diff --git a/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp b/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp
index 2d3567b..6c74aaa 100644
--- a/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp
+++ b/tests/NetworkExecutionUtils/NetworkExecutionUtils.cpp
@@ -1,12 +1,110 @@
 //
-// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
 #include "NetworkExecutionUtils.hpp"
 
 #include <armnnUtils/Filesystem.hpp>
-#include <iterator>
+#include <InferenceTest.hpp>
+#include <ResolveType.hpp>
+
+#if defined(ARMNN_SERIALIZER)
+#include "armnnDeserializer/IDeserializer.hpp"
+#endif
+#if defined(ARMNN_TF_LITE_PARSER)
+#include "armnnTfLiteParser/ITfLiteParser.hpp"
+#endif
+#if defined(ARMNN_ONNX_PARSER)
+#include "armnnOnnxParser/IOnnxParser.hpp"
+#endif
+
+template<armnn::DataType NonQuantizedType>
+auto ParseDataArray(std::istream& stream);
+
+template<armnn::DataType QuantizedType>
+auto ParseDataArray(std::istream& stream,
+                    const float& quantizationScale,
+                    const int32_t& quantizationOffset);
+
+template<>
+auto ParseDataArray<armnn::DataType::Float32>(std::istream& stream)
+{
+    return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::Signed32>(std::istream& stream)
+{
+    return ParseArrayImpl<int>(stream, [](const std::string& s) { return std::stoi(s); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::QAsymmS8>(std::istream& stream)
+{
+    return ParseArrayImpl<int8_t>(stream,
+                                  [](const std::string& s) { return armnn::numeric_cast<int8_t>(std::stoi(s)); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream)
+{
+    return ParseArrayImpl<uint8_t>(stream,
+                                   [](const std::string& s) { return armnn::numeric_cast<uint8_t>(std::stoi(s)); });
+}
+
+
+template<>
+auto ParseDataArray<armnn::DataType::QSymmS8>(std::istream& stream)
+{
+    return ParseArrayImpl<int8_t>(stream,
+                                   [](const std::string& s) { return armnn::numeric_cast<int8_t>(std::stoi(s)); });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::QAsymmS8>(std::istream& stream,
+                                               const float& quantizationScale,
+                                               const int32_t& quantizationOffset)
+{
+    return ParseArrayImpl<int8_t>(stream,
+                                  [&quantizationScale, &quantizationOffset](const std::string& s)
+                                  {
+                                      return armnn::numeric_cast<int8_t>(
+                                              armnn::Quantize<int8_t>(std::stof(s),
+                                                                      quantizationScale,
+                                                                      quantizationOffset));
+                                  });
+}
+
+template<>
+auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream,
+                                               const float& quantizationScale,
+                                               const int32_t& quantizationOffset)
+{
+    return ParseArrayImpl<uint8_t>(stream,
+                                   [&quantizationScale, &quantizationOffset](const std::string& s)
+                                   {
+                                       return armnn::numeric_cast<uint8_t>(
+                                               armnn::Quantize<uint8_t>(std::stof(s),
+                                                                        quantizationScale,
+                                                                        quantizationOffset));
+                                   });
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+std::vector<T> GenerateDummyTensorData(unsigned int numElements)
+{
+    return std::vector<T>(numElements, static_cast<T>(0));
+}
+
+
+std::vector<unsigned int> ParseArray(std::istream& stream)
+{
+    return ParseArrayImpl<unsigned int>(
+            stream,
+            [](const std::string& s) { return armnn::numeric_cast<unsigned int>(std::stoi(s)); });
+}
+
 std::vector<std::string> ParseStringList(const std::string& inputString, const char* delimiter)
 {
     std::stringstream stream(inputString);
@@ -14,27 +112,189 @@
         return armnn::stringUtils::StringTrimCopy(s); }, delimiter);
 }
 
