Profile Job Results
Jobs
jgl0m1d8g
Results Ready
Name
efficientvit_l2_cls
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
3/14/2026, 10:18:20 PM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
5.32 ms
Estimated Peak Memory Usage
0 ‑ 236 MB
Compute Units
NPU
338
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.26 s | 545‑553 MB |
Subsequent App Load | 197 ms | 71‑309 MB |
Inference | 5.32 ms | 0‑236 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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