{
  "schema_version": 2,
  "status": "released",
  "released_at": "2026-10-13T09:28:20.900608+00:00",
  "model": {
    "source": "resnet",
    "provider": "timm",
    "family": "resnet",
    "task": "cls",
    "size": "101-224",
    "parameter_count": 44549160,
    "gflops": 15.60281088,
    "gflops_method": "FP32 simplified ONNX static batch=1 224x224; Conv and Gemm multiply-accumulate counted as 2 FLOPs; excludes activation, pooling, additions and preprocessing"
  },
  "license": {
    "name": "Apache-2.0",
    "url": "https://huggingface.co/timm/resnet101.a1_in1k/blob/d90ce63ac1b05b22614f11dcea68fcedfc2c4dee/README.md",
    "reviewed_by": "JasperXzy"
  },
  "sample_path": "samples/vision/resnet",
  "target": {
    "platform": "s100",
    "march": "nash-e",
    "format": "hbm"
  },
  "input": {
    "width": 224,
    "height": 224,
    "source": {
      "format": "rgb",
      "dtype": "float32",
      "layout": "NCHW",
      "shape": [
        1,
        3,
        224,
        224
      ],
      "scale": 0.00392156862745098,
      "mean": [
        0.485,
        0.456,
        0.406
      ],
      "std": [
        0.229,
        0.224,
        0.225
      ],
      "geometry": "PIL bicubic shorter=235, center crop=224"
    }
  },
  "artifact": {
    "name": "resnet101_nashe_224x224_nv12.hbm",
    "format": "hbm",
    "march": "nash-e",
    "runtime_input": "nv12",
    "input_space_and_range": "bt601_video",
    "url": "https://rdk-model-zoo.oss-cn-beijing.aliyuncs.com/models/resnet/resnet/cls/101-224/s100/resnet101_nashe_224x224_nv12.hbm",
    "release_manifest_url": "https://rdk-model-zoo.oss-cn-beijing.aliyuncs.com/models/resnet/resnet/cls/101-224/s100/release.json",
    "checksums_url": "https://rdk-model-zoo.oss-cn-beijing.aliyuncs.com/models/resnet/resnet/cls/101-224/s100/SHA256SUMS",
    "size_bytes": 46029392,
    "sha256": "9ae4a198c1b5becdf1dd564eb5627a3f2b8ec9ecc29315d360ce41ac321c7142"
  },
  "reports": {
    "oe_conversion_url": "https://rdk-model-zoo.oss-cn-beijing.aliyuncs.com/models/resnet/resnet/cls/101-224/s100/oe_report.html"
  },
  "accuracy": {
    "dataset": "ImageNetV2 MatchedFrequency (not ILSVRC2012 val)",
    "task": "classification",
    "images": 10000,
    "metrics": [
      "top1",
      "top5"
    ],
    "float_onnx": {
      "top1": 0.7032,
      "top5": 0.8835
    },
    "runtime": {
      "top1": 0.6864,
      "top5": 0.8767
    },
    "drop": {
      "top1": {
        "percentage_points": 1.6800000000000037,
        "relative_percent": 2.3890784982935176
      },
      "top5": {
        "percentage_points": 0.6799999999999917,
        "relative_percent": 0.7696661007356997
      }
    },
    "acceptance": {
      "rule": "Top-1 and Top-5 loss vs FP32 ONNX under 5% (relative and absolute)",
      "relative_drop_limit_exclusive": 0.05,
      "absolute_drop_limit_exclusive": 0.05,
      "passed": true,
      "source": "owner acceptance amendment, 2026-10-10 (applied to this release in acceptance.json)"
    }
  },
  "performance": {
    "tool": "hrt_model_exec perf",
    "implementation": "native_cpp_cli",
    "timing_scope": "model_runtime",
    "thread_semantics": "runtime_submission_concurrency",
    "core_id": 0,
    "warmup_frames_per_condition": 20,
    "warmup_scope": "separate-process device warmup",
    "runs_per_condition": 3,
    "frames_per_run": 200,
    "stages": {
      "preprocess": "not_measured",
      "runtime": "measured",
      "postprocess": "not_measured",
      "end_to_end": "not_measured"
    },
    "measurements": [
      {
        "threads": 1,
        "average_latency_ms": 1.613945,
        "observed_min_latency_ms": 1.578,
        "observed_max_latency_ms": 2.012,
        "aggregate_fps": 612.7382147463621,
        "runs": [
          {
            "frames": 200,
