Profile Job Results
Jobs
jglkkqxlp
Results Ready
Name
eyegaze_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]Completion Time
2/1/2026, 6:12:04 AM
Options
--compute_unit cpuVersions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 1.1.0
- QNN Core API: 2.32.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
46.1 ms
Estimated Peak Memory Usage
33 ‑ 42 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 104 ms | 5‑10 MB |
Subsequent App Load | 100 ms | 2‑16 MB |
Inference | 46.1 ms | 33‑42 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 |
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