Profile Job Results
Jobs
jpv6okqm5
Results Ready
Name
fcn_resnet50
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: float32[1, 520, 520, 3]Completion Time
1/21/2025, 3:24:52 PM
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.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
2.06 s
Estimated Peak Memory Usage
1 ‑ 12 MB
Compute Units
NPU
129
Stage | Time | Memory |
---|---|---|
First App Load | 558 ms | 0‑10 MB |
Subsequent App Load | 482 ms | 0‑9 MB |
Inference | 2.06 s | 1‑12 MB |
QNN | Value |
---|---|
default_graph_options.htp_options.precision | FLOAT16 |
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