Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Are there any performance/benchmark numbers available to share? #133

Closed
hehaifengcn opened this issue Dec 8, 2018 · 2 comments
Closed

Comments

@hehaifengcn
Copy link

Particularly, performance comparison against different platforms (PyTorch, MXNet, TF). Also performance comparison among different hardware: cpu vs gpu(cuda) vs MKL-DNN.

@yufenglee
Copy link
Member

We have a tool (https://github.com/Microsoft/onnxruntime/tree/master/onnxruntime/test/perftest) that can do performance measurement against a certain model. It's written in C++. For python, you can follow (https://github.com/Microsoft/onnxruntime/blob/master/onnxruntime/python/tools/onnxruntime_test.py) to measure the performance. For now, we don't provide official benchmark data and would like the users to do the performance comparison against the models that they are interesting in.

@mmxuan18
Copy link

mmxuan18 commented Jul 7, 2022

We have a tool (https://github.com/Microsoft/onnxruntime/tree/master/onnxruntime/test/perftest) that can do performance measurement against a certain model. It's written in C++. For python, you can follow (https://github.com/Microsoft/onnxruntime/blob/master/onnxruntime/python/tools/onnxruntime_test.py) to measure the performance. For now, we don't provide official benchmark data and would like the users to do the performance comparison against the models that they are interesting in.
@yufenglee does this tool support android / ios devices benchmark?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants