Profile Job Results
Jobs
jp4lmjrv5
Results Ready
Name
resnet101_quantized
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: uint8[1, 224, 224, 3]Completion Time
11/26/2024, 4:18:39 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
16.8 ms
Estimated Peak Memory Usage
0 ‑ 7 MB
Compute Units
NPU
246
Stage | Time | Memory |
---|---|---|
First App Load | 577 ms | 21‑27 MB |
Subsequent App Load | 392 ms | 2‑8 MB |
Inference | 16.8 ms | 0‑7 MB |
QNN | Value |
---|---|
default_graph_options.htp_options.precision | FLOAT16 |
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