Profile Job Results
Jobs
jqp42mw2g
Results Ready
Name
convnext_tiny_w8a16_quantized
Target Device
- Samsung Galaxy S24+
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint16[1, 224, 224, 3]Completion Time
8/27/2024, 8:56:19 AM
Versions
- QNN: v2.25.0.240728104910_97711
- QNN Backend API: 5.25.0
- QNN Core API: 2.18.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
2.44 ms
Estimated Peak Memory Usage
0 - 33 MB
Compute Units
NPU
215
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.07 s | 362-370 MB |
Subsequent App Load | 999 ms | 219-371 MB |
Inference | 2.44 ms | 0-33 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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