Profile Job Results
Jobs
jgdql36l5
Results Ready
Name
beit_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/5/2025, 6:18:15 PM
Versions
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
22.1 ms
Estimated Peak Memory Usage
1 ‑ 321 MB
Compute Units
NPU
431
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.3 s | 1 GB |
Subsequent App Load | 20.9 s | 1‑2 GB |
Inference | 22.1 ms | 1‑321 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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