cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "library": "transformers",
            "model_type": "roberta",
            "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": {},
            "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-6.5.0-1025-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": "6ad94507b5a05ceef8e5c33b1b3e8110ab062b31",
            "transformers_version": "4.44.0",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.0",
            "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": 945.512448,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.310923606000017,
                "mean": 4.310923606000017,
                "stdev": 0.0,
                "p50": 4.310923606000017,
                "p90": 4.310923606000017,
                "p95": 4.310923606000017,
                "p99": 4.310923606000017,
                "values": [
                    4.310923606000017
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.84865573888887e-05,
                "ram": 2.0264287646932502e-06,
                "gpu": 0,
                "total": 5.051298615358195e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 953.638912,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 29,
                "total": 1.0208739469999841,
                "mean": 0.03520254989655118,
                "stdev": 0.0007069044729570828,
                "p50": 0.03528568000001542,
                "p90": 0.035925828799986445,
                "p95": 0.03613196900003004,
                "p99": 0.03665270260002671,
                "values": [
                    0.03528902499999731,
                    0.03536090100004685,
                    0.034985274000007394,
                    0.03369053599999461,
                    0.035228742000015245,
                    0.03684059800002615,
                    0.035548723999966114,
                    0.03528568000001542,
                    0.035293854999963514,
                    0.03455763799996703,
                    0.033526196000025266,
                    0.035173227999962364,
                    0.03616954300002817,
                    0.03560260599999765,
                    0.03541811899998493,
                    0.03553068999997322,
                    0.03462910299998612,
                    0.03555387400001564,
                    0.03588838399997485,
                    0.03486825300001328,
                    0.035240393999970365,
                    0.0351621259999888,
                    0.034891537000021344,
                    0.03415831600000274,
                    0.034232156999962626,
                    0.03584826100001237,
                    0.03585791000000427,
                    0.036075608000032844,
                    0.03496666900002765
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 28.40703309671243
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.219262775694426e-06,
                "ram": 5.095484505323306e-08,
                "gpu": 0.0,
                "total": 1.2702176207476591e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 787266.6727858749
            }
        }
    }
}