Profile Job Results
Jobs
j7gjlzx8p
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
5/21/2024, 5:21:21 PM
Versions
- QNN: v2.22.0.240425235059_92863
- QNN Backend API: 5.22.0
- QNN Core API: 2.15.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.05.15.0
Estimated Inference Time
128 ms
Estimated Peak Memory Usage
0 ‑ 13 MB
Compute Units
NPU
4933
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.01 s | 2‑4 MB |
Subsequent App Load | 499 ms | 2‑3 MB |
Inference | 128 ms | 0‑13 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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