COMPMID-479 Add GoogleNetInceptionV4 benchmarks

Change-Id: I8616ad6d2435a88c27088ef7f0d83d199920b2be
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84177
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

17 files changed, 631 insertions, 0 deletions

diff --git a/tests/benchmark_new/CL/ActivationLayer.cpp b/tests/benchmark_new/CL/ActivationLayer.cpp
index a5f94095e3..1aa571b2dc 100644
--- a/tests/benchmark_new/CL/ActivationLayer.cpp
+++ b/tests/benchmark_new/CL/ActivationLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5ActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h"
@@ -65,6 +66,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, CLActivatio
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(),
                                                                                         data_types),
@@ -91,6 +97,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, CLActivatio
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(),
                                                                                         data_types),
diff --git a/tests/benchmark_new/CL/BatchNormalizationLayer.cpp b/tests/benchmark_new/CL/BatchNormalizationLayer.cpp
index aa26912dd3..fb081341c9 100644
--- a/tests/benchmark_new/CL/BatchNormalizationLayer.cpp
+++ b/tests/benchmark_new/CL/BatchNormalizationLayer.cpp
@@ -30,6 +30,7 @@
 #include "framework/datasets/Datasets.h"
 #include "tests/CL/CLAccessor.h"
 #include "tests/TypePrinter.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h"
 #include "tests/fixtures_new/BatchNormalizationLayerFixture.h"
 
@@ -51,11 +52,21 @@ REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizat
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
 TEST_SUITE(NIGHTLY)
 REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(),
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
 TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
diff --git a/tests/benchmark_new/CL/ConvolutionLayer.cpp b/tests/benchmark_new/CL/ConvolutionLayer.cpp
index 2ebb2dd5d5..c820a47ccb 100644
--- a/tests/benchmark_new/CL/ConvolutionLayer.cpp
+++ b/tests/benchmark_new/CL/ConvolutionLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
@@ -65,6 +66,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLConvolut
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
                                                                                         data_types),
@@ -86,6 +92,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLConvolut
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 8)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
                                                                                         data_types),
diff --git a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
index 4a4fe87ec2..cb360a834b 100644
--- a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
+++ b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
 #include "tests/fixtures_new/ConvolutionLayerFixture.h"
@@ -59,6 +60,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLCo
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
                                                                                         data_types),
@@ -75,6 +81,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLCo
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 8)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
                                                                                         data_types),
diff --git a/tests/benchmark_new/CL/FullyConnectedLayer.cpp b/tests/benchmark_new/CL/FullyConnectedLayer.cpp
index f4a7e603ce..e069bc67c3 100644
--- a/tests/benchmark_new/CL/FullyConnectedLayer.cpp
+++ b/tests/benchmark_new/CL/FullyConnectedLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h"
 #include "tests/fixtures_new/FullyConnectedLayerFixture.h"
 
@@ -63,6 +64,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFully
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
+
 TEST_SUITE(NIGHTLY)
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
@@ -78,6 +84,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, CLFully
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(),
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
 TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
diff --git a/tests/benchmark_new/CL/PoolingLayer.cpp b/tests/benchmark_new/CL/PoolingLayer.cpp
index c61ba1080b..96054f6936 100644
--- a/tests/benchmark_new/CL/PoolingLayer.cpp
+++ b/tests/benchmark_new/CL/PoolingLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetPoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5PoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h"
@@ -65,6 +66,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayer
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(),
