Profile Job Results
Jobs
jg94v1rm5
Results Ready
Name
eyegaze
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]Completion Time
3/8/2026, 9:52:29 PM
Options
--compute_unit cpuVersions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 1.1.0
- QNN Core API: 2.32.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
61.8 ms
Estimated Peak Memory Usage
11 ‑ 25 MB
Compute Units
CPU
481
| Stage | Time | Memory |
|---|---|---|
First App Load | 102 ms | 11‑20 MB |
Subsequent App Load | 91.4 ms | 28‑47 MB |
Inference | 61.8 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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