Skip to content

124210 - qualcommrb3gen2 tflite

Summary: Pipeline succeeded and valid report was generated.

Model Details

  • model name : miniresnet_2stacks_64x50_tl_int8.tflite
  • model url : Download here

Logs Details

user.log
INFO: Created TensorFlow Lite delegate for GPU. 
W/Adreno-GSL (36971,36971): <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 (36971,36971): <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
{
  "GFLOPs": null,
  "accuracy": null,
  "ambiant_temperature": null,
  "benchmark_type": "TYPE1",
  "date": "2026-04-14T22:15:40.",
  "energy_efficiency": null,
  "flash_size": 116249661440,
  "flash_usage": 0.0004116381880793545,
  "inference_engine": "tflite",
  "inference_latency": {
    "latency_per_layers": [
      {
        "layer_name": " Delegate/pad 0 -> quantize_and_dequantize 35:0",
        "max": 5.71724,
        "mean": 5.71724,
        "min": 5.71724,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 1 -> relu 2 -> quantize_and_dequantize 36:1",
        "max": 70.131,
        "mean": 70.131,
        "min": 70.131,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/pad 3 -> quantize_and_dequantize 37:2",
        "max": 10.0483,
        "mean": 10.0483,
        "min": 10.0483,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/pooling_2d 4 -> quantize_and_dequantize 38:3",
        "max": 12.8207,
        "mean": 12.8207,
        "min": 12.8207,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 5 -> quantize_and_dequantize 39:4",
        "max": 14.0897,
        "mean": 14.0897,
        "min": 14.0897,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 6 -> relu 7 -> quantize_and_dequantize 40:5",
        "max": 13.8207,
        "mean": 13.8207,
        "min": 13.8207,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 8 -> relu 9 -> quantize_and_dequantize 41 -> add 10 -> relu 11 -> quantize_and_dequantize 42:6",
        "max": 94.5517,
        "mean": 94.5517,
        "min": 94.5517,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 12 -> relu 13 -> quantize_and_dequantize 43:7",
        "max": 14.669,
        "mean": 14.669,
        "min": 14.669,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 14 -> relu 15 -> quantize_and_dequantize 44 -> add 16 -> relu 17 -> quantize_and_dequantize 45:8",
        "max": 92.9517,
        "mean": 92.9517,
        "min": 92.9517,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 18 -> quantize_and_dequantize 46:9",
        "max": 15.2414,
        "mean": 15.2414,
        "min": 15.2414,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 19 -> relu 20 -> quantize_and_dequantize 47:10",
        "max": 14.7517,
        "mean": 14.7517,
        "min": 14.7517,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 21 -> relu 22 -> quantize_and_dequantize 48 -> add 23 -> relu 24 -> quantize_and_dequantize 49:11",
        "max": 207.02100000000002,
        "mean": 207.02100000000002,
        "min": 207.02100000000002,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 25 -> relu 26 -> quantize_and_dequantize 50:12",
        "max": 24.3241,
        "mean": 24.3241,
        "min": 24.3241,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/convolution_2d 27 -> relu 28 -> quantize_and_dequantize 51 -> add 29 -> relu 30 -> quantize_and_dequantize 52:13",
        "max": 207.662,
        "mean": 207.662,
        "min": 207.662,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/reshape 31 -> quantize_and_dequantize 53:14",
        "max": 4.5793099999999995,
        "mean": 4.5793099999999995,
        "min": 4.5793099999999995,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/fully_connected 32 -> quantize_and_dequantize 54:15",
        "max": 90.3586,
        "mean": 90.3586,
        "min": 90.3586,
        "std": 0.0
      },
      {
        "layer_name": " Delegate/softmax 33 -> quantize_and_dequantize 55 -> quantize_and_dequantize 34:16",
        "max": 3.7586199999999996,
        "mean": 3.7586199999999996,
        "min": 3.7586199999999996,
        "std": 0.0
      }
    ],
    "max": 929.0,
    "mean": 896.497,
    "min": 877.0,
    "std": 7.0,
    "troughput": null
  },
  "load_accelerator": null,
  "load_cpu": 28.428571428571427,
  "model_file_name": "miniresnet_2stacks_64x50_tl_int8.tflite",
  "model_size": 478528,
  "nb_inference": 145,
  "nb_parameters_model": null,
  "postprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "power_consumption": null,
  "preprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "ram_peak_usage": 0.9944829321394109,
  "ram_size": 5632765952,
  "target": "qualcommrb3gen2",
  "target_id": "c-qualcommrb3gen2-0000-0000",
  "temperature": null,
  "version": 0,
  "version_tag": ""
}