| # E2AM-ResNet50 |
|
|
| ## Model Details |
| - Architecture: ResNet-50 |
| - Initialization: from scratch (`weights=None`) |
| - Dataset source: Kaggle ImageFolder or Hugging Face dataset; no torchvision-hosted dataset download is used. |
| - Energy: NVIDIA-SMI GPU power sampling summed across visible GPUs. |
|
|
| ## Training Results |
| | run_id | variant_name | best_f1_score | final_accuracy | final_f1_score | total_energy_j | total_time_sec | total_co2_kg | num_parameters | |
| |:-----------------------|:---------------|----------------:|-----------------:|-----------------:|-----------------:|-----------------:|---------------:|-----------------:| |
| | cifar10/M2_amp_only | M2_amp_only | 0.666577 | 0.673 | 0.666577 | 477292 | 3803.68 | 0.062976 | 23528522 | |
| | cifar10/M7_full_e2am | M7_full_e2am | 0.683629 | 0.6851 | 0.683629 | 471771 | 3835.59 | 0.0622476 | 23528522 | |
| | cifar10/baseline_fixed | baseline_fixed | 0.661276 | 0.6546 | 0.661276 | 1.02776e+06 | 7988.1 | 0.135608 | 23528522 | |
|
|
| ## Deployment Results |
| | variant | accuracy | f1_score | latency_ms_per_image | throughput_images_per_sec | energy_per_inference_j | sparsity_percent | |
| |:------------------------|-----------:|-----------:|-----------------------:|----------------------------:|-------------------------:|-------------------:| |
| | fp32 | 0.689063 | 0.687344 | 4.46075 | 224.178 | 0.435256 | 0 | |
| | pruned | 0.103906 | 0.0257757 | 3.33544 | 299.81 | 0.323063 | 19.9062 | |
| | pruned_finetuned | 0.665365 | 0.664818 | 3.18521 | 313.951 | 0.301914 | 10.7355 | |
| | dynamic_linear_int8_cpu | 0.686198 | 0.684309 | 225.033 | 4.4438 | nan | 0 | |
| |
| ## Limitations |
| - Dynamic depth routing is not claimed in this ResNet-50 experiment. |
| - CPU INT8 energy is not GPU energy and is reported as unavailable. |
