Profile Job Results
Jobs
j5w3mjj3p
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
8/2/2025, 2:57:32 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
153 ms
Estimated Peak Memory Usage
3 ‑ 468 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.19 s | 581‑582 MB |
Subsequent App Load | 6.41 s | 550‑552 MB |
Inference | 153 ms | 3‑468 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