Profile Job Results
Jobs
j1glq72mp
Results Ready
Name
hrnet_pose_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: uint8[1, 256, 192, 3]Completion Time
8/27/2024, 10:46:38 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
0.91 ms
Estimated Peak Memory Usage
0 - 30 MB
Compute Units
NPU
487
| Stage | Time | Memory |
|---|---|---|
First App Load | 952 ms | 217-224 MB |
Subsequent App Load | 871 ms | 13-116 MB |
Inference | 0.91 ms | 0-30 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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