214249 - qualcommrb3gen2 tflite
214249 - qualcommrb3gen2 tflite
Summary: Test completed with status: SUCCESS. Mean inference time: 162 ms.
Model Details
- model name : DeepAutoEncoder_int8.tflite
Logs Details
user.log
[33mINFO: Created TensorFlow Lite delegate for GPU. [0m
[33mW/Adreno-GSL (515372,515372): <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 (515372,515372): <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": "2026-07-21T22:06:27.",
"target": "qualcommrb3gen2",
"inference_engine": "tflite",
"model_file_name": "DeepAutoEncoder_int8.tflite",
"benchmark_type": "TYPE1",
"nb_inference": 312,
"ram_size": 5632770048,
"ram_peak_usage": 0.9394351899522101,
"flash_size": 116249661440,
"flash_usage": 0.00023825961862517406,
"load_cpu": 23.886363636363637,
"load_accelerator": null,
"temperature": null,
"ambiant_temperature": null,
"power_consumption": null,
"energy_efficiency": null,
"model_size": 276976,
"nb_parameters_model": null,
"GFLOPs": null,
"inference_latency": {
"mean": 161.538,
"std": 3.0,
"min": 154.0,
"max": 170.0,
"troughput": null,
"latency_per_layers": [
{
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"mean": 55.855799999999995,
"std": 0.0,
"min": 55.855799999999995,
"max": 55.855799999999995
},
{
"layer_name": " Delegate/fully_connected 2 -> relu 3 -> quantize_and_dequantize 20:1",
"mean": 13.163499999999999,
"std": 0.0,
"min": 13.163499999999999,
"max": 13.163499999999999
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{
"layer_name": " Delegate/fully_connected 4 -> relu 5 -> quantize_and_dequantize 21:2",
"mean": 12.9103,
"std": 0.0,
"min": 12.9103,
"max": 12.9103
},
{
"layer_name": " Delegate/fully_connected 6 -> relu 7 -> quantize_and_dequantize 22:3",
"mean": 12.9038,
"std": 0.0,
"min": 12.9038,
"max": 12.9038
},
{
"layer_name": " Delegate/fully_connected 8 -> relu 9 -> quantize_and_dequantize 23:4",
"mean": 7.6794899999999995,
"std": 0.0,
"min": 7.6794899999999995,
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{
"layer_name": " Delegate/fully_connected 10 -> relu 11 -> quantize_and_dequantize 24:5",
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{
"layer_name": " Delegate/fully_connected 12 -> relu 13 -> quantize_and_dequantize 25:6",
"mean": 12.7308,
"std": 0.0,
"min": 12.7308,
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},
{
"layer_name": " Delegate/fully_connected 14 -> relu 15 -> quantize_and_dequantize 26:7",
"mean": 12.7532,
"std": 0.0,
"min": 12.7532,
"max": 12.7532
},
{
"layer_name": " Delegate/fully_connected 16 -> relu 17 -> quantize_and_dequantize 27:8",
"mean": 13.1154,
"std": 0.0,
"min": 13.1154,
"max": 13.1154
},
{
"layer_name": " Delegate/fully_connected 18:9",
"mean": 16.708299999999998,
"std": 0.0,
"min": 16.708299999999998,
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}
]
},
"preprocess_time": {
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"std": null,
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},
"postprocess_time": {
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"min": null,
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},
"accuracy": null
}