Profile Job Results
Jobs
jp29n44xg
Results Ready
Name
gpunet_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/5/2025, 5:39:24 AM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
1.24 ms
Estimated Peak Memory Usage
0 ‑ 90 MB
Compute Units
NPU
7
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.30 s | 162‑163 MB |
Subsequent App Load | 1.26 s | 192‑194 MB |
Inference | 1.24 ms | 0‑90 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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