I did not do any performance profiling yesterday. I am currently interested in deploying object detection models for video streams, and plan to do detailed profiling of those when ready.

That said, the label_image classification example does provide some timing information. On the 500x600px test image that comes with it, non-quantized classifier for 10 iterations took ~900 ms on a RPi2 while quantized took ~300 ms. The confidence values were much lower in the quantized version, but I didn't spot any major misclassification.