2 files changed, 12 insertions, 6 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index 992ae71f97..2e0a8f2faa 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -179,7 +179,7 @@ bool RefLayerSupport::IsArgMinMaxSupported(const armnn::TensorInfo &input, const
 {
     IgnoreUnused(descriptor);
 
-    std::array<DataType, 7> supportedTypes =
+    std::array<DataType, 8> supportedInputTypes =
     {
         DataType::BFloat16,
         DataType::Float16,
@@ -187,14 +187,20 @@ bool RefLayerSupport::IsArgMinMaxSupported(const armnn::TensorInfo &input, const
         DataType::QAsymmS8,
         DataType::QAsymmU8,
         DataType::QSymmS16,
-        DataType::Signed32
+        DataType::Signed32,
+        DataType::Signed64
+    };
+
+    std::array<DataType,2> supportedOutputTypes = {
+        DataType::Signed32,
+        DataType::Signed64
     };
 
     bool supported = true;
 
-    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+    supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
                                   "Reference ArgMinMax: input is not a supported type.");
-    supported &= CheckSupportRule(TypeIs(output, DataType::Signed32), reasonIfUnsupported,
+    supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
                                   "Reference ArgMinMax: output type not supported");
 
     return supported;
diff --git a/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp b/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp
index b7246d5b93..bf8649f54d 100644
--- a/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp
+++ b/src/backends/reference/workloads/RefArgMinMaxWorkload.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2019 Arm Ltd. All rights reserved.
+// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -29,7 +29,7 @@ void RefArgMinMaxWorkload::Execute() const
 
     const TensorInfo &outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]);
 
-    if (m_Data.m_Parameters.m_Output_Type == armnn::DataType::Signed32) {
+    if (outputTensorInfo.GetDataType() == armnn::DataType::Signed32) {
         int32_t *output = GetOutputTensorData<int32_t>(0, m_Data);
         ArgMinMax(decoder, output, inputTensorInfo, outputTensorInfo, m_Data.m_Parameters.m_Function,
                   m_Data.m_Parameters.m_Axis);