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": "warn",
            "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": "ea76e356b5c355783ee27d2d429a010ded791f8b",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.0",
            "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": 945.487872,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.361496553999984,
                "mean": 4.361496553999984,
                "stdev": 0.0,
                "p50": 4.361496553999984,
                "p90": 4.361496553999984,
                "p95": 4.361496553999984,
                "p99": 4.361496553999984,
                "values": [
                    4.361496553999984
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.773713392777824e-05,
                "ram": 1.9951812499026055e-06,
                "gpu": 0,
                "total": 4.973231517768084e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 953.483264,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 28,
                "total": 1.010719685999959,
                "mean": 0.036097131642855676,
                "stdev": 0.0008808251940908986,
                "p50": 0.036241125999993073,
                "p90": 0.03711308019997546,
                "p95": 0.03741513789998976,
                "p99": 0.03794573840000225,
                "values": [
                    0.03704996199996913,
                    0.03656871000004003,
                    0.03524177200000622,
                    0.035132558000043446,
                    0.03811116200000697,
                    0.03623062599996274,
                    0.03662069599999995,
                    0.03628634000000375,
                    0.03484616100001858,
                    0.03436644099997466,
                    0.035548066999979255,
                    0.037260355999990225,
                    0.0365541929999722,
                    0.03616410099999712,
                    0.03612075000000914,
                    0.034846702000038476,
                    0.03749848199998951,
                    0.035477936000006594,
                    0.03665406999999732,
                    0.03625162600002341,
                    0.03598848199999338,
                    0.035800689999973656,
                    0.03436845499999208,
                    0.03670832199998131,
                    0.03639344099997288,
                    0.0363394610000114,
                    0.035783607999974265,
                    0.0365065160000313
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 27.703032193637455
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.2043607309764144e-06,
                "ram": 5.0332450615973994e-08,
                "gpu": 0.0,
                "total": 1.2546931815923883e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 797007.5988863304
            }
        }
    }
}