{
  "version": "2026-09-07",
  "description": "Normalised edge AI inference benchmark database: one row per hardware × model × runtime × precision × input × power mode, deduplicated with the best-evidenced row kept. Class C rows are measured and published by the source named on the row (Ultralytics, Google Coral, Hailo Model Zoo, NVIDIA-AI-IOT, MLCommons, Jetson AI Lab); class D rows are EdgeAIStack-derived estimates with the derivation stated. Metrics: fps, latency (p50/p99), tokens/s, power, memory, accuracy where published.",
  "last_updated": "2026-09-07",
  "confidence": "medium",
  "evidence_class": "C/D",
  "stats": {
    "rows": 567,
    "by_class": {
      "C": 163,
      "D": 404
    },
    "by_origin": {
      "research_corpus": 118,
      "catalog": 437,
      "p185": 12
    },
    "by_runtime": {
      "edge_tpu": 40,
      "hailo_sdk": 111,
      "tensorrt": 344,
      "mlc": 4,
      "pytorch": 5,
      "unspecified": 8,
      "openvino": 25,
      "cpu": 5,
      "rknn": 25
    },
    "by_precision": {
      "int8": 301,
      "fp16": 202,
      "int4": 4,
      "fp32": 31,
      "unspecified": 8,
      "fp8": 21
    },
    "by_task": {
      "segmentation": 72,
      "classification": 59,
      "detection": 367,
      "pose": 47,
      "text_generation": 8,
      "lidar_detection_3d": 2,
      "speech_recognition": 8,
      "vision_language": 4
    },
    "hardware": 21,
    "families": 49,
    "deduped": 96
  },
  "documents": {
    "ultralytics_jetson": {
      "publisher": "Ultralytics",
      "document": "NVIDIA Jetson guide — YOLO benchmarks",
      "doc_id": "ultralytics:guides/nvidia-jetson",
      "url": "https://docs.ultralytics.com/guides/nvidia-jetson/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "ultralytics_rpi": {
      "publisher": "Ultralytics",
      "document": "Raspberry Pi guide — YOLO benchmarks",
      "doc_id": "ultralytics:guides/raspberry-pi",
      "url": "https://docs.ultralytics.com/guides/raspberry-pi/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "ultralytics_yolov8": {
      "publisher": "Ultralytics",
      "document": "YOLOv8 model page — performance table",
      "doc_id": "ultralytics:models/yolov8",
      "url": "https://docs.ultralytics.com/models/yolov8/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "ultralytics_yolo11": {
      "publisher": "Ultralytics",
      "document": "YOLO11 model page — performance table",
      "doc_id": "ultralytics:models/yolo11",
      "url": "https://docs.ultralytics.com/models/yolo11/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "ultralytics_yolov10": {
      "publisher": "Ultralytics",
      "document": "YOLOv10 model page — performance table",
      "doc_id": "ultralytics:models/yolov10",
      "url": "https://docs.ultralytics.com/models/yolov10/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "ultralytics_rtdetr": {
      "publisher": "Ultralytics",
      "document": "RT-DETR model page — performance table",
      "doc_id": "ultralytics:models/rtdetr",
      "url": "https://docs.ultralytics.com/models/rtdetr/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "coral_benchmarks": {
      "publisher": "Google Coral",
      "document": "Edge TPU benchmarks",
      "doc_id": "coral:docs/edgetpu/benchmarks",
      "url": "https://coral.ai/docs/edgetpu/benchmarks/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "coral_zoo_cls": {
      "publisher": "Google Coral",
      "document": "Model zoo — image classification",
      "doc_id": "coral:models/image-classification",
      "url": "https://coral.ai/models/image-classification/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "coral_zoo_det": {
      "publisher": "Google Coral",
      "document": "Model zoo — object detection",
      "doc_id": "coral:models/object-detection",
      "url": "https://coral.ai/models/object-detection/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "automl_effdet": {
      "publisher": "Google AutoML",
      "document": "EfficientDet repository benchmark table",
      "doc_id": "github:google/automl/efficientdet",
      "url": "https://github.com/google/automl/tree/master/efficientdet",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "hailo8_det": {
      "publisher": "Hailo",
      "document": "Hailo Model Zoo — HAILO8 object detection",
      "doc_id": "github:hailo-ai/hailo_model_zoo/HAILO8_object_detection",
      "url": "https://github.com/hailo-ai/hailo_model_zoo/blob/master/docs/public_models/HAILO8/HAILO8_object_detection.rst",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "hailo8_cls": {
      "publisher": "Hailo",
