Profile Job Results
Jobs
jgjeendx5
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder2
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
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
10/26/2025, 3:33:12 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
5.45 s
Estimated Peak Memory Usage
17 ‑ 27 MB
Compute Units
NPU
283
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.16 s | 593‑602 MB |
Subsequent App Load | 2.99 s | 598‑608 MB |
Inference | 5.45 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 |
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