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Profile Job Results

Jobs
jnp18yl2g
Results Ready
Name
riffusion_quantized_VAEDecoder_Quantized
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: uint16[1, 64, 64, 4]
Completion Time
5/21/2024, 5:13:49 PM
Versions
  • QNN: v2.22.0.240425235059_92863
  • QNN Backend API: 5.22.0
  • QNN Core API: 2.15.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2024.05.15.0
Estimated Inference Time
176 ms
Estimated Peak Memory Usage
0 ‑ 64 MB
Compute Units
NPU
170
StageTimeMemory
First App Load
221 ms2‑9 MB
Subsequent App Load
224 ms2‑10 MB
Inference
176 ms0‑64 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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