IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
83ca776
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "library": "timm", | |
| "model": "timm/resnet50.a1_in1k", | |
| "processor": "timm/resnet50.a1_in1k", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "hub_kwargs": {}, | |
| "no_weights": false, | |
| "device_map": null, | |
| "torch_dtype": null, | |
| "eval_mode": true, | |
| "to_bettertransformer": false, | |
| "low_cpu_mem_usage": null, | |
| "attn_implementation": null, | |
| "cache_implementation": null, | |
| "autocast_enabled": false, | |
| "autocast_dtype": null, | |
| "torch_compile": false, | |
| "torch_compile_target": "forward", | |
| "torch_compile_config": {}, | |
| "quantization_scheme": null, | |
| "quantization_config": {}, | |
| "deepspeed_inference": false, | |
| "deepspeed_inference_config": {}, | |
| "peft_type": null, | |
| "peft_config": {} | |
| }, | |
| "scenario": { | |
| "name": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
| "iterations": 1, | |
| "duration": 1, | |
| "warmup_runs": 1, | |
| "input_shapes": { | |
| "batch_size": 1, | |
| "num_choices": 2, | |
| "sequence_length": 2 | |
| }, | |
| "new_tokens": null, | |
| "latency": true, | |
| "memory": true, | |
| "energy": true, | |
| "forward_kwargs": {}, | |
| "generate_kwargs": { | |
| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
| }, | |
| "call_kwargs": { | |
| "num_inference_steps": 2 | |
| } | |
| }, | |
| "launcher": { | |
| "name": "process", | |
| "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
| "device_isolation": true, | |
| "device_isolation_action": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.29792, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "NVIDIA A10G" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 24146608128, | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 949.551104, | |
| "max_global_vram": 1047.003136, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 396.361728, | |
| "max_allocated": 253.912576 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 191, | |
| "total": 0.9994011158943178, | |
| "mean": 0.0052324665753629195, | |
| "stdev": 0.00027729625258547105, | |
| "p50": 0.005073919773101807, | |
| "p90": 0.005493760108947754, | |
| "p95": 0.005784064054489136, | |
| "p99": 0.006300365018844604, | |
| "values": [ | |
| 0.005785600185394287, | |
| 0.005509119987487793, | |
| 0.005634047985076904, | |
| 0.005634047985076904, | |
| 0.005690336227416992, | |
| 0.005631999969482422, | |
| 0.005687295913696289, | |
| 0.005952511787414551, | |
| 0.005824512004852295, | |
| 0.005853184223175049, | |
| 0.006092735767364502, | |
| 0.0052408318519592285, | |
| 0.005078015804290771, | |
| 0.00505241584777832, | |
| 0.005081088066101074, | |
| 0.005035007953643799, | |
| 0.00505241584777832, | |
| 0.005054463863372802, | |
| 0.005063680171966553, | |
| 0.005044223785400391, | |
| 0.005039072036743164, | |
| 0.005037055969238281, | |
| 0.0050841598510742185, | |
| 0.005073919773101807, | |
| 0.005049312114715576, | |
| 0.005033984184265137, | |
| 0.005066751956939697, | |
| 0.005057536125183106, | |
| 0.0050432319641113285, | |
| 0.005082111835479736, | |
| 0.005056511878967285, | |
| 0.005037055969238281, | |
| 0.005032959938049316, | |
| 0.005066751956939697, | |
| 0.005053440093994141, | |
| 0.0050503678321838375, | |
| 0.0050421757698059086, | |
| 0.005064703941345215, | |
| 0.005053440093994141, | |
| 0.005057536125183106, | |
| 0.005057536125183106, | |
| 0.00506060791015625, | |
| 0.005056511878967285, | |
| 0.0050421757698059086, | |
| 0.00505241584777832, | |
| 0.0050462718009948735, | |
| 0.005035967826843262, | |
| 0.0050421757698059086, | |
| 0.005067776203155518, | |
| 0.005061632156372071, | |
| 0.005041152000427246, | |
| 0.005064703941345215, | |
| 0.0050657281875610355, | |
| 0.005051328182220459, | |
| 0.005035007953643799, | |
| 0.0050728960037231445, | |
| 0.005040128231048584, | |
| 0.005043136119842529, | |
| 0.005055488109588623, | |
| 0.005057536125183106, | |
