Profile Job Results
Jobs
jp03dq0np
Results Ready
Name
bisenet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
5/6/2025, 7:27:11 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
20.8 ms
Estimated Peak Memory Usage
31 ‑ 79 MB
Compute Units
NPU
63
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.46 s | 349‑356 MB |
Subsequent App Load | 1.47 s | 380‑482 MB |
Inference | 20.8 ms | 31‑79 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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