diff --git a/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp b/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp
new file mode 100644
index 0000000..058756e
--- /dev/null
+++ b/src/backends/neon/workloads/NeonLogSoftmaxWorkload.cpp
@@ -0,0 +1,53 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonLogSoftmaxWorkload.hpp"
+#include "NeonWorkloadUtils.hpp"
+
+#include <armnn/utility/PolymorphicDowncast.hpp>
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonLogSoftmaxWorkloadValidate(const TensorInfo& input,
+                                                   const TensorInfo& output,
+                                                   const LogSoftmaxDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    int aclAxis = ComputeSoftmaxAclAxis<int>(descriptor, input);
+    return arm_compute::NELogSoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis);
+}
+
+NeonLogSoftmaxWorkload::NeonLogSoftmaxWorkload(const LogSoftmaxQueueDescriptor& descriptor,
+                                               const WorkloadInfo& info,
+                                               std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
+    : BaseWorkload<LogSoftmaxQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonLogSoftmaxWorkload", 1, 1);
+
+    arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    auto layer = std::make_unique<arm_compute::NELogSoftmaxLayer>(memoryManager);
+    int aclAxis = ComputeSoftmaxAclAxis<int>(m_Data.m_Parameters, info.m_InputTensorInfos[0]);
+    layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
+    m_LogSoftmaxLayer.reset(layer.release());
+}
+
+void NeonLogSoftmaxWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonLogSoftmaxWorkload_Execute");
+    m_LogSoftmaxLayer->run();
+}
+
+} //namespace armnn
+