214246 - qualcommrb3gen2 tflite
214246 - qualcommrb3gen2 tflite
Summary: Test completed with status: SUCCESS. Mean inference time: 331 ms.
Model Details
- model name : Resnet.tflite
Logs Details
user.log
[33mINFO: Created TensorFlow Lite delegate for GPU. [0m
[33mW/Adreno-GSL (514650,514650): <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 (514650,514650): <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": "2026-07-21T22:05:59.",
"target": "qualcommrb3gen2",
"inference_engine": "tflite",
"model_file_name": "Resnet.tflite",
"benchmark_type": "TYPE1",
"nb_inference": 294,
"ram_size": 5632770048,
"ram_peak_usage": 0.9552148506240601,
"flash_size": 116249661440,
"flash_usage": 0.0002736730550946196,
"load_cpu": 28.517857142857142,
"load_accelerator": null,
"temperature": null,
"ambiant_temperature": null,
"power_consumption": null,
"energy_efficiency": null,
"model_size": 318144,
"nb_parameters_model": null,
"GFLOPs": null,
"inference_latency": {
"mean": 330.711,
"std": 8.0,
"min": 312.0,
"max": 364.0,
"troughput": null,
"latency_per_layers": [
{
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"mean": 7.15306,
"std": 0.0,
"min": 7.15306,
"max": 7.15306
},
{
"layer_name": " Delegate/convolution_2d 2 -> relu 3:1",
"mean": 34.483,
"std": 0.0,
"min": 34.483,
"max": 34.483
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{
"layer_name": " Delegate/convolution_2d 4 -> add 5 -> relu 6:2",
"mean": 35.170100000000005,
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"min": 35.170100000000005,
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{
"layer_name": " Delegate/convolution_2d 7 -> relu 8:3",
"mean": 32.4932,
"std": 0.0,
"min": 32.4932,
"max": 32.4932
},
{
"layer_name": " Delegate/convolution_2d 9:4",
"mean": 62.486399999999996,
"std": 0.0,
"min": 62.486399999999996,
"max": 62.486399999999996
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{
"layer_name": " Delegate/convolution_2d 10 -> add 11 -> relu 12:5",
"mean": 8.455779999999999,
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{
"layer_name": " Delegate/convolution_2d 13 -> relu 14:6",
"mean": 43.4898,
"std": 0.0,
"min": 43.4898,
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},
{
"layer_name": " Delegate/convolution_2d 15:7",
"mean": 81.08160000000001,
"std": 0.0,
"min": 81.08160000000001,
"max": 81.08160000000001
},
{
"layer_name": " Delegate/convolution_2d 16 -> add 17 -> relu 18:8",
"mean": 8.35034,
"std": 0.0,
"min": 8.35034,
"max": 8.35034
},
{
"layer_name": " Delegate/mean 19:9",
"mean": 9.285710000000002,
"std": 0.0,
"min": 9.285710000000002,
"max": 9.285710000000002
},
{
"layer_name": " Delegate/fully_connected 21:10",
"mean": 4.65986,
"std": 0.0,
"min": 4.65986,
"max": 4.65986
},
{
"layer_name": " Delegate/softmax 22:11",
"mean": 3.60204,
"std": 0.0,
"min": 3.60204,
"max": 3.60204
}
]
},
"preprocess_time": {
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},
"postprocess_time": {
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},
"accuracy": null
}