Profile Job Results
Jobs
j5wd873zg
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
4/5/2026, 10:15:21 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
21.7 ms
Estimated Peak Memory Usage
1 ‑ 188 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.07 s | 353‑362 MB |
Subsequent App Load | 123 ms | 0‑188 MB |
Inference | 21.7 ms | 1‑188 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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