Profile Job Results
Jobs
j1p3oz7xp
Results Ready
Name
shufflenet_v2
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, 6:32:34 AM
Versions
- QNN: v2.24.0.240626131148_96320
- QNN Backend API: 5.24.0
- QNN Core API: 2.17.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
0.76 ms
Estimated Peak Memory Usage
1 - 2 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 211 ms | 3-4 MB |
Subsequent App Load | 174 ms | 1-2 MB |
Inference | 0.76 ms | 1-2 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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