Profile Job Results
Jobs
j1glk6nlp
Results Ready
Name
riffusion_quantized_TextEncoder_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: int32[1, 77]Completion Time
5/21/2024, 5:43:21 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
7.05 ms
Estimated Peak Memory Usage
0 ‑ 67 MB
Compute Units
NPU
569
| Stage | Time | Memory |
|---|---|---|
First App Load | 251 ms | 1‑3 MB |
Subsequent App Load | 207 ms | 1‑2 MB |
Inference | 7.05 ms | 0‑67 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device