                                                                                         data_types),
@@ -91,6 +97,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, CLPoolingLayer
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(),
                                                                                         data_types),
diff --git a/tests/benchmark_new/NEON/ActivationLayer.cpp b/tests/benchmark_new/NEON/ActivationLayer.cpp
index 86267d9528..3020b959cb 100644
--- a/tests/benchmark_new/NEON/ActivationLayer.cpp
+++ b/tests/benchmark_new/NEON/ActivationLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5ActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h"
@@ -66,6 +67,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivatio
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 1)));
@@ -87,6 +92,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivatio
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
diff --git a/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp b/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp
index 48c22dcc3b..ffc7d4b19e 100644
--- a/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp
+++ b/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp
@@ -31,6 +31,7 @@
 #include "tests/NEON/Accessor.h"
 #include "tests/TypePrinter.h"
 
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h"
 #include "tests/fixtures_new/BatchNormalizationLayerFixture.h"
 
@@ -55,10 +56,18 @@ REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizat
                                 framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
 TEST_SUITE(NIGHTLY)
 REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
 TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp
index 3a6bb46014..661463336f 100644
--- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp
+++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
@@ -66,6 +67,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolut
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
@@ -83,6 +88,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolut
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 8)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 8)));
diff --git a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp
index f5a802b647..a9898e7f96 100644
--- a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp
+++ b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp
@@ -33,6 +33,7 @@
 #include "tests/datasets_new/DirectConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
 #include "tests/fixtures_new/ConvolutionLayerFixture.h"
@@ -62,6 +63,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NECo
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
@@ -75,6 +80,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NECo
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 8)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
                                                             framework::dataset::make("Batches", 8)));
diff --git a/tests/benchmark_new/NEON/FullyConnectedLayer.cpp b/tests/benchmark_new/NEON/FullyConnectedLayer.cpp
index ddfe595427..a990cdec39 100644
--- a/tests/benchmark_new/NEON/FullyConnectedLayer.cpp
+++ b/tests/benchmark_new/NEON/FullyConnectedLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h"
 #include "tests/fixtures_new/FullyConnectedLayerFixture.h"
 
@@ -67,6 +68,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFully
                                                                                         data_types),
                                                             framework::dataset::make("Batches", { 1, 4 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
+
 TEST_SUITE(NIGHTLY)
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
@@ -82,6 +88,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFully
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(),
                                                                                         data_types),
                                                             framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
 TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
diff --git a/tests/benchmark_new/NEON/PoolingLayer.cpp b/tests/benchmark_new/NEON/PoolingLayer.cpp
index 145dab0c4e..a30bcc1f69 100644
--- a/tests/benchmark_new/NEON/PoolingLayer.cpp
+++ b/tests/benchmark_new/NEON/PoolingLayer.cpp
@@ -32,6 +32,7 @@
 #include "tests/TypePrinter.h"
 #include "tests/datasets_new/system_tests/alexnet/AlexNetPoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h"
+#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/lenet5/LeNet5PoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h"
 #include "tests/datasets_new/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h"
