Profile Job Results
Jobs
jp88mmjkp
Results Ready
Name
eyegaze
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 96, 160]Completion Time
5/30/2026, 3:52:32 PM
Options
--compute_unit cpuVersions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 1.1.0
- QNN Core API: 2.34.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.05.27.0
Estimated Inference Time
29.4 ms
Estimated Peak Memory Usage
11 ‑ 25 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 99.8 ms | 17‑25 MB |
Subsequent App Load | 101 ms | 2‑23 MB |
Inference | 29.4 ms | 11‑25 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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