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Benchmarks

AI Benchmark

While Machine Learning is already a mature field, for many years it was lacking a professional, accurate and lightweight tool for measuring AI performance of various hardware used for training and inference with ML algorithms. Today we are making a step forward towards standardizing the benchmarking of AI-related silicon, and present a new standard for all-round performance evaluation of hardware platforms capable of running machine and deep learning models.

Scientific Area:
Machine Learning

Language/Environments:
Python

Target Group:
Basic


Cite as:
Andrey Ignatov, ai-benchmar, Computer Vision Lab, ETH Zurich, Switzerland (2022)

Author of the review:
Ivo Nowak
HAW Hamburg


Reviews

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