@@ -63,6 +64,9 @@ REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, frame
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
 
@@ -79,6 +83,9 @@ REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, frame
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
 
diff --git a/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h
new file mode 100644
index 0000000000..665260dd77
--- /dev/null
+++ b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h
@@ -0,0 +1,105 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_ACTIVATION_LAYER_DATASET
+
+#include "framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4ActivationLayerDataset final : public
+    framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+    GoogLeNetInceptionV4ActivationLayerDataset()
+        : CartesianProductDataset
+    {
+        framework::dataset::make("Shape", { // conv1_3x3_s2_relu
+            TensorShape(149U, 149U, 32U),
+            // conv2_3x3_s1_relu
+            TensorShape(147U, 147U, 32U),
+            // conv3_3x3_s1_relu
+            TensorShape(147U, 147U, 64U),
+            // inception_stem1_3x3_s2_relu
+            TensorShape(73U, 73U, 96U),
+            // inception_stem2_3x3_reduce_relu, inception_stem2_1x7_reduce_relu, inception_stem2_1x7_relu, inception_stem2_7x1_relu
+            TensorShape(73U, 73U, 64U),
+            // inception_stem2_3x3_relu, inception_stem2_3x3_2_relu
+            TensorShape(71U, 71U, 96U),
+            // inception_stem3_3x3_s2_relu, reduction_a_3x3_2_reduce_relu
+            TensorShape(35U, 35U, 192U),
+            // inception_a1_1x1_2_relu, inception_a1_3x3_relu, inception_a1_3x3_2_relu, inception_a1_3x3_3_relu, inception_a2_1x1_2_relu, inception_a2_3x3_relu, inception_a2_3x3_2_relu, inception_a2_3x3_3_relu, inception_a3_1x1_2_relu, inception_a3_3x3_relu, inception_a3_3x3_2_relu, inception_a3_3x3_3_relu, inception_a4_1x1_2_relu, inception_a4_3x3_relu, inception_a4_3x3_2_relu, inception_a4_3x3_3_relu
+            TensorShape(35U, 35U, 96U),
+            // inception_a1_3x3_reduce_relu, inception_a1_3x3_2_reduce_relu, inception_a2_3x3_reduce_relu, inception_a2_3x3_2_reduce_relu, inception_a3_3x3_reduce_relu, inception_a3_3x3_2_reduce_relu, inception_a4_3x3_reduce_relu, inception_a4_3x3_2_reduce_relu
+            TensorShape(35U, 35U, 64U),
+            // inception_a1_1x1_relu, inception_a2_1x1_relu, inception_a3_1x1_relu, inception_a4_1x1_relu
+            TensorShape(3U, 3U, 96U),
+            // reduction_a_3x3_relu, inception_b1_1x1_2_relu, inception_b2_1x1_2_relu, inception_b3_1x1_2_relu, inception_b4_1x1_2_relu, inception_b5_1x1_2_relu, inception_b6_1x1_2_relu, inception_b7_1x1_2_relu
+            TensorShape(17U, 17U, 384U),
+            // reduction_a_3x3_2_relu
+            TensorShape(35U, 35U, 224U),
+            // reduction_a_3x3_3_relu, inception_b1_7x1_relu, inception_b1_1x7_3_relu, inception_b2_7x1_relu, inception_b2_1x7_3_relu, inception_b3_7x1_relu, inception_b3_1x7_3_relu, inception_b4_7x1_relu, inception_b4_1x7_3_relu, inception_b5_7x1_relu, inception_b5_1x7_3_relu, inception_b6_7x1_relu, inception_b6_1x7_3_relu, inception_b7_7x1_relu, inception_b7_1x7_3_relu, reduction_b_1x7_reduce_relu, reduction_b_1x7_relu
+            TensorShape(17U, 17U, 256U),
+            // inception_b1_1x7_reduce_relu, inception_b1_7x1_2_reduce_relu, inception_b1_7x1_2_relu, inception_b2_1x7_reduce_relu, inception_b2_7x1_2_reduce_relu, inception_b2_7x1_2_relu, inception_b3_1x7_reduce_relu, inception_b3_7x1_2_reduce_relu, inception_b3_7x1_2_relu, inception_b4_1x7_reduce_relu, inception_b4_7x1_2_reduce_relu, inception_b4_7x1_2_relu, inception_b5_1x7_reduce_relu, inception_b5_7x1_2_reduce_relu, inception_b5_7x1_2_relu, inception_b6_1x7_reduce_relu, inception_b6_7x1_2_reduce_relu, inception_b6_7x1_2_relu, inception_b7_1x7_reduce_relu, inception_b7_7x1_2_reduce_relu, inception_b7_7x1_2_relu, reduction_b_3x3_reduce_relu
+            TensorShape(17U, 17U, 192U),
+            // inception_b1_1x7_relu, inception_b1_1x7_2_relu, inception_b1_7x1_3_relu, inception_b2_1x7_relu, inception_b2_1x7_2_relu, inception_b2_7x1_3_relu, inception_b3_1x7_relu, inception_b3_1x7_2_relu, inception_b3_7x1_3_relu, inception_b4_1x7_relu, inception_b4_1x7_2_relu, inception_b4_7x1_3_relu, inception_b5_1x7_relu, inception_b5_1x7_2_relu, inception_b5_7x1_3_relu, inception_b6_1x7_relu, inception_b6_1x7_2_relu, inception_b6_7x1_3_relu, inception_b7_1x7_relu, inception_b7_1x7_2_relu, inception_b7_7x1_3_relu
+            TensorShape(17U, 17U, 224U),
+            // inception_b1_1x1_relu, inception_b2_1x1_relu, inception_b3_1x1_relu, inception_b4_1x1_relu, inception_b5_1x1_relu, inception_b6_1x1_relu, inception_b7_1x1_relu
+            TensorShape(3U, 3U, 128U),
+            // reduction_b_3x3_relu
+            TensorShape(8U, 8U, 192U),
