Profile Job Results
Jobs
jgnk6wjvg
Results Ready
Name
bevdet_decoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
7/25/2026, 8:18:20 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-2026.07.17.0
Estimated Inference Time
8.81 ms
Estimated Peak Memory Usage
0 ‑ 170 MB
Compute Units
NPU
73
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.25 s | 272‑279 MB |
Subsequent App Load | 168 ms | 1‑173 MB |
Inference | 8.81 ms | 0‑170 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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