            "mean": 1.612085,
            "max": 1.997,
            "min": 1.578,
            "wall_ms": 326.51
          },
          {
            "frames": 200,
            "mean": 1.624165,
            "max": 2.009,
            "min": 1.585,
            "wall_ms": 329.044
          },
          {
            "frames": 200,
            "mean": 1.605585,
            "max": 2.012,
            "min": 1.58,
            "wall_ms": 323.657
          }
        ]
      },
      {
        "threads": 2,
        "average_latency_ms": 2.679995,
        "observed_min_latency_ms": 1.825,
        "observed_max_latency_ms": 3.241,
        "aggregate_fps": 739.321426151031,
        "runs": [
          {
            "frames": 200,
            "mean": 2.675485,
            "max": 3.049,
            "min": 1.83,
            "wall_ms": 270.474
          },
          {
            "frames": 200,
            "mean": 2.68567,
            "max": 3.241,
            "min": 1.982,
            "wall_ms": 270.594
          },
          {
            "frames": 200,
            "mean": 2.67883,
            "max": 3.062,
            "min": 1.825,
            "wall_ms": 270.487
          }
        ]
      }
    ],
    "end_to_end": [
      {
        "tool": "classification_benchmark",
        "implementation": "native_cpp_classification_benchmark",
        "timing_scope": "in_memory_bgr_to_topk_predictions",
        "pipeline_streams": 1,
        "runtime_submission_threads": 1,
        "cpu_thread_policy": "all_online",
        "online_cpu_threads": 6,
        "opencv_threads": 6,
        "cpu_governor": "performance",
        "cpu_frequency_mhz": 1500.0,
        "bpu_frequency_mhz": 1000.0,
        "warmup_frames_per_round": 20,
        "frames_per_round": 200,
        "frames_semantics": "per stream",
        "rounds": 3,
        "timed_frames": 600,
        "aggregate_wall_ms": 2259.3374160000003,
        "metrics_ms": {
          "preprocess": {
            "mean": 1.9570082549999999,
            "p50": 1.9435025000000001,
            "p95": 2.03937875,
            "min": 1.751842,
            "max": 21.44147
          },
          "runtime": {
            "mean": 1.79835933,
            "p50": 1.7644039999999999,
            "p95": 2.149119,
            "min": 1.737017,
            "max": 2.206114
          },
          "postprocess": {
            "mean": 0.006943293333333335,
            "p50": 0.0067375,
            "p95": 0.0078037499999999965,
            "min": 0.0056,
            "max": 0.0474
          },
          "end_to_end": {
            "mean": 3.7623108783333334,
            "p50": 3.722657,
            "p95": 4.0996637,
            "min": 3.503633,
            "max": 23.240761
          }
        },
        "throughput_fps": 265.56458355930664
      },
      {
        "tool": "classification_benchmark",
        "implementation": "native_cpp_classification_benchmark",
        "timing_scope": "in_memory_bgr_to_topk_predictions",
        "pipeline_streams": 2,
        "runtime_submission_threads": 2,
        "cpu_thread_policy": "all_online",
        "online_cpu_threads": 6,
        "opencv_threads": 6,
        "cpu_governor": "performance",
        "cpu_frequency_mhz": 1500.0,
        "bpu_frequency_mhz": 1000.0,
        "warmup_frames_per_round": 20,
        "frames_per_round": 200,
        "frames_semantics": "per stream",
        "rounds": 3,
        "timed_frames": 1200,
        "aggregate_wall_ms": 3157.657837,
        "metrics_ms": {
          "preprocess": {
            "mean": 3.2594750733333333,
            "p50": 2.241139,
            "p95": 7.446179249999999,
            "min": 1.769516,
            "max": 11.910092
          },
          "runtime": {
            "mean": 1.8814196675000001,
            "p50": 1.7932415000000002,
