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Jobs
jgnlddlr5
Results Ready
Name
riffusion_quantized_UNet_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]
input_2: uint16[1, 1280]
input_3: uint16[1, 77, 768]
Completion Time
6/4/2025, 6:05:09 PM
Versions
  • QAIRT: v2.32.6.250402152434_116405
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.05.30.0
Estimated Inference Time
128 ms
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
4932
StageTimeMemory
First App Load
1.27 s1‑2 MB
Subsequent App Load
571 ms1‑3 MB
Inference
128 ms0‑2 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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