Profile Job Results
Jobs
jpv06l475
Results Ready
Name
efficientnet_v2_s
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
4/8/2025, 5:55:30 PM
Versions
- QAIRT: v2.32.0.250228225014_116386-auto
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
1.00 min
Estimated Peak Memory Usage
656 ‑ 10,116 GB
Compute Units
NPU
506
Stage | Time | Memory |
---|---|---|
First App Load | 6.68 min | 320‑9,584 GB |
Subsequent App Load | 7.33 min | 264‑9,983 GB |
Inference | 1.00 min | 656‑10,116 GB |
QNN | Value |
---|---|
default_graph_options.htp_options.precision | FLOAT16 |
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