Profile Job Results
Jobs
j5mzrynyp
Results Ready
Name
bgnet
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
3/7/2026, 11:29:10 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
37.0 ms
Estimated Peak Memory Usage
1 ‑ 415 MB
Compute Units
NPU
360
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.33 s | 709‑716 MB |
Subsequent App Load | 358 ms | 115‑530 MB |
Inference | 37.0 ms | 1‑415 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