Profile Job Results
Jobs
jgnendwkg
Results Ready
Name
beit
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
2/22/2026, 8:01:56 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
23.0 ms
Estimated Peak Memory Usage
1 ‑ 508 MB
Compute Units
NPU
430
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.5 s | 869‑877 MB |
Subsequent App Load | 290 ms | 1‑510 MB |
Inference | 23.0 ms | 1‑508 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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