anijain2305 edited a comment on issue #4714: Mxnet parser for Qnn dialect URL: https://github.com/apache/incubator-tvm/pull/4714#issuecomment-576905072 With the latest commit, we have good accuracy for all MxNet-MKLDNN quantized models @tmoreau89 @yzhliu @tqchen @jackwish @FrozenGene @liangfu | MxNet | TVM | Degradation -- | -- | -- | -- | Top1 | Top5 | Top1 | Top5 | Top1 | Top5 Resnet18_v1 | 69.76 | 89.02 | 69.85 | 89.09 | -0.09 | -0.07 Resnet50_v1 | 76.13 | 92.6 | 75.9 | 92.66 | 0.23 | -0.06 Resnet50_v1b | 76.66 | 92.6 | 76.45 | 92.57 | 0.21 | 0.03 Resnet101_v1 | 77.13 | 93.06 | 77 | 93.06 | 0.13 | 0 Resnet152_v2 | 75.99 | 92.52 | 75.32 | 92.26 | 0.67 | 0.26 Inception-V3 | 77.84 | 93.52 | 77.28 | 93.32 | 0.56 | 0.2 Inception-BN | 71.96 | 90.38 | 71.79 | 90.25 | 0.17 | 0.13 MobileNetV1 | 71.27 | 90.09 | 71.13 | 90.16 | 0.14 | -0.07 MobileNetV2 | 70.35 | 89.45 | 70.19 | 89.5 | 0.16 | -0.05 Quantized models are generated using this - https://github.com/apache/incubator-mxnet/tree/master/example/quantization Accuracy is collected over 10,000 inputs with target = 'llvm'
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