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214243 - qualcommrb3gen2 tflite

Summary: Test completed with status: SUCCESS. Mean inference time: 152 ms.

Model Details

  • model name : DSCNN_int8.tflite

Logs Details

user.log
INFO: Created TensorFlow Lite delegate for GPU. 
W/Adreno-GSL (513927,513927): <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 (513927,513927): <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": "2026-07-21T22:05:29.",
  "target": "qualcommrb3gen2",
  "inference_engine": "tflite",
  "model_file_name": "DSCNN_int8.tflite",
  "benchmark_type": "TYPE1",
  "nb_inference": 514,
  "ram_size": 5632770048,
  "ram_peak_usage": 0.9431437737967464,
  "flash_size": 116249661440,
  "flash_usage": 4.639669426292309e-05,
  "load_cpu": 29.104166666666668,
  "load_accelerator": null,
  "temperature": null,
  "ambiant_temperature": null,
  "power_consumption": null,
  "energy_efficiency": null,
  "model_size": 53936,
  "nb_parameters_model": null,
  "GFLOPs": null,
  "inference_latency": {
    "mean": 152.161,
    "std": 2.0,
    "min": 145.0,
    "max": 163.0,
    "troughput": null,
    "latency_per_layers": [
      {
        "layer_name": " Delegate/convolution_2d 0 -> relu 1 -> quantize_and_dequantize 22:0",
        "mean": 39.216,
        "std": 0.0,
        "min": 39.216,
        "max": 39.216
      },
      {
        "layer_name": " Delegate/depthwise_convolution 2 -> relu 3 -> quantize_and_dequantize 23:1",
        "mean": 5.387160000000001,
        "std": 0.0,
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        "max": 5.387160000000001
      },
      {
        "layer_name": " Delegate/convolution_2d 4 -> relu 5 -> quantize_and_dequantize 24:2",
        "mean": 16.8735,
        "std": 0.0,
        "min": 16.8735,
        "max": 16.8735
      },
      {
        "layer_name": " Delegate/depthwise_convolution 6 -> relu 7 -> quantize_and_dequantize 25:3",
        "mean": 4.653700000000001,
        "std": 0.0,
        "min": 4.653700000000001,
        "max": 4.653700000000001
      },
      {
        "layer_name": " Delegate/convolution_2d 8 -> relu 9 -> quantize_and_dequantize 26:4",
        "mean": 16.4864,
        "std": 0.0,
        "min": 16.4864,
        "max": 16.4864
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      {
        "layer_name": " Delegate/depthwise_convolution 10 -> relu 11 -> quantize_and_dequantize 27:5",
        "mean": 4.66537,
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        "min": 4.66537,
        "max": 4.66537
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      {
        "layer_name": " Delegate/convolution_2d 12 -> relu 13 -> quantize_and_dequantize 28:6",
        "mean": 15.7198,
        "std": 0.0,
        "min": 15.7198,
        "max": 15.7198
      },
      {
        "layer_name": " Delegate/depthwise_convolution 14 -> relu 15 -> quantize_and_dequantize 29:7",
        "mean": 4.63035,
        "std": 0.0,
        "min": 4.63035,
        "max": 4.63035
      },
      {
        "layer_name": " Delegate/convolution_2d 16 -> relu 17 -> quantize_and_dequantize 30:8",
        "mean": 16.8366,
        "std": 0.0,
        "min": 16.8366,
        "max": 16.8366
      },
      {
        "layer_name": " Delegate/mean 18 -> quantize_and_dequantize 31 -> quantize_and_dequantize 32:9",
        "mean": 19.4436,
        "std": 0.0,
        "min": 19.4436,
        "max": 19.4436
      },
      {
        "layer_name": " Delegate/fully_connected 20 -> quantize_and_dequantize 33:10",
        "mean": 4.62062,
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        "min": 4.62062,
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      {
        "layer_name": " Delegate/softmax 21:11",
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        "max": 3.6284
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    ]
  },
  "preprocess_time": {
    "mean": null,
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  "postprocess_time": {
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  "accuracy": null
}