Profile Job Results
Jobs
jpyrqw3l5
Results Ready
Name
bisenet
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
5/6/2025, 7:27:09 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
28.0 ms
Estimated Peak Memory Usage
32 ‑ 108 MB
Compute Units
NPU
63
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.47 s | 193‑194 MB |
Subsequent App Load | 1.65 s | 221‑223 MB |
Inference | 28.0 ms | 32‑108 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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