在Faster R-CNN 中DEMO 的CPU（i5）和GPU（GTX1060 ）时间对比

软硬件环境：

Ubuntu 14.04 64bit
NVIDIA GeForce GTX 1060 6GB
Intel® Core™ i5-6500 CPU @ 3.20GHz × 4
8GB memory
CUDA 8.0
cuDNN 5.0

zf net使用CPU的时间：

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Demo for data/demo/000456.jpg
Detection took 3.800s for 300 object proposals
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Demo for data/demo/000542.jpg
Detection took 3.013s for 135 object proposals
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Demo for data/demo/001150.jpg
Detection took 3.423s for 231 object proposals
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Demo for data/demo/001763.jpg
Detection took 3.215s for 200 object proposals
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Demo for data/demo/004545.jpg
Detection took 3.788s for 300 object proposals

zf net使用GPU的时间：

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Demo for data/demo/000456.jpg
Detection took 0.069s for 300 object proposals
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Demo for data/demo/000542.jpg
Detection took 0.051s for 135 object proposals
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Demo for data/demo/001150.jpg
Detection took 0.058s for 231 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001763.jpg
Detection took 0.057s for 200 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/004545.jpg
Detection took 0.064s for 300 object proposals

VGG16 net 使用CPU的时间

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Demo for data/demo/000456.jpg
Detection took 17.795s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000542.jpg
Detection took 15.609s for 161 object proposals
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Demo for data/demo/001150.jpg
Detection took 16.014s for 194 object proposals
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Demo for data/demo/001763.jpg
Detection took 15.853s for 196 object proposals
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Demo for data/demo/004545.jpg
Detection took 16.921s for 300 object proposals

VGG16 net 使用GPU的时间

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Demo for data/demo/000456.jpg
Detection took 0.162s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000542.jpg
Detection took 0.132s for 161 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001150.jpg
Detection took 0.148s for 194 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001763.jpg
Detection took 0.145s for 196 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/004545.jpg
Detection took 0.162s for 300 object proposals

结论：

VGG16 差距达到100倍！

Note: CPU只用了一个核心。