cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

{
    "config": {
        "name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+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": "warn",
            "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": "d9ffe3b3809e940419695c4a39c0122d5a6e1611",
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 945.270784,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 4.330730559000017,
                "mean": 4.330730559000017,
                "stdev": 0.0,
                "p50": 4.330730559000017,
                "p90": 4.330730559000017,
                "p95": 4.330730559000017,
                "p99": 4.330730559000017,
                "values": [
                    4.330730559000017
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 4.884960324999952e-05,
                "ram": 2.041688554331185e-06,
                "gpu": 0,
                "total": 5.08912918043307e-05
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 952.87296,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 32,
                "total": 1.028296289000025,
                "mean": 0.03213425903125078,
                "stdev": 0.002378911436496726,
                "p50": 0.031378837500000145,
                "p90": 0.03493519030000129,
                "p95": 0.03502676985001472,
                "p99": 0.035203885910012216,
                "values": [
                    0.030750930000010612,
                    0.03307006699998283,
                    0.029947122999999465,
                    0.030315985000015644,
                    0.030509026999993694,
                    0.030434486000046945,
                    0.030266471999993882,
                    0.030261703000007856,
                    0.030211057999963487,
                    0.030592441999999664,
                    0.03200674499998968,
                    0.0349335010000118,
                    0.034853741000006266,
                    0.034944881999990685,
                    0.03493537800000013,
                    0.03460565799997539,
                    0.03441815600001519,
                    0.03445084800000586,
                    0.03512685500004409,
                    0.03468689999999697,
                    0.0352384939999979,
                    0.03426532000003135,
                    0.03472637400000167,
                    0.03483790399997133,
                    0.033235003000015695,
                    0.029022596999993766,
                    0.029019021000010525,
                    0.0293536579999909,
                    0.029032696999991003,
                    0.029239432999986548,
                    0.029323592000025656,
                    0.02968023899995842
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 31.119435460686784
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.138692782222203e-06,
                "ram": 4.758860425110219e-08,
                "gpu": 0.0,
                "total": 1.1862813864733053e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 842970.3200291281
            }
        }
    }
}