diff --git a/delegate/src/test/Pooling2dTest.cpp b/delegate/src/test/Pooling2dTest.cpp
index bc7bf38..fd52aee 100644
--- a/delegate/src/test/Pooling2dTest.cpp
+++ b/delegate/src/test/Pooling2dTest.cpp
@@ -864,18 +864,6 @@
     MaxPool2dUint8ReluTest(backends);
 }
 
-TEST_CASE ("MaxPooling2d_Int16_PaddingSame_GpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
-    MaxPool2dInt16PaddingSameTest(backends);
-}
-
-TEST_CASE ("MaxPooling2d_Int16_Relu_GpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
-    MaxPool2dInt16ReluTest(backends);
-}
-
 TEST_CASE ("AveragePooling2d_FP32_PaddingValid_GpuAcc_Test")
 {
     std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
@@ -936,18 +924,6 @@
     AveragePool2dUint8ReluTest(backends);
 }
 
-TEST_CASE ("AveragePooling2d_Int16_PaddingSame_GpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
-    AveragePool2dInt16PaddingSameTest(backends);
-}
-
-TEST_CASE ("AveragePooling2d_Int16_Relu_GpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
-    AveragePool2dInt16ReluTest(backends);
-}
-
 TEST_CASE ("L2Pooling2d_FP32_PaddingValid_GpuAcc_Test")
 {
     std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
@@ -1037,18 +1013,6 @@
     MaxPool2dUint8ReluTest(backends);
 }
 
-TEST_CASE ("MaxPooling2d_Int16_PaddingSame_CpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
-    MaxPool2dInt16PaddingSameTest(backends);
-}
-
-TEST_CASE ("MaxPooling2d_Int16_Relu_CpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
-    MaxPool2dInt16ReluTest(backends);
-}
-
 TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuAcc_Test")
 {
     std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
@@ -1109,18 +1073,6 @@
     AveragePool2dUint8ReluTest(backends);
 }
 
-TEST_CASE ("AveragePooling2d_Int16_PaddingSame_CpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
-    AveragePool2dInt16PaddingSameTest(backends);
-}
-
-TEST_CASE ("AveragePooling2d_Int16_Relu_CpuAcc_Test")
-{
-    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
-    AveragePool2dInt16ReluTest(backends);
-}
-
 TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuAcc_Test")
 {
     std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
diff --git a/delegate/src/test/Pooling2dTestHelper.hpp b/delegate/src/test/Pooling2dTestHelper.hpp
index f107d94..c2c7be7 100644
--- a/delegate/src/test/Pooling2dTestHelper.hpp
+++ b/delegate/src/test/Pooling2dTestHelper.hpp
@@ -5,6 +5,8 @@
 
 #pragma once
 
+#include "TestUtils.hpp"
+
 #include <armnn_delegate.hpp>
 
 #include <flatbuffers/flatbuffers.h>
@@ -183,26 +185,8 @@
     // Run EnqueueWorkload
     CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk);
     CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk);
-    // Compare output data
-    auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0];
-    auto tfLiteDelegateOutputData = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateOutputId);
-    auto tfLiteDelegateOutputTensor = tfLiteInterpreter->tensor(tfLiteDelegateOutputId);
-    auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0];
-    auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<T>(armnnDelegateOutputId);
-    auto armnnDelegateOutputTensor = armnnDelegateInterpreter->tensor(armnnDelegateOutputId);
 
-    for (size_t i = 0; i < static_cast<size_t>(tfLiteDelegateOutputTensor->dims->size); i++)
-    {
-        CHECK(outputShape[i] == armnnDelegateOutputTensor->dims->data[i]);
-        CHECK(tfLiteDelegateOutputTensor->dims->data[i] == armnnDelegateOutputTensor->dims->data[i]);
-    }
-
-    for (size_t i = 0; i < expectedOutputValues.size(); i++)
-    {
-        CHECK(expectedOutputValues[i] == armnnDelegateOutputData[i]);
-        CHECK(tfLiteDelegateOutputData[i] == expectedOutputValues[i]);
-        CHECK(tfLiteDelegateOutputData[i] == armnnDelegateOutputData[i]);
-    }
+    armnnDelegate::CompareOutputData(tfLiteInterpreter, armnnDelegateInterpreter, outputShape, expectedOutputValues);
 }
 
