Profile Job Results
Jobs
jprx32z9p
Results Ready
Name
bevdet_pooler
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
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
10/3/2026, 3:33:22 PM
Options
--compute_unit cpuVersions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 1.1.0
- QNN Core API: 2.39.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
221 ms
Estimated Peak Memory Usage
4 ‑ 22 MB
Compute Units
CPU
281
| Stage | Time | Memory |
|---|---|---|
First App Load | 283 ms | 391‑401 MB |
Subsequent App Load | 230 ms | 283‑303 MB |
Inference | 221 ms | 4‑22 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 |
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