Profile Job Results
Jobs
jgdq0nrz5
Results Ready
Name
bisenet
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
8/3/2025, 12:40:46 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN TfLite Delegate: v2.34.2.250528164111_119506-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
60.7 ms
Estimated Peak Memory Usage
32 ‑ 65 MB
Compute Units
NPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.40 s | 127‑133 MB |
Subsequent App Load | 3.46 s | 166‑217 MB |
Inference | 60.7 ms | 32‑65 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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