214242 - qualcommrb3gen2 tflite
214242 - qualcommrb3gen2 tflite
Summary: Test completed with status: SUCCESS. Mean inference time: 152 ms.
Model Details
- model name : DSCNN.tflite
Logs Details
user.log
[33mINFO: Created TensorFlow Lite delegate for GPU. [0m
[33mW/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' [0m
[33mW/Adreno-CB (513695,513695): <cl_app_profiles_initialize:104>: Failed to load the app profiles library libadreno_app_profiles.so! [0m
[33mINFO: Initialized OpenCL-based API. [0m
[33mINFO: Created 1 GPU delegate kernels. [0merror.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": {
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"std": null,
"min": null,
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},
"postprocess_time": {
"mean": null,
"std": null,
"min": null,
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},
"accuracy": null
}