Profile Job Results
Jobs
jp20qq04g
Results Ready
Name
riffusion_quantized_UNet_Quantized
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: uint16[1, 64, 64, 4]input_2: uint16[1, 1280]input_3: uint16[1, 77, 768]Completion Time
6/4/2025, 6:05:10 PM
Versions
- QAIRT: v2.32.6.250402152434_116405
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.05.30.0
Estimated Inference Time
91.3 ms
Estimated Peak Memory Usage
0 ‑ 16 MB
Compute Units
NPU
4932
| Stage | Time | Memory |
|---|---|---|
First App Load | 920 ms | 1‑9 MB |
Subsequent App Load | 452 ms | 0‑17 MB |
Inference | 91.3 ms | 0‑16 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device