      "document": "Hailo Model Zoo — HAILO8 classification",
      "doc_id": "github:hailo-ai/hailo_model_zoo/HAILO8_classification",
      "url": "https://github.com/hailo-ai/hailo_model_zoo/blob/master/docs/public_models/HAILO8/HAILO8_classification.rst",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "hailo8l_det": {
      "publisher": "Hailo",
      "document": "Hailo Model Zoo — HAILO8L object detection",
      "doc_id": "github:hailo-ai/hailo_model_zoo/HAILO8L_object_detection",
      "url": "https://github.com/hailo-ai/hailo_model_zoo/blob/master/docs/public_models/HAILO8L/HAILO8L_object_detection.rst",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "hailo8l_cls": {
      "publisher": "Hailo",
      "document": "Hailo Model Zoo — HAILO8L classification",
      "doc_id": "github:hailo-ai/hailo_model_zoo/HAILO8L_classification",
      "url": "https://github.com/hailo-ai/hailo_model_zoo/blob/master/docs/public_models/HAILO8L/HAILO8L_classification.rst",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "hailo_rpi5": {
      "publisher": "Hailo (community examples)",
      "document": "hailo-rpi5-examples benchmark README",
      "doc_id": "github:hailo-ai/hailo-rpi5-examples",
      "url": "https://github.com/hailo-ai/hailo-rpi5-examples",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "nanosam": {
      "publisher": "NVIDIA (NVIDIA-AI-IOT)",
      "document": "nanosam README benchmark table",
      "doc_id": "github:NVIDIA-AI-IOT/nanosam",
      "url": "https://github.com/NVIDIA-AI-IOT/nanosam",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "whisper_trt": {
      "publisher": "NVIDIA (NVIDIA-AI-IOT)",
      "document": "whisper_trt README benchmark table",
      "doc_id": "github:NVIDIA-AI-IOT/whisper_trt",
      "url": "https://github.com/NVIDIA-AI-IOT/whisper_trt",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "mlperf_edge": {
      "publisher": "MLCommons",
      "document": "MLPerf Inference: Edge results",
      "doc_id": "mlcommons:inference-edge",
      "url": "https://mlcommons.org/benchmarks/inference-edge/",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "hailo_sdk": {
      "publisher": "Hailo",
      "document": "Hailo-8 SDK benchmarks (Model Zoo)",
      "doc_id": "github:hailo-ai/hailo_model_zoo",
      "url": "https://github.com/hailo-ai/hailo_model_zoo",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    },
    "corpus": {
      "publisher": "EdgeAIStack",
      "document": "Benchmark corpus — research-derived rows, class D",
      "doc_id": "edgeaistack:benchmark-corpus",
      "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
      "retrieved": "2026-09-07",
      "verified": "2026-09-07"
    }
  },
  "hardware": {
    "coral_tpu": {
      "id": "coral_tpu",
      "label": "Google Coral Edge TPU",
      "in_catalog": true,
      "rows": 40
    },
    "hailo_10h": {
      "id": "hailo_10h",
      "label": "Hailo-10H",
      "in_catalog": true,
      "rows": 26
    },
    "hailo_8": {
      "id": "hailo_8",
      "label": "Hailo-8",
      "in_catalog": true,
      "rows": 46
    },
    "hailo_8l": {
      "id": "hailo_8l",
      "label": "Hailo-8L",
      "in_catalog": true,
      "rows": 39
    },
    "jetson_agx_orin": {
      "id": "jetson_agx_orin",
      "label": "Jetson AGX Orin 64GB",
      "in_catalog": true,
      "rows": 63
    },
    "jetson_agx_orin_32gb": {
      "id": "jetson_agx_orin_32gb",
      "label": "Jetson AGX Orin 32GB",
      "in_catalog": true,
      "rows": 15
    },
    "jetson_orin_nano": {
      "id": "jetson_orin_nano",
      "label": "Jetson Orin Nano 8GB",
      "in_catalog": true,
      "rows": 20
    },
    "jetson_orin_nano_super": {
      "id": "jetson_orin_nano_super",
      "label": "Jetson Orin Nano Super",
      "in_catalog": true,
      "rows": 58
    },
    "jetson_orin_nx": {
      "id": "jetson_orin_nx",
      "label": "Jetson Orin NX 16GB",
      "in_catalog": true,
      "rows": 48
    },
    "jetson_orin_nx_8gb": {
      "id": "jetson_orin_nx_8gb",
      "label": "Jetson Orin NX 8GB",
      "in_catalog": true,
      "rows": 11
    },
    "jetson_thor_t5000": {
      "id": "jetson_thor_t5000",
      "label": "Jetson Thor T5000",
      "in_catalog": true,
      "rows": 90
    },
    "neousys_nuvo9531": {
      "id": "neousys_nuvo9531",
      "label": "Neousys Nuvo-9531 (Intel 12th-14th Gen Core)",
      "in_catalog": true,
      "rows": 25
    },
    "nvidia_a100": {
      "id": "nvidia_a100",
      "label": "NVIDIA A100 (server)",
      "in_catalog": false,
      "rows": 9
    },
    "nvidia_a10_server": {
      "id": "nvidia_a10_server",
