Profile Job Results
Jobs
jg9j77jl5
Results Ready
Name
riffusion_quantized_TextEncoder_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: int32[1, 77]Completion Time
6/4/2025, 6:00:38 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
4.65 ms
Estimated Peak Memory Usage
0 ‑ 21 MB
Compute Units
NPU
569
| Stage | Time | Memory |
|---|---|---|
First App Load | 165 ms | 0‑8 MB |
Subsequent App Load | 221 ms | 3‑10 MB |
Inference | 4.65 ms | 0‑21 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