diff --git a/src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp b/src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp
new file mode 100644
index 0000000..e1aceec
--- /dev/null
+++ b/src/backends/neon/workloads/NeonConvertFp32ToBf16Workload.cpp
@@ -0,0 +1,44 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonConvertFp32ToBf16Workload.hpp"
+
+#include <BFloat16.hpp>
+#include <Profiling.hpp>
+
+#include <armnnUtils/FloatingPointConverter.hpp>
+
+#include <backendsCommon/WorkloadUtils.hpp>
+
+namespace armnn
+{
+
+NeonConvertFp32ToBf16Workload::NeonConvertFp32ToBf16Workload(const ConvertFp32ToBf16QueueDescriptor& descriptor,
+                                                             const WorkloadInfo& info)
+    : Float32ToBFloat16Workload<ConvertFp32ToBf16QueueDescriptor>(descriptor, info)
+{
+    this->m_Data.ValidateInputsOutputs("NeonConvertFp32ToBf16Workload", 1, 1);
+    GatherTensorHandlePairs(descriptor, m_TensorHandlePairs);
+}
+
+void NeonConvertFp32ToBf16Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvertFp32ToBf16Workload_Execute");
+
+    auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size)
+        {
+            auto input = reinterpret_cast<const float*>(src);
+            auto output = reinterpret_cast<BFloat16*>(dst);
+            size_t numElements = size/2; // 2 bytes per bf16
+            armnnUtils::FloatingPointConverter::ConvertFloat32ToBFloat16(input, numElements, output);
+        };
+
+    for (const auto& pair : m_TensorHandlePairs)
+    {
+        CopyTensorContentsGeneric(pair.first, pair.second, convertFunc);
+    }
+}
+
+} //namespace armnn