cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json

{
    "config": {
        "name": "cpu_inference_timm_image-classification_timm/resnet50.a1_in1k",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "image-classification",
            "model": "timm/resnet50.a1_in1k",
            "library": "timm",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "hub_kwargs": {
                "revision": "main",
                "force_download": false,
                "local_files_only": false,
                "trust_remote_code": false
            },
            "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": false,
            "device_isolation_action": "error",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.346304,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "217063f5c507ed7cc255df7e1f64c4333a0b4dfe",
            "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": "0.9.16",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 542.4128,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 14,
                "total": 1.0407413739999924,
                "mean": 0.07433866957142803,
                "stdev": 0.004527249734346291,
                "p50": 0.07540283150001414,
                "p90": 0.07789693830000602,
                "p95": 0.07990139650001708,
                "p99": 0.08229181050002068,
                "values": [
                    0.07829246400001466,
                    0.07499348499999314,
                    0.07579183100000364,
                    0.07510052500003894,
                    0.07356071300000622,
                    0.07624884700004486,
                    0.07470385299995996,
                    0.07586771299997963,
                    0.07570513799998935,
                    0.07697404499998584,
                    0.08288941400002159,
                    0.06946526199999425,
                    0.0645372209999664,
                    0.06661086299999397
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 13.45194911026964
            },
            "energy": {
                "unit": "kWh",
                "cpu": 2.5181865526570217e-06,
                "ram": 1.0523944798519481e-07,
                "gpu": 0.0,
                "total": 2.6234260006422166e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 381180.9442138636
            }
        }
    }
}