cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "library": "transformers",
            "model_type": "roberta",
            "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": {},
            "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,
            "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": "0.4.0",
            "optimum_benchmark_commit": "39ca491b78042552094f1505a2e66a0a588b62e8",
            "transformers_version": "4.44.2",
            "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": 941.559808,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.291194516999951,
                "mean": 4.291194516999951,
                "stdev": 0.0,
                "p50": 4.291194516999951,
                "p90": 4.291194516999951,
                "p95": 4.291194516999951,
                "p99": 4.291194516999951,
                "values": [
                    4.291194516999951
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.916319508333263e-05,
                "ram": 2.055956209448161e-06,
                "gpu": 0,
                "total": 5.121915129278079e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 950.21056,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 29,
                "total": 1.0226614100002394,
                "mean": 0.03526418655173239,
                "stdev": 0.001187447604881459,
                "p50": 0.03526606500003027,
                "p90": 0.036585038800035365,
                "p95": 0.036675742600004925,
                "p99": 0.036938372759987036,
                "values": [
                    0.03550071099999741,
                    0.03529920599999059,
                    0.03661055800000668,
                    0.03325723400001834,
                    0.03702360699998053,
                    0.035326958000041486,
                    0.03513378899998543,
                    0.03509967500002631,
                    0.03621779600001673,
                    0.0343192619999968,
                    0.03447951000003968,
                    0.036719199000003755,
                    0.03524921299998596,
                    0.03482490300001473,
                    0.0352416489999996,
                    0.03504295900000898,
                    0.035219587000028696,
                    0.0351247720000174,
                    0.03526606500003027,
                    0.03575560599995242,
                    0.035666139999989355,
                    0.035427856000012525,
                    0.034712433999970926,
                    0.035651543000028596,
                    0.03607285700002194,
                    0.036578659000042535,
                    0.03634662600001093,
                    0.03497535299999299,
                    0.030517683000027773
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 28.357381745726784
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1824908513467919e-06,
                "ram": 4.94463576429536e-08,
                "gpu": 0.0,
                "total": 1.2319372089897456e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 811729.6828951644
            }
        }
    }
}