Profile Job Results
Jobs
jgonv2w4p
Results Ready
Name
unet_segmentation
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
7/19/2025, 3:55:06 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
308 ms
Estimated Peak Memory Usage
2 ‑ 262 MB
Compute Units
NPU
38
| Stage | Time | Memory |
|---|---|---|
First App Load | 19.2 s | 657‑669 MB |
Subsequent App Load | 20.8 s | 598‑922 MB |
Inference | 308 ms | 2‑262 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