diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp
index 25e881f..2986369 100644
--- a/tests/validation/CL/DirectConvolutionLayer.cpp
+++ b/tests/validation/CL/DirectConvolutionLayer.cpp
@@ -47,21 +47,11 @@
 RelativeTolerance<float> tolerance_fp32(0.02f);     /**< Tolerance for floating point tests */
 constexpr float          tolerance_num = 0.07f;     /**< Tolerance number */
 
-constexpr AbsoluteTolerance<int8_t>  tolerance_qs8(0);  /**< Tolerance for fixed point tests */
-constexpr AbsoluteTolerance<int16_t> tolerance_qs16(0); /**< Tolerance for fixed point tests */
+constexpr AbsoluteTolerance<int8_t>  tolerance_qs8(0);     /**< Tolerance for fixed point tests */
+constexpr AbsoluteTolerance<int16_t> tolerance_qs16(0);    /**< Tolerance for fixed point tests */
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */
 
 /** Direct convolution data set. */
-const auto data_quantized = combine(datasets::SmallDirectConvolutionShapes(),
-                                    combine(framework::dataset::make("StrideX", 1, 3),
-                                            combine(framework::dataset::make("StrideY", 1, 3),
-                                                    combine(concat(combine(framework::dataset::make("PadX", 0),
-                                                                           combine(framework::dataset::make("PadY", 0),
-                                                                                   framework::dataset::make("KernelSize", 1))),
-                                                                   combine(framework::dataset::make("PadX", 0, 2),
-                                                                           combine(framework::dataset::make("PadY", 0, 2),
-                                                                                   framework::dataset::make("KernelSize", { 3 })))),
-                                                            framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
-
 const auto data = combine(datasets::SmallDirectConvolutionShapes(),
                           combine(framework::dataset::make("StrideX", 1, 3),
                                   combine(framework::dataset::make("StrideY", 1, 3),
@@ -72,6 +62,16 @@
                                                                  combine(framework::dataset::make("PadY", 0, 2),
                                                                          framework::dataset::make("KernelSize", { 3, 5 })))),
                                                   framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
+const auto data_fixed_point = combine(datasets::SmallDirectConvolutionShapes(),
+                                      combine(framework::dataset::make("StrideX", 1, 3),
+                                              combine(framework::dataset::make("StrideY", 1, 3),
+                                                      combine(concat(combine(framework::dataset::make("PadX", 0),
+                                                                             combine(framework::dataset::make("PadY", 0),
+                                                                                     framework::dataset::make("KernelSize", 1))),
+                                                                     combine(framework::dataset::make("PadX", 0, 2),
+                                                                             combine(framework::dataset::make("PadY", 0, 2),
+                                                                                     framework::dataset::make("KernelSize", { 3 })))),
+                                                              framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
 } // namespace
 
 TEST_SUITE(CL)
@@ -103,9 +103,9 @@
 template <typename T>
 using CLDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>;
 
-TEST_SUITE(Quantized)
+TEST_SUITE(FixedPoint)
 TEST_SUITE(QS8)
-FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS8)),
+FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_fixed_point, framework::dataset::make("DataType", DataType::QS8)),
                                                                                                                     framework::dataset::make("FractionalBits", 2, 7)))
 {
     // Validate output
@@ -114,7 +114,7 @@
 TEST_SUITE_END()
 
 TEST_SUITE(QS16)
-FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_quantized, framework::dataset::make("DataType", DataType::QS16)),
+FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_fixed_point, framework::dataset::make("DataType", DataType::QS16)),
                                                                                                                      framework::dataset::make("FractionalBits", 2, 15)))
 {
     // Validate output
@@ -123,6 +123,20 @@
 TEST_SUITE_END()
 TEST_SUITE_END()
 
+template <typename T>
+using CLDirectConvolutionLayerQuantizedFixture = DirectConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDirectConvolutionLayer, T>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(Run, CLDirectConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(data, framework::dataset::make("DataType", DataType::QASYMM8)),
+                                                                                                                    framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255, 127) })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
 TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace validation