diff --git a/src/armnnDeserializer/test/DeserializeGreater.cpp b/src/armnnDeserializer/test/DeserializeGreater.cpp
new file mode 100644
index 0000000..d1ff250
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeGreater.cpp
@@ -0,0 +1,182 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include "../Deserializer.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(Deserializer)
+
+struct GreaterFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit GreaterFixture(const std::string & inputShape1,
+                            const std::string & inputShape2,
+                            const std::string & outputShape,
+                            const std::string & inputDataType,
+                            const std::string & outputDataType)
+    {
+        m_JsonString = R"(
+        {
+                inputIds: [0, 1],
+                outputIds: [3],
+                layers: [
+                {
+                    layer_type: "InputLayer",
+                    layer: {
+                          base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer1",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [ {
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + inputShape1 + R"(,
+                                            dataType: )" + inputDataType + R"(
+                                        },
+                                    }],
+                                 },}},
+                },
+                {
+                layer_type: "InputLayer",
+                layer: {
+                       base: {
+                            layerBindingId: 1,
+                            base: {
+                                  index:1,
+                                  layerName: "InputLayer2",
+                                  layerType: "Input",
+                                  inputSlots: [{
+                                      index: 0,
+                                      connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                  }],
+                                  outputSlots: [ {
+                                      index: 0,
+                                      tensorInfo: {
+                                          dimensions: )" + inputShape2 + R"(,
+                                          dataType: )" + inputDataType + R"(
+                                      },
+                                  }],
+                                },}},
+                },
+                {
+                layer_type: "GreaterLayer",
+                layer : {
+                        base: {
+                             index:2,
+                             layerName: "GreaterLayer",
+                             layerType: "Greater",
+                             inputSlots: [
+                                            {
+                                             index: 0,
+                                             connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                            },
+                                            {
+                                             index: 1,
+                                             connection: {sourceLayerIndex:1, outputSlotIndex:0 },
+                                            }
+                             ],
+                             outputSlots: [ {
+                                 index: 0,
+                                 tensorInfo: {
+                                     dimensions: )" + outputShape + R"(,
+                                     dataType: Boolean
+                                 },
+                             }],
+                            }},
+                },
+                {
+                layer_type: "OutputLayer",
+                layer: {
+                        base:{
+                              layerBindingId: 0,
+                              base: {
+                                    index: 3,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:2, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [ {
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + outputDataType + R"(
+                                        },
+                                }],
+                            }}},
+                }]
+         }
+        )";
+        Setup();
+    }
+};
+
+
+struct SimpleGreaterFixtureQuantisedAsymm8 : GreaterFixture
+{
+    SimpleGreaterFixtureQuantisedAsymm8() : GreaterFixture("[ 2, 2 ]",        // input1Shape
+                                                           "[ 2, 2 ]",        // input2Shape
+                                                           "[ 2, 2 ]",        // outputShape
+                                                           "QuantisedAsymm8", // inputDataType
+                                                           "Float32") {}      // outputDataType
+};
+
+struct SimpleGreaterFixtureFloat32 : GreaterFixture
+{
+    SimpleGreaterFixtureFloat32() : GreaterFixture("[ 2, 2, 1, 1 ]", // input1Shape
+                                                   "[ 2, 2, 1, 1 ]", // input2Shape
+                                                   "[ 2, 2, 1, 1 ]", // outputShape
+                                                   "Float32",        // inputDataType
+                                                   "Float32") {}     // outputDataType
+};
+
+struct SimpleGreaterFixtureBroadcast : GreaterFixture
+{
+    SimpleGreaterFixtureBroadcast() : GreaterFixture("[ 1, 2, 2, 2 ]", // input1Shape
+                                                     "[ 1, 1, 1, 1 ]", // input2Shape
+                                                     "[ 1, 2, 2, 2 ]", // outputShape
+                                                     "Float32",        // inputDataType
+                                                     "Float32") {}     // outputDataType
+};
+
+
+BOOST_FIXTURE_TEST_CASE(GreaterQuantisedAsymm8, SimpleGreaterFixtureQuantisedAsymm8)
+{
+    RunTest<2, armnn::DataType::QuantisedAsymm8, armnn::DataType::Boolean>(
+        0,
+        {{"InputLayer1", { 1, 5, 8, 7 }},
+        { "InputLayer2", { 4, 0, 6, 7 }}},
+        {{"OutputLayer", { 0, 1, 1, 0 }}});
+}
+
+BOOST_FIXTURE_TEST_CASE(GreaterFloat32, SimpleGreaterFixtureFloat32)
+{
+    RunTest<4, armnn::DataType::Float32, armnn::DataType::Boolean>(
+        0,
+        {{"InputLayer1", { 1.0f, 2.0f, 3.0f, 4.0f }},
+        { "InputLayer2", { 1.0f, 5.0f, 2.0f, 2.0f }}},
+        {{"OutputLayer", { 0, 0, 1, 1 }}});
+}
+
+BOOST_FIXTURE_TEST_CASE(GreaterBroadcast, SimpleGreaterFixtureBroadcast)
+{
+    RunTest<4, armnn::DataType::Float32, armnn::DataType::Boolean>(
+        0,
+        {{"InputLayer1", { 1, 2, 3, 4, 5, 6, 7, 8 }},
+         {"InputLayer2", { 1 }}},
+        {{"OutputLayer", { 0, 1, 1, 1, 1, 1, 1, 1 }}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()