cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4/benchmark.json

{
    "config": {
        "name": "cuda_inference_diffusers_text-to-image_CompVis/stable-diffusion-v1-4",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+cu124",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-to-image",
            "library": "diffusers",
            "model_type": "stable-diffusion",
            "model": "CompVis/stable-diffusion-v1-4",
            "processor": "CompVis/stable-diffusion-v1-4",
            "device": "cuda",
            "device_ids": "0",
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": false,
            "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": 2,
                "sequence_length": 16,
                "num_choices": 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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.248768,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.227-219.884.amzn2.x86_64-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "NVIDIA A10G"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 24146608128,
            "optimum_benchmark_version": "0.5.0.dev0",
            "optimum_benchmark_commit": null,
            "transformers_version": "4.46.3",
            "transformers_commit": null,
            "accelerate_version": "1.1.1",
            "accelerate_commit": null,
            "diffusers_version": "0.31.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.11",
            "timm_commit": null,
            "peft_version": "0.13.2",
            "peft_commit": null
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 4256.17408,
                "max_global_vram": 6165.102592,
                "max_process_vram": 0.0,
                "max_reserved": 5572.132864,
                "max_allocated": 5512.962048
            },
            "latency": {
                "unit": "s",
                "values": [
                    82.56565625
                ],
                "count": 1,
                "total": 82.56565625,
                "mean": 82.56565625,
                "p50": 82.56565625,
                "p90": 82.56565625,
                "p95": 82.56565625,
                "p99": 82.56565625,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "call": {
            "memory": {
                "unit": "MB",
                "max_ram": 1494.695936,
                "max_global_vram": 9306.636288,
                "max_process_vram": 0.0,
                "max_reserved": 8654.946304,
                "max_allocated": 7542.2464
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.2119398193359374
                ],
                "count": 1,
                "total": 1.2119398193359374,
                "mean": 1.2119398193359374,
                "p50": 1.2119398193359374,
                "p90": 1.2119398193359374,
                "p95": 1.2119398193359374,
                "p99": 1.2119398193359374,
                "stdev": 0,
                "stdev_": 0
            },
            "throughput": {
                "unit": "images/s",
                "value": 1.6502469578859678
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.4393037816667391e-05,
                "ram": 7.868117168265082e-06,
                "gpu": 8.20661767639997e-05,
                "total": 0.00010432733174893218
            },
            "efficiency": {
                "unit": "images/kWh",
                "value": 19170.43181755169
            }
        }
    }
}