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ext_results.md

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model default
rate
extended
rate
perf
diff
time
diff
torchvision-resnet50 21.4707 21.0699 -0.41297 ✅ 27m28s
torchvision-resnet50_fp16 9.405 9.05957 -0.35678 ✅ 19m18s
torchvision-densenet121 13.3029 13.1682 -0.13685 ✅ 22m57s
torchvision-densenet121_fp16 7.8712 7.69926 -0.1284 ✅ 15m35s
torchvision-inceptionv3 19.3873 19.2296 -0.16688 ✅ 11m5s
torchvision-inceptionv3_fp16 12.2936 11.9804 -0.32055 ✅ 12m32s
cadene-inceptionv4 20.7222 19.9217 -0.81714 ✅ 7m50s
cadene-resnext64x4 21.7808 21.0924 -0.65743 ✅ 12m35s
slim-mobilenet 9.17152 7.68672 -1.48949 ✅ 25m1s
slim-nasnetalarge 362.792 319.387 -43.9405 ✅ 114m7s
slim-resnet50v2 22.4708 21.7051 -0.78866 ✅ 21m31s
bert-mrpc-onnx 7.66774 7.19975 -0.47715 ✅ 2m5s
bert-mrpc-tf 2.12468 2.39772 0.148775 🔴 1m36s
pytorch-examples-wlang-gru 1.9022 2.25884 0.149624 🔴 0m52s
pytorch-examples-wlang-lstm 2.10547 2.57344 0.093087 🔴 0m46s
torchvision-resnet50_1 1.36961 1.27107 0.05001 🔴 2m35s
cadene-dpn92_1 2.84821 2.85613 0.324351 🔴 6m48s
cadene-resnext101_1 2.75558 2.68467 -0.05946 ✅ 3m13s
onnx-taau-downsample 2.85933 2.83414 -0.01402 ✅ 2m7s
dlrm-criteoterabyte 30.0065 28.1084 -2.00345 ✅ 85m21s
dlrm-criteoterabyte_fp16 17.1232 16.8194 -0.21323 ✅ 57m12s
agentmodel 0.138447 0.161597 -0.0421 ✅ 0m20s
unet_fp16 33.9634 31.8342 -2.58295 ✅ 21m37s
resnet50v1_fp16 1.03229 0.979984 -0.06999 ✅ 8m57s
resnet50v1_int8 1.2569 1.02615 -0.17043 ✅ 23m29s
bert_base_cased_fp16 64.1911 61.6807 -3.04018 ✅ 17m29s
bert_large_uncased_fp16 106.162 100.319 -5.86713 ✅ 12m42s
bert_large_fp16 5.10241 4.70123 -0.34 ✅ 7m50s
distilgpt2_fp16 8.03759 7.86348 -0.18677 ✅ 4m31s
yolov5s 1.90073 1.86153 -0.07495 ✅ 1m53s
tinyllama 22.3574 19.357 -3.04506 ✅ 3m4s
vicuna-fastchat 5.41466 5.39066 -0.06952 ✅ 1m29s
whisper-tiny-encoder 2.4532 2.31435 -0.16052 ✅ 2m20s
whisper-tiny-decoder 2.38854 2.12036 -0.27047 ✅ 3m56s