Profile Job Results
Jobs
jpv1kdmmp
Results Ready
Name
eyegaze
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]Completion Time
3/15/2026, 12:18:39 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 (UP1A.231005.007)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
33.6 ms
Estimated Peak Memory Usage
10 ‑ 23 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 66.0 ms | 8‑16 MB |
Subsequent App Load | 66.9 ms | 28‑46 MB |
Inference | 33.6 ms | 10‑23 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 |
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