Profile Job Results
Jobs
j56zlw46g
Results Ready
Name
efficientnet_v2_s_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/5/2025, 12:49:52 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
1.88 ms
Estimated Peak Memory Usage
1 ‑ 64 MB
Compute Units
NPU
507
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.38 s | 378‑386 MB |
Subsequent App Load | 2.37 s | 450‑655 MB |
Inference | 1.88 ms | 1‑64 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| 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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