      "label": "NVIDIA A10 (24GB)",
      "in_catalog": true,
      "rows": 7
    },
    "nvidia_a2_server": {
      "id": "nvidia_a2_server",
      "label": "NVIDIA A2 (16GB)",
      "in_catalog": true,
      "rows": 5
    },
    "nvidia_l40s_server": {
      "id": "nvidia_l40s_server",
      "label": "NVIDIA L40S (48GB)",
      "in_catalog": true,
      "rows": 4
    },
    "nvidia_l4_server": {
      "id": "nvidia_l4_server",
      "label": "NVIDIA L4 (24GB)",
      "in_catalog": true,
      "rows": 9
    },
    "nvidia_t4": {
      "id": "nvidia_t4",
      "label": "NVIDIA T4 (server)",
      "in_catalog": false,
      "rows": 17
    },
    "nvidia_v100": {
      "id": "nvidia_v100",
      "label": "NVIDIA V100 (server)",
      "in_catalog": false,
      "rows": 5
    },
    "raspberry_pi_5": {
      "id": "raspberry_pi_5",
      "label": "Raspberry Pi 5 (CPU)",
      "in_catalog": false,
      "rows": 5
    },
    "rk3588_npu": {
      "id": "rk3588_npu",
      "label": "Rockchip RK3588 NPU",
      "in_catalog": true,
      "rows": 25
    }
  },
  "schema": {
    "rows[]": "{ id, key, origin (catalog | research_corpus | p185), hardware, power_mode, software {name, version}, model {family, series, variant, task}, input {resolution, batch}, runtime, runtime_inferred, precision, accelerator (gpu | igpu | npu | tpu | cpu), scope (inference_only | end_to_end), metrics {fps, latency_ms, latency_p99_ms, tokens_per_s, power_w, memory_mb, accuracy_map50_95}, class (C | D), confidence, date, derivation, notes, sources[], duplicates[] }",
    "class": "C = measured and published by the source named in sources[]; D = EdgeAIStack model (derivation states the scaling used)",
    "duplicates[]": "other rows that described the same configuration before deduplication, with their origin, class, value and source id"
  },
  "rows": [
    {
      "id": "b0551-coral-tpu-deeplab-v3-edge-tpu-int8",
      "origin": "research_corpus",
      "record_id": "coral-deeplab-v3-tpu-int8-159",
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      "power_mode": "m2",
      "software": null,
      "model": {
        "family": "deeplab",
        "series": "deeplab",
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        "task": "segmentation"
      },
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        "batch": 1
      },
      "runtime": "edge_tpu",
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      "precision": "int8",
      "accelerator": "tpu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 241,
        "latency_p99_ms": 300,
        "tokens_per_s": null,
        "power_w": 2,
        "memory_mb": null,
        "accuracy_map50_95": null
      },
      "class": "C",
      "confidence": "high",
      "date": "2023-Q1",
      "derivation": null,
      "notes": "Coral Dev Board Edge TPU. DeepLabV3 semantic segmentation. Computationally heavy; partial off-chip execution.",
      "sources": [
        {
          "publisher": "Google Coral",
          "document": "Edge TPU benchmarks",
          "doc_id": "coral:docs/edgetpu/benchmarks",
          "url": "https://coral.ai/docs/edgetpu/benchmarks/",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "C"
        }
      ],
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      "duplicates": []
    },
    {
      "id": "b0329-coral-tpu-densenet-121-edge-tpu-int8",
      "origin": "catalog",
      "hardware": "coral_tpu",
      "power_mode": "usb3",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
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        "memory_mb": null,
        "accuracy_map50_95": null
      },
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      "confidence": "high",
      "date": "2026",
      "derivation": "Coral TPU Extended",
      "notes": null,
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          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "Coral TPU Extended"
        }
      ],
      "key": "coral_tpu|densenet|121|edge_tpu|int8|224x224|1|usb3",
      "duplicates": []
    },
    {
      "id": "b0475-coral-tpu-efficientdet-lite0-edge-tpu-int8",
      "origin": "research_corpus",
      "record_id": "efficientdet-lite0-coral-usb-int8-063",
      "hardware": "coral_tpu",
      "power_mode": "usb3",
      "software": null,
      "model": {
        "family": "efficientdet",
        "series": "efficientdet",
        "variant": "lite0",
        "task": "detection"
      },
      "input": {
        "resolution": "320x320",
        "batch": 1
      },
      "runtime": "edge_tpu",
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      "precision": "int8",
