214247 - qualcommrb3gen2 tflite
214247 - qualcommrb3gen2 tflite
Summary: Test completed with status: SUCCESS. Mean inference time: 339 ms.
Model Details
- model name : Resnet_int8.tflite
Logs Details
user.log
[33mINFO: Created TensorFlow Lite delegate for GPU. [0m
[33mW/Adreno-GSL (514902,514902): <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 (514902,514902): <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": "2026-07-21T22:06:08.",
"target": "qualcommrb3gen2",
"inference_engine": "tflite",
"model_file_name": "Resnet_int8.tflite",
"benchmark_type": "TYPE1",
"nb_inference": 209,
"ram_size": 5632770048,
"ram_peak_usage": 0.958414413156601,
"flash_size": 116249661440,
"flash_usage": 8.472798869254066e-05,
"load_cpu": 30.071428571428573,
"load_accelerator": null,
"temperature": null,
"ambiant_temperature": null,
"power_consumption": null,
"energy_efficiency": null,
"model_size": 98496,
"nb_parameters_model": null,
"GFLOPs": null,
"inference_latency": {
"mean": 338.866,
"std": 8.0,
"min": 319.0,
"max": 389.0,
"troughput": null,
"latency_per_layers": [
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"std": 0.0,
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{
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"mean": 35.1579,
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{
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"mean": 36.7273,
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{
"layer_name": " Delegate/convolution_2d 7 -> relu 8 -> quantize_and_dequantize 27:3",
"mean": 34.4402,
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{
"layer_name": " Delegate/convolution_2d 9 -> quantize_and_dequantize 28:4",
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{
"layer_name": " Delegate/convolution_2d 10 -> quantize_and_dequantize 29 -> add 11 -> relu 12 -> quantize_and_dequantize 30:5",
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{
"layer_name": " Delegate/convolution_2d 13 -> relu 14 -> quantize_and_dequantize 31:6",
"mean": 42.8804,
"std": 0.0,
"min": 42.8804,
"max": 42.8804
},
{
"layer_name": " Delegate/convolution_2d 15 -> quantize_and_dequantize 32:7",
"mean": 80.37320000000001,
"std": 0.0,
"min": 80.37320000000001,
"max": 80.37320000000001
},
{
"layer_name": " Delegate/convolution_2d 16 -> quantize_and_dequantize 33 -> add 17 -> relu 18 -> quantize_and_dequantize 34:8",
"mean": 9.09569,
"std": 0.0,
"min": 9.09569,
"max": 9.09569
},
{
"layer_name": " Delegate/mean 19 -> quantize_and_dequantize 35 -> quantize_and_dequantize 36:9",
"mean": 9.36842,
"std": 0.0,
"min": 9.36842,
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{
"layer_name": " Delegate/fully_connected 21 -> quantize_and_dequantize 37:10",
"mean": 4.59809,
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},
{
"layer_name": " Delegate/softmax 22:11",
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]
},
"preprocess_time": {
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"postprocess_time": {
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"accuracy": null
}