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": 16757.338112,
            "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": "c31e63ddb94c29460ba90ff599147e94ff80543a",
            "transformers_version": "4.42.4",
            "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": 942.718976,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 31,
                "total": 1.0227206860000138,
                "mean": 0.032990989870968185,
                "stdev": 0.0025908869438266294,
                "p50": 0.034432666999975936,
                "p90": 0.035644177999984095,
                "p95": 0.035999488499982135,
                "p99": 0.03616156499999192,
                "values": [
                    0.03609458199997562,
                    0.03513015400000086,
                    0.03438216199998578,
                    0.035298320000038075,
                    0.0350412980000101,
                    0.03509700199998633,
                    0.033422271000006276,
                    0.035271428999976706,
                    0.03493711299995539,
                    0.034432666999975936,
                    0.03452942799998482,
                    0.034969441999976425,
                    0.034770159999993666,
                    0.0348067069999729,
                    0.03415670900000123,
                    0.03619027199999891,
                    0.035904394999988654,
                    0.035644177999984095,
                    0.03464301000002479,
                    0.03167654700001776,
                    0.029601128000024346,
                    0.02939710600003309,
                    0.02959934500000827,
                    0.029657233000023098,
                    0.02938054399999146,
                    0.029491292000045632,
                    0.02984006600001976,
                    0.029297618999976294,
                    0.03017155800000637,
                    0.030021406000003026,
                    0.029865543000028083
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 30.3113063267008
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.1670634247898278e-06,
                "ram": 4.87732471530487e-08,
                "gpu": 0.0,
                "total": 1.2158366719428766e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 822478.8929931065
            }
        }
    }
}