diff --git a/src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp b/src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp
new file mode 100644
index 0000000..7e0589e
--- /dev/null
+++ b/src/backends/cl/workloads/ClSoftmaxUint8Workload.cpp
@@ -0,0 +1,43 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClSoftmaxUint8Workload.hpp"
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/CpuTensorHandle.hpp>
+
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+ClSoftmaxUint8Workload::ClSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info,
+                                               std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
+    : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info)
+    , m_SoftmaxLayer(memoryManager)
+{
+    m_Data.ValidateInputsOutputs("ClSoftmaxUint8Workload", 1, 1);
+
+    arm_compute::ICLTensor& input  = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    const auto outputQuantization = output.info()->quantization_info();
+
+    if ((outputQuantization.scale != (1.0f / 256.0f)) || (outputQuantization.offset != 0))
+    {
+        throw InvalidArgumentException(
+            "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported");
+    }
+
+    m_SoftmaxLayer.configure(&input, &output, descriptor.m_Parameters.m_Beta);
+}
+
+void ClSoftmaxUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClSoftmaxUint8Workload_Execute");
+
+    m_SoftmaxLayer.run();
+}
+
+} //namespace armnn