Profile Job Results
Jobs
j5ww4v765
Results Ready
Name
unet_segmentation
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
3/11/2025, 1:18:11 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
97.7 ms
Estimated Peak Memory Usage
5 ‑ 92 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.84 s | 844‑851 MB |
Subsequent App Load | 3.90 s | 703‑799 MB |
Inference | 97.7 ms | 5‑92 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