| accuracy,device,elapsed_sec,energy_j,energy_per_inference_j,latency_ms_per_image,model_size_mb,n_images,nonzero_parameters,num_parameters,throughput_imgs_per_sec,variant,source |
| 0.590625,cuda:0,5.932532072067261,365.2547187972362,0.0713388122650851,1.1586976703256369,78.81310176849365,5120,20433688,20433688,863.0378964332974,D0_fp32,/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv |
| 0.009375,cuda:0,4.6624085903167725,333.4393738245564,0.0651248777001086,0.9106266777962446,78.81310176849365,5120,10439476,20433688,1098.144853849486,D1_pruned_masked,/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv |
| 0.55390625,cuda:0,5.180543422698975,370.8428128540058,0.072430236885548,1.0118248872458937,78.81310176849365,5120,20433688,20433688,988.3133065860044,D2_pruned_finetuned,/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv |
| 0.6140625,cpu,48.25364923477173,1860.4152575535088,0.7267247099818394,18.849081732332703,21.895535469055176,2560,0,0,53.052982325640485,D3_int8_cpu_fx,/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv |
| 0.0,cpu,47.83784866333008,1783.6445334402204,0.696736145875086,18.68665963411331,21.895535469055176,2560,0,0,53.51411218377716,D4_pruned_int8,/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv |
|
|
