Profile Job Results
Jobs
jp1wlz2lg
Results Ready
Name
bisenet
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 720, 960, 3]Completion Time
9/28/2025, 6:27:32 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN TfLite Delegate: v2.38.0.250901140452_125126-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
17.5 ms
Estimated Peak Memory Usage
8 ‑ 50 MB
Compute Units
NPU
68
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.1 s | 169‑175 MB |
Subsequent App Load | 10.2 s | 175‑301 MB |
Inference | 17.5 ms | 8‑50 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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