Profile Job Results
Jobs
j5729w4lp
Results Ready
Name
unet_segmentation
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
3/11/2025, 1:17:29 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
174 ms
Estimated Peak Memory Usage
6 ‑ 471 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.13 s | 689‑690 MB |
Subsequent App Load | 5.68 s | 539‑542 MB |
Inference | 174 ms | 6‑471 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 |
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