Profile Job Results
Jobs
jpev90w15
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
3/7/2026, 9:42:39 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
26.3 ms
Estimated Peak Memory Usage
14 ‑ 333 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.65 s | 404‑411 MB |
Subsequent App Load | 214 ms | 112‑431 MB |
Inference | 26.3 ms | 14‑333 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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