-bool CheckInferenceTimeThreshold(const std::chrono::duration<double, std::milli>& duration,
-                                 const double& thresholdTime)
+
+TensorPrinter::TensorPrinter(const std::string& binding,
+                             const armnn::TensorInfo& info,
+                             const std::string& outputTensorFile,
+                             bool dequantizeOutput,
+                             const bool printToConsole)
+                             : m_OutputBinding(binding)
+                             , m_Scale(info.GetQuantizationScale())
+                             , m_Offset(info.GetQuantizationOffset())
+                             , m_OutputTensorFile(outputTensorFile)
+                             , m_DequantizeOutput(dequantizeOutput)
+                             , m_PrintToConsole(printToConsole) {}
+
+void TensorPrinter::operator()(const std::vector<float>& values)
 {
-    ARMNN_LOG(info) << "\nInference time: " << std::setprecision(2)
-                    << std::fixed << duration.count() << " ms\n";
-    // If thresholdTime == 0.0 (default), then it hasn't been supplied at command line
-    if (thresholdTime != 0.0)
+    if (m_PrintToConsole)
     {
-        ARMNN_LOG(info) << "Threshold time: " << std::setprecision(2)
-                        << std::fixed << thresholdTime << " ms";
-        auto thresholdMinusInference = thresholdTime - duration.count();
-        ARMNN_LOG(info) << "Threshold time - Inference time: " << std::setprecision(2)
-                        << std::fixed << thresholdMinusInference << " ms" << "\n";
-        if (thresholdMinusInference < 0)
+        std::cout << m_OutputBinding << ": ";
+        ForEachValue(values, [](float value)
         {
-            std::string errorMessage = "Elapsed inference time is greater than provided threshold time.";
-            ARMNN_LOG(fatal) << errorMessage;
-            return false;
+            printf("%f ", value);
+        });
+        printf("\n");
+    }
+    WriteToFile(values);
+}
+
+void TensorPrinter::operator()(const std::vector<uint8_t>& values)
+{
+    if(m_DequantizeOutput)
+    {
+        auto& scale = m_Scale;
+        auto& offset = m_Offset;
+        std::vector<float> dequantizedValues;
+        ForEachValue(values, [&scale, &offset, &dequantizedValues](uint8_t value)
+        {
+            auto dequantizedValue = armnn::Dequantize(value, scale, offset);
+            dequantizedValues.push_back(dequantizedValue);
+        });
+
+        if (m_PrintToConsole)
+        {
+            std::cout << m_OutputBinding << ": ";
+            ForEachValue(dequantizedValues, [](float value)
+            {
+                printf("%f ", value);
+            });
+            printf("\n");
+        }
+
+        WriteToFile(dequantizedValues);
+    }
+    else
+    {
+        const std::vector<int> intValues(values.begin(), values.end());
+        operator()(intValues);
+    }
+}
+
+void TensorPrinter::operator()(const std::vector<int8_t>& values)
+{
+    if (m_PrintToConsole)
+    {
+        std::cout << m_OutputBinding << ": ";
+        ForEachValue(values, [](int8_t value)
+        {
+            printf("%d ", value);
+        });
+        printf("\n");
+    }
+    WriteToFile(values);
+}
+
+void TensorPrinter::operator()(const std::vector<int>& values)
+{
+    if (m_PrintToConsole)
+    {
+        std::cout << m_OutputBinding << ": ";
+        ForEachValue(values, [](int value)
+        {
+            printf("%d ", value);
+        });
+        printf("\n");
+    }
+    WriteToFile(values);
+}
+
+template<typename Container, typename Delegate>
+void TensorPrinter::ForEachValue(const Container& c, Delegate delegate)
+{
+    for (const auto& value : c)
+    {
+        delegate(value);
+    }
+}
+
+template<typename T>
+void TensorPrinter::WriteToFile(const std::vector<T>& values)
+{
+    if (!m_OutputTensorFile.empty())
