Profile Job Results
Jobs
jgnnj1lvg
Results Ready
Name
bevformer
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[6, 3, 480, 800]can_bus: float32[18]prev_bev: float32[1, 50, 50, 256]use_prev_bev: float32[1]lidar2img: float32[1, 6, 4, 4]Completion Time
9/5/2026, 12:33:51 PM
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-2026.08.28.1
Estimated Inference Time
1.67 s
Estimated Peak Memory Usage
0 ‑ 1 GB
Compute Units
NPU
1634
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.22 min | 1 GB |
Subsequent App Load | 337 ms | 0‑1 GB |
Inference | 1.67 s | 0‑1 GB |
| 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device