diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 8286007..c4d2942 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -2941,9 +2941,6 @@
 
 void TfLiteParserImpl::ParseArgMax(size_t subgraphIndex, size_t operatorIndex)
 {
-    const auto &operatorPtr = m_Model->subgraphs[subgraphIndex]->operators[operatorIndex];
-    const auto *options = operatorPtr->builtin_options.AsArgMaxOptions();
-
     CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);
     auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
     CHECK_VALID_SIZE(inputs.size(), 2);
@@ -2961,14 +2958,20 @@
 
     ArgMinMaxDescriptor desc;
     desc.m_Axis = axisBufferPtr->data.data()[0];
-    // If output_type is int32 then set Signed32 else Signed64. Default type is Signed64.
-    desc.m_Output_Type = options->output_type == 3 ? armnn::DataType::Signed32 : armnn::DataType::Signed64;
     desc.m_Function = ArgMinMaxFunction::Max;
 
     // Register a ArgMax layer.
     IConnectableLayer *layer = m_Network->AddArgMinMaxLayer(desc, layerName.c_str());
 
     armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    if (outputTensorInfo.GetDataType() != armnn::DataType::Signed32 &&
+        outputTensorInfo.GetDataType() != armnn::DataType::Signed64)
+    {
+        throw ParseException(
+                fmt::format(
+                        "Output tensor data type is not supported. (Supported types: Signed32 & Signed64) {}",
+                                CHECK_LOCATION().AsString()));
+    }
     layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
 
     // Register input tensor to the layer.