Profile Job Results
Jobs
jgdq0n0z5
Results Ready
Name
bgnet
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
8/3/2025, 12:51:38 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
22.8 ms
Estimated Peak Memory Usage
1 ‑ 26 MB
Compute Units
NPU
361
| Stage | Time | Memory |
|---|---|---|
First App Load | 21.6 s | 1 GB |
Subsequent App Load | 21.3 s | 1 GB |
Inference | 22.8 ms | 1‑26 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 |
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