17
  <td class="tg-lboi">5.7x</td>
  <td class="tg-lboi">Samsung S9</td>
  <td class="tg-lboi">Static quantization, Floating point numbers are based on Caffe2 run-time and are not optimized</td>
</tr>



Accuracy results
We also compared the accuracy of static quantized models with the floating point models on Imagenet. For dynamic quantization, we compared the F1 score of BERT on the GLUE benchmark for MRPC.
Computer Vision Model accuracy


Model
Top-1 Accuracy (Float)
Top-1 Accuracy (Quantized)
Quantization scheme


Googlenet
69.8
69.7
Static post training quantization

