Profile Job Results
Jobs
jp1en7e2g
Results Ready
Name
hrnet_w48_ocr_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
11/29/2025, 11:34:32 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
19.9 s
Estimated Peak Memory Usage
3 ‑ 348 MB
Compute Units
CPU
579
| Stage | Time | Memory |
|---|---|---|
First App Load | 42.2 s | 2 GB |
Subsequent App Load | 5.76 s | 2‑3 GB |
Inference | 19.9 s | 3‑348 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
Sign up to run this model on a hosted Qualcomm® device!
Run on device







