cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "model": "google-bert/bert-base-uncased",
            "processor": "google-bert/bert-base-uncased",
            "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": "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-6.5.0-1024-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "d3c098f7db730a120ce09e9c390325447583d3b3",
            "transformers_version": "4.43.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "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": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 970.407936,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.325814400000013,
                "mean": 4.325814400000013,
                "stdev": 0.0,
                "p50": 4.325814400000013,
                "p90": 4.325814400000013,
                "p95": 4.325814400000013,
                "p99": 4.325814400000013,
                "values": [
                    4.325814400000013
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.0249879890018044e-05,
                "ram": 2.100218258146924e-06,
                "gpu": 0,
                "total": 5.235009814816497e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 884.105216,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 28,
                "total": 1.0352424999999243,
                "mean": 0.03697294642856873,
                "stdev": 0.0009480092459805508,
                "p50": 0.036832300499980875,
                "p90": 0.03725569119998227,
                "p95": 0.038055592999958775,
                "p99": 0.040472780239995246,
                "values": [
                    0.03727574899994579,
                    0.0367702750000376,
                    0.03663788700004034,
                    0.03702870699999039,
                    0.03708091499999,
                    0.036809537999999975,
                    0.03714623700000175,
                    0.0366363750000005,
                    0.03693414100001746,
                    0.036855062999961774,
                    0.036985667999999805,
                    0.037163108000015654,
                    0.03695120200001156,
                    0.036761538000007477,
                    0.03673563000000968,
                    0.03686758800000689,
                    0.03648080400000708,
                    0.0372470949999979,
                    0.03847550899996577,
                    0.03677778799999487,
                    0.03679719499996281,
                    0.03685750800002552,
                    0.036303923999980725,
                    0.03673713300003101,
                    0.04121149700000615,
                    0.035980028999972546,
                    0.03594773899999382,
                    0.03578665799994951
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 27.046803043733274
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4014393091201783e-06,
                "ram": 5.856817495900454e-08,
                "gpu": 0.0,
                "total": 1.4600074840791828e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 684927.9958524962
            }
        }
    }
}