      "accelerator": "tpu",
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      "metrics": {
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        "latency_ms": 37.4,
        "latency_p99_ms": 45,
        "tokens_per_s": null,
        "power_w": 1,
        "memory_mb": null,
        "accuracy_map50_95": 0.304
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      "confidence": "high",
      "date": "2022-Q2",
      "derivation": null,
      "notes": "Coral USB Accelerator on desktop host CPU, EdgeTPU INT8 quantized",
      "sources": [
        {
          "publisher": "Google Coral",
          "document": "Model zoo — object detection",
          "doc_id": "coral:models/object-detection",
          "url": "https://coral.ai/models/object-detection/",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "C"
        }
      ],
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    },
    {
      "id": "b0476-coral-tpu-efficientdet-lite1-edge-tpu-int8",
      "origin": "research_corpus",
      "record_id": "efficientdet-lite1-coral-usb-int8-064",
      "hardware": "coral_tpu",
      "power_mode": "usb3",
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      "model": {
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        "series": "efficientdet",
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      },
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        "accuracy_map50_95": 0.343
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      "derivation": null,
      "notes": "Coral USB Accelerator on desktop host CPU, EdgeTPU INT8 quantized",
      "sources": [
        {
          "publisher": "Google Coral",
          "document": "Model zoo — object detection",
          "doc_id": "coral:models/object-detection",
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          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
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      "duplicates": []
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      "id": "b0477-coral-tpu-efficientdet-lite2-edge-tpu-int8",
      "origin": "research_corpus",
      "record_id": "efficientdet-lite2-coral-usb-int8-065",
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      "software": null,
      "model": {
        "family": "efficientdet",
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      "date": "2022-Q2",
      "derivation": null,
      "notes": "Coral USB Accelerator on desktop host CPU, EdgeTPU INT8 quantized",
      "sources": [
        {
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          "document": "Model zoo — object detection",
          "doc_id": "coral:models/object-detection",
          "url": "https://coral.ai/models/object-detection/",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "C"
        }
      ],
      "key": "coral_tpu|efficientdet|lite2|edge_tpu|int8|448x448|1|usb3",
      "duplicates": []
    },
    {
      "id": "b0478-coral-tpu-efficientdet-lite3-edge-tpu-int8",
      "origin": "research_corpus",
      "record_id": "efficientdet-lite3-coral-usb-int8-066",
      "hardware": "coral_tpu",
      "power_mode": "usb3",
      "software": null,
      "model": {
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        "series": "efficientdet",
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        "task": "detection"
      },
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      },
      "runtime": "edge_tpu",
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      "date": "2022-Q2",
      "derivation": null,
      "notes": "Coral USB Accelerator on desktop host CPU, EdgeTPU INT8 quantized",
      "sources": [
        {
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          "document": "Model zoo — object detection",
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          "retrieved": "2026-09-07",
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      "derivation": "Extended Architecture Benchmarks",
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      "sources": [
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          "publisher": "EdgeAIStack",
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      "accelerator": "gpu",
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      "id": "b0526-jetson-agx-orin-nanosam-resnet18-tensorrt-fp16",
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      "model": {
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      "class": "C",
      "confidence": "high",
      "date": "2024-Q1",
      "derivation": null,
