124381 - stm32mp257 tflite
124381 - stm32mp257 tflite
Summary: Pipeline succeeded and valid report was generated.
Model Details
- model name : movenet_singlepose_thunder_256_float.tflite
- model url : Download here
Logs Details
user.log
Run command : benchmark_model --graph=movenet_singlepose_thunder_256_float.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
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 74: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 131: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 131: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 97: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 74: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 131: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 131: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 97: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
End of command : benchmark_modelerror.log
Report Details
report.json
{
"GFLOPs": null,
"accuracy": null,
"ambiant_temperature": null,
"benchmark_type": "TYPE1",
"date": "2026-04-14T22:25:22.",
"energy_efficiency": null,
"flash_size": 4022501376,
"flash_usage": 0.6221401476532398,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " [StatefulPartitionedCall:0]:142",
"max": 970570.0,
"mean": 970570.0,
"min": 970570.0,
"std": 0.0
}
],
"max": 978544.0,
"mean": 970570.0,
"min": 964255.0,
"std": 3130.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 12.995412844036702,
"model_file_name": "movenet_singlepose_thunder_256_float.tflite",
"model_size": 25025596,
"nb_inference": 50,
"nb_parameters_model": null,
"postprocess_time": {
"max": null,
"mean": null,
"min": null,
"std": null
},
"power_consumption": 4.4730492,
"preprocess_time": {
"max": null,
"mean": null,
"min": null,
"std": null
},
"ram_peak_usage": 5.361975765209828,
"ram_size": 3960655872,
"target": "stm32mp257",
"target_id": "0000019b3644541660d0d293013141aa17bcc8f429d4a47cddedf1d892c9ec73",
"temperature": null,
"version": 0,
"version_tag": ""
}