Profile Job Results
Jobs
jpey7xl05
Results Ready
Name
bevfusion_det_encoder_2
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
camera2lidars: float32[1, 6, 4, 4]img: float32[1, 6, 256, 32, 88]post_trans: float32[1, 6, 1, 3]inv_post_rots: float32[1, 6, 3, 3]intrins: float32[1, 6, 3, 3]Completion Time
8/8/2026, 9:21:13 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-2026.07.31.1
Estimated Inference Time
2.89 s
Estimated Peak Memory Usage
17 ‑ 29 MB
Compute Units
NPU
319
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.37 s | 552‑559 MB |
Subsequent App Load | 730 ms | 536‑548 MB |
Inference | 2.89 s | 17‑29 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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