      "notes": "NanoSAM full pipeline 8.1ms on AGX Orin. Image encoder alone: 4.2ms. mIoU=0.706.",
      "sources": [
        {
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      "origin": "research_corpus",
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      "derivation": "Estimated from community reports and NVIDIA developer blog on LiDAR inference on Jetson Orin",
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      "confidence": "medium",
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      "sources": [
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    {
      "id": "b0093-jetson-orin-nx-yolov8-x-tensorrt-fp16",
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      "id": "b0499-jetson-orin-nx-yolov8-seg-n-seg-tensorrt-fp16",
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      "confidence": "medium",
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      "derivation": "Estimated: YOLOv8n-seg ~3% overhead over detection on same platform; YOLO11n-seg T4 ratio applied to Orin NX YOLO11n detection baseline",
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          "class": "D",
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      "derivation": "Estimated from YOLOv9c FLOPs (102.8B) vs YOLO11m (68.0B) applied to YOLO11m Orin NX FP16 (14.48ms)",
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          "class": "D",
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      "runtime": "tensorrt",
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      "accelerator": "gpu",
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      "metrics": {
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      "confidence": "medium",
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      "id": "b0491-jetson-orin-nx-yolov9-t-tensorrt-fp16",
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      "model": {
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          "verified": "2026-09-07",
          "class": "C"
        }
      ],
      "key": "raspberry_pi_5|yolo11|n|cpu|fp32|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0542-raspberry-pi-5-yolo26-n-cpu-fp32",
      "origin": "research_corpus",
      "record_id": "rpi5-yolo26n-onnx-fp32-148",
      "hardware": "raspberry_pi_5",
      "power_mode": "default",
      "software": null,
      "model": {
        "family": "yolo26",
        "series": "yolo26",
        "variant": "n",
        "task": "detection"
      },
      "input": {
        "resolution": "640x640",
        "batch": 1
      },
      "runtime": "cpu",
      "runtime_inferred": true,
      "precision": "fp32",
      "accelerator": "cpu",
      "scope": "inference_only",
      "metrics": {
        "fps": 7.8,
        "latency_ms": 128.4,
        "latency_p99_ms": 160,
        "tokens_per_s": null,
        "power_w": 5,
        "memory_mb": 512,
        "accuracy_map50_95": 0.4798
      },
      "class": "C",
      "confidence": "high",
      "date": "2026-Q1",
      "derivation": null,
      "notes": "ONNX format, FP32, Raspberry Pi 5 (8GB ARM Cortex-A76), CPU only. mAP50-95=0.4798.",
      "sources": [
        {
          "publisher": "Ultralytics",
          "document": "Raspberry Pi guide — YOLO benchmarks",
          "doc_id": "ultralytics:guides/raspberry-pi",
          "url": "https://docs.ultralytics.com/guides/raspberry-pi/",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "C"
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      ],
      "key": "raspberry_pi_5|yolo26|n|cpu|fp32|640x640|1",
      "duplicates": [
        {
          "origin": "research_corpus",
          "class": "C",
          "fps": 14.8,
          "tokens_per_s": null,
          "source": "ultralytics:guides/raspberry-pi"
        },
        {
          "origin": "research_corpus",
          "class": "C",
          "fps": 14.1,
          "tokens_per_s": null,
          "source": "ultralytics:guides/raspberry-pi"
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      ]
    },
    {
      "id": "b0543-raspberry-pi-5-yolo26-s-cpu-fp32",
      "origin": "research_corpus",
      "record_id": "rpi5-yolo26s-onnx-fp32-151",
      "hardware": "raspberry_pi_5",
      "power_mode": "default",
      "software": null,
      "model": {
        "family": "yolo26",
        "series": "yolo26",
        "variant": "s",
        "task": "detection"
      },
      "input": {
        "resolution": "640x640",
        "batch": 1
      },
      "runtime": "cpu",
      "runtime_inferred": true,
      "precision": "fp32",
      "accelerator": "cpu",
      "scope": "inference_only",
      "metrics": {
        "fps": 2.8,
