Profile Job Results
Jobs
jp0l27qep
Results Ready
Name
bisenet_float
Target Device
- XR2 Gen 2 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
10/26/2025, 5:44:06 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
55.4 ms
Estimated Peak Memory Usage
32 ‑ 77 MB
Compute Units
NPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.30 s | 426‑435 MB |
Subsequent App Load | 2.15 s | 459‑633 MB |
Inference | 55.4 ms | 32‑77 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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