cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "library": "transformers",
            "model": "FacebookAI/roberta-base",
            "processor": "FacebookAI/roberta-base",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "hub_kwargs": {},
            "no_weights": true,
            "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",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.338112,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "50da7b73412b5fcfdb3831f32e0f2c5b8acaf7cf",
            "transformers_version": "4.42.3",
            "transformers_commit": null,
            "accelerate_version": "0.32.1",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 944.050176,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 27,
                "total": 1.0370580829999199,
                "mean": 0.03840955862962666,
                "stdev": 0.0011961263415751992,
                "p50": 0.03818323900000564,
                "p90": 0.039068168799997235,
                "p95": 0.04038487190000808,
                "p99": 0.04267542652000031,
                "values": [
                    0.038746060999983456,
                    0.03839107200002445,
                    0.03838606200000072,
                    0.038361575999999786,
                    0.03868244099999174,
                    0.038506819999980735,
                    0.03832324300000778,
                    0.03866820499999335,
                    0.038941749999992226,
                    0.03925779700000476,
                    0.03845991099998969,
                    0.03818323900000564,
                    0.03802958999997941,
                    0.03794215400000667,
                    0.043310501999997086,
                    0.0408679040000095,
                    0.037612151999979915,
                    0.037402585999984694,
                    0.03773981300000173,
                    0.037985825999982126,
                    0.0377236019999998,
                    0.037744472000014184,
                    0.03746149799999898,
                    0.03760681200000704,
                    0.03741033099998958,
                    0.03770844699999998,
                    0.03760421699999483
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 26.0351859192848
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4719451405874496e-06,
                "ram": 6.151547720944732e-08,
                "gpu": 0.0,
                "total": 1.533460617796897e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 652119.7795328366
            }
        }
    }
}