Profile Job Results
Jobs
j1p8q71kp
Results Ready
Name
controlnet_quantized_VAEDecoder_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: float32[1, 64, 64, 4]Completion Time
3/19/2024, 12:32:52 AM
Versions
- QNN: v2.19.0.240124133650_81096
- QNN Backend API: 5.19.0
- QNN Core API: 2.13.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.03.07.0
Estimated Inference Time
390 ms
Estimated Peak Memory Usage
0 - 36 MB
Compute Units
NPU
409
| Stage | Time | Memory |
|---|---|---|
First App Load | 561 ms | 2-4 MB |
Subsequent App Load | 415 ms | 1-2 MB |
Inference | 390 ms | 0-36 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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