Profile Job Results
Jobs
jgnlddlr5
Results Ready
Name
riffusion_quantized_UNet_Quantized
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
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, 6:05:09 PM
Versions
- QAIRT: v2.32.6.250402152434_116405
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.05.30.0
Estimated Inference Time
128 ms
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
4932
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.27 s | 1‑2 MB |
Subsequent App Load | 571 ms | 1‑3 MB |
Inference | 128 ms | 0‑2 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 |
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