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214470 - stm32l4r9 tflite

Summary: Test completed with status: SUCCESS. Mean inference time: 381946 ms.

Model Details

  • model name : Resnet_int8.tflite

Logs Details

user.log
error.log

Report Details

report.json
{
  "version": 0,
  "target_id": "stm32l4r9-0002-0000",
  "version_tag": "",
  "date": "2026-07-21T22:25:55.",
  "target": "stm32l4r9",
  "inference_engine": "tflite",
  "model_file_name": "Resnet_int8.tflite",
  "benchmark_type": "TYPE1",
  "nb_inference": 20,
  "ram_size": 655360,
  "ram_peak_usage": 17.994384765625,
  "flash_size": 2097152,
  "flash_usage": 22.9461669921875,
  "load_cpu": 100,
  "load_accelerator": null,
  "temperature": null,
  "ambiant_temperature": null,
  "power_consumption": 0.2710422,
  "energy_efficiency": null,
  "model_size": 98496,
  "nb_parameters_model": null,
  "GFLOPs": null,
  "inference_latency": {
    "mean": 381945.95,
    "std": 7.3517004835616095,
    "min": 381932.0,
    "max": 381960.0,
    "troughput": null,
    "latency_per_layers": [
      {
        "layer_name": "CONV_2D",
        "mean": 357396.1,
        "std": 5.664803615307418,
        "min": 357383.0,
        "max": 357403.0
      },
      {
        "layer_name": "ADD",
        "mean": 24115.0,
        "std": 2.449489742783178,
        "min": 24110.0,
        "max": 24120.0
      },
      {
        "layer_name": "AVERAGE_POOL_2D",
        "mean": 339.35,
        "std": 0.47696960070847283,
        "min": 339.0,
        "max": 340.0
      },
      {
        "layer_name": "RESHAPE",
        "mean": 7.0,
        "std": 0.0,
        "min": 7.0,
        "max": 7.0
      },
      {
        "layer_name": "FULLY_CONNECTED",
        "mean": 35.05,
        "std": 0.21794494717703367,
        "min": 35.0,
        "max": 36.0
      },
      {
        "layer_name": "SOFTMAX",
        "mean": 50.85,
        "std": 7.268252884978618,
        "min": 40.0,
        "max": 68.0
      }
    ]
  },
  "preprocess_time": {
    "mean": 636.95,
    "std": 0.3840572873934304,
    "min": 636.0,
    "max": 638.0
  },
  "postprocess_time": {
    "mean": null,
    "std": null,
    "min": null,
    "max": null
  },
  "accuracy": null
}