+            // reduction_b_7x1_relu
+            TensorShape(17U, 17U, 320U),
+            // reduction_b_3x3_2_relu
+            TensorShape(8U, 8U, 320U),
+            // inception_c1_1x1_2_relu, inception_c1_1x3_relu, inception_c1_3x1_relu, inception_c1_1x3_3_relu, inception_c1_3x1_3_relu, inception_c2_1x1_2_relu, inception_c2_1x3_relu, inception_c2_3x1_relu, inception_c2_1x3_3_relu, inception_c2_3x1_3_relu, inception_c3_1x1_2_relu, inception_c3_1x3_relu, inception_c3_3x1_relu, inception_c3_1x3_3_relu, inception_c3_3x1_3_relu
+            TensorShape(8U, 8U, 256U),
+            // inception_c1_1x1_3_relu, inception_c1_1x1_4_relu, inception_c2_1x1_3_relu, inception_c2_1x1_4_relu, inception_c3_1x1_3_relu, inception_c3_1x1_4_relu
+            TensorShape(8U, 8U, 384U),
+            // inception_c1_3x1_2_relu, inception_c2_3x1_2_relu, inception_c3_3x1_2_relu
+            TensorShape(8U, 8U, 448U),
+            // inception_c1_1x3_2_relu, inception_c2_1x3_2_relu, inception_c3_1x3_2_relu
+            TensorShape(8U, 8U, 512U),
+            // inception_c1_1x1_relu, inception_c2_1x1_relu, inception_c3_1x1_relu
+            TensorShape(3U, 3U, 256U) }),
+        framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+    }
+    {
+    }
+    GoogLeNetInceptionV4ActivationLayerDataset(GoogLeNetInceptionV4ActivationLayerDataset &&) = default;
+    ~GoogLeNetInceptionV4ActivationLayerDataset()                                             = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h
new file mode 100644
index 0000000000..563708dc56
--- /dev/null
+++ b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h
@@ -0,0 +1,98 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET
+
+#include "tests/datasets_new/BatchNormalizationLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4BatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset
+{
+public:
+    GoogLeNetInceptionV4BatchNormalizationLayerDataset()
+    {
+        // conv1_3x3_s2_bn
+        add_config(TensorShape(149U, 149U, 32U), TensorShape(32U), 0.000010f);
+        // conv2_3x3_s1_bn
+        add_config(TensorShape(147U, 147U, 32U), TensorShape(32U), 0.000010f);
+        // conv3_3x3_s1_bn
+        add_config(TensorShape(147U, 147U, 64U), TensorShape(64U), 0.000010f);
+        // inception_stem1_3x3_s2_bn
+        add_config(TensorShape(73U, 73U, 96U), TensorShape(96U), 0.000010f);
+        // inception_stem2_3x3_reduce_bn, inception_stem2_1x7_reduce_bn, inception_stem2_1x7_bn, inception_stem2_7x1_bn
+        add_config(TensorShape(73U, 73U, 64U), TensorShape(64U), 0.000010f);
+        // inception_stem2_3x3_bn, inception_stem2_3x3_2_bn
+        add_config(TensorShape(71U, 71U, 96U), TensorShape(96U), 0.000010f);
+        // inception_stem3_3x3_s2_bn, reduction_a_3x3_2_reduce_bn
+        add_config(TensorShape(35U, 35U, 192U), TensorShape(192U), 0.000010f);
+        // inception_a1_1x1_2_bn, inception_a1_3x3_bn, inception_a1_3x3_2_bn, inception_a1_3x3_3_bn, inception_a2_1x1_2_bn, inception_a2_3x3_bn, inception_a2_3x3_2_bn, inception_a2_3x3_3_bn, inception_a3_1x1_2_bn, inception_a3_3x3_bn, inception_a3_3x3_2_bn, inception_a3_3x3_3_bn, inception_a4_1x1_2_bn, inception_a4_3x3_bn, inception_a4_3x3_2_bn, inception_a4_3x3_3_bn
+        add_config(TensorShape(35U, 35U, 96U), TensorShape(96U), 0.000010f);
+        // inception_a1_3x3_reduce_bn, inception_a1_3x3_2_reduce_bn, inception_a2_3x3_reduce_bn, inception_a2_3x3_2_reduce_bn, inception_a3_3x3_reduce_bn, inception_a3_3x3_2_reduce_bn, inception_a4_3x3_reduce_bn, inception_a4_3x3_2_reduce_bn
+        add_config(TensorShape(35U, 35U, 64U), TensorShape(64U), 0.000010f);
+        // inception_a1_1x1_bn, inception_a2_1x1_bn, inception_a3_1x1_bn, inception_a4_1x1_bn
+        add_config(TensorShape(3U, 3U, 96U), TensorShape(96U), 0.000010f);
+        // reduction_a_3x3_bn, inception_b1_1x1_2_bn, inception_b2_1x1_2_bn, inception_b3_1x1_2_bn, inception_b4_1x1_2_bn, inception_b5_1x1_2_bn, inception_b6_1x1_2_bn, inception_b7_1x1_2_bn
+        add_config(TensorShape(17U, 17U, 384U), TensorShape(384U), 0.000010f);
+        // reduction_a_3x3_2_bn
+        add_config(TensorShape(35U, 35U, 224U), TensorShape(224U), 0.000010f);
+        // reduction_a_3x3_3_bn, inception_b1_7x1_bn, inception_b1_1x7_3_bn, inception_b2_7x1_bn, inception_b2_1x7_3_bn, inception_b3_7x1_bn, inception_b3_1x7_3_bn, inception_b4_7x1_bn, inception_b4_1x7_3_bn, inception_b5_7x1_bn, inception_b5_1x7_3_bn, inception_b6_7x1_bn, inception_b6_1x7_3_bn, inception_b7_7x1_bn, inception_b7_1x7_3_bn, reduction_b_1x7_reduce_bn, reduction_b_1x7_bn
+        add_config(TensorShape(17U, 17U, 256U), TensorShape(256U), 0.000010f);
