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ResNet-Mixed-Convolution-Quantized

Profile Job Results

Jobs
jgkv4yn2p
Results Ready
Name
resnet_mixed_quantized
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: uint8[1, 16, 112, 112, 3]
Completion Time
3/11/2025, 9:54:17 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
24.1 ms
Estimated Peak Memory Usage
1 ‑ 15 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
211 ms0‑7 MB
Subsequent App Load
157 ms0‑14 MB
Inference
24.1 ms1‑15 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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