diff --git a/src/backends/neon/workloads/NeonExpWorkload.cpp b/src/backends/neon/workloads/NeonExpWorkload.cpp
new file mode 100644
index 0000000..7baaa84
--- /dev/null
+++ b/src/backends/neon/workloads/NeonExpWorkload.cpp
@@ -0,0 +1,42 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonExpWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <armnn/utility/PolymorphicDowncast.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonExpWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInput  = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    return arm_compute::NEExpLayer::validate(&aclInput, &aclOutput);
+}
+
+NeonExpWorkload::NeonExpWorkload(const ElementwiseUnaryQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<ElementwiseUnaryQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonExpWorkload", 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();
+
+    m_ExpLayer.configure(&input, &output);
+}
+
+void NeonExpWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonExpWorkload_Execute");
+    m_ExpLayer.run();
+}
+
+} // namespace armnn