Profile Job Results
Jobs
jp4v64kvp
Results Ready
Name
efficientnet_v2_s_float
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
12/14/2025, 5:07:25 AM
Versions
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
10.9 ms
Estimated Peak Memory Usage
0 ‑ 36 MB
Compute Units
NPU
507
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.42 s | 361‑371 MB |
Subsequent App Load | 8.30 s | 370‑522 MB |
Inference | 10.9 ms | 0‑36 MB |
| QNN | Value |
|---|---|
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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