IlyasMoutawwakil's picture
Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
904a2b2 verified
raw
history blame
6.33 kB
{
"config": {
"name": "cpu_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "f8984237ed319b3e2359229f9a715248aa496ad5",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"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": 528.60928,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 3.3458915940000225,
"mean": 3.3458915940000225,
"stdev": 0.0,
"p50": 3.3458915940000225,
"p90": 3.3458915940000225,
"p95": 3.3458915940000225,
"p99": 3.3458915940000225,
"values": [
3.3458915940000225
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.92266897222199e-06,
"ram": 4.143477344945644e-07,
"gpu": 0,
"total": 1.0337016706716556e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 556.883968,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 12,
"total": 1.0097444529999393,
"mean": 0.08414537108332827,
"stdev": 0.0036005601620723365,
"p50": 0.08404577799998947,
"p90": 0.08808461209999904,
"p95": 0.08991012884998781,
"p99": 0.0914566113699766,
"values": [
0.08323529199998347,
0.08588962999999694,
0.08379578700004231,
0.0842870729999845,
0.08449567200000274,
0.08380448299999443,
0.08454782899997326,
0.08337583299999096,
0.0918432319999738,
0.08832849899999928,
0.07807793500001026,
0.07806318799998735
]
},
"throughput": {
"unit": "samples/s",
"value": 11.884195020183707
},
"energy": {
"unit": "kWh",
"cpu": 3.077833494017027e-06,
"ram": 1.2862890088817902e-07,
"gpu": 0.0,
"total": 3.2064623949052058e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 311870.17867071024
}
}
}
}