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FFNet-78S-Quantized

Profile Job Results

Jobs
jgdn3oje5
Results Ready
Name
ffnet_78s_quantized
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
3/11/2025, 9:04:04 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
84.2 ms
Estimated Peak Memory Usage
6 ‑ 18 MB
Compute Units
NPU
238
StageTimeMemory
First App Load
332 ms0‑11 MB
Subsequent App Load
199 ms0‑11 MB
Inference
84.2 ms6‑18 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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