Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.


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


Target Group:

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

Author of the review:
Ivo Nowak
HAW Hamburg


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