        "latency_ms": 352,
        "latency_p99_ms": 440,
        "tokens_per_s": null,
        "power_w": 6,
        "memory_mb": 1400,
        "accuracy_map50_95": 0.5665
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      "class": "C",
      "confidence": "high",
      "date": "2026-Q1",
      "derivation": null,
      "notes": "ONNX format, FP32, Raspberry Pi 5, CPU only. mAP50-95=0.5665.",
      "sources": [
        {
          "publisher": "Ultralytics",
          "document": "Raspberry Pi guide — YOLO benchmarks",
          "doc_id": "ultralytics:guides/raspberry-pi",
          "url": "https://docs.ultralytics.com/guides/raspberry-pi/",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "C"
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      ],
      "key": "raspberry_pi_5|yolo26|s|cpu|fp32|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0489-raspberry-pi-5-yolov8-n-cpu-fp32",
      "origin": "research_corpus",
      "record_id": "yolov8n-cpu-onnx-fp32-079",
      "hardware": "raspberry_pi_5",
      "power_mode": "default",
      "software": null,
      "model": {
        "family": "yolov8",
        "series": "yolov8",
        "variant": "n",
        "task": "detection"
      },
      "input": {
        "resolution": "640x640",
        "batch": 1
      },
      "runtime": "cpu",
      "runtime_inferred": true,
      "precision": "fp32",
      "accelerator": "cpu",
      "scope": "inference_only",
      "metrics": {
        "fps": 12.4,
        "latency_ms": 80.4,
        "latency_p99_ms": 98,
        "tokens_per_s": null,
        "power_w": 5,
        "memory_mb": 420,
        "accuracy_map50_95": 0.373
      },
      "class": "D",
      "confidence": "medium",
      "date": "2024-Q1",
      "derivation": "Ultralytics YOLOv8 official docs (CPU ONNX column), scaled to RPi5 ARM Cortex-A76",
      "notes": "Ultralytics CPU ONNX baseline is ~80ms on modern x86; RPi5 ARM A76 @ 2.4GHz is roughly similar throughput. Estimated from ONNX runtime reference numbers.",
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "Ultralytics YOLOv8 official docs (CPU ONNX column), scaled to RPi5 ARM Cortex-A76"
        }
      ],
      "key": "raspberry_pi_5|yolov8|n|cpu|fp32|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0490-raspberry-pi-5-yolov8-s-cpu-fp32",
      "origin": "research_corpus",
      "record_id": "yolov8s-cpu-onnx-fp32-080",
      "hardware": "raspberry_pi_5",
      "power_mode": "default",
      "software": null,
      "model": {
        "family": "yolov8",
        "series": "yolov8",
        "variant": "s",
        "task": "detection"
      },
      "input": {
        "resolution": "640x640",
        "batch": 1
      },
      "runtime": "cpu",
      "runtime_inferred": true,
      "precision": "fp32",
      "accelerator": "cpu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 172,
        "latency_p99_ms": 210,
        "tokens_per_s": null,
        "power_w": 5.5,
        "memory_mb": 650,
        "accuracy_map50_95": 0.449
      },
      "class": "D",
      "confidence": "medium",
      "date": "2024-Q1",
      "derivation": "Estimated from Ultralytics CPU ONNX baseline scaled to RPi5 performance",
      "notes": "RPi5 CPU-only, ONNX runtime FP32. Scaled from x86 reference: RPi5 ~1.35x slower than modern x86 laptop for ONNX inference.",
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "Estimated from Ultralytics CPU ONNX baseline scaled to RPi5 performance"
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      ],
      "key": "raspberry_pi_5|yolov8|s|cpu|fp32|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0250-rk3588-npu-deeplabv3-mobilenetv2-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
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      "model": {
        "family": "deeplabv3",
        "series": "deeplabv3",
        "variant": "mobilenetv2",
        "task": "detection"
      },
      "input": {
        "resolution": "640x640",
        "batch": 1
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      "runtime": "rknn",
      "precision": "int8",
      "accelerator": "npu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 29.4,
        "latency_p99_ms": null,
        "tokens_per_s": null,
        "power_w": null,
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        "accuracy_map50_95": null
      },
      "class": "D",
      "confidence": "medium",
      "date": "2026",
      "derivation": "RK3588 Extended Models",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models"
        }
      ],
