Profile Job Results
Jobs
jgonz6nxp
Results Ready
Name
bgnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
6/29/2025, 12:18:14 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
16.9 ms
Estimated Peak Memory Usage
0 ‑ 245 MB
Compute Units
NPU
361
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.1 s | 909‑916 MB |
Subsequent App Load | 17.4 s | 1 GB |
Inference | 16.9 ms | 0‑245 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device