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For MobileNet_v2_1.0 (from openvino zoo) It is expected to get 91 fps but I am able to get only 70
converted to IR by
sudo python3 open_model_zoo/tools/downloader/converter.py --name MobileNet_v2_1.0 --mo /opt/intel/openvino_2021/deployment_tools/model_optimizer/mo.py
this command will give both FP16 and FP32
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python3 benchmark_app.py -i ~/Downloads/image_coco/ -m /opt/intel/openvino_2021/deployment_tools/public/mobilenet-v2-1.0-224/FP16/mobilenet-v2-1.0-224.xml -d MYRIAD
NB: folder image_coco contains a single image of a person
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output was
Count: 4224 iterations
Duration: 60091.21 ms
Latency: 56.75 ms
Throughput: 70.29 FPS
why there is a drop of almost 20 frames?
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Hello Adarsh Sudarsan,
Can you share the link to the website that you mentioned earlier in this thread? And which Movidius device you used to run the inference (eg: NCS1, NCS2, or Myriad X)?
Here is my benchmark_app test result using the mobilenet-v2-1.0-224 model on NCS 2:
Count: 6908 iterations
Duration: 60045.27 ms
Latency: 34.64 ms
Throughput: 115.05 FPS
Sincerely,
Zulkifli
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Hello Adarsh Sudarsan,
This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.
Sincerely,
Zulkifli
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