Profile Job Results
Jobs
jg90my7lg
Results Ready
Name
shufflenet_v2_quantized
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: uint8[1, 224, 224, 3]Completion Time
3/11/2025, 8:13:46 PM
Versions
- QAIRT: v2.32.0.250228225014_116386
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
335 μs
Estimated Peak Memory Usage
0 ‑ 18 MB
Compute Units
NPU
160
| Stage | Time | Memory |
|---|---|---|
First App Load | 113 ms | 0‑8 MB |
Subsequent App Load | 107 ms | 0‑7 MB |
Inference | 335 μs | 0‑18 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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