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Add 14 RTX 3090 PyTorch submissions for libreyolo v1.1.1 #9

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Add 14 RTX 3090 PyTorch submissions for libreyolo v1.1.1 #9

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1,588 changes: 1,564 additions & 24 deletions generated/verified-results.v1.json
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108 changes: 108 additions & 0 deletions submissions/rfdetr-l__pytorch__cuda__rtx3090__20260510T143650513322Z.json
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{
"schema_version": "va.submission.v1",
"submission_id": "rfdetr-l-pytorch-cuda-rtx3090-20260510T143650Z",
"created_at": "2026-05-10T14:36:50.513322Z",
"benchmark": {
"harness": "vision-analysis-benchmark",
"harness_version": "2.0.0",
"libreyolo_version": "1.1.1",
"libreyolo_commit": "7abd8d43bf817d46cae700470d815cb66be2d39d"
},
"model": {
"id": "rfdetr-l",
"name": "rf-detr-l",
"family": "rfdetr",
"variant": "l",
"source": "libreyolo",
"weights": "LibreRFDETRl.pt",
"input_size": 704
},
"dataset": {
"id": "coco2017",
"split": "val2017",
"num_images": 5000
},
"config": {
"batch_size": 1,
"input_size": 704,
"conf": 0.001,
"iou": 0.6,
"max_det": 300
},
"hardware": {
"gpu": "NVIDIA GeForce RTX 3090",
"gpu_memory_gb": 24.0,
"driver_version": "580.126.09",
"cuda_version": "12.4",
"cpu": "AMD Ryzen 9 5950X 16-Core Processor",
"cpu_cores": 32,
"ram_gb": 62,
"id": "rtx3090"
},
"software": {
"python": "3.12.3",
"torch": "2.6.0+cu124",
"libreyolo": "1.1.1",
"libreyolo_commit": "7abd8d43bf817d46cae700470d815cb66be2d39d",
"onnxruntime": "not-installed"
},
"accuracy": {
"mAP_50_95": 0.5654325849872309,
"mAP_50": 0.7519430476108983,
"mAP_75": 0.6125426554365846,
"mAP_small": 0.38877815010864586,
"mAP_medium": 0.6110286133472622,
"mAP_large": 0.7401612373454165,
"AR1": 0.4094367831659032,
"AR10": 0.6806718562404028,
"AR100": 0.7424374850580618,
"AR_small": 0.5718708910028346,
"AR_medium": 0.7949837079594275,
"AR_large": 0.9116441319254203
},
"timing": {
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"p50": 20.264,
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}
},
"throughput": {
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},
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},
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},
"metadata": {
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},
"eval": {
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},
"implementation": {
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"version": "1.1.1"
},
"runtime": {
"format": "pytorch",
"precision": "fp32",
"provider": "cuda",
"device": "gpu"
}
}
108 changes: 108 additions & 0 deletions submissions/rfdetr-m__pytorch__cuda__rtx3090__20260510T143905209698Z.json
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{
"schema_version": "va.submission.v1",
"submission_id": "rfdetr-m-pytorch-cuda-rtx3090-20260510T143905Z",
"created_at": "2026-05-10T14:39:05.209698Z",
"benchmark": {
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"libreyolo_version": "1.1.1",
"libreyolo_commit": "7abd8d43bf817d46cae700470d815cb66be2d39d"
},
"model": {
"id": "rfdetr-m",
"name": "rf-detr-m",
"family": "rfdetr",
"variant": "m",
"source": "libreyolo",
"weights": "LibreRFDETRm.pt",
"input_size": 576
},
"dataset": {
"id": "coco2017",
"split": "val2017",
"num_images": 5000
},
"config": {
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"conf": 0.001,
"iou": 0.6,
"max_det": 300
},
"hardware": {
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"cuda_version": "12.4",
"cpu": "AMD Ryzen 9 5950X 16-Core Processor",
"cpu_cores": 32,
"ram_gb": 62,
"id": "rtx3090"
},
"software": {
"python": "3.12.3",
"torch": "2.6.0+cu124",
"libreyolo": "1.1.1",
"libreyolo_commit": "7abd8d43bf817d46cae700470d815cb66be2d39d",
"onnxruntime": "not-installed"
},
"accuracy": {
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"mAP_75": 0.59187655281425,
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},
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"metadata": {
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"provider": "cuda",
"device": "gpu"
}
}
108 changes: 108 additions & 0 deletions submissions/rfdetr-n__pytorch__cuda__rtx3090__20260510T144105116295Z.json
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{
"schema_version": "va.submission.v1",
"submission_id": "rfdetr-n-pytorch-cuda-rtx3090-20260510T144105Z",
"created_at": "2026-05-10T14:41:05.116295Z",
"benchmark": {
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"libreyolo_version": "1.1.1",
"libreyolo_commit": "7abd8d43bf817d46cae700470d815cb66be2d39d"
},
"model": {
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"name": "rf-detr-n",
"family": "rfdetr",
"variant": "n",
"source": "libreyolo",
"weights": "LibreRFDETRn.pt",
"input_size": 384
},
"dataset": {
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"split": "val2017",
"num_images": 5000
},
"config": {
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"conf": 0.001,
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"id": "rtx3090"
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"torch": "2.6.0+cu124",
"libreyolo": "1.1.1",
"libreyolo_commit": "7abd8d43bf817d46cae700470d815cb66be2d39d",
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"timing": {
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"num_images": 5000,
"total_ms": {
"mean": 11.318,
"std": 9.558,
"p50": 11.001,
"p95": 11.974,
"p99": 12.99,
"preprocess_ms": 1.231,
"inference_ms": 9.196,
"postprocess_ms": 0.891
}
},
"throughput": {
"fps_mean": 88.35,
"fps_p50": 90.9
},
"model_stats": {
"params_millions": 30.47,
"gflops": 0.0
},
"memory": {
"peak_vram_mb": 152.1,
"peak_ram_mb": 0.0
},
"metadata": {
"benchmark_date": "2026-05-10T14:41:05.116295Z",
"benchmark_version": "2.0.0"
},
"eval": {
"dataset": "coco",
"split": "val2017",
"numImages": 5000
},
"implementation": {
"provider": "libreyolo",
"version": "1.1.1"
},
"runtime": {
"format": "pytorch",
"precision": "fp32",
"provider": "cuda",
"device": "gpu"
}
}
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