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214490 - stm32mp257 tflite

Summary: Test completed with status: SUCCESS. Mean inference time: 6661 ms.

Model Details

  • model name : DSCNN.tflite

Logs Details

user.log
Run command : benchmark_model --graph=DSCNN.tflite  --enable_op_profiling=true --report_peak_memory_footprint=true  --profiling_output_csv_file=log.csv --op_profiling_output_mode=csv --external_delegate_path=/usr/lib/libvx_delegate.so.2 --num_runs 20
ERROR: hybrid data type is not supported in conv2d. 
ERROR: hybrid data type is not supported in conv2d. 
ERROR: hybrid data type is not supported in conv2d. 
ERROR: hybrid data type is not supported in conv2d. 
ERROR: hybrid data type is not supported in conv2d. 
Error in cpuinfo: prctl(PR_SVE_GET_VL) failed 
INFO: Created TensorFlow Lite XNNPACK delegate for CPU. 
W [HandleLayoutInfer:332]Op 162: default layout inference pass. 
End of command : benchmark_model
error.log

Report Details

report.json
{
  "version": 0,
  "target_id": "stm32mp257-0002-0000",
  "version_tag": "",
  "date": "2026-07-21T22:09:42.",
  "target": "stm32mp257",
  "inference_engine": "tflite",
  "model_file_name": "DSCNN.tflite",
  "benchmark_type": "TYPE1",
  "nb_inference": 146,
  "ram_size": 3960655872,
  "ram_peak_usage": 1.9745448866909283,
  "flash_size": 4022501376,
  "flash_usage": 0.0010787317627508003,
  "load_cpu": 42.20714285714285,
  "load_accelerator": null,
  "temperature": null,
  "ambiant_temperature": null,
  "power_consumption": 4.311168,
  "energy_efficiency": null,
  "model_size": 43392,
  "nb_parameters_model": null,
  "GFLOPs": null,
  "inference_latency": {
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    "troughput": null,
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  "preprocess_time": {
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}