cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+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",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.3504,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "b50afdd89f3c69090dee699e5e398c44916e2d64",
            "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": "1.0.3",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 938.717184,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.0268475160001458,
                "mean": 0.04667488709091572,
                "stdev": 0.0008295324819147543,
                "p50": 0.046700326500001665,
                "p90": 0.04728126889997384,
                "p95": 0.04776467944998899,
                "p99": 0.04836996466000585,
                "values": [
                    0.04779006199999003,
                    0.04655910599996105,
                    0.048524116000010054,
                    0.045006880000016736,
                    0.047282410999969215,
                    0.046658083000011175,
                    0.046541794000006576,
                    0.047270990000015445,
                    0.044565834000025006,
                    0.04719701099998019,
                    0.0468783840000242,
                    0.0469537060000107,
                    0.047242205000031845,
                    0.04695885600000338,
                    0.04627240900003926,
                    0.046742569999992156,
                    0.04726089100000763,
                    0.04640266399997017,
                    0.046063018000040756,
                    0.04650937300004898,
                    0.04601326499999914,
                    0.046153887999992094
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.424797408768214
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5576806598239477e-06,
                "ram": 6.509782120948179e-08,
                "gpu": 0.0,
                "total": 1.6227784810334293e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 616227.0523597114
            }
        }
    }
}