Profile Job Results
Jobs
jp3q17wm5
Results Ready
Name
eyegaze
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 96, 160]Completion Time
5/9/2026, 8:10:44 AM
Options
--compute_unit cpuVersions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 1.1.0
- QNN Core API: 2.34.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
23.3 ms
Estimated Peak Memory Usage
10 ‑ 20 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 144 ms | 21‑27 MB |
Subsequent App Load | 116 ms | 40‑55 MB |
Inference | 23.3 ms | 10‑20 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