| 0.005051392078399658, | |
| 0.005048319816589355, | |
| 0.0050462718009948735, | |
| 0.005070847988128662, | |
| 0.00505241584777832, | |
| 0.005049344062805176, | |
| 0.005078015804290771, | |
| 0.005066751956939697, | |
| 0.005041152000427246, | |
| 0.005066751956939697, | |
| 0.005089280128479004, | |
| 0.005057536125183106, | |
| 0.0050432000160217285, | |
| 0.005055456161499023, | |
| 0.005074944019317627, | |
| 0.005070847988128662, | |
| 0.00505241584777832, | |
| 0.005051392078399658, | |
| 0.005047296047210693, | |
| 0.005049344062805176, | |
| 0.005056511878967285, | |
| 0.0050841598510742185, | |
| 0.005067776203155518, | |
| 0.005066751956939697, | |
| 0.0050544958114624025, | |
| 0.005082111835479736, | |
| 0.005059584140777588, | |
| 0.005054463863372802, | |
| 0.005030911922454834, | |
| 0.005078015804290771, | |
| 0.00505241584777832, | |
| 0.0050421757698059086, | |
| 0.005075967788696289, | |
| 0.005062655925750732, | |
| 0.0050432000160217285, | |
| 0.005055488109588623, | |
| 0.0050769920349121095, | |
| 0.005075967788696289, | |
| 0.0050462718009948735, | |
| 0.005064703941345215, | |
| 0.00506879997253418, | |
| 0.005057536125183106, | |
| 0.0050462718009948735, | |
| 0.005078015804290771, | |
| 0.005055488109588623, | |
| 0.00506060791015625, | |
| 0.0050421757698059086, | |
| 0.0050769920349121095, | |
| 0.005075007915496826, | |
| 0.00506879997253418, | |
| 0.0050462718009948735, | |
| 0.005087232112884522, | |
| 0.005071872234344482, | |
| 0.005054463863372802, | |
| 0.005073919773101807, | |
| 0.005058527946472168, | |
| 0.0050462718009948735, | |
| 0.005037087917327881, | |
| 0.005096447944641113, | |
| 0.005067776203155518, | |
| 0.005045248031616211, | |
| 0.005078015804290771, | |
| 0.005082111835479736, | |
| 0.005062655925750732, | |
| 0.005054463863372802, | |
| 0.005094399929046631, | |
| 0.005076960086822509, | |
| 0.005056511878967285, | |
| 0.005057536125183106, | |
| 0.005091328144073487, | |
| 0.005062655925750732, | |
| 0.005047296047210693, | |
| 0.005751808166503906, | |
| 0.006362112045288086, | |
| 0.006371391773223877, | |
| 0.006293504238128662, | |
| 0.006280191898345947, | |
| 0.005251071929931641, | |
| 0.0052418880462646485, | |
| 0.005245952129364013, | |
| 0.005187583923339844, | |
| 0.005100543975830078, | |
| 0.005203968048095703, | |
| 0.005401599884033203, | |
| 0.005454847812652588, | |
| 0.005430304050445557, | |
| 0.005384191989898681, | |
| 0.005447679996490478, | |
| 0.005400576114654541, | |
| 0.005399551868438721, | |
| 0.005406720161437988, | |
| 0.005416959762573242, | |
| 0.005398528099060058, | |
| 0.005464000225067139, | |
| 0.005408768177032471, | |
| 0.0054271998405456545, | |
| 0.005388288021087646, | |
| 0.005710847854614258, | |
| 0.005430272102355957, | |
| 0.005468192100524902, | |
| 0.005475327968597412, | |
| 0.0058951997756958, | |
| 0.0057825279235839844, | |
| 0.005473279953002929, | |
| 0.0054241280555725096, | |
| 0.005416895866394043, | |
| 0.005451776027679443, | |
| 0.005430272102355957, | |
| 0.005442527770996094, | |
| 0.00546611213684082, | |
| 0.005401599884033203, | |
| 0.005446656227111817, | |
| 0.005419007778167725, | |
| 0.005365695953369141, | |
| 0.005417984008789062, | |
| 0.005493760108947754, | |
| 0.00536678409576416, | |
| 0.005450751781463623, | |
| 0.005362688064575195, | |
| 0.005470176219940185, | |
| 0.0054282240867614745, | |
| 0.005403647899627686, | |
| 0.005438464164733887, | |
| 0.00538316822052002, | |
| 0.005390336036682129, | |
| 0.005436416149139404, | |
| 0.005392384052276611, | |
| 0.00541593599319458, | |
| 0.0054609918594360355, | |
| 0.005426176071166992, | |
| 0.005441535949707031 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 191.114455409711 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.186595807472866e-08, | |
| "ram": 3.379375038434773e-08, | |
| "gpu": 1.295545017916651e-07, | |
| "total": 2.252142102507415e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 4440217.1554212915 | |
| } | |
| } | |
| } | |
| } |