diff --git a/src/backends/gpuFsa/test/GpuFsaOptimizedNetworkTests.cpp b/src/backends/gpuFsa/test/GpuFsaOptimizedNetworkTests.cpp
index 4b27f3b..aad3a0f 100644
--- a/src/backends/gpuFsa/test/GpuFsaOptimizedNetworkTests.cpp
+++ b/src/backends/gpuFsa/test/GpuFsaOptimizedNetworkTests.cpp
@@ -15,6 +15,45 @@
 TEST_SUITE("GpuFsaOptimizedNetwork")
 {
 
+TEST_CASE("CastSupportedOptimizedNetwork")
+{
+    using namespace armnn;
+
+    const float qScale = 1.0f;
+    const int32_t qOffset = 0;
+
+    const TensorShape& inputShape   = { 2, 2, 2 };
+    const TensorShape& outputShape  = { 2, 2, 2 };
+
+    TensorInfo inputTensorInfo(inputShape, DataType::Float32, qScale, qOffset, true);
+    TensorInfo outputTensorInfo(outputShape, DataType::Float16, qScale, qOffset);
+
+    IRuntime::CreationOptions options;
+    IRuntimePtr runtime(IRuntime::Create(options));
+    INetworkPtr network(INetwork::Create());
+
+    IConnectableLayer* input     = network->AddInputLayer(0, "input");
+    IConnectableLayer* castLayer = network->AddCastLayer("cast");
+    IConnectableLayer* output    = network->AddOutputLayer(1, "output");
+
+    Connect(input, castLayer, inputTensorInfo, 0, 0);
+    Connect(castLayer, output, outputTensorInfo, 0, 0);
+
+    std::vector<BackendId> backends = { "GpuFsa" };
+
+    OptimizerOptionsOpaque optimizedOptions;
+    IOptimizedNetworkPtr optNet = Optimize(*network, backends, runtime->GetDeviceSpec(), optimizedOptions);
+    CHECK(optNet);
+
+    Graph& graph = GetGraphForTesting(optNet.get());
+
+    // Check graph layer sequence to ensure that the network has been replaced with a PreCompiledLayer
+    CHECK(CheckSequence(graph.cbegin(), graph.cend(),
+                        &IsLayerOfType<InputLayer>,
+                        &IsLayerOfType<PreCompiledLayer>,
+                        &IsLayerOfType<OutputLayer>));
+}
+
 TEST_CASE("SingleConv2dSupportedOptimizedNetwork")
 {
     IRuntime::CreationOptions options;