Profile Job Results
Jobs
jpyddnq7p
Results Ready
Name
pidnet_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
1/31/2026, 11:40:25 PM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
53.5 ms
Estimated Peak Memory Usage
24 ‑ 261 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.1 s | 320‑326 MB |
Subsequent App Load | 211 ms | 1‑236 MB |
Inference | 53.5 ms | 24‑261 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device