Profile Job Results
Jobs
jg93v8elg
Results Ready
Name
bevfusion_det_encoder_1
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
imgs: float32[1, 18, 256, 704]Completion Time
4/25/2026, 10:32:00 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
524 ms
Estimated Peak Memory Usage
15 ‑ 22 MB
Compute Units
NPU
636
| Stage | Time | Memory |
|---|---|---|
First App Load | 847 ms | 3‑10 MB |
Subsequent App Load | 845 ms | 10‑18 MB |
Inference | 524 ms | 15‑22 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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