            "p95": 2.34400555,
            "min": 1.734667,
            "max": 3.129185
          },
          "postprocess": {
            "mean": 0.007915021666666666,
            "p50": 0.007174,
            "p95": 0.011903749999999998,
            "min": 0.005425,
            "max": 0.043949
          },
          "end_to_end": {
            "mean": 5.1488097625,
            "p50": 4.0877925,
            "p95": 9.25096875,
            "min": 3.514658,
            "max": 14.842903
          }
        },
        "throughput_fps": 380.02850908636935
      }
    ]
  },
  "runtime_environment": {
    "board": "RDK S100",
    "runtime": [
      "[UCP]: UCP version = 3.13.6",
      "[BPU][[BPU_MONITOR]][281473783264544][INFO]BPULib verison(2, 2, 15)[f21ee84]!",
      "[DNN]: 3.13.6_(4.7.5 HBRT)"
    ],
    "cpu_governor": "performance",
    "cpu_frequency_mhz": 1500.0,
    "bpu_frequency_mhz": 1000.0,
    "online_cpu_threads": 6,
    "cpu_thread_policy": "all_online",
    "governor_restored": true
  },
  "validation": {
    "board_smoke": "passed",
    "cpp_functional": "passed",
    "runtime_perf": "passed",
    "cpp_e2e": "passed",
    "input_contract_review": "passed",
    "environment_review": "passed",
    "license_review": "passed",
    "full_dataset_review": "passed",
    "release_approval": "passed",
    "approved_by": "JasperXzy",
    "approved_at": "2026-10-13T09:28:20.351338+00:00",
    "approval_items": [
      "accuracy basis: ImageNetV2 MatchedFrequency 10,000 images (not ImageNet-1k val); Top-1/Top-5 loss < 5% relative and absolute vs FP32; all twenty builds pass (Top-1 relative loss 0.7-2.8%, Top-5 0.4-1.5%)",
      "scope: ResNet-18/34/50/101/152 (timm a1_in1k) at 224 on x5/s100/s100p/s600; the legacy archive ResNet assets leave the manifests (S resnet18/resnet50/resnet152 entries merge into one resnet entry) and the X5 resnet18-x5 and S resnet152-s100 benchmark records are replaced by measured records",
      "precision: INT8 for every build (default calibration), no exceptions",
      "license: Apache-2.0 (timm a1_in1k checkpoint model cards)",
      "board and performance evidence: Python sample on X5/S100/S100P/S600 (40/40 runs), C++ sample on S100/S100P/S600 (30/30 runs) plus MobileNetV2 C++ regression after the tooling rename, runtime 1/2 concurrency and C++ end-to-end 1/2 streams on all four boards, C++ logits bit-equal to Python"
    ],
    "evidence": {
      "board_smoke": [
        {
          "path": "resnet-20261013/build/boards/s100-resnet101-model-info.json",
          "sha256": "fac765a941abd007864413bfcf0922d41d703a2523cecdaa68020a21d1ffab1f"
        },
        {
          "path": "resnet-20261013/build/sample-validation.json",
          "sha256": "5d96f993c4885463d06b030d39c6fc2476e8a1114d7b41a73f1c4d19541d43d5"
        },
        {
          "path": "resnet-20261013/build/sample-validation.source.json",
          "sha256": "a2ba66a6c434bd377b59fcbe835ff10cd7f59d676f031b3052f0c8bd75e6c085"
        },
        {
          "path": "resnet-20261013/build/cpp-sample-validation.json",
          "sha256": "84b21781f756888da828d4eedc0f4e41f9a3e855b480c9ebfe47204294aabe28"
        }
      ],
      "cpp_functional": [
        {
          "path": "resnet-20261013/build/boards/s100-cpp-build.json",
          "sha256": "40ce1340a87f572d2ae1785899e168f880c1b52ce51d3d15b3db074ca37ff503"
        },
        {
          "path": "resnet-20261013/build/boards/s100-resnet101-cpp-smoke.json",
          "sha256": "646e2bb1e18611c71a8094bd987ba075decf8b024ee5ea51c5efdf2897ebad7d"
        }
      ],
      "runtime_perf": [
        {
          "path": "resnet-20261013/build/boards/s100-resnet101-benchmark.json",
          "sha256": "76c59ebad8fef06880be1b03583a02a5b1b78693670138e8a446e6280f6a6753"
        },
        {
