Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf

Abstract

We provide a novel decomposition methodology from the current MLPerf benchmark to the serverless function execution model. We have tested our approach in Amazon Lambda to benchmark the processing capabilities of OpenCV and OpenVINO inference engines.