cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "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": 16757.342208,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.2.1",
            "optimum_benchmark_commit": "8320ce6f24eaa5099bd3b49d8d44c0c1368af14b",
            "transformers_version": "4.42.3",
            "transformers_commit": null,
            "accelerate_version": "0.31.0",
            "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": 939.044864,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 31,
                "total": 1.0170097550001742,
                "mean": 0.0328067662903282,
                "stdev": 0.0012534424279642537,
                "p50": 0.0325503919999619,
                "p90": 0.03432389400001057,
                "p95": 0.035196475000020655,
                "p99": 0.03688595170000326,
                "values": [
                    0.03329010800001697,
                    0.032753242000012506,
                    0.0323538740000231,
                    0.03208663399999523,
                    0.03208828600003244,
                    0.03259089800002357,
                    0.03203295299999809,
                    0.03188997400002336,
                    0.03281402599998273,
                    0.03364345900001808,
                    0.03195632900002465,
                    0.03252420300003678,
                    0.0325503919999619,
                    0.032782827000005454,
                    0.031958463000023585,
                    0.031905854000001455,
                    0.032671144999994794,
                    0.032172424000009414,
                    0.03329541700003347,
                    0.03277426099998593,
                    0.03311885699997674,
                    0.03485286800002996,
                    0.032859260999998696,
                    0.03554008200001135,
                    0.03746275299999979,
                    0.03432389400001057,
                    0.032140733999995064,
                    0.03133081699996865,
                    0.03154250399995817,
                    0.031536683000013,
                    0.03216653300000871
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 30.481516866074397
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.2368307345443303e-06,
                "ram": 5.1688825600493256e-08,
                "gpu": 0.0,
                "total": 1.2885195601448236e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 776084.454540686
            }
        }
    }
}