results_danube-delta.csv

Model name,Model type,Accuracy,Top-3 accuracy,Macro F1-score,Samples,Mistakes,Resolution,Intermediate,MIM,Distilled,Self-supervised learning,ms / sample,Parameters (M),Samples / sec,Peak GPU memory (MB),device,max_batch_size,compile,amp,single_thread,torch_version
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,19.898766353208988,9.926388,50.2543716655447,,cpu,1,false,false,false,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,40.03359011141583,9.926388,24.97902379519152,,cpu,1,false,false,true,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,12.594250411105653,9.926388,79.40131149990448,,cpu,1,true,false,false,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,12.581622993263107,9.926388,79.48100181792564,,cpu,1,true,true,false,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,0.583297236744329,9.926388,1714.3918006220906,,cuda,512,false,false,false,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,0.2851140652486114,9.926388,3507.368179567109,,cuda,512,true,false,false,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,0.1560931233204125,9.926388,6406.432126720272,,cuda,512,true,true,false,2.8.0+cu128
hgnet v2 b2,HGNet v2,0.9520154980999925,0.9843528798152149,0.9262180673733621,13421,644,256,false,false,false,false,,9.926388,,60.9423828125,cuda,1,false,false,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,50.74372617553712,22.085296,19.70686970327549,,cpu,1,false,false,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,104.11732353037225,22.085296,9.604549618568406,,cpu,1,false,false,true,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,34.98256406979635,22.085296,28.58566907802483,,cpu,1,true,false,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,28.837955420992028,22.085296,34.676522152887074,,cpu,1,true,true,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,1.5640803194006971,22.085296,639.3533551928882,,cuda,512,false,false,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,0.9045527536333491,22.085296,1105.518717380788,,cuda,512,true,false,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,0.4616852226172341,22.085296,2165.977923943783,,cuda,512,true,true,false,2.8.0+cu128
hornet tiny 7x7,HorNet,0.9685567394381939,0.9926980105804336,0.9483648007156489,13421,422,256,false,false,false,false,,22.085296,,104.1552734375,cuda,1,false,false,false,2.8.0+cu128