Profile Job Results
Jobs
jp2llyk4g
Results Ready
Name
bgnet_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
10/26/2025, 1:59:08 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
19.5 ms
Estimated Peak Memory Usage
2 ‑ 31 MB
Compute Units
NPU
412
| Stage | Time | Memory |
|---|---|---|
First App Load | 14.0 s | 719‑720 MB |
Subsequent App Load | 13.8 s | 742‑745 MB |
Inference | 19.5 ms | 2‑31 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device