AI-performance / embedded-ai.bench

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

Date Created 2020-06-15 (4 years ago)

Commits 272 (last one 3 years ago)

Stargazers 201 (0 this week)

Watchers 14 (0 this week)

Forks 28

License other

This repository has been archived on Github

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RepositoryStats indexes 530,482 repositories, of these AI-performance/embedded-ai.bench is ranked #166,806 (69th percentile) for total stargazers, and #150,810 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #28,820/102,364.

AI-performance/embedded-ai.bench is also tagged with popular topics, for these it's ranked: android (#4,205/9048), ios (#2,472/5039), artificial-intelligence (#751/1802), benchmark (#242/653), arm (#184/409)

Other Information

AI-performance/embedded-ai.bench has Github issues enabled, there are 17 open issues and 22 closed issues.

There have been 5 releases, the latest one was published on 2020-09-28 (3 years ago) with the name Support TensorFlow Lite benchmark for android platform.

Homepage URL: https://www.ai-performance.com

All Topics

arm ios mnn tnn ncnn android arm-neon benchmark inference embedded-ai tensorflow-lite artificial-intelligence deep-learning-framework deep-learning-inference

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updated: 2024-04-29 @ 03:24am, id: 272343306 / R_kgDOEDuhCg