Profile Job Results
Jobs
j5mem61wp
Results Ready
Name
shufflenet_v2_quantized
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
3/11/2025, 8:13:49 PM
Versions
- QAIRT: v2.32.0.250228225014_116386
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
475 μs
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
160
| Stage | Time | Memory |
|---|---|---|
First App Load | 147 ms | 0‑1 MB |
Subsequent App Load | 149 ms | 0‑2 MB |
Inference | 475 μs | 0‑2 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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