IlyasMoutawwakil's picture
Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
11bd0a1 verified
raw
history blame
No virus
6.33 kB
{
"config": {
"name": "cpu_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "timm",
"model_type": "resnet50",
"model": "timm/resnet50.a1_in1k",
"processor": "timm/resnet50.a1_in1k",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_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,
"memory": true,
"latency": 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": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.767104,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0",
"optimum_benchmark_commit": "d070104543478b722db56ba828611524c5fbdbb5",
"transformers_version": "4.45.1",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 525.611008,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 3.3342706829999997,
"mean": 3.3342706829999997,
"stdev": 0.0,
"p50": 3.3342706829999997,
"p90": 3.3342706829999997,
"p95": 3.3342706829999997,
"p99": 3.3342706829999997,
"values": [
3.3342706829999997
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.864072127778123e-06,
"ram": 4.12082980437199e-07,
"gpu": 0,
"total": 1.0276155108215322e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 556.843008,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 12,
"total": 1.0681136669999773,
"mean": 0.08900947224999811,
"stdev": 0.006437534628388096,
"p50": 0.09170879100000207,
"p90": 0.09346374319996471,
"p95": 0.09607294449998846,
"p99": 0.09859391130001598,
"values": [
0.09271807999999737,
0.09213051099999348,
0.09117116600003783,
0.09318528500000411,
0.09128707100001066,
0.09316572500000575,
0.09349468299996033,
0.09922415300002285,
0.08205450499997369,
0.08207547500001056,
0.07876371699995843,
0.07884329600000228
]
},
"throughput": {
"unit": "samples/s",
"value": 11.234759343267775
},
"energy": {
"unit": "kWh",
"cpu": 3.084953415384535e-06,
"ram": 1.2899573608645204e-07,
"gpu": 0.0,
"total": 3.2139491514709867e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 311143.69047883403
}
}
}
}