diff --git a/utils/GraphUtils.cpp b/utils/GraphUtils.cpp
index ab2c753..6be289a 100644
--- a/utils/GraphUtils.cpp
+++ b/utils/GraphUtils.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -77,8 +77,8 @@
     });
 }
 
-CaffePreproccessor::CaffePreproccessor(std::array<float, 3> mean, float scale, bool bgr)
-    : _mean(mean), _scale(scale), _bgr(bgr)
+CaffePreproccessor::CaffePreproccessor(std::array<float, 3> mean, bool bgr, float scale)
+    : _mean(mean), _bgr(bgr), _scale(scale)
 {
     if(_bgr)
     {
@@ -153,24 +153,29 @@
 }
 
 template <typename T>
-void NumPyAccessor::access_numpy_tensor(ITensor &tensor)
+void NumPyAccessor::access_numpy_tensor(ITensor &tensor, T tolerance)
 {
     const int num_elements          = tensor.info()->tensor_shape().total_size();
-    int       num_mismatches        = utils::compare_tensor<T>(tensor, _npy_tensor);
+    int       num_mismatches        = utils::compare_tensor<T>(tensor, _npy_tensor, tolerance);
     float     percentage_mismatches = static_cast<float>(num_mismatches) / num_elements;
 
     _output_stream << "Results: " << 100.f - (percentage_mismatches * 100) << " % matches with the provided output[" << _filename << "]." << std::endl;
+    _output_stream << "         " << num_elements - num_mismatches << " out of " << num_elements << " matches with the provided output[" << _filename << "]." << std::endl
+                   << std::endl;
 }
 
 bool NumPyAccessor::access_tensor(ITensor &tensor)
 {
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&tensor, 1, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&tensor, 1, DataType::F32, DataType::QASYMM8);
     ARM_COMPUTE_ERROR_ON(_npy_tensor.info()->dimension(0) != tensor.info()->dimension(0));
 
     switch(tensor.info()->data_type())
     {
+        case DataType::QASYMM8:
+            access_numpy_tensor<qasymm8_t>(tensor, 0);
+            break;
         case DataType::F32:
-            access_numpy_tensor<float>(tensor);
+            access_numpy_tensor<float>(tensor, 0.0001f);
             break;
         default:
             ARM_COMPUTE_ERROR("NOT SUPPORTED!");
@@ -604,6 +609,7 @@
 {
     switch(tensor.info()->data_type())
     {
+        case DataType::QASYMM8:
         case DataType::U8:
         {
             std::uniform_int_distribution<uint8_t> distribution_u8(_lower.get<uint8_t>(), _upper.get<uint8_t>());
@@ -654,7 +660,7 @@
         }
         case DataType::F16:
         {
-            std::uniform_real_distribution<float> distribution_f16(_lower.get<float>(), _upper.get<float>());
+            std::uniform_real_distribution<float> distribution_f16(_lower.get<half>(), _upper.get<half>());
             fill<half>(tensor, distribution_f16);
             break;
         }