Profile Job Results
Jobs
j5m6m6dyg
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: uint8[1, 640, 1280, 3]Completion Time
8/23/2025, 8:28:35 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN TfLite Delegate: v2.37.0.250724175447_124859-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
67.4 ms
Estimated Peak Memory Usage
2 ‑ 47 MB
Compute Units
NPU
41
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.03 s | 272‑278 MB |
Subsequent App Load | 3.04 s | 317‑436 MB |
Inference | 67.4 ms | 2‑47 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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