Profile Job Results
Jobs
jnp18yl2g
Results Ready
Name
riffusion_quantized_VAEDecoder_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]Completion Time
5/21/2024, 5:13:49 PM
Versions
- QNN: v2.22.0.240425235059_92863
- QNN Backend API: 5.22.0
- QNN Core API: 2.15.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.05.15.0
Estimated Inference Time
176 ms
Estimated Peak Memory Usage
0 ‑ 64 MB
Compute Units
NPU
170
| Stage | Time | Memory |
|---|---|---|
First App Load | 221 ms | 2‑9 MB |
Subsequent App Load | 224 ms | 2‑10 MB |
Inference | 176 ms | 0‑64 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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