+    {
+        std::ofstream outputTensorFile;
+        outputTensorFile.open(m_OutputTensorFile, std::ofstream::out | std::ofstream::trunc);
+        if (outputTensorFile.is_open())
+        {
+            outputTensorFile << m_OutputBinding << ": ";
+            std::copy(values.begin(), values.end(), std::ostream_iterator<T>(outputTensorFile, " "));
+        }
+        else
+        {
+            ARMNN_LOG(info) << "Output Tensor File: " << m_OutputTensorFile << " could not be opened!";
+        }
+        outputTensorFile.close();
+    }
+}
+
+void PopulateTensorWithData(armnnUtils::TContainer& tensorData,
+                            unsigned int numElements,
+                            const std::string& dataTypeStr,
+                            const armnn::Optional<QuantizationParams>& qParams,
+                            const armnn::Optional<std::string>& dataFile)
+{
+    const bool readFromFile = dataFile.has_value() && !dataFile.value().empty();
+    const bool quantizeData = qParams.has_value();
+
+    std::ifstream inputTensorFile;
+    if (readFromFile)
+    {
+        inputTensorFile = std::ifstream(dataFile.value());
+    }
+
+    if (dataTypeStr.compare("float") == 0)
+    {
+        if (quantizeData)
+        {
+            const float qScale  = qParams.value().first;
+            const int   qOffset = qParams.value().second;
+
+            tensorData = readFromFile ?
+                         ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile, qScale, qOffset) :
+                         GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements);
+        }
+        else
+        {
+            tensorData = readFromFile ?
+                         ParseDataArray<armnn::DataType::Float32>(inputTensorFile) :
+                         GenerateDummyTensorData<armnn::DataType::Float32>(numElements);
         }
     }
-    return true;
+    else if (dataTypeStr.compare("int") == 0)
+    {
+        tensorData = readFromFile ?
+                     ParseDataArray<armnn::DataType::Signed32>(inputTensorFile) :
+                     GenerateDummyTensorData<armnn::DataType::Signed32>(numElements);
+    }
+    else if (dataTypeStr.compare("qsymms8") == 0)
+    {
+        tensorData = readFromFile ?
+                     ParseDataArray<armnn::DataType::QSymmS8>(inputTensorFile) :
+                     GenerateDummyTensorData<armnn::DataType::QSymmS8>(numElements);
+    }
+    else if (dataTypeStr.compare("qasymm8") == 0 || dataTypeStr.compare("qasymmu8") == 0)
+    {
+        tensorData = readFromFile ?
+                     ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile) :
+                     GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements);
+    }
+    else if (dataTypeStr.compare("qasymms8") == 0)
+    {
+        tensorData = readFromFile ?
+                     ParseDataArray<armnn::DataType::QAsymmS8>(inputTensorFile) :
+                     GenerateDummyTensorData<armnn::DataType::QAsymmS8>(numElements);
+    }
+    else
+    {
+        std::string errorMessage = "Unsupported tensor data type " + dataTypeStr;
+        ARMNN_LOG(fatal) << errorMessage;
+
+        inputTensorFile.close();
+        throw armnn::Exception(errorMessage);
+    }
+
+    inputTensorFile.close();
 }
 
 bool ValidatePath(const std::string& file, const bool expectFile)
@@ -52,13 +312,6 @@
     return true;
 }
 
-std::vector<unsigned int> ParseArray(std::istream& stream)
-{
-    return ParseArrayImpl<unsigned int>(
-            stream,
-            [](const std::string& s) { return armnn::numeric_cast<unsigned int>(std::stoi(s)); });
-}
-
 bool ValidatePaths(const std::vector<std::string>& fileVec, const bool expectFile)
 {
     bool allPathsValid = true;
@@ -72,9 +325,5 @@
     return allPathsValid;
 }
 
-void LogAndThrow(std::string eMsg)
-{
-    ARMNN_LOG(error) << eMsg;
-    throw armnn::Exception(eMsg);
-}
+