Profile Job Results
Jobs
jp4d1dm2p
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
8/23/2025, 8:16:08 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
153 ms
Estimated Peak Memory Usage
6 ‑ 238 MB
Compute Units
NPU
31
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.50 s | 605‑606 MB |
Subsequent App Load | 6.49 s | 592‑594 MB |
Inference | 153 ms | 6‑238 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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