Profile Job Results
Jobs
jp31mj7xg
Results Ready
Name
unet_segmentation
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
7/19/2025, 3:56:35 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN TfLite Delegate: v2.34.2.250528164111_119506-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
35.4 ms
Estimated Peak Memory Usage
1 ‑ 48 MB
Compute Units
NPU
38
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.70 s | 277‑288 MB |
Subsequent App Load | 6.91 s | 270‑336 MB |
Inference | 35.4 ms | 1‑48 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
| htp_options.device_id | 1 |
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