Profile Job Results
Jobs
jgnenyvqg
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
2/21/2026, 1:02:23 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
20.5 ms
Estimated Peak Memory Usage
31 ‑ 288 MB
Compute Units
NPU
64
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.77 s | 277‑284 MB |
Subsequent App Load | 206 ms | 25‑282 MB |
Inference | 20.5 ms | 31‑288 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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