google / google/XNNPACK

Openvino Benchmarks

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Description

Dear all,

I have been running some benchmarks in the following computer:
- Amazon EC2 x86 T2.Large with Ubuntu 18.04.

DNN Models:
- MobileNet V1
- AlexNet

For the following inferences engines:
- OpenVino
- TensorFlowLite
- XNNPACK 'pure'

We see that OpenVino outperforms TFL and XNNPACK by quite a lot:
- OpenVino uses 50% of the CPU of XNNPACK pure and 25% of TFL's
- OpenVino takes 50% latency of XNNPACK and 10% of TFL's

Now, I know that OpenVino has this special layer optimisation logic where they reduce a model to a few conv layers.

However, I was wondering if someone else has been running similar benchmarks? And advise will be welcomed, as I am not sure if the results I got make sense.

Thanks a lot.

Pablo.

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