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214246 - qualcommrb3gen2 tflite

Summary: Test completed with status: SUCCESS. Mean inference time: 331 ms.

Model Details

  • model name : Resnet.tflite

Logs Details

user.log
INFO: Created TensorFlow Lite delegate for GPU. 
W/Adreno-GSL (514650,514650): <os_lib_map:1488>:   os_lib_map error: libadreno_app_profiles.so: cannot open shared object file: No such file or directory, on 'libadreno_app_profiles.so' 
W/Adreno-CB (514650,514650): <cl_app_profiles_initialize:104>: Failed to load the app profiles library libadreno_app_profiles.so! 
INFO: Initialized OpenCL-based API. 
INFO: Created 1 GPU delegate kernels. 
error.log

Report Details

report.json
{
  "version": 0,
  "target_id": "qualcommrb3gen2-0002-0000",
  "version_tag": "",
  "date": "2026-07-21T22:05:59.",
  "target": "qualcommrb3gen2",
  "inference_engine": "tflite",
  "model_file_name": "Resnet.tflite",
  "benchmark_type": "TYPE1",
  "nb_inference": 294,
  "ram_size": 5632770048,
  "ram_peak_usage": 0.9552148506240601,
  "flash_size": 116249661440,
  "flash_usage": 0.0002736730550946196,
  "load_cpu": 28.517857142857142,
  "load_accelerator": null,
  "temperature": null,
  "ambiant_temperature": null,
  "power_consumption": null,
  "energy_efficiency": null,
  "model_size": 318144,
  "nb_parameters_model": null,
  "GFLOPs": null,
  "inference_latency": {
    "mean": 330.711,
    "std": 8.0,
    "min": 312.0,
    "max": 364.0,
    "troughput": null,
    "latency_per_layers": [
      {
        "layer_name": " Delegate/convolution_2d 0 -> relu 1:0",
        "mean": 7.15306,
        "std": 0.0,
        "min": 7.15306,
        "max": 7.15306
      },
      {
        "layer_name": " Delegate/convolution_2d 2 -> relu 3:1",
        "mean": 34.483,
        "std": 0.0,
        "min": 34.483,
        "max": 34.483
      },
      {
        "layer_name": " Delegate/convolution_2d 4 -> add 5 -> relu 6:2",
        "mean": 35.170100000000005,
        "std": 0.0,
        "min": 35.170100000000005,
        "max": 35.170100000000005
      },
      {
        "layer_name": " Delegate/convolution_2d 7 -> relu 8:3",
        "mean": 32.4932,
        "std": 0.0,
        "min": 32.4932,
        "max": 32.4932
      },
      {
        "layer_name": " Delegate/convolution_2d 9:4",
        "mean": 62.486399999999996,
        "std": 0.0,
        "min": 62.486399999999996,
        "max": 62.486399999999996
      },
      {
        "layer_name": " Delegate/convolution_2d 10 -> add 11 -> relu 12:5",
        "mean": 8.455779999999999,
        "std": 0.0,
        "min": 8.455779999999999,
        "max": 8.455779999999999
      },
      {
        "layer_name": " Delegate/convolution_2d 13 -> relu 14:6",
        "mean": 43.4898,
        "std": 0.0,
        "min": 43.4898,
        "max": 43.4898
      },
      {
        "layer_name": " Delegate/convolution_2d 15:7",
        "mean": 81.08160000000001,
        "std": 0.0,
        "min": 81.08160000000001,
        "max": 81.08160000000001
      },
      {
        "layer_name": " Delegate/convolution_2d 16 -> add 17 -> relu 18:8",
        "mean": 8.35034,
        "std": 0.0,
        "min": 8.35034,
        "max": 8.35034
      },
      {
        "layer_name": " Delegate/mean 19:9",
        "mean": 9.285710000000002,
        "std": 0.0,
        "min": 9.285710000000002,
        "max": 9.285710000000002
      },
      {
        "layer_name": " Delegate/fully_connected 21:10",
        "mean": 4.65986,
        "std": 0.0,
        "min": 4.65986,
        "max": 4.65986
      },
      {
        "layer_name": " Delegate/softmax 22:11",
        "mean": 3.60204,
        "std": 0.0,
        "min": 3.60204,
        "max": 3.60204
      }
    ]
  },
  "preprocess_time": {
    "mean": null,
    "std": null,
    "min": null,
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  },
  "postprocess_time": {
    "mean": null,
    "std": null,
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  },
  "accuracy": null
}