Profile Job Results
Jobs
j1p89zvqg
Results Ready
Name
riffusion_quantized_VAEDecoder_Quantized
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1
: uint16[1, 64, 64, 4]Completion Time
10/3/2024, 11:26:21 PM
Versions
- QNN: v2.26.0.240827110523_99241
- QNN Backend API: 5.26.0
- QNN Core API: 2.19.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.10.01.0
Estimated Inference Time
240 ms
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
170
Stage | Time | Memory |
---|---|---|
First App Load | 332 ms | 1‑2 MB |
Subsequent App Load | 306 ms | 1‑2 MB |
Inference | 240 ms | 0‑1 MB |
QNN | Value |
---|---|
context_options.htp_options.performance_mode | BURST |
default_graph_options.htp_options.precision | FLOAT16 |
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