Profile Job Results
Jobs
jpv6eqe75
Results Ready
Name
swin_tiny
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: float32[1, 224, 224, 3]Completion Time
11/26/2024, 10:27:38 AM
Versions
- QNN: v2.28.0.241029232508_102474-auto
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
94.3 ms
Estimated Peak Memory Usage
1 ‑ 6 MB
Compute Units
NPU
709
Stage | Time | Memory |
---|---|---|
First App Load | 509 ms | 1‑7 MB |
Subsequent App Load | 450 ms | 4‑10 MB |
Inference | 94.3 ms | 1‑6 MB |
QNN | Value |
---|---|
default_graph_options.htp_options.precision | FLOAT16 |
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