Profile Job Results
Jobs
jp0zd4r05
Results Ready
Name
unet_segmentation
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
11/26/2024, 10:14:10 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
274 ms
Estimated Peak Memory Usage
6 ‑ 106 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.27 s | 1,005‑1,011 MB |
Subsequent App Load | 9.46 s | 1 GB |
Inference | 274 ms | 6‑106 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 |
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