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214242 - qualcommrb3gen2 tflite

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

Model Details

  • model name : DSCNN.tflite

Logs Details

user.log
INFO: Created TensorFlow Lite delegate for GPU. 
W/Adreno-GSL (513695,513695): <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 (513695,513695): <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": "2026-07-21T22:05:20.",
  "target": "qualcommrb3gen2",
  "inference_engine": "tflite",
  "model_file_name": "DSCNN.tflite",
  "benchmark_type": "TYPE1",
  "nb_inference": 320,
  "ram_size": 5632770048,
  "ram_peak_usage": 0.9706309246444851,
  "flash_size": 116249661440,
  "flash_usage": 3.732656032069043e-05,
  "load_cpu": 27.979166666666668,
  "load_accelerator": null,
  "temperature": null,
  "ambiant_temperature": null,
  "power_consumption": null,
  "energy_efficiency": null,
  "model_size": 43392,
  "nb_parameters_model": null,
  "GFLOPs": null,
  "inference_latency": {
    "mean": 152.369,
    "std": 4.0,
    "min": 146.0,
    "max": 208.0,
    "troughput": null,
    "latency_per_layers": [
      {
        "layer_name": " Delegate/convolution_2d 0 -> relu 1:0",
        "mean": 40.875,
        "std": 0.0,
        "min": 40.875,
        "max": 40.875
      },
      {
        "layer_name": " Delegate/depthwise_convolution 2 -> relu 3:1",
        "mean": 5.26875,
        "std": 0.0,
        "min": 5.26875,
        "max": 5.26875
      },
      {
        "layer_name": " Delegate/convolution_2d 4 -> relu 5:2",
        "mean": 16.5594,
        "std": 0.0,
        "min": 16.5594,
        "max": 16.5594
      },
      {
        "layer_name": " Delegate/depthwise_convolution 6 -> relu 7:3",
        "mean": 4.54375,
        "std": 0.0,
        "min": 4.54375,
        "max": 4.54375
      },
      {
        "layer_name": " Delegate/convolution_2d 8 -> relu 9:4",
        "mean": 16.1906,
        "std": 0.0,
        "min": 16.1906,
        "max": 16.1906
      },
      {
        "layer_name": " Delegate/depthwise_convolution 10 -> relu 11:5",
        "mean": 4.56875,
        "std": 0.0,
        "min": 4.56875,
        "max": 4.56875
      },
      {
        "layer_name": " Delegate/convolution_2d 12 -> relu 13:6",
        "mean": 15.450000000000001,
        "std": 0.0,
        "min": 15.450000000000001,
        "max": 15.450000000000001
      },
      {
        "layer_name": " Delegate/depthwise_convolution 14 -> relu 15:7",
        "mean": 4.546869999999999,
        "std": 0.0,
        "min": 4.546869999999999,
        "max": 4.546869999999999
      },
      {
        "layer_name": " Delegate/convolution_2d 16 -> relu 17:8",
        "mean": 16.7,
        "std": 0.0,
        "min": 16.7,
        "max": 16.7
      },
      {
        "layer_name": " Delegate/mean 18:9",
        "mean": 19.412499999999998,
        "std": 0.0,
        "min": 19.412499999999998,
        "max": 19.412499999999998
      },
      {
        "layer_name": " Delegate/fully_connected 20:10",
        "mean": 4.634379999999999,
        "std": 0.0,
        "min": 4.634379999999999,
        "max": 4.634379999999999
      },
      {
        "layer_name": " Delegate/softmax 21:11",
        "mean": 3.61875,
        "std": 0.0,
        "min": 3.61875,
        "max": 3.61875
      }
    ]
  },
  "preprocess_time": {
    "mean": null,
    "std": null,
    "min": null,
    "max": null
  },
  "postprocess_time": {
    "mean": null,
    "std": null,
    "min": null,
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  },
  "accuracy": null
}