214243 - qualcommrb3gen2 tflite
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
[33mINFO: Created TensorFlow Lite delegate for GPU. [0m
[33mW/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' [0m
[33mW/Adreno-CB (513927,513927): <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": "2026-07-21T22:05:29.",
"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": [
{
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"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,
"min": 5.387160000000001,
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{
"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,
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"min": 4.653700000000001,
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{
"layer_name": " Delegate/convolution_2d 8 -> relu 9 -> quantize_and_dequantize 26:4",
"mean": 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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{
"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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]
},
"preprocess_time": {
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},
"postprocess_time": {
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"accuracy": null
}