Profile Job Results
Jobs
jgk3w18w5
Results Ready
Name
bgnet_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
12/14/2025, 9:14:37 AM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
38.8 ms
Estimated Peak Memory Usage
2 ‑ 67 MB
Compute Units
NPU
412
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.66 s | 706‑715 MB |
Subsequent App Load | 8.83 s | 757‑986 MB |
Inference | 38.8 ms | 2‑67 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 |
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