Profile Job Results
Jobs
jgz368l65
Results Ready
Name
shufflenet_v2
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
1/8/2025, 2:32:41 AM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
513 μs
Estimated Peak Memory Usage
1 ‑ 22 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 315 ms | 23‑31 MB |
Subsequent App Load | 323 ms | 27‑72 MB |
Inference | 513 μs | 1‑22 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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