ImageNet

Network Name Accuracy (top1)QuantizedInput Resolution (HxWxC)Params (M)OPS (G)PretrainedSourceCompiled
efficientnet_l 80.4679.36300x300x310.5519.4download link download
efficientnet_lite0 74.9973.81224x224x34.630.78download link download
efficientnet_lite1 76.6876.21240x240x35.391.22download link download
efficientnet_lite2 77.4576.74260x260x36.061.74download link download
efficientnet_lite3 79.2978.33280x280x38.162.8download link download
efficientnet_lite4 80.7980.47300x300x312.955.10download link download
efficientnet_m 🚀 78.9178.63240x240x36.877.32download link download
efficientnet_s 77.6477.32224x224x35.414.72download link download
hardnet39ds 73.4372.92224x224x33.480.86download link download
hardnet68 75.4775.04224x224x317.568.5download link download
inception_v1 69.7469.54224x224x36.623download link download
mobilenet_v1 70.9770.15224x224x34.221.14download link download
mobilenet_v2_1.0 🚀 71.7871.08224x224x33.490.62download link download
mobilenet_v2_1.4 74.1873.07224x224x36.091.18download link download
mobilenet_v3 72.2171.73224x224x34.072download link download
mobilenet_v3_large_minimalistic 72.1170.92224x224x33.910.42download link download
regnetx_1.6gf 77.0576.75224x224x39.173.22download link download
regnetx_800mf 75.1674.84224x224x37.241.6download link download
regnety_200mf 70.3870.02224x224x33.150.4download link download
repvgg_a1 74.473.61224x224x312.794.7download link download
repvgg_a2 76.5275.08224x224x325.510.2download link download
resmlp12_relu 75.2674.32224x224x315.776.04download link download
resnet_v1_18 71.2671.06224x224x311.683.64download link download
resnet_v1_34 72.772.14224x224x321.797.34download link download
resnet_v1_50 🚀 ⭐ 75.1274.47224x224x325.536.98download link download
resnet_v2_18 69.5769.1224x224x311.683.64download link download
resnet_v2_34 73.0772.72224x224x321.797.34download link download
resnext26_32x4d 76.1875.78224x224x315.374.96download link download
resnext50_32x4d 79.3178.39224x224x324.998.48download link download
shufflenet_g8_w1 66.365.5224x224x32.460.36download link download
squeezenet_v1.1 59.8559.4224x224x31.240.78download link download
vit_base 79.9878.88224x224x386.534.2download link download
vit_small 78.1277.02224x224x321.128.5download link download
vit_tiny 68.0266.08224x224x35.414.72download link download
  • Network available in Hailo Benchmark are marked with 🚀
  • Networks available in TAPPAS are marked with ⭐