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Intel-caffe + MKL-DNN inference performance droped from 230 to 5 FPS #52

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etaf opened this issue Feb 20, 2017 · 7 comments
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Intel-caffe + MKL-DNN inference performance droped from 230 to 5 FPS #52

etaf opened this issue Feb 20, 2017 · 7 comments

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@etaf
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etaf commented Feb 20, 2017

Intel-caffe + MKL-DNN inference performance droped from 230 to 5 FPS
FPS 230: intel caffe commit: cc00ffa
FPS 5: intel caffe commit: 3f4348a

@jczaja
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jczaja commented Feb 20, 2017

Thanks very much for reporting this, could you please send us model of yours (could be narrowed down) that You used for this comparison?

@etaf
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etaf commented Feb 20, 2017

It's a general problem, you can use bvlc_googlenet.

@jczaja
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jczaja commented Feb 20, 2017

Ok, We just pushed some changes, that may affect/fix perofrmance of MKLDNN. Could you please retest and let us now if problem does still occur?

@etaf
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etaf commented Feb 20, 2017

Seems it's been fixed, and I see there is a huge improvement on bvlc_alexnet.

@jczaja
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jczaja commented Feb 21, 2017

Are you looking at average forward time of caffe time output, or just measure time it takes to do actual classification ?

@etaf
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etaf commented Feb 22, 2017

Both, Is it normal that alexnet' inference perfromance has more than 30x improvement, but googlenet not ?

@pnoga
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pnoga commented Feb 28, 2017

MKL DNN is still a demo library AlexNet performacne is first priority. Googlenet performance will be improved soon.

@pnoga pnoga closed this as completed Feb 28, 2017
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