Profile Job Results
Jobs
jp0rmok6p
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
2/24/2026, 8:06:41 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
21.8 ms
Estimated Peak Memory Usage
1 ‑ 187 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.13 s | 354‑363 MB |
Subsequent App Load | 125 ms | 33‑219 MB |
Inference | 21.8 ms | 1‑187 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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