diff --git a/tests/validation/fixtures/DepthwiseConvolutionFixture.h b/tests/validation/fixtures/DepthwiseConvolutionFixture.h
index f49e76c..b1d31d6 100644
--- a/tests/validation/fixtures/DepthwiseConvolutionFixture.h
+++ b/tests/validation/fixtures/DepthwiseConvolutionFixture.h
@@ -43,14 +43,22 @@
 namespace validation
 {
 template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class DepthwiseConvolutionValidationFixture : public framework::Fixture
+class DepthwiseConvolutionValidationGenericFixture : public framework::Fixture
 {
 public:
+    using TBias = typename std::conditional<std::is_same<typename std::decay<T>::type, uint8_t>::value, int32_t, T>::type;
+
+public:
     template <typename...>
-    void setup(TensorShape in_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape out_shape, PadStrideInfo pad_stride_info)
+    void setup(TensorShape in_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape out_shape, PadStrideInfo pad_stride_info, DataType data_type, QuantizationInfo quantization_info)
     {
-        _target    = compute_target(in_shape, weights_shape, biases_shape, out_shape, pad_stride_info);
-        _reference = compute_reference(in_shape, weights_shape, biases_shape, out_shape, pad_stride_info);
+        _quantization_info = quantization_info;
+        _data_type         = data_type;
+
+        const DataType bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
+
+        _target    = compute_target(in_shape, weights_shape, biases_shape, out_shape, pad_stride_info, data_type, bias_data_type, quantization_info);
+        _reference = compute_reference(in_shape, weights_shape, biases_shape, out_shape, pad_stride_info, data_type, bias_data_type, quantization_info);
     }
 
 protected:
@@ -59,28 +67,46 @@
     {
         switch(tensor.data_type())
         {
+            case DataType::QASYMM8:
+            {
+                std::uniform_int_distribution<uint8_t> distribution(0, 10);
+                library->fill(tensor, distribution, i);
+                break;
+            }
             case DataType::F32:
             {
                 std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
                 library->fill(tensor, distribution, i);
                 break;
             }
+            case DataType::S32:
+            {
+                std::uniform_int_distribution<int32_t> distribution(-1000, 1000);
+                library->fill(tensor, distribution, i);
+                break;
+            }
             default:
                 library->fill_tensor_uniform(tensor, i);
         }
     }
 
-    TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &biases_shape, const TensorShape &output_shape, PadStrideInfo &pad_stride_info)
+    TensorType compute_target(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &biases_shape, const TensorShape &output_shape, PadStrideInfo &pad_stride_info,
+                              const DataType data_type, const DataType bias_data_type, const QuantizationInfo quantization_info)
     {
         // Create tensors
-        TensorType src     = create_tensor<TensorType>(input_shape, DataType::F32);
-        TensorType weights = create_tensor<TensorType>(weights_shape, DataType::F32);
-        TensorType biases  = create_tensor<TensorType>(biases_shape, DataType::F32);
-        TensorType dst     = create_tensor<TensorType>(output_shape, DataType::F32);
+        TensorType src     = create_tensor<TensorType>(input_shape, data_type, 1, 0, quantization_info);
+        TensorType weights = create_tensor<TensorType>(weights_shape, data_type, 1, 0, quantization_info);
+        TensorType biases  = create_tensor<TensorType>(biases_shape, bias_data_type, 1, 0, quantization_info);
+        TensorType dst     = create_tensor<TensorType>(output_shape, data_type, 1, 0, quantization_info);
 
         // Create Depthwise Convolution configure function
-        FunctionType depthwise_convolution;
-        depthwise_convolution.configure(&src, &weights, &biases, &dst, pad_stride_info);
+        FunctionType dwc;
+        dwc.configure(&src, &weights, &biases, &dst, pad_stride_info);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(biases.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
 
         // Allocate tensors
         src.allocator()->allocate();
@@ -99,16 +125,17 @@
         fill(AccessorType(biases), 2);
 
         // Compute function
-        depthwise_convolution.run();
+        dwc.run();
 
         return dst;
     }
 
-    SimpleTensor<T> compute_reference(const TensorShape &in_shape, const TensorShape &weights_shape, const TensorShape &biases_shape, const TensorShape &out_shape, const PadStrideInfo &pad_stride_info)
+    SimpleTensor<T> compute_reference(const TensorShape &in_shape, const TensorShape &weights_shape, const TensorShape &biases_shape, const TensorShape &out_shape, const PadStrideInfo &pad_stride_info,
+                                      const DataType data_type, const DataType bias_data_type, QuantizationInfo quantization_info)
     {
-        SimpleTensor<T> src(in_shape, DataType::F32);
-        SimpleTensor<T> weights(weights_shape, DataType::F32);
-        SimpleTensor<T> biases(biases_shape, DataType::F32);
+        SimpleTensor<T>     src{ in_shape, data_type, 1, 0, quantization_info };
+        SimpleTensor<T>     weights{ weights_shape, data_type, 1, 0, quantization_info };
+        SimpleTensor<TBias> biases{ biases_shape, data_type, 1, 0, quantization_info };
 
         fill(src, 0);
         fill(weights, 1);
@@ -117,8 +144,34 @@
         return reference::depthwise_convolution(src, weights, biases, out_shape, pad_stride_info);
     }
 
-    TensorType      _target{};
-    SimpleTensor<T> _reference{};
+    TensorType       _target{};
+    SimpleTensor<T>  _reference{};
+    DataType         _data_type{};
+    QuantizationInfo _quantization_info{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DepthwiseConvolutionValidationFixture : public DepthwiseConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape in_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape out_shape, PadStrideInfo pad_stride_info, DataType data_type)
+    {
+        DepthwiseConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(in_shape, weights_shape, biases_shape, out_shape, pad_stride_info,
+                                                                                                       data_type, QuantizationInfo());
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DepthwiseConvolutionValidationQuantizedFixture : public DepthwiseConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape in_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape out_shape, PadStrideInfo pad_stride_info, DataType data_type, QuantizationInfo quantization_info)
+    {
+        DepthwiseConvolutionValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(in_shape, weights_shape, biases_shape, out_shape, pad_stride_info,
+                                                                                                       data_type, quantization_info);
+    }
 };
 } // namespace validation
 } // namespace test