          "path": "resnet-20261013/build/resnet101/s100/benchmark-attempt-01/execution.json",
          "sha256": "08a518ae59713b20f20a605f1502e0846612705e4eac87a3cc09268e1e3e3361"
        }
      ],
      "cpp_e2e": [
        {
          "path": "resnet-20261013/build/boards/s100-resnet101-benchmark.json",
          "sha256": "76c59ebad8fef06880be1b03583a02a5b1b78693670138e8a446e6280f6a6753"
        },
        {
          "path": "resnet-20261013/build/resnet101/s100/benchmark-attempt-01/execution.json",
          "sha256": "08a518ae59713b20f20a605f1502e0846612705e4eac87a3cc09268e1e3e3361"
        }
      ],
      "input_contract_review": [
        {
          "path": "resnet-20261013/build/resnet101/export/export.json",
          "sha256": "29c564c979f83003cedda0436a50f71d5ffafb981c4969a3876529a127acde6a"
        },
        {
          "path": "resnet-20261013/build/resnet101/s100/attempt-01/config.yaml",
          "sha256": "0d79f4a7dba171a927c3995558e16c579e952a7833fe03c3f220b3463aad8562"
        },
        {
          "path": "resnet-20261013/build/resnet101/s100/calibration/calibration.json",
          "sha256": "f70e406130c05bc90675d69c65359978bad4de97bc1dc88cd39eafc55d7f9ded"
        }
      ],
      "environment_review": [
        {
          "path": "resnet-20261013/build/resnet101/s100/benchmark-attempt-01/execution.json",
          "sha256": "08a518ae59713b20f20a605f1502e0846612705e4eac87a3cc09268e1e3e3361"
        }
      ],
      "license_review": [],
      "full_dataset_review": [
        {
          "path": "resnet-20261013/build/resnet101/s100/accuracy-attempt-01/evaluation.json",
          "sha256": "7abdd1496054e2a9ce83d1b92370a4c8fab6630d1001d389e1516cc18acece99"
        },
        {
          "path": "resnet-20261013/build/resnet101/evaluation/evaluation.json",
          "sha256": "98f799fa964a4dd862ec7ac96b61bb8cefa3f6ea6165e2b9fcab12c4778c8ead"
        }
      ]
    }
  },
  "provenance": {
    "build_id": "resnet101-20261013-s100-attempt-01",
    "repository_commit": "ae66224ce61790af5d66087d7a86e123338263e3",
    "build_snapshot_commit": "864ce8f399c8b79e20992703c44f58be7fd89283",
    "source_status": "clean committed tree (inputs/source-864ce8f3.tar.gz)",
    "precision_policy": "int8",
    "config_change": {
      "baseline": "p2 s100/attempt-03-bt601/config.yaml",
      "change": "onnx_model, march, working_dir, output prefix, cal_data_dir, input_parameters from workflow config",
      "workflow_config_receipt": "/home/zhengyi/work/rdk_model_zoo_workbench/runs/p5/resnet-20261013/build/resnet101/s100/config/config.json"
    },
    "toolchain_image": "registry.d-robotics.cc/deliver/ai_toolchain_ubuntu_22_s100_s600_gpu:v3.7.0",
    "checkpoint": {
      "repo_id": "timm/resnet101.a1_in1k",
      "revision": "d90ce63ac1b05b22614f11dcea68fcedfc2c4dee",
      "model_safetensors_sha256": "1ba5b660e7c175b3c27c557fc7dc8b2815be830c516815b0155f61b403f27380",
      "url": "https://huggingface.co/timm/resnet101.a1_in1k/resolve/d90ce63ac1b05b22614f11dcea68fcedfc2c4dee/model.safetensors"
    },
    "onnx_sha256": "21d72562480532711bb313f01bc78b97d30c712d6e7a007fa43f413c348f5f9c",
    "config_sha256": "0d79f4a7dba171a927c3995558e16c579e952a7833fe03c3f220b3463aad8562",
    "campaign_sha256": "5f169592837e0420bec95b151a41c467115cd2ff46c2a0c8343380c9bb7a0de4",
    "calibration": {
      "dataset": "COCO 2017 train2017",
      "images": 200,
      "manifest_sha256": "1d50d53df79c85c9129db9b90570b0f67ef1347c5285a68f4397a4ce1a2c0921"
    },
    "evaluation": {
      "dataset": "ImageNetV2 MatchedFrequency",
      "images": 10000,
      "manifest_sha256": "9df523ab34abae87763b3c7c92662c2cddf78b4e5c66d852a724a925ba052cdc"
    },
    "evidence_prefix": "reports/resnet/resnet/cls/101-224/s100/candidates/resnet101-20261013-s100-attempt-01/"
  }
}