COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

12 files changed, 1002 insertions, 0 deletions

diff --git a/tests/benchmark/NEON/ActivationLayer.cpp b/tests/benchmark/NEON/ActivationLayer.cpp
new file mode 100644
index 0000000000..0b699f2501
--- /dev/null
+++ b/tests/benchmark/NEON/ActivationLayer.cpp
@@ -0,0 +1,118 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/ActivationLayerFixture.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h"
+#include "tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h"
+#include "tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h"
+#include "tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h"
+#include "tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEActivationLayerFixture = ActivationLayerFixture<Tensor, NEActivationLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                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)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                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 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/BatchNormalizationLayer.cpp b/tests/benchmark/NEON/BatchNormalizationLayer.cpp
new file mode 100644
index 0000000000..1b0d484404
--- /dev/null
+++ b/tests/benchmark/NEON/BatchNormalizationLayer.cpp
@@ -0,0 +1,74 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/benchmark/fixtures/BatchNormalizationLayerFixture.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h"
+#include "tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<Tensor, NEBatchNormalizationLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
+                                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
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/ConvolutionLayer.cpp b/tests/benchmark/NEON/ConvolutionLayer.cpp
new file mode 100644
index 0000000000..ba682825f1
--- /dev/null
+++ b/tests/benchmark/NEON/ConvolutionLayer.cpp
@@ -0,0 +1,111 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEConvolutionLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+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)));
+
+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)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 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", { 4, 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", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/DirectConvolutionLayer.cpp b/tests/benchmark/NEON/DirectConvolutionLayer.cpp
new file mode 100644
index 0000000000..a9dd4b94ea
--- /dev/null
+++ b/tests/benchmark/NEON/DirectConvolutionLayer.cpp
@@ -0,0 +1,103 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
+#include "tests/datasets/DirectConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_F16
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
+#else  /* ARM_COMPUTE_ENABLE_F16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 });
+#endif /* ARM_COMPUTE_ENABLE_F16 */
+} // namespace
+
+using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEDirectConvolutionLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+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)));
+
+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)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 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", { 4, 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", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/Floor.cpp b/tests/benchmark/NEON/Floor.cpp
new file mode 100644
index 0000000000..4bc0c05fdc
--- /dev/null
+++ b/tests/benchmark/NEON/Floor.cpp
@@ -0,0 +1,54 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEFloor.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/FloorFixture.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F32 });
+} // namespace
+
+using NEFloorFixture = FloorFixture<Tensor, NEFloor, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(Floor, NEFloorFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(datasets::SmallShapes(), data_types));
+
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/FullyConnectedLayer.cpp b/tests/benchmark/NEON/FullyConnectedLayer.cpp
new file mode 100644
index 0000000000..88499b1b6f
--- /dev/null
+++ b/tests/benchmark/NEON/FullyConnectedLayer.cpp
@@ -0,0 +1,110 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/FullyConnectedLayerFixture.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h"
+#include "tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h"
+#include "tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEFullyConnectedLayerFixture = FullyConnectedLayerFixture<Tensor, NEFullyConnectedLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+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)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 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", { 4, 8 })));
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/GEMM.cpp b/tests/benchmark/NEON/GEMM.cpp
new file mode 100644
index 0000000000..2c5a726784
--- /dev/null
+++ b/tests/benchmark/NEON/GEMM.cpp
@@ -0,0 +1,62 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEGEMM.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/GEMMFixture.h"
+#include "tests/datasets/MatrixMultiplyGEMMDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1GEMMDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+const auto data_types = framework::dataset::make("DataType",
+{
+#if ARM_COMPUTE_ENABLE_FP16
+    DataType::F16,
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+    DataType::F32,
+    DataType::QS8
+});
+} // namespace
+
+using NEGEMMFixture = GEMMFixture<Tensor, NEGEMM, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1GEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::GoogLeNetInceptionV1GEMMDataset(), data_types));
+REGISTER_FIXTURE_DATA_TEST_CASE(MatrixMultiplyGEMM, NEGEMMFixture, framework::DatasetMode::ALL, framework::dataset::combine(datasets::MatrixMultiplyGEMMDataset(), data_types));
+
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/NormalizationLayer.cpp b/tests/benchmark/NEON/NormalizationLayer.cpp
new file mode 100644
index 0000000000..04887951bd
--- /dev/null
+++ b/tests/benchmark/NEON/NormalizationLayer.cpp
@@ -0,0 +1,76 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/NormalizationLayerFixture.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetNormalizationLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1NormalizationLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+using NENormalizationLayerFixture = NormalizationLayerFixture<Tensor, NENormalizationLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/PoolingLayer.cpp b/tests/benchmark/NEON/PoolingLayer.cpp
new file mode 100644
index 0000000000..05a173b283
--- /dev/null
+++ b/tests/benchmark/NEON/PoolingLayer.cpp
@@ -0,0 +1,104 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/PoolingLayerFixture.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h"
+#include "tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h"
+#include "tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h"
+#include "tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h"
+#include "tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEPoolingLayerFixture = PoolingLayerFixture<Tensor, NEPoolingLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
+
+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)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+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 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/ROIPoolingLayer.cpp b/tests/benchmark/NEON/ROIPoolingLayer.cpp
new file mode 100644
index 0000000000..d3a7e4b3af
--- /dev/null
+++ b/tests/benchmark/NEON/ROIPoolingLayer.cpp
@@ -0,0 +1,53 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/Array.h"
+#include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/NEON/ArrayAccessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/ROIPoolingLayerFixture.h"
+#include "tests/datasets/ROIPoolingLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+using NEROIPoolingLayerFixture = ROIPoolingLayerFixture<Tensor, NEROIPoolingLayer, Accessor, Array<ROI>, ArrayAccessor<ROI>>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayer, NEROIPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(),
+                                                                                        framework::dataset::make("DataType", { DataType::F32 })),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/SYSTEM/AlexNet.cpp b/tests/benchmark/NEON/SYSTEM/AlexNet.cpp
new file mode 100644
index 0000000000..cd48e5db25
--- /dev/null
+++ b/tests/benchmark/NEON/SYSTEM/AlexNet.cpp
@@ -0,0 +1,77 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
+#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h"
+#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
+#include "arm_compute/runtime/SubTensor.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/AlexNetFixture.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto alex_net_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto alex_net_data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEAlexNetFixture = AlexNetFixture<ITensor,
+      Tensor,
+      SubTensor,
+      Accessor,
+      NEActivationLayer,
+      NEConvolutionLayer,
+      NEConvolutionLayer,
+      NEFullyConnectedLayer,
+      NENormalizationLayer,
+      NEPoolingLayer,
+      NESoftmaxLayer>;
+
+TEST_SUITE(NEON)
+TEST_SUITE(SYSTEM_TEST)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNet, NEAlexNetFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(alex_net_data_types,
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark/NEON/SYSTEM/LeNet5.cpp b/tests/benchmark/NEON/SYSTEM/LeNet5.cpp
new file mode 100644
index 0000000000..46ccfc01d5
--- /dev/null
+++ b/tests/benchmark/NEON/SYSTEM/LeNet5.cpp
@@ -0,0 +1,60 @@
+/*
+ * 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.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h"
+#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/LeNet5Fixture.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+using NELeNet5Fixture = LeNet5Fixture<Tensor,
+      Accessor,
+      NEActivationLayer,
+      NEConvolutionLayer,
+      NEFullyConnectedLayer,
+      NEPoolingLayer,
+      NESoftmaxLayer>;
+
+TEST_SUITE(NEON)
+TEST_SUITE(SYSTEM_TEST)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5, NELeNet5Fixture, framework::DatasetMode::ALL,
+                                framework::dataset::make("Batches", { 1, 4, 8 }));
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute