Profile Job Results
Jobs
jpv6ewxj5
Results Ready
Name
beit
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, 3:47:55 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.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
269 ms
Estimated Peak Memory Usage
1 ‑ 8 MB
Compute Units
NPU
420
| Stage | Time | Memory |
|---|---|---|
First App Load | 512 ms | 3‑9 MB |
Subsequent App Load | 557 ms | 14‑20 MB |
Inference | 269 ms | 1‑8 MB |
| QNN | Value |
|---|---|
| default_graph_options.htp_options.precision | FLOAT16 |
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