Profile Job Results
Jobs
jp2wmx7mp
Results Ready
Name
bevdet_encoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 18, 256, 704]Completion Time
8/22/2026, 1:46:15 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
81.2 ms
Estimated Peak Memory Usage
3 ‑ 324 MB
Compute Units
NPU
141
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.74 s | 407‑416 MB |
Subsequent App Load | 239 ms | 1‑323 MB |
Inference | 81.2 ms | 3‑324 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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