diff --git a/src/backends/backendsCommon/test/layerTests/GatherNdTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/GatherNdTestImpl.cpp
new file mode 100644
index 0000000..57a30c6
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/GatherNdTestImpl.cpp
@@ -0,0 +1,300 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "GatherNdTestImpl.hpp"
+
+#include <DataTypeUtils.hpp>
+#include <armnnTestUtils/TensorCopyUtils.hpp>
+#include <armnnTestUtils/WorkloadTestUtils.hpp>
+
+namespace
+{
+
+template<armnn::DataType ArmnnType,
+        typename T = armnn::ResolveType<ArmnnType>,
+        size_t ParamsDim,
+        size_t IndicesDim,
+        size_t OutputDim>
+LayerTestResult<T, OutputDim> GatherNdTestImpl(
+        armnn::IWorkloadFactory &workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager,
+        const armnn::ITensorHandleFactory &tensorHandleFactory,
+        const armnn::TensorInfo &paramsInfo,
+        const armnn::TensorInfo &indicesInfo,
+        const armnn::TensorInfo &outputInfo,
+        const std::vector<T> &paramsData,
+        const std::vector<int32_t> &indicesData,
+        const std::vector<T> &outputData)
+{
+    IgnoreUnused(memoryManager);
+
+    std::vector<T> actualOutput(outputInfo.GetNumElements());
+
+    std::unique_ptr<armnn::ITensorHandle> paramsHandle = tensorHandleFactory.CreateTensorHandle(paramsInfo);
+    std::unique_ptr<armnn::ITensorHandle> indicesHandle = tensorHandleFactory.CreateTensorHandle(indicesInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
+
+    armnn::GatherNdQueueDescriptor data;
+    armnn::WorkloadInfo info;
+    AddInputToWorkload(data, info, paramsInfo, paramsHandle.get());
+    AddInputToWorkload(data, info, indicesInfo, indicesHandle.get());
+    AddOutputToWorkload(data, info, outputInfo, outputHandle.get());
+
+    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::GatherNd,
+                                                                                data,
+                                                                                info);
+
+    paramsHandle->Allocate();
+    indicesHandle->Allocate();
+    outputHandle->Allocate();
+
+    CopyDataToITensorHandle(paramsHandle.get(), paramsData.data());
+    CopyDataToITensorHandle(indicesHandle.get(), indicesData.data());
+
+    workload->Execute();
+
+    CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
+
+    return LayerTestResult<T, OutputDim>(actualOutput,
+                                         outputData,
+                                         outputHandle->GetShape(),
+                                         outputInfo.GetShape());
+}
+} // anonymous namespace
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> SimpleGatherNd2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType);
+    armnn::TensorInfo indicesInfo({ 3, 1 }, armnn::DataType::Signed32);
+    armnn::TensorInfo outputInfo({ 3, 2 }, ArmnnType);
+    if (armnn::IsQuantizedType<T>())
+    {
+        paramsInfo.SetQuantizationScale(1.0f);
+        paramsInfo.SetQuantizationOffset(1);
+        outputInfo.SetQuantizationScale(1.0f);
+        outputInfo.SetQuantizationOffset(1);
+    }
+    const std::vector<T> params = ConvertToDataType<ArmnnType>(
+            { 1, 2,
+              3, 4,
+              5, 6,
+              7, 8,
+              9, 10},
+            paramsInfo);
+    const std::vector<int32_t> indices  = ConvertToDataType<armnn::DataType::Signed32>(
+            { 1, 0, 4},
+            indicesInfo);
+    const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
+            { 3, 4,
+              1, 2,
+              9, 10},
+            outputInfo);
+    return GatherNdTestImpl<ArmnnType, T, 2, 2, 2>(
+            workloadFactory,
+            memoryManager,
+            tensorHandleFactory,
+            paramsInfo,
+            indicesInfo,
+            outputInfo,
+            params,
+            indices,
+            expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> SimpleGatherNd3dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    armnn::TensorInfo paramsInfo({ 2, 3, 8, 4 }, ArmnnType);
+    armnn::TensorInfo indicesInfo({ 2, 2 }, armnn::DataType::Signed32);
+    armnn::TensorInfo outputInfo({ 2, 8, 4 }, ArmnnType);
+
+    if (armnn::IsQuantizedType<T>())
+    {
+        paramsInfo.SetQuantizationScale(1.0f);
+        paramsInfo.SetQuantizationOffset(0);
+        outputInfo.SetQuantizationScale(1.0f);
+        outputInfo.SetQuantizationOffset(0);
+    }
+    const std::vector<T> params = ConvertToDataType<ArmnnType>(
+            { 0,   1,   2,   3, 4,   5,   6,   7, 8,   9,  10,  11, 12,  13,  14,  15,
+             16,  17,  18,  19, 20,  21,  22,  23, 24,  25,  26,  27, 28,  29,  30,  31,
+
+             32,  33,  34,  35, 36,  37,  38,  39, 40,  41,  42,  43, 44,  45,  46,  47,
+             48,  49,  50,  51, 52,  53,  54,  55, 56,  57,  58,  59, 60,  61,  62,  63,
+
+             64,  65,  66,  67, 68,  69,  70,  71, 72,  73,  74,  75, 76,  77,  78,  79,
+             80,  81,  82,  83, 84,  85,  86,  87, 88,  89,  90,  91, 92,  93,  94,  95,
+
+             96,  97,  98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,
+            112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127,
+
+            128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
+            144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,
+
+            160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
+            176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191 },
+            paramsInfo);
+
+    const std::vector<int32_t> indices  = ConvertToDataType<armnn::DataType::Signed32>(
+            { 1, 2, 1, 1},
+            indicesInfo);
+
+    const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
+            { 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
+            176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,
+
+            128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
+            144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159},
+            outputInfo);
+
+    return GatherNdTestImpl<ArmnnType, T, 4, 2, 3>(
+            workloadFactory,
+            memoryManager,
+            tensorHandleFactory,
+            paramsInfo,
+            indicesInfo,
+            outputInfo,
+            params,
+            indices,
+            expectedOutput);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> SimpleGatherNd4dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    armnn::TensorInfo paramsInfo({ 5, 5, 2 }, ArmnnType);
+    armnn::TensorInfo indicesInfo({ 2, 2, 3, 2 }, armnn::DataType::Signed32);
+    armnn::TensorInfo outputInfo({ 2, 2, 3, 2 }, ArmnnType);
+
+    if (armnn::IsQuantizedType<T>())
+    {
+        paramsInfo.SetQuantizationScale(1.0f);
+        paramsInfo.SetQuantizationOffset(0);
+        outputInfo.SetQuantizationScale(1.0f);
+        outputInfo.SetQuantizationOffset(0);
+    }
+    const std::vector<T> params = ConvertToDataType<ArmnnType>(
+        { 0,  1,    2,  3,    4,  5,    6,  7,    8,  9,
+         10, 11,   12,  13,   14, 15,   16, 17,   18, 19,
+         20, 21,   22,  23,   24, 25,   26, 27,   28, 29,
+         30, 31,   32,  33,   34, 35,   36, 37,   38, 39,
+         40, 41,   42,  43,   44, 45,   46, 47,   48, 49 },
+        paramsInfo);
+
+    const std::vector<int32_t> indices  = ConvertToDataType<armnn::DataType::Signed32>(
+        { 0, 0,
+          3, 3,
+          4, 4,
+
+          0, 0,
+          1, 1,
+          2, 2,
+
+          4, 4,
+          3, 3,
+          0, 0,
+
+          2, 2,
+          1, 1,
+          0, 0 },
+        indicesInfo);
+
+    const std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>(
+        {  0,  1,
+          36, 37,
+          48, 49,
+
+           0,  1,
+          12, 13,
+          24, 25,
+
+          48, 49,
+          36, 37,
+           0,  1,
+
+          24, 25,
+          12, 13,
+           0,  1 },
+        outputInfo);
+
+    return GatherNdTestImpl<ArmnnType, T, 3, 4, 4>(
+            workloadFactory,
+            memoryManager,
+            tensorHandleFactory,
+            paramsInfo,
+            indicesInfo,
+            outputInfo,
+            params,
+            indices,
+            expectedOutput);
+}
+
+//
+// Explicit template specializations
+//
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+SimpleGatherNd2dTest<armnn::DataType::Float32>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+SimpleGatherNd3dTest<armnn::DataType::Float32>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+SimpleGatherNd4dTest<armnn::DataType::Float32>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
+SimpleGatherNd2dTest<armnn::DataType::QAsymmS8>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+SimpleGatherNd3dTest<armnn::DataType::QAsymmS8>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
+SimpleGatherNd4dTest<armnn::DataType::QAsymmS8>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 2>
+SimpleGatherNd2dTest<armnn::DataType::Signed32>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 3>
+SimpleGatherNd3dTest<armnn::DataType::Signed32>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 4>
+SimpleGatherNd4dTest<armnn::DataType::Signed32>(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file