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Hi
I've tested demo_benchmark_app of the OpenVINO examples provided by Intel on both the Myriad X(NCS2) and Intel(R) Core(TM) i5-6500 CPU.The result is below:
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Full device name: Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz
Count: 1000 iterations
Duration: 2569.53 ms
Latency: 10.01 ms
Throughput: 389.18 FPS
//////////////////////////////////////////////////////////////////////////////////////////////////////
Full device name: Intel Movidius Myriad X VPU
Count: 1000 iterations
Duration: 3782.36 ms
Latency: 15.07 ms
Throughput: 264.39 FPS
//////////////////////////////////////////////////////////////////////////////////////////////////////
So the i5-6500 CPU is faster than Myriad X(NCS2)? Is this result normal?
Best Regards,
Jerry Chen
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Looks normal to me. I get similar results.
What was your expectation?
Cheers,
nikos
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Thank you for reaching out, I apologize for the delay in my response.
Yes, you are right. The benchmarks showed in this performance documentation, demonstrate high-performance gains on several public neural networks for a streamlined, quick deployment on Intel® CPU, VPU and FPGA platforms. You can use this information to help you decide which hardware is best for your applications and solutions.
Regards,
Mauricio R.
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Hello I'm beginner , sorry for poor English
I got similar (NCS2 was much later than CPU)results, but not demo models.
I made a deep learnning models which predict MNIST, and then converted frozen .pb file to IR format(.bin .xml) and inferred using OpenVINO.
Is this result from USB 2.0 of my PC?
Is it depends on complexity of model(MNIST is so simple?)?
SPEC bellw:
python 3.6.8
OpenVINO 2021.2
Tensorflow 2.4.0
Windows 10
Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz
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