MRT Quantization Results

alexnet:Iteration: 312 | evalfunc: top1=55.90% top5=78.74% | quantize: top1=51.44% top5=77.23% | Total Sample: 50080

vgg19:Iteration: 781 | evalfunc: top1=74.13% top5=91.77% | quantize: top1=73.29% top5=91.52% | Total Sample: 50048

densenet161:Iteration: 312 | evalfunc: top1=77.62% top5=93.82% | quantize: top1=77.26% top5=93.67% | Total Sample: 50080

mobilenetv2_1.0:Iteration: 312 | evalfunc: top1=72.05% top5=90.58% | quantize: top1=69.79% top5=89.14% | Total Sample: 50080

resnet18_v1:Iteration: 312 | evalfunc: top1=70.96% top5=89.93% | quantize: top1=70.11% top5=89.61% | Total Sample: 50080

resnet18_v1b_0.89:Iteration: 312 | evalfunc: top1=67.20% top5=87.45% | quantize: top1=63.79% top5=85.62% | Total Sample: 50080

resnet50_v1:Iteration: 312 | evalfunc: top1=77.39% top5=93.59% | quantize: top1=76.45% top5=93.29% | Total Sample: 50080

resnet50_v2:Iteration: 312 | evalfunc: top1=77.15% top5=93.44% | quantize: top1=74.15% top5=91.74% | Total Sample: 50080

squeezenet1.0:Iteration: 312 | evalfunc: top1=57.19% top5=80.04% | quantize: top1=54.91% top5=78.64% | Total Sample: 50080

mobilenet1_0:Iteration: 312 | evalfunc: top1=70.77% top5=89.97% | quantize: top1=66.11% top5=87.35% | Total Sample: 50080

shufflenet_v1:Iteration: 312 | evalfunc: top1=63.48% top5=85.12% | quantize: top1=60.45% top5=82.95% | Total Sample: 50080

tf_inception_v3:Iteration: 312 | evalfunc: top1=45.16% top5=67.93% | quantize: top1=49.62% top5=74.71% | Total Sample: 50080

cifar_resnet20_v1:Iteration: 62 | evalfunc: top1=92.88% top5=99.78% | quantize: top1=92.82% top5=99.75% | Total Sample: 10080

mnist:Iteration: 62 | evalfunc: top1=99.00% top5=100.00% | quantize: top1=98.96% top5=100.00% | Total Sample: 10080

qd10_resnetv1_20:Iteration: 1732 | evalfunc: top1=85.72% top5=98.71% | quantize: top1=85.73% top5=98.70% | Total Sample: 277280

quickdraw:Iteration: 1732 | evalfunc: top1=81.66% top5=98.22% | quantize: top1=81.57% top5=98.20% | Total Sample: 277280

ssd:Iteration: 76 | evalfunc: 80.30% | quantize: 80.05% | Total Sample: 4928

ssd_512_mobilenet1.0_voc:Iteration: 308 | evalfunc: 75.51% | quantize: 71.26% | Total Sample: 4944

yolo3_darknet53_voc:Iteration: 102 | evalfunc: 81.51% | quantize: 81.51% | Total Sample: 4944

yolo3_mobilenet1.0_voc:Iteration: 76 | evalfunc: 76.03% | quantize: 71.56% | Total Sample: 4928

trec:Iteration: 3 | evalfunc: 98.19% | quantize: 97.99% | Total Sample: 640