 } // anonymous namespace
diff --git a/delegate/src/test/TestUtils.cpp b/delegate/src/test/TestUtils.cpp
new file mode 100644
index 0000000..cf3e1fe
--- /dev/null
+++ b/delegate/src/test/TestUtils.cpp
@@ -0,0 +1,46 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "TestUtils.hpp"
+
+namespace armnnDelegate
+{
+
+void CompareData(float tensor1[], float tensor2[], size_t tensorSize)
+{
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(tensor1[i] == doctest::Approx( tensor2[i] ));
+    }
+}
+
+void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize)
+{
+    uint8_t tolerance = 1;
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
+    }
+}
+
+void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize)
+{
+    int16_t tolerance = 1;
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
+    }
+}
+
+void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize)
+{
+    int8_t tolerance = 1;
+    for (size_t i = 0; i < tensorSize; i++)
+    {
+        CHECK(std::max(tensor1[i], tensor2[i]) - std::min(tensor1[i], tensor2[i]) <= tolerance);
+    }
+}
+
+} // namespace armnnDelegate
\ No newline at end of file
diff --git a/delegate/src/test/TestUtils.hpp b/delegate/src/test/TestUtils.hpp
index 9bbab8f..d805f70 100644
--- a/delegate/src/test/TestUtils.hpp
+++ b/delegate/src/test/TestUtils.hpp
@@ -25,6 +25,13 @@
     }
 }
 
+// Can be used to compare data with a tolerance depending on their data type
+void CompareData(float tensor1[], float tensor2[], size_t tensorSize);
+void CompareData(int8_t tensor1[], int8_t tensor2[], size_t tensorSize);
+void CompareData(uint8_t tensor1[], uint8_t tensor2[], size_t tensorSize);
+void CompareData(int16_t tensor1[], int16_t tensor2[], size_t tensorSize);
+
+
 // Can be used to compare the output tensor shape and values
 // from armnnDelegateInterpreter and tfLiteInterpreter.
 // Example usage can be found in ControlTestHelper.hpp
@@ -36,7 +43,7 @@
 {
     auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0];
     auto tfLiteDelegateOutputTensor = tfLiteInterpreter->tensor(tfLiteDelegateOutputId);
-    auto tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateOutputId);
+    auto tfLiteDelegateOutputData = tfLiteInterpreter->typed_tensor<T>(tfLiteDelegateOutputId);
     auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0];
     auto armnnDelegateOutputTensor = armnnDelegateInterpreter->tensor(armnnDelegateOutputId);
     auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<T>(armnnDelegateOutputId);
@@ -48,12 +55,9 @@
         CHECK(tfLiteDelegateOutputTensor->dims->data[i] == armnnDelegateOutputTensor->dims->data[i]);
     }
 
-    for (size_t i = 0; i < expectedOutputValues.size(); i++)
-    {
-        CHECK(expectedOutputValues[i] == armnnDelegateOutputData[i]);
-        CHECK(tfLiteDelageOutputData[i] == expectedOutputValues[i]);
-        CHECK(tfLiteDelageOutputData[i] == armnnDelegateOutputData[i]);
-    }
+    armnnDelegate::CompareData(expectedOutputValues.data(), armnnDelegateOutputData    , expectedOutputValues.size());
+    armnnDelegate::CompareData(tfLiteDelegateOutputData   , expectedOutputValues.data(), expectedOutputValues.size());
+    armnnDelegate::CompareData(tfLiteDelegateOutputData   , armnnDelegateOutputData    , expectedOutputValues.size());
 }
 
 } // namespace armnnDelegate