Profile Job Results
Jobs
j5mzm1wqp
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
2/22/2026, 1:09:02 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-2026.02.14.0
Estimated Inference Time
66.6 ms
Estimated Peak Memory Usage
11 ‑ 23 MB
Compute Units
CPU
481
| Stage | Time | Memory |
|---|---|---|
First App Load | 104 ms | 27‑34 MB |
Subsequent App Load | 78.3 ms | 17‑35 MB |
Inference | 66.6 ms | 11‑23 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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