{
 "query": {
  "task": "medical segmentation"
 },
 "task": "medical segmentation",
 "size_class": "mid-size CNN",
 "batch": "unknown",
 "mixed": false,
 "mixed_warning": null,
 "groups": [
  {
   "size": "mid-size CNN",
   "batch": "unknown",
   "platforms": 4,
   "rows": 6
  }
 ],
 "notes": [],
 "count": 4,
 "results": [
  {
   "platform": "Lenovo ThinkEdge SE455i V3 (2x NVIDIA L4-PCIe-24GB)",
   "platform_url": "/platform/lenovo-thinkedge-se455i-v3-2x-nvidia-l4-pcie-24gb.html",
   "perf": 2.18794,
   "perf_unit": "FPS",
   "metric": "throughput_offline",
   "model": "MLPerf 3d-unet-99",
   "precision": "int8",
   "stack": "TensorRT 10.8, CUDA 13.1",
   "size_class": "mid-size CNN",
   "batch": "unknown",
   "like_for_like": true,
   "differs": [],
   "confidence": "A",
   "confidence_label": "A – audited (MLPerf closed)",
   "power_w": null,
   "power_label": "no power published",
   "power_kind": "unknown",
   "perf_per_w": null,
   "date": "2026-04-01 (published)",
   "older_than_18_months": false,
   "superseded": false,
   "power_basis": "unknown",
   "price_usd": null,
   "price_label": "unknown",
   "price_date": null,
   "price_launch_usd": null,
   "edge": true,
   "date_basis": "published",
   "form_factor": "edge server / PC",
   "vendor": "Lenovo",
   "source": {
    "name": "MLPerf Inference v6.0 (closed, edge) ID 6.0-0068",
    "url": "https://github.com/mlcommons/submissions_inference_v6.0/tree/main/closed/Lenovo/results/SE455I_V3_TRT",
    "date": null
   },
   "power_source": null,
   "price_source": null,
   "fit": {
    "perf": null,
    "power": null,
    "budget": null
   },
   "meets_all": true,
   "unknowns": 0,
   "eligible": true,
   "headroom": null,
   "rank_score": 1,
   "unknown_badges": [
    "power unknown",
    "perf/W unknown",
    "price unknown"
   ],
   "evidence_tier": 1
  },
  {
   "platform": "NVIDIA Jetson AGX Orin 64GB",
   "platform_url": "/platform/nvidia-jetson-agx-orin-64gb.html",
   "perf": 0.51,
   "perf_unit": "FPS",
   "metric": "throughput_offline",
   "model": "MLPerf 3D-Unet-99.0",
   "precision": "INT8/FP16 (MLPerf closed)",
   "stack": "TensorRT (MLPerf Inference, older round)",
   "size_class": "mid-size CNN",
   "batch": "unknown",
   "like_for_like": true,
   "differs": [],
   "confidence": "D",
   "confidence_label": "D – vendor-published",
   "power_w": 65,
   "power_label": "platform spec envelope (not measured with this result)",
   "power_kind": "spec",
   "perf_per_w": 0.007846,
   "date": "2023-09-08 (published)",
   "older_than_18_months": true,
   "superseded": true,
   "power_basis": "max TDP per OpenNav report / mypcrig price",
   "price_usd": 3499,
   "price_label": "NVIDIA marketplace list price (US), Jetson AGX Orin Developer Kit (64GB), 2026-10-16",
   "price_date": "2026-10-16",
   "price_launch_usd": 1999,
   "edge": true,
   "date_basis": "published",
   "form_factor": "edge module",
   "vendor": "NVIDIA",
   "source": {
    "name": "NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)",
    "url": "https://developer.nvidia.com/embedded/jetson-benchmarks",
    "date": "2026-10 (page)"
   },
   "power_source": "https://opennav.org/news/opennav-robotics-workload-benchmark/",
   "price_source": "https://marketplace.nvidia.com/en-us/enterprise/robotics-edge/jetson-agx-orin-developer-kit/",
   "fit": {
    "perf": null,
    "power": null,
    "budget": null
   },
   "meets_all": true,
   "unknowns": 0,
   "eligible": true,
   "headroom": null,
   "rank_score": 0.5716,
   "unknown_badges": [],
   "evidence_tier": 0
  },
  {
   "platform": "NVIDIA Jetson Orin NX 16GB (MaxQ)",
   "platform_url": "/platform/nvidia-jetson-orin-nx-16gb-maxq.html",
   "perf": 0.19,
   "perf_unit": "FPS",
   "metric": "throughput_offline",
   "model": "MLPerf 3D-Unet-99.0",
   "precision": "INT8/FP16 (MLPerf closed)",
   "stack": "TensorRT (MLPerf Inference, older round)",
   "size_class": "mid-size CNN",
   "batch": "unknown",
   "like_for_like": true,
   "differs": [],
   "confidence": "D",
   "confidence_label": "D – vendor-published",
   "power_w": 22.04,
   "power_label": "reported in result source — measured",
   "power_kind": "measured",
   "perf_per_w": 0.008621,
   "date": "2023-09-08 (published)",
   "older_than_18_months": true,
   "superseded": false,
   "power_basis": "system power (MLPerf Power, as reported by NVIDIA)",
   "price_usd": null,
   "price_label": "unknown",
   "price_date": null,
   "price_launch_usd": null,
   "edge": true,
   "date_basis": "published",
   "form_factor": "edge module",
   "vendor": "NVIDIA",
   "source": {
    "name": "NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)",
    "url": "https://developer.nvidia.com/embedded/jetson-benchmarks",
    "date": "2026-10 (page)"
   },
   "power_source": "https://developer.nvidia.com/embedded/jetson-benchmarks",
   "price_source": null,
   "fit": {
    "perf": null,
    "power": null,
    "budget": null
   },
   "meets_all": true,
   "unknowns": 0,
   "eligible": true,
   "headroom": null,
   "rank_score": 0.5434,
   "unknown_badges": [
    "price unknown"
   ],
   "evidence_tier": 0
  },
  {
   "platform": "NVIDIA Jetson Orin NX 16GB",
   "platform_url": "/platform/nvidia-jetson-orin-nx-16gb.html",
   "perf": 0.2,
   "perf_unit": "FPS",
   "metric": "throughput_offline",
   "model": "MLPerf 3D-Unet-99.0",
   "precision": "INT8/FP16 (MLPerf closed)",
   "stack": "TensorRT (MLPerf Inference, older round)",
   "size_class": "mid-size CNN",
   "batch": "unknown",
   "like_for_like": true,
   "differs": [],
   "confidence": "D",
   "confidence_label": "D – vendor-published",
   "power_w": null,
   "power_label": "no power published",
   "power_kind": "unknown",
   "perf_per_w": null,
   "date": "2023-09-08 (published)",
   "older_than_18_months": true,
   "superseded": false,
   "power_basis": "unknown",
   "price_usd": null,
   "price_label": "unknown",
   "price_date": null,
   "price_launch_usd": null,
   "edge": true,
   "date_basis": "published",
   "form_factor": "edge module",
   "vendor": "NVIDIA",
   "source": {
    "name": "NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)",
    "url": "https://developer.nvidia.com/embedded/jetson-benchmarks",
    "date": "2026-10 (page)"
   },
   "power_source": null,
   "price_source": null,
   "fit": {
    "perf": null,
    "power": null,
    "budget": null
   },
   "meets_all": true,
   "unknowns": 0,
   "eligible": true,
   "headroom": null,
   "rank_score": 0.0914,
   "unknown_badges": [
    "power unknown",
    "perf/W unknown",
    "price unknown"
   ],
   "evidence_tier": 0
  }
 ],
 "no_data": null,
 "legend": "Confidence: A audited MLPerf closed, B documented third-party, C community, D vendor-published, E estimate. Unknown is never assumed."
}