Profile Job Results
Jobs
jnp1om4l5
Results Ready
Name
fcn_resnet50_quantized
Target Device
- Samsung Galaxy S23 Ultra
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 512, 512, 3]Completion Time
8/11/2024, 8:32:56 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
14.8 ms
Estimated Peak Memory Usage
0 - 12 MB
Compute Units
NPU
78
| Stage | Time | Memory |
|---|---|---|
First App Load | 800 ms | 276-278 MB |
Subsequent App Load | 781 ms | 63-305 MB |
Inference | 14.8 ms | 0-12 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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