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multiple cpu cores #38

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nqvqb opened this issue May 15, 2019 · 2 comments
Open

multiple cpu cores #38

nqvqb opened this issue May 15, 2019 · 2 comments

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@nqvqb
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nqvqb commented May 15, 2019

Hi,

Thank you very much for your guide and I finally got customised trained yolov3 tiny version working on my laptop. Also the yolov3 version is working at 4~5FPS. My pc shows 1 cpu is utilised at 100%, it is possible to allocate the computation to multiple cpus? I can tell the batch size is forced to 1, would it work in async with higher batch size and potentially increase over all inference speed when running a larger model like yolov3?

@PINTO0309
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The performance of OpenVINO depends on the total number of CPU cores. Please see the benchmark article below. I can not try because I do not have the following high-performance CPU.
https://www.intel.ai/cpu-inference-performance-boost-openvino/#gs.c1wkmh

@PINTO0309
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If you quantize a model, it may work even faster.
https://www.intel.ai/introducing-int8-quantization-for-fast-cpu-inference-using-openvino/#gs.c21087

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