2 files changed, 12 insertions, 10 deletions
diff --git a/tests/validation/NEON/GEMMLowp.cpp b/tests/validation/NEON/GEMMLowp.cpp
index 9b1da61ed7..d25f43a330 100644
--- a/tests/validation/NEON/GEMMLowp.cpp
+++ b/tests/validation/NEON/GEMMLowp.cpp
@@ -360,13 +360,21 @@ TEST_SUITE_END() // DynamicQuantization
 // Deqaunt tests involve returning F32 from the MatrixMultiplyCore kernels and is only implemented in aarch64
 TEST_SUITE(Dequant)
 constexpr AbsoluteTolerance<float> tolerance_dequantized(0.01f);
-FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpDequantizedMatrixMultiplyValidationFixture, framework::DatasetMode::ALL, datasets::SmallGEMMLowpDataset())
+FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpDequantizedMatrixMultiplyValidationFixture, framework::DatasetMode::ALL,
+    combine(
+        datasets::SmallGEMMLowpDataset(),
+        make("accumulate", {true, false})
+    ))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_dequantized);
 }
 
-FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpDequantizedMatrixMultiplyValidationFixture, framework::DatasetMode::NIGHTLY, datasets::LargeGEMMLowpDataset())
+FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpDequantizedMatrixMultiplyValidationFixture, framework::DatasetMode::NIGHTLY,
+    combine(
+        datasets::LargeGEMMLowpDataset(),
+        make("accumulate", {false})
+    ))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_dequantized);
diff --git a/tests/validation/fixtures/GEMMLowpFixture.h b/tests/validation/fixtures/GEMMLowpFixture.h
index 6b7cbba92e..aa4eedb75d 100644
--- a/tests/validation/fixtures/GEMMLowpFixture.h
+++ b/tests/validation/fixtures/GEMMLowpFixture.h
@@ -472,15 +472,9 @@ template <typename TensorType, typename AccessorType, typename FunctionType, boo
 class GEMMLowpDequantizedMatrixMultiplyValidationFixture : public framework::Fixture
 {
 public:
-    void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset)
+    void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset, bool accumulate)
     {
-        // Accumulation is supported for Int8/UInt8 only in aarch64
-        bool accumulate = true;
-        // Accumulation is not supported for Int8/UInt8 in aarch32
-#ifdef __arm__
-        accumulate = false;
-#endif //__arm__
-        bool dynamic_qinfo = false;
+        const bool dynamic_qinfo = false;
         const auto a_qinfo = QuantizationInfo(1.0f / 255, a_offset);
         const auto b_qinfo = QuantizationInfo(5.0f / 255, b_offset);
         TensorFillInfo finfo;