      "key": "rk3588_npu|deeplabv3|mobilenetv2|rknn|int8|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0241-rk3588-npu-mobilenet-v1-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
      "model": {
        "family": "mobilenet",
        "series": "mobilenet",
        "variant": "v1",
        "task": "detection"
      },
      "input": {
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        "batch": 1
      },
      "runtime": "rknn",
      "precision": "int8",
      "accelerator": "npu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 2.9,
        "latency_p99_ms": null,
        "tokens_per_s": null,
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        "accuracy_map50_95": null
      },
      "class": "D",
      "confidence": "low",
      "date": "2026",
      "derivation": "RK3588 Extended Models (estimated)",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models (estimated)"
        }
      ],
      "key": "rk3588_npu|mobilenet|v1|rknn|int8|224x224|1",
      "duplicates": []
    },
    {
      "id": "b0240-rk3588-npu-mobilenetv2-v2-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
      "model": {
        "family": "mobilenetv2",
        "series": "mobilenetv2",
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        "task": "classification"
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      "input": {
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        "batch": 1
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      "runtime": "rknn",
      "precision": "int8",
      "accelerator": "npu",
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      },
      "class": "D",
      "confidence": "medium",
      "date": "2026",
      "derivation": "RK3588 Extended Models",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models"
        }
      ],
      "key": "rk3588_npu|mobilenetv2|v2|rknn|int8|224x224|1",
      "duplicates": []
    },
    {
      "id": "b0239-rk3588-npu-resnet-50-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
      "model": {
        "family": "resnet",
        "series": "resnet",
        "variant": "50",
        "task": "classification"
      },
      "input": {
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        "batch": 1
      },
      "runtime": "rknn",
      "precision": "int8",
      "accelerator": "npu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 9.6,
        "latency_p99_ms": null,
        "tokens_per_s": null,
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        "memory_mb": null,
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      },
      "class": "D",
      "confidence": "medium",
      "date": "2026",
      "derivation": "RK3588 Extended Models",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models"
        }
      ],
      "key": "rk3588_npu|resnet|50|rknn|int8|224x224|1",
      "duplicates": []
    },
    {
      "id": "b0249-rk3588-npu-retinaface-mobile-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
      "model": {
        "family": "retinaface",
        "series": "retinaface",
        "variant": "mobile",
        "task": "detection"
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      "input": {
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        "batch": 1
      },
      "runtime": "rknn",
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      "accelerator": "npu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 4.4,
        "latency_p99_ms": null,
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      },
      "class": "D",
      "confidence": "medium",
      "date": "2026",
      "derivation": "RK3588 Extended Models",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models"
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      ],
      "key": "rk3588_npu|retinaface|mobile|rknn|int8|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0242-rk3588-npu-ssd-mobilenet-v1-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
      "model": {
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        "series": "ssd_mobilenet",
        "variant": "v1",
        "task": "detection"
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      "input": {
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        "batch": 1
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      "scope": "inference_only",
      "metrics": {
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      },
      "class": "D",
      "confidence": "low",
      "date": "2026",
      "derivation": "RK3588 Extended Models (estimated)",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models (estimated)"
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      ],