+        // inception_b1_1x7_reduce_bn, inception_b1_7x1_2_reduce_bn, inception_b1_7x1_2_bn, inception_b2_1x7_reduce_bn, inception_b2_7x1_2_reduce_bn, inception_b2_7x1_2_bn, inception_b3_1x7_reduce_bn, inception_b3_7x1_2_reduce_bn, inception_b3_7x1_2_bn, inception_b4_1x7_reduce_bn, inception_b4_7x1_2_reduce_bn, inception_b4_7x1_2_bn, inception_b5_1x7_reduce_bn, inception_b5_7x1_2_reduce_bn, inception_b5_7x1_2_bn, inception_b6_1x7_reduce_bn, inception_b6_7x1_2_reduce_bn, inception_b6_7x1_2_bn, inception_b7_1x7_reduce_bn, inception_b7_7x1_2_reduce_bn, inception_b7_7x1_2_bn, reduction_b_3x3_reduce_bn
+        add_config(TensorShape(17U, 17U, 192U), TensorShape(192U), 0.000010f);
+        // inception_b1_1x7_bn, inception_b1_1x7_2_bn, inception_b1_7x1_3_bn, inception_b2_1x7_bn, inception_b2_1x7_2_bn, inception_b2_7x1_3_bn, inception_b3_1x7_bn, inception_b3_1x7_2_bn, inception_b3_7x1_3_bn, inception_b4_1x7_bn, inception_b4_1x7_2_bn, inception_b4_7x1_3_bn, inception_b5_1x7_bn, inception_b5_1x7_2_bn, inception_b5_7x1_3_bn, inception_b6_1x7_bn, inception_b6_1x7_2_bn, inception_b6_7x1_3_bn, inception_b7_1x7_bn, inception_b7_1x7_2_bn, inception_b7_7x1_3_bn
+        add_config(TensorShape(17U, 17U, 224U), TensorShape(224U), 0.000010f);
+        // inception_b1_1x1_bn, inception_b2_1x1_bn, inception_b3_1x1_bn, inception_b4_1x1_bn, inception_b5_1x1_bn, inception_b6_1x1_bn, inception_b7_1x1_bn
+        add_config(TensorShape(3U, 3U, 128U), TensorShape(128U), 0.000010f);
+        // reduction_b_3x3_bn
+        add_config(TensorShape(8U, 8U, 192U), TensorShape(192U), 0.000010f);
+        // reduction_b_7x1_bn
+        add_config(TensorShape(17U, 17U, 320U), TensorShape(320U), 0.000010f);
+        // reduction_b_3x3_2_bn
+        add_config(TensorShape(8U, 8U, 320U), TensorShape(320U), 0.000010f);
+        // inception_c1_1x1_2_bn, inception_c1_1x3_bn, inception_c1_3x1_bn, inception_c1_1x3_3_bn, inception_c1_3x1_3_bn, inception_c2_1x1_2_bn, inception_c2_1x3_bn, inception_c2_3x1_bn, inception_c2_1x3_3_bn, inception_c2_3x1_3_bn, inception_c3_1x1_2_bn, inception_c3_1x3_bn, inception_c3_3x1_bn, inception_c3_1x3_3_bn, inception_c3_3x1_3_bn
+        add_config(TensorShape(8U, 8U, 256U), TensorShape(256U), 0.000010f);
+        // inception_c1_1x1_3_bn, inception_c1_1x1_4_bn, inception_c2_1x1_3_bn, inception_c2_1x1_4_bn, inception_c3_1x1_3_bn, inception_c3_1x1_4_bn
+        add_config(TensorShape(8U, 8U, 384U), TensorShape(384U), 0.000010f);
+        // inception_c1_3x1_2_bn, inception_c2_3x1_2_bn, inception_c3_3x1_2_bn
+        add_config(TensorShape(8U, 8U, 448U), TensorShape(448U), 0.000010f);
+        // inception_c1_1x3_2_bn, inception_c2_1x3_2_bn, inception_c3_1x3_2_bn
+        add_config(TensorShape(8U, 8U, 512U), TensorShape(512U), 0.000010f);
+        // inception_c1_1x1_bn, inception_c2_1x1_bn, inception_c3_1x1_bn
+        add_config(TensorShape(3U, 3U, 256U), TensorShape(256U), 0.000010f);
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET */
diff --git a/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h
new file mode 100644
index 0000000000..9900f24bdc
--- /dev/null
+++ b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h
@@ -0,0 +1,192 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets_new/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4ConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+    // GoogLeNetInceptionV4 inception v1 dataset
+    GoogLeNetInceptionV4ConvolutionLayerDataset()
+    {
+        // conv1_3x3_s2
+        add_config(TensorShape(299U, 299U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(149U, 149U, 32U), PadStrideInfo(2, 2, 0, 0));
+        // conv2_3x3_s1
+        add_config(TensorShape(149U, 149U, 32U), TensorShape(3U, 3U, 32U, 32U), TensorShape(32U), TensorShape(147U, 147U, 32U), PadStrideInfo(1, 1, 0, 0));
+        // conv3_3x3_s1
+        add_config(TensorShape(147U, 147U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(147U, 147U, 64U), PadStrideInfo(1, 1, 1, 1));
+        // inception_stem1_3x3_s2
+        add_config(TensorShape(147U, 147U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(73U, 73U, 96U), PadStrideInfo(2, 2, 0, 0));
+        // inception_stem2_3x3_reduce, inception_stem2_1x7_reduce
+        add_config(TensorShape(73U, 73U, 160U), TensorShape(1U, 1U, 160U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 0));
+        // inception_stem2_3x3, inception_stem2_3x3_2
+        add_config(TensorShape(73U, 73U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(71U, 71U, 96U), PadStrideInfo(1, 1, 0, 0));
+        // inception_stem2_1x7
+        add_config(TensorShape(73U, 73U, 64U), TensorShape(7U, 1U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 3, 0));
+        // inception_stem2_7x1
+        add_config(TensorShape(73U, 73U, 64U), TensorShape(1U, 7U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 3));
+        // inception_stem3_3x3_s2
