Profile Job Results
Jobs
j5qezx375
Results Ready
Name
hrnet_w48_ocr
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
5/6/2025, 3:34:26 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
57.3 s
Estimated Peak Memory Usage
7 ‑ 534 MB
Compute Units
NPU
578
| Stage | Time | Memory |
|---|---|---|
First App Load | 52.5 s | 3 GB |
Subsequent App Load | 59.5 s | 1,895‑120 MB |
Inference | 57.3 s | 7‑534 MB |
| TensorFlow Lite | 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.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device