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214247 - qualcommrb3gen2 tflite

Summary: Test completed with status: SUCCESS. Mean inference time: 339 ms.

Model Details

  • model name : Resnet_int8.tflite

Logs Details

user.log
INFO: Created TensorFlow Lite delegate for GPU. 
W/Adreno-GSL (514902,514902): <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 (514902,514902): <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": "2026-07-21T22:06:08.",
  "target": "qualcommrb3gen2",
  "inference_engine": "tflite",
  "model_file_name": "Resnet_int8.tflite",
  "benchmark_type": "TYPE1",
  "nb_inference": 209,
  "ram_size": 5632770048,
  "ram_peak_usage": 0.958414413156601,
  "flash_size": 116249661440,
  "flash_usage": 8.472798869254066e-05,
  "load_cpu": 30.071428571428573,
  "load_accelerator": null,
  "temperature": null,
  "ambiant_temperature": null,
  "power_consumption": null,
  "energy_efficiency": null,
  "model_size": 98496,
  "nb_parameters_model": null,
  "GFLOPs": null,
  "inference_latency": {
    "mean": 338.866,
    "std": 8.0,
    "min": 319.0,
    "max": 389.0,
    "troughput": null,
    "latency_per_layers": [
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        "mean": 8.79426,
        "std": 0.0,
        "min": 8.79426,
        "max": 8.79426
      },
      {
        "layer_name": " Delegate/convolution_2d 2 -> relu 3 -> quantize_and_dequantize 24:1",
        "mean": 35.1579,
        "std": 0.0,
        "min": 35.1579,
        "max": 35.1579
      },
      {
        "layer_name": " Delegate/convolution_2d 4 -> quantize_and_dequantize 25 -> add 5 -> relu 6 -> quantize_and_dequantize 26:2",
        "mean": 36.7273,
        "std": 0.0,
        "min": 36.7273,
        "max": 36.7273
      },
      {
        "layer_name": " Delegate/convolution_2d 7 -> relu 8 -> quantize_and_dequantize 27:3",
        "mean": 34.4402,
        "std": 0.0,
        "min": 34.4402,
        "max": 34.4402
      },
      {
        "layer_name": " Delegate/convolution_2d 9 -> quantize_and_dequantize 28:4",
        "mean": 62.2297,
        "std": 0.0,
        "min": 62.2297,
        "max": 62.2297
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      {
        "layer_name": " Delegate/convolution_2d 10 -> quantize_and_dequantize 29 -> add 11 -> relu 12 -> quantize_and_dequantize 30:5",
        "mean": 11.578899999999999,
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        "max": 11.578899999999999
      },
      {
        "layer_name": " Delegate/convolution_2d 13 -> relu 14 -> quantize_and_dequantize 31:6",
        "mean": 42.8804,
        "std": 0.0,
        "min": 42.8804,
        "max": 42.8804
      },
      {
        "layer_name": " Delegate/convolution_2d 15 -> quantize_and_dequantize 32:7",
        "mean": 80.37320000000001,
        "std": 0.0,
        "min": 80.37320000000001,
        "max": 80.37320000000001
      },
      {
        "layer_name": " Delegate/convolution_2d 16 -> quantize_and_dequantize 33 -> add 17 -> relu 18 -> quantize_and_dequantize 34:8",
        "mean": 9.09569,
        "std": 0.0,
        "min": 9.09569,
        "max": 9.09569
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      {
        "layer_name": " Delegate/mean 19 -> quantize_and_dequantize 35 -> quantize_and_dequantize 36:9",
        "mean": 9.36842,
        "std": 0.0,
        "min": 9.36842,
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      {
        "layer_name": " Delegate/fully_connected 21 -> quantize_and_dequantize 37:10",
        "mean": 4.59809,
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      },
      {
        "layer_name": " Delegate/softmax 22:11",
        "mean": 3.62201,
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    ]
  },
  "preprocess_time": {
    "mean": null,
    "std": null,
    "min": null,
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  "postprocess_time": {
    "mean": null,
    "std": null,
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  "accuracy": null
}