Profile Job Results
Jobs
jp1ekwnlg
Results Ready
Name
unet_segmentation_w8a8
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
12/13/2025, 5:38:42 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
34.4 ms
Estimated Peak Memory Usage
0 ‑ 904 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.38 s | 366‑367 MB |
Subsequent App Load | 1.33 s | 381‑384 MB |
Inference | 34.4 ms | 0‑904 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