I apologize for not being clear in earlier post.
We have used the base code from the following github branch and run the MLPerf benchmark inference on RESNET50 model(resnet50_v1.onnx), then we are getting the invalid dimension error
github branch - mlcommons/inference/tree/master/vision/classification_and_detection
Error : Invalid argument : Got invalid dimensions for input: input_1 for the following indices
index:0 Got:1 Expected:32. Please fix either the inputs or model
And also we have run the MLPerf benchmark inference with tensorflow framework and different models like resnet50, mobilenet, ssd-mobilenet but our results were not matching with the one published on MLCommons, attaching the results here ML_perf_results.xlsx (9.6 KB)