+        add_config(TensorShape(71U, 71U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(2, 2, 0, 0));
+        // inception_a1_1x1_2, inception_a2_1x1_2, inception_a3_1x1_2, inception_a4_1x1_2
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 0, 0));
+        // inception_a1_3x3_reduce, inception_a1_3x3_2_reduce, inception_a2_3x3_reduce, inception_a2_3x3_2_reduce, inception_a3_3x3_reduce, inception_a3_3x3_2_reduce, inception_a4_3x3_reduce, inception_a4_3x3_2_reduce
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(35U, 35U, 64U), PadStrideInfo(1, 1, 0, 0));
+        // inception_a1_3x3, inception_a1_3x3_2, inception_a2_3x3, inception_a2_3x3_2, inception_a3_3x3, inception_a3_3x3_2, inception_a4_3x3, inception_a4_3x3_2
+        add_config(TensorShape(35U, 35U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+        // inception_a1_3x3_3, inception_a2_3x3_3, inception_a3_3x3_3, inception_a4_3x3_3
+        add_config(TensorShape(35U, 35U, 96U), TensorShape(3U, 3U, 96U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+        // inception_a1_1x1, inception_a2_1x1, inception_a3_1x1, inception_a4_1x1
+        add_config(TensorShape(3U, 3U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(3U, 3U, 96U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_a_3x3
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(2, 2, 0, 0));
+        // reduction_a_3x3_2_reduce
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_a_3x3_2
+        add_config(TensorShape(35U, 35U, 192U), TensorShape(3U, 3U, 192U, 224U), TensorShape(224U), TensorShape(35U, 35U, 224U), PadStrideInfo(1, 1, 1, 1));
+        // reduction_a_3x3_3
+        add_config(TensorShape(35U, 35U, 224U), TensorShape(3U, 3U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(2, 2, 0, 0));
+        // inception_b1_1x1_2, inception_b2_1x1_2, inception_b3_1x1_2, inception_b4_1x1_2, inception_b5_1x1_2, inception_b6_1x1_2, inception_b7_1x1_2
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(1, 1, 0, 0));
+        // inception_b1_1x7_reduce, inception_b1_7x1_2_reduce, inception_b2_1x7_reduce, inception_b2_7x1_2_reduce, inception_b3_1x7_reduce, inception_b3_7x1_2_reduce, inception_b4_1x7_reduce, inception_b4_7x1_2_reduce, inception_b5_1x7_reduce, inception_b5_7x1_2_reduce, inception_b6_1x7_reduce, inception_b6_7x1_2_reduce, inception_b7_1x7_reduce, inception_b7_7x1_2_reduce, reduction_b_3x3_reduce
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 0));
+        // inception_b1_1x7, inception_b1_1x7_2, inception_b2_1x7, inception_b2_1x7_2, inception_b3_1x7, inception_b3_1x7_2, inception_b4_1x7, inception_b4_1x7_2, inception_b5_1x7, inception_b5_1x7_2, inception_b6_1x7, inception_b6_1x7_2, inception_b7_1x7, inception_b7_1x7_2
+        add_config(TensorShape(17U, 17U, 192U), TensorShape(7U, 1U, 192U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 3, 0));
+        // inception_b1_7x1, inception_b2_7x1, inception_b3_7x1, inception_b4_7x1, inception_b5_7x1, inception_b6_7x1, inception_b7_7x1
+        add_config(TensorShape(17U, 17U, 224U), TensorShape(1U, 7U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 3));
+        // inception_b1_7x1_2, inception_b2_7x1_2, inception_b3_7x1_2, inception_b4_7x1_2, inception_b5_7x1_2, inception_b6_7x1_2, inception_b7_7x1_2
+        add_config(TensorShape(17U, 17U, 192U), TensorShape(1U, 7U, 192U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 3));
+        // inception_b1_7x1_3, inception_b2_7x1_3, inception_b3_7x1_3, inception_b4_7x1_3, inception_b5_7x1_3, inception_b6_7x1_3, inception_b7_7x1_3
+        add_config(TensorShape(17U, 17U, 224U), TensorShape(1U, 7U, 224U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 0, 3));
+        // inception_b1_1x7_3, inception_b2_1x7_3, inception_b3_1x7_3, inception_b4_1x7_3, inception_b5_1x7_3, inception_b6_1x7_3, inception_b7_1x7_3
+        add_config(TensorShape(17U, 17U, 224U), TensorShape(7U, 1U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));
+        // inception_b1_1x1, inception_b2_1x1, inception_b3_1x1, inception_b4_1x1, inception_b5_1x1, inception_b6_1x1, inception_b7_1x1
+        add_config(TensorShape(3U, 3U, 1024U), TensorShape(1U, 1U, 1024U, 128U), TensorShape(128U), TensorShape(3U, 3U, 128U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_b_3x3
+        add_config(TensorShape(17U, 17U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(8U, 8U, 192U), PadStrideInfo(2, 2, 0, 0));
+        // reduction_b_1x7_reduce
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_b_1x7
+        add_config(TensorShape(17U, 17U, 256U), TensorShape(7U, 1U, 256U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));
+        // reduction_b_7x1
+        add_config(TensorShape(17U, 17U, 256U), TensorShape(1U, 7U, 256U, 320U), TensorShape(320U), TensorShape(17U, 17U, 320U), PadStrideInfo(1, 1, 0, 3));
+        // reduction_b_3x3_2
