Profile Job Results
Jobs
jgnev0nkg
Results Ready
Name
gpunet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
1/11/2026, 12:36:44 AM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
4.65 ms
Estimated Peak Memory Usage
1 ‑ 125 MB
Compute Units
NPU
7
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.54 s | 197‑205 MB |
Subsequent App Load | 523 ms | 1‑125 MB |
Inference | 4.65 ms | 1‑125 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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