Profile Job Results
Jobs
j5w9686mp
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder2
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
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
1/11/2026, 7:36:01 AM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
3.46 s
Estimated Peak Memory Usage
16 ‑ 26 MB
Compute Units
NPU
283
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.59 s | 576‑586 MB |
Subsequent App Load | 2.41 s | 604‑614 MB |
Inference | 3.46 s | 16‑26 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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