Profile Job Results
Jobs
jg93nm2vg
Results Ready
Name
eyegaze
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]Completion Time
3/15/2026, 12:20:57 AM
Options
--compute_unit cpuVersions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 1.1.0
- QNN Core API: 2.32.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
234 ms
Estimated Peak Memory Usage
36 ‑ 50 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 214 ms | 27‑32 MB |
Subsequent App Load | 336 ms | 7‑25 MB |
Inference | 234 ms | 36‑50 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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