Profile Job Results
Jobs
j574qm0q5
Results Ready
Name
bevdet_pooler
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
sensor2keyegos: float32[1, 6, 4, 4]inv_intrins: float32[1, 6, 3, 3]post_trans: float32[1, 6, 1, 3]inv_post_rots: float32[1, 6, 3, 3]depth: float32[1, 6, 59, 16, 44]feat: float32[1, 6, 64, 16, 44]Completion Time
9/5/2026, 4:04:24 PM
Options
--compute_unit cpuVersions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 1.1.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
150 ms
Estimated Peak Memory Usage
4 ‑ 14 MB
Compute Units
CPU
281
| Stage | Time | Memory |
|---|---|---|
First App Load | 93.7 ms | 5‑12 MB |
Subsequent App Load | 84.1 ms | 78‑91 MB |
Inference | 150 ms | 4‑14 MB |
| 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