Abstract
The rise of Machine Learning (ML) in the last decade has created an unprecedented surge in demand for new and more powerful hardware. Various hardware approaches exist to take on these large demands motivating the need for hardware performance benchmarks to compare these diverse hardware systems. In this paper, we present a comprehensive analysis and comparison of available benchmark suites in the field of ML and related fields. The analysis of these benchmarks is used to discuss the potential of ARM processors within the context of ML deployments. Our paper concludes with a brief hardware performance comparison of modern, server-grade ARM and x86 processors using a benchmark suite selected from our survey.
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