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": "2.3.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "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": {},
            "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": 16757.354496,
            "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": "0.2.1",
            "optimum_benchmark_commit": "48414f58841d7ba7c7fd42d74fd524d1d23c3081",
            "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": 864.530432,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 22,
                "total": 1.0381065239999714,
                "mean": 0.04718666018181688,
                "stdev": 0.0012121760678512874,
                "p50": 0.0473191879999888,
                "p90": 0.04833609240000101,
                "p95": 0.048983655149997675,
                "p99": 0.04938272037000701,
                "values": [
                    0.04807448799999747,
                    0.04636951500000919,
                    0.04830917699999304,
                    0.044965822999984084,
                    0.04776284599998348,
                    0.04901757999999745,
                    0.04605760199999054,
                    0.048240128000003324,
                    0.0456142849999992,
                    0.04735272099998156,
                    0.0471690679999881,
                    0.046832960000017465,
                    0.047517387999988614,
                    0.04566629100000341,
                    0.04626868700000841,
                    0.04496138499999347,
                    0.047110278000019434,
                    0.0482236969999974,
                    0.04833908300000189,
                    0.04728565499999604,
                    0.04947978300000955,
                    0.04748808400000826
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 21.19243015180262
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.586569839053684e-06,
                "ram": 6.630411546144614e-08,
                "gpu": 0.0,
                "total": 1.6528739545151303e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 605006.810875273
            }
        }
    }
}