Profile Job Results
Jobs
jmg9oq2mg
Results Ready
Name
convnext_tiny
Target Device
- SA8775 (Proxy)
- Android 13
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
8/11/2024, 9:00:52 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
5.65 ms
Estimated Peak Memory Usage
0 - 3 MB
Compute Units
NPU
328
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.25 s | 828-829 MB |
Subsequent App Load | 277 ms | 59-787 MB |
Inference | 5.65 ms | 0-3 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