Profile Job Results
Jobs
jpvvr39zp
Results Ready
Name
eyegaze_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]Completion Time
10/26/2025, 5:22:01 AM
Options
--qairt_version latest --compute_unit cpuVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 1.1.0
- QNN Core API: 2.29.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
49.8 ms
Estimated Peak Memory Usage
36 ‑ 41 MB
Compute Units
CPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 39.5 ms | 0‑1 MB |
Subsequent App Load | 39.1 ms | 0‑2 MB |
Inference | 49.8 ms | 36‑41 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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