Profile Job Results
Jobs
jp0ezv2n5
Results Ready
Name
eyegaze
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 96, 160]Completion Time
5/2/2026, 7:57:16 AM
Options
--compute_unit cpuVersions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 1.1.0
- 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-2026.04.25.0
Estimated Inference Time
29.1 ms
Estimated Peak Memory Usage
10 ‑ 21 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 287 ms | 41‑47 MB |
Subsequent App Load | 220 ms | 25‑41 MB |
Inference | 29.1 ms | 10‑21 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device