演讲者：
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Monica Houston
Software Engineer and Machine Learning Specialist, Avnet
From CPUs to DPUs and TPUs to GPUs, there is an ever-growing alphabet soup of specialized processor architectures. This, combined with the dozens of software frameworks available for machine learning, makes choosing the ideal combination for speed, power and accuracy an interesting task. What are the most common ways of comparing inference on single board computers that take into consideration the diversity of software and hardware available? Join us to explore results on MaaXBoard and other popular industry SBCs using the MLPerf suite for benchmarking.
Software Engineer and Machine Learning Specialist, Avnet