Profile Job Results
Jobs
j5q3rnrop
Results Ready
Name
hrnet_w48_ocr_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
10/25/2025, 8:46:52 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
25.9 s
Estimated Peak Memory Usage
5 ‑ 326 MB
Compute Units
CPU
579
| Stage | Time | Memory |
|---|---|---|
First App Load | 47.6 s | 2 GB |
Subsequent App Load | 7.72 s | 2‑3 GB |
Inference | 25.9 s | 5‑326 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
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