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
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