Profile Job Results
Jobs
jp8x7qz8g
Results Ready
Name
eyegaze
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 96, 160]Completion Time
8/22/2026, 1:02:10 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
4.77 ms
Estimated Peak Memory Usage
0 ‑ 40 MB
Compute Units
NPU
370
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.06 s | 34‑40 MB |
Subsequent App Load | 488 ms | 7‑48 MB |
Inference | 4.77 ms | 0‑40 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| 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