      "key": "rk3588_npu|ssd_mobilenet|v1|rknn|int8|300x300|1",
      "duplicates": []
    },
    {
      "id": "b0061-rk3588-npu-yolo11-l-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
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        "version": "v1"
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        "task": "detection"
      },
      "input": {
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        "batch": 1
      },
      "runtime": "rknn",
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      "accelerator": "npu",
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      "metrics": {
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      },
      "class": "D",
      "confidence": "medium",
      "date": "2026",
      "derivation": "RK3588 NPU Research",
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      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
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          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 NPU Research"
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      ],
      "key": "rk3588_npu|yolo11|l|rknn|int8|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0060-rk3588-npu-yolo11-m-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
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        "version": "v1"
      },
      "model": {
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        "series": "yolo11",
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        "task": "detection"
      },
      "input": {
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        "batch": 1
      },
      "runtime": "rknn",
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      "metrics": {
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      "date": "2026",
      "derivation": "RK3588 NPU Research",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
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      ],
      "key": "rk3588_npu|yolo11|m|rknn|int8|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0058-rk3588-npu-yolo11-n-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
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      "software": {
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        "task": "detection"
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      "input": {
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        "batch": 1
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      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
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      ],
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    },
    {
      "id": "b0059-rk3588-npu-yolo11-s-rknn-int8",
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        "task": "detection"
      },
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        "batch": 1
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      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models"
        }
      ],
      "key": "rk3588_npu|yolov8_pose|n|rknn|int8|640x640|1",
      "duplicates": []
    },
    {
      "id": "b0247-rk3588-npu-yolox-s-rknn-int8",
      "origin": "catalog",
      "hardware": "rk3588_npu",
      "power_mode": "default",
      "software": {
        "name": "sdk",
        "version": "v1"
      },
      "model": {
        "family": "yolox",
        "series": "yolox",
        "variant": "s",
        "task": "detection"
      },
      "input": {
        "resolution": "640x640",
        "batch": 1
      },
      "runtime": "rknn",
      "precision": "int8",
      "accelerator": "npu",
      "scope": "inference_only",
      "metrics": {
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        "latency_ms": 28.1,
        "latency_p99_ms": null,
        "tokens_per_s": null,
        "power_w": null,
        "memory_mb": null,
        "accuracy_map50_95": null
      },
      "class": "D",
      "confidence": "medium",
      "date": "2026",
      "derivation": "RK3588 Extended Models",
      "notes": null,
      "sources": [
        {
          "publisher": "EdgeAIStack",
          "document": "Benchmark corpus — research-derived rows, class D",
          "doc_id": "edgeaistack:benchmark-corpus",
          "url": "https://edgeaistack.ai/datasets/benchmark-corpus.json",
          "retrieved": "2026-09-07",
          "verified": "2026-09-07",
          "class": "D",
          "section": "RK3588 Extended Models"
        }
      ],
      "key": "rk3588_npu|yolox|s|rknn|int8|640x640|1",
      "duplicates": []
    }
  ]
}