Profile Job Results
Jobs
jpvvyrdmp
Results Ready
Name
unet_segmentation_float
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: float32[1, 640, 1280, 3]Completion Time
12/13/2025, 5:36:38 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
90.4 ms
Estimated Peak Memory Usage
5 ‑ 124 MB
Compute Units
NPU
31
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.20 s | 587‑596 MB |
Subsequent App Load | 5.33 s | 523‑750 MB |
Inference | 90.4 ms | 5‑124 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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