Profile Job Results
Jobs
jp29kno6g
Results Ready
Name
deepbox_VGG3DDetection
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 224, 224, 3]Completion Time
6/29/2025, 1:31:09 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN TfLite Delegate: v2.34.2.250528164111_119506-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-2025.06.12.0
Estimated Inference Time
8.92 ms
Estimated Peak Memory Usage
0 ‑ 74 MB
Compute Units
NPU
40
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.73 s | 593‑603 MB |
Subsequent App Load | 8.71 s | 622‑705 MB |
Inference | 8.92 ms | 0‑74 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