Profile Job Results
Jobs
jpy4k6n0p
Results Ready
Name
bevfusion_det_encoder_1
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
imgs: float32[1, 18, 256, 704]Completion Time
4/18/2026, 8:14:49 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
1.07 s
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
636
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.84 s | 10‑19 MB |
Subsequent App Load | 2.72 s | 17‑25 MB |
Inference | 1.07 s | 0‑9 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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