+        add_config(TensorShape(17U, 17U, 320U), TensorShape(3U, 3U, 320U, 320U), TensorShape(320U), TensorShape(8U, 8U, 320U), PadStrideInfo(2, 2, 0, 0));
+        // inception_c1_1x1_2, inception_c2_1x1_2, inception_c3_1x1_2
+        add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 0));
+        // inception_c1_1x1_3, inception_c1_1x1_4, inception_c2_1x1_3, inception_c2_1x1_4, inception_c3_1x1_3, inception_c3_1x1_4
+        add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 384U), TensorShape(384U), TensorShape(8U, 8U, 384U), PadStrideInfo(1, 1, 0, 0));
+        // inception_c1_1x3, inception_c2_1x3, inception_c3_1x3
+        add_config(TensorShape(8U, 8U, 384U), TensorShape(3U, 1U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));
+        // inception_c1_3x1, inception_c2_3x1, inception_c3_3x1
+        add_config(TensorShape(8U, 8U, 384U), TensorShape(1U, 3U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));
+        // inception_c1_3x1_2, inception_c2_3x1_2, inception_c3_3x1_2
+        add_config(TensorShape(8U, 8U, 384U), TensorShape(1U, 3U, 384U, 448U), TensorShape(448U), TensorShape(8U, 8U, 448U), PadStrideInfo(1, 1, 0, 1));
+        // inception_c1_1x3_2, inception_c2_1x3_2, inception_c3_1x3_2
+        add_config(TensorShape(8U, 8U, 448U), TensorShape(3U, 1U, 448U, 512U), TensorShape(512U), TensorShape(8U, 8U, 512U), PadStrideInfo(1, 1, 1, 0));
+        // inception_c1_1x3_3, inception_c2_1x3_3, inception_c3_1x3_3
+        add_config(TensorShape(8U, 8U, 512U), TensorShape(3U, 1U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));
+        // inception_c1_3x1_3, inception_c2_3x1_3, inception_c3_3x1_3
+        add_config(TensorShape(8U, 8U, 512U), TensorShape(1U, 3U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));
+        // inception_c1_1x1, inception_c2_1x1, inception_c3_1x1
+        add_config(TensorShape(3U, 3U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(3U, 3U, 256U), PadStrideInfo(1, 1, 0, 0));
+    }
+};
+
+/** A subset of GoogLeNetInceptionV4 convolution layers with filter dimensions supported by DirectConvolution kernel */
+class GoogLeNetInceptionV4DirectConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+    // subset of GoogLeNetInceptionV4 inception v1 dataset
+    GoogLeNetInceptionV4DirectConvolutionLayerDataset()
+    {
+        // conv1_3x3_s2
+        add_config(TensorShape(299U, 299U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(149U, 149U, 32U), PadStrideInfo(2, 2, 0, 0));
+        // conv2_3x3_s1
+        add_config(TensorShape(149U, 149U, 32U), TensorShape(3U, 3U, 32U, 32U), TensorShape(32U), TensorShape(147U, 147U, 32U), PadStrideInfo(1, 1, 0, 0));
+        // conv3_3x3_s1
+        add_config(TensorShape(147U, 147U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(147U, 147U, 64U), PadStrideInfo(1, 1, 1, 1));
+        // inception_stem1_3x3_s2
+        add_config(TensorShape(147U, 147U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(73U, 73U, 96U), PadStrideInfo(2, 2, 0, 0));
+        // inception_stem2_3x3_reduce, inception_stem2_1x7_reduce
+        add_config(TensorShape(73U, 73U, 160U), TensorShape(1U, 1U, 160U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 0));
+        // inception_stem2_3x3, inception_stem2_3x3_2
+        add_config(TensorShape(73U, 73U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(71U, 71U, 96U), PadStrideInfo(1, 1, 0, 0));
+        // inception_stem3_3x3_s2
+        add_config(TensorShape(71U, 71U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(2, 2, 0, 0));
+        // inception_a1_1x1_2, inception_a2_1x1_2, inception_a3_1x1_2, inception_a4_1x1_2
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 0, 0));
+        // inception_a1_3x3_reduce, inception_a1_3x3_2_reduce, inception_a2_3x3_reduce, inception_a2_3x3_2_reduce, inception_a3_3x3_reduce, inception_a3_3x3_2_reduce, inception_a4_3x3_reduce, inception_a4_3x3_2_reduce
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(35U, 35U, 64U), PadStrideInfo(1, 1, 0, 0));
+        // inception_a1_3x3, inception_a1_3x3_2, inception_a2_3x3, inception_a2_3x3_2, inception_a3_3x3, inception_a3_3x3_2, inception_a4_3x3, inception_a4_3x3_2
+        add_config(TensorShape(35U, 35U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+        // inception_a1_3x3_3, inception_a2_3x3_3, inception_a3_3x3_3, inception_a4_3x3_3
+        add_config(TensorShape(35U, 35U, 96U), TensorShape(3U, 3U, 96U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+        // inception_a1_1x1, inception_a2_1x1, inception_a3_1x1, inception_a4_1x1
+        add_config(TensorShape(3U, 3U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(3U, 3U, 96U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_a_3x3
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(2, 2, 0, 0));
