Profile Job Results
Jobs
jmg9qk3mp
Results Ready
Name
convnext_tiny
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
8/27/2024, 8:54:14 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
3.24 ms
Estimated Peak Memory Usage
0 - 3 MB
Compute Units
NPU
328
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.03 s | 822-823 MB |
Subsequent App Load | 208 ms | 0-449 MB |
Inference | 3.24 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 |
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