Profile Job Results
Jobs
jgjlx4v7p
Results Ready
Name
bgnet
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
3/8/2026, 2:02:35 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
11.6 ms
Estimated Peak Memory Usage
0 ‑ 300 MB
Compute Units
NPU
360
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.25 s | 404‑413 MB |
Subsequent App Load | 171 ms | 65‑360 MB |
Inference | 11.6 ms | 0‑300 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device