Profile Job Results
Jobs
jp3mmlvng
Results Ready
Name
efficientvit_b2_cls_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
2/1/2026, 10:09:19 AM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
7.17 ms
Estimated Peak Memory Usage
0 ‑ 165 MB
Compute Units
NPU
379
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.01 s | 619‑627 MB |
Subsequent App Load | 185 ms | 0‑167 MB |
Inference | 7.17 ms | 0‑165 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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