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": "0.4.0",
            "optimum_benchmark_commit": "3d7258bc53700ac83eb355d4dbbeac8dec4eb496",
            "transformers_version": "4.43.3",
            "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": "1.0.8",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 970.83392,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.520929884999987,
                "mean": 4.520929884999987,
                "stdev": 0.0,
                "p50": 4.520929884999987,
                "p90": 4.520929884999987,
                "p95": 4.520929884999987,
                "p99": 4.520929884999987,
                "values": [
                    4.520929884999987
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 5.11373241742452e-05,
                "ram": 2.1373157937171073e-06,
                "gpu": 0,
                "total": 5.327463996796231e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 884.46976,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 24,
                "total": 1.0385315240000637,
                "mean": 0.04327214683333599,
                "stdev": 0.0016412554566450422,
                "p50": 0.043987703999988526,
                "p90": 0.04464782860000014,
                "p95": 0.04511595639998234,
                "p99": 0.045539220640003465,
                "values": [
                    0.04519238799997538,
                    0.04450150600001734,
                    0.04303833800003076,
                    0.04456612599994969,
                    0.044288697000013144,
                    0.04453939500001525,
                    0.04399780299996792,
                    0.04303866800000833,
                    0.04218356900003073,
                    0.04449534399998356,
                    0.04440455300004942,
                    0.043977605000009135,
                    0.0440781829999537,
                    0.04279271799998696,
                    0.04468284400002176,
                    0.04376443600000357,
                    0.0442705730000057,
                    0.04564282000001185,
                    0.04144072900004403,
                    0.04037956399997711,
                    0.04035590900002717,
                    0.04001945999999634,
                    0.04025839700000233,
                    0.04262189899998248
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 23.10955367783186
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.5588477982415096e-06,
                "ram": 6.514555614976416e-08,
                "gpu": 0.0,
                "total": 1.6239933543912738e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 615766.0665888826
            }
        }
    }
}