Profile Job Results
Jobs
jp8m9yz85
Results Ready
Name
bgnet
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
9/28/2025, 5:03:34 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: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
34.7 ms
Estimated Peak Memory Usage
1 ‑ 139 MB
Compute Units
NPU
361
| Stage | Time | Memory |
|---|---|---|
First App Load | 58.9 s | 991‑1,000 MB |
Subsequent App Load | 59.4 s | 1 GB |
Inference | 34.7 ms | 1‑139 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 |
| htp_options.device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device