Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jwgovkyd5
Results Ready
Name
riffusion_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: uint16[1, 64, 64, 4]
Completion Time
5/21/2024, 5:30:50 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
234 ms
Estimated Peak Memory Usage
0 ‑ 46 MB
Compute Units
NPU
170
StageTimeMemory
First App Load
403 ms0‑3 MB
Subsequent App Load
284 ms2‑4 MB
Inference
234 ms0‑46 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

Sign up to run this model on a hosted Qualcomm® device!

Run on device