Profile Job Results
Jobs
jp39yd1xp
Results Ready
Name
eyegaze
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 96, 160]Completion Time
9/5/2026, 4:05:59 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-2026.08.28.1
Estimated Inference Time
752 μs
Estimated Peak Memory Usage
0 ‑ 52 MB
Compute Units
NPU
473
| Stage | Time | Memory |
|---|---|---|
First App Load | 914 ms | 99‑106 MB |
Subsequent App Load | 164 ms | 7‑61 MB |
Inference | 752 μs | 0‑52 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