Profile Job Results
Jobs
jpyx9l105
Results Ready
Name
eyegaze
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 96, 160]Completion Time
9/5/2026, 4:00:24 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
1.89 ms
Estimated Peak Memory Usage
0 ‑ 57 MB
Compute Units
NPU
370
| Stage | Time | Memory |
|---|---|---|
First App Load | 798 ms | 73‑82 MB |
Subsequent App Load | 210 ms | 0‑58 MB |
Inference | 1.89 ms | 0‑57 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device