Profile Job Results
Jobs
jgzvj6m4p
Results Ready
Name
bevfusion_det_encoder_2
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
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
5/9/2026, 10:16:52 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
3.67 s
Estimated Peak Memory Usage
1 ‑ 12 MB
Compute Units
NPU
316
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.21 s | 573‑579 MB |
Subsequent App Load | 1.20 s | 540‑547 MB |
Inference | 3.67 s | 1‑12 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 |
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