Profile Job Results
Jobs
jp16481l5
Results Ready
Name
bevfusion_det_encoder_2
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
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
7/25/2026, 10:47:38 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
3.38 s
Estimated Peak Memory Usage
17 ‑ 27 MB
Compute Units
NPU
316
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.83 s | 566‑571 MB |
Subsequent App Load | 2.38 s | 590‑600 MB |
Inference | 3.38 s | 17‑27 MB |
| QNN | Value |
|---|---|
| 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 |
| device_options.htp_options[0].device_id | 1 |
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