+        // reduction_a_3x3_2_reduce
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_a_3x3_2
+        add_config(TensorShape(35U, 35U, 192U), TensorShape(3U, 3U, 192U, 224U), TensorShape(224U), TensorShape(35U, 35U, 224U), PadStrideInfo(1, 1, 1, 1));
+        // reduction_a_3x3_3
+        add_config(TensorShape(35U, 35U, 224U), TensorShape(3U, 3U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(2, 2, 0, 0));
+        // inception_b1_1x1_2, inception_b2_1x1_2, inception_b3_1x1_2, inception_b4_1x1_2, inception_b5_1x1_2, inception_b6_1x1_2, inception_b7_1x1_2
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(1, 1, 0, 0));
+        // inception_b1_1x7_reduce, inception_b1_7x1_2_reduce, inception_b2_1x7_reduce, inception_b2_7x1_2_reduce, inception_b3_1x7_reduce, inception_b3_7x1_2_reduce, inception_b4_1x7_reduce, inception_b4_7x1_2_reduce, inception_b5_1x7_reduce, inception_b5_7x1_2_reduce, inception_b6_1x7_reduce, inception_b6_7x1_2_reduce, inception_b7_1x7_reduce, inception_b7_7x1_2_reduce, reduction_b_3x3_reduce
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 0));
+        // inception_b1_1x1, inception_b2_1x1, inception_b3_1x1, inception_b4_1x1, inception_b5_1x1, inception_b6_1x1, inception_b7_1x1
+        add_config(TensorShape(3U, 3U, 1024U), TensorShape(1U, 1U, 1024U, 128U), TensorShape(128U), TensorShape(3U, 3U, 128U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_b_3x3
+        add_config(TensorShape(17U, 17U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(8U, 8U, 192U), PadStrideInfo(2, 2, 0, 0));
+        // reduction_b_1x7_reduce
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 0));
+        // reduction_b_3x3_2
+        add_config(TensorShape(17U, 17U, 320U), TensorShape(3U, 3U, 320U, 320U), TensorShape(320U), TensorShape(8U, 8U, 320U), PadStrideInfo(2, 2, 0, 0));
+        // inception_c1_1x1_2, inception_c2_1x1_2, inception_c3_1x1_2
+        add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 0));
+        // inception_c1_1x1_3, inception_c1_1x1_4, inception_c2_1x1_3, inception_c2_1x1_4, inception_c3_1x1_3, inception_c3_1x1_4
+        add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 384U), TensorShape(384U), TensorShape(8U, 8U, 384U), PadStrideInfo(1, 1, 0, 0));
+        // inception_c1_1x1, inception_c2_1x1, inception_c3_1x1
+        add_config(TensorShape(3U, 3U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(3U, 3U, 256U), PadStrideInfo(1, 1, 0, 0));
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h
new file mode 100644
index 0000000000..cf69969197
--- /dev/null
+++ b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h
@@ -0,0 +1,51 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/datasets_new/FullyConnectedLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4FullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+    GoogLeNetInceptionV4FullyConnectedLayerDataset()
+    {
+        add_config(TensorShape(1536U), TensorShape(1536U, 1000U), TensorShape(1000U), TensorShape(1000U));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h
new file mode 100644
index 0000000000..117d96bc4f
--- /dev/null
+++ b/tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h
@@ -0,0 +1,65 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET
+
+#include "tests/datasets_new/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4PoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+    GoogLeNetInceptionV4PoolingLayerDataset()
+    {
+        // FIXME: Add support for global pooling layer pool_8x8_s1
+        // inception_stem1_pool
+        add_config(TensorShape(147U, 147U, 64U), TensorShape(73U, 73U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+        // inception_stem3_pool
+        add_config(TensorShape(71U, 71U, 192U), TensorShape(35U, 35U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+        // inception_a1_pool_ave, inception_a2_pool_ave, inception_a3_pool_ave, inception_a4_pool_ave
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+        // reduction_a_pool
+        add_config(TensorShape(35U, 35U, 384U), TensorShape(17U, 17U, 384U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+        // inception_b1_pool_ave, inception_b2_pool_ave, inception_b3_pool_ave, inception_b4_pool_ave, inception_b5_pool_ave, inception_b6_pool_ave, inception_b7_pool_ave
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(3U, 3U, 1024U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+        // reduction_b_pool
+        add_config(TensorShape(17U, 17U, 1024U), TensorShape(8U, 8U, 1024U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+        // inception_c1_pool_ave, inception_c2_pool_ave, inception_c3_pool_ave
+        add_config(TensorShape(8U, 8U, 1536U), TensorShape(3U, 3U, 1536U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET */