diff --git a/src/armnnDeserializer/test/DeserializeInstanceNormalization.cpp b/src/armnnDeserializer/test/DeserializeInstanceNormalization.cpp
new file mode 100644
index 0000000..4873fd1
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeInstanceNormalization.cpp
@@ -0,0 +1,155 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+
+#include <boost/test/unit_test.hpp>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct InstanceNormalizationFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit InstanceNormalizationFixture(const std::string &inputShape,
+                                          const std::string &outputShape,
+                                          const std::string &gamma,
+                                          const std::string &beta,
+                                          const std::string &epsilon,
+                                          const std::string &dataType,
+                                          const std::string &dataLayout)
+    {
+        m_JsonString = R"(
+    {
+        inputIds: [0],
+        outputIds: [2],
+        layers: [
+           {
+            layer_type: "InputLayer",
+            layer: {
+                base: {
+                    layerBindingId: 0,
+                    base: {
+                        index: 0,
+                        layerName: "InputLayer",
+                        layerType: "Input",
+                        inputSlots: [{
+                            index: 0,
+                            connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                            }],
+                        outputSlots: [{
+                            index: 0,
+                            tensorInfo: {
+                                dimensions: )" + inputShape + R"(,
+                                dataType: ")" + dataType + R"(",
+                                quantizationScale: 0.5,
+                                quantizationOffset: 0
+                                },
+                            }]
+                        },
+                    }
+                },
+            },
+        {
+        layer_type: "InstanceNormalizationLayer",
+        layer : {
+            base: {
+                index:1,
+                layerName: "InstanceNormalizationLayer",
+                layerType: "InstanceNormalization",
+                inputSlots: [{
+                        index: 0,
+                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                   }],
+                outputSlots: [{
+                    index: 0,
+                    tensorInfo: {
+                        dimensions: )" + outputShape + R"(,
+                        dataType: ")" + dataType + R"("
+                    },
+                    }],
+                },
+            descriptor: {
+                dataLayout: ")" + dataLayout + R"(",
+                gamma: ")" + gamma + R"(",
+                beta: ")" + beta + R"(",
+                eps: )" + epsilon + R"(
+                },
+            },
+        },
+        {
+        layer_type: "OutputLayer",
+        layer: {
+            base:{
+                layerBindingId: 0,
+                base: {
+                    index: 2,
+                    layerName: "OutputLayer",
+                    layerType: "Output",
+                    inputSlots: [{
+                        index: 0,
+                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                    }],
+                    outputSlots: [ {
+                        index: 0,
+                        tensorInfo: {
+                            dimensions: )" + outputShape + R"(,
+                            dataType: ")" + dataType + R"("
+                        },
+                    }],
+                }
+            }},
+        }]
+    }
+)";
+        SetupSingleInputSingleOutput("InputLayer", "OutputLayer");
+    }
+};
+
+struct InstanceNormalizationFloat32Fixture : InstanceNormalizationFixture
+{
+    InstanceNormalizationFloat32Fixture():InstanceNormalizationFixture("[ 2, 2, 2, 2 ]",
+                                                                       "[ 2, 2, 2, 2 ]",
+                                                                       "1.0",
+                                                                       "0.0",
+                                                                       "0.0001",
+                                                                       "Float32",
+                                                                       "NHWC") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(InstanceNormalizationFloat32, InstanceNormalizationFloat32Fixture)
+{
+    RunTest<4, armnn::DataType::Float32>(
+        0,
+         {
+             0.f,  1.f,
+             0.f,  2.f,
+
+             0.f,  2.f,
+             0.f,  4.f,
+
+             1.f, -1.f,
+            -1.f,  2.f,
+
+            -1.f, -2.f,
+             1.f,  4.f
+        },
+        {
+             0.0000000f, -1.1470304f,
+             0.0000000f, -0.2294061f,
+
+             0.0000000f, -0.2294061f,
+             0.0000000f,  1.6058424f,
+
+             0.9999501f, -0.7337929f,
+            -0.9999501f,  0.5241377f,
+
+            -0.9999501f, -1.1531031f,
+             0.9999501f,  1.3627582f
+        });
+}
+
+BOOST_AUTO_TEST_SUITE_END()