Profile Job Results
Jobs
j5q3xvkmp
Results Ready
Name
gpunet_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
12/14/2025, 2:16:18 AM
Versions
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
2.22 ms
Estimated Peak Memory Usage
1 ‑ 31 MB
Compute Units
NPU
7
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.41 s | 220‑226 MB |
Subsequent App Load | 2.35 s | 204‑337 MB |
Inference | 2.22 ms | 1‑31 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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