Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
EfficientNet-V2-s

Profile Job Results

Jobs
jpvrnldr5
Results Ready
Name
efficientnet_v2_s
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint16[1, 224, 224, 3]
Completion Time
9/14/2025, 8:27:58 AM
Versions
  • QAIRT: v2.37.0.250724175447_124859
  • QNN Backend API: 5.37.0
  • QNN Core API: 2.27.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.09.05.0
Estimated Inference Time
9.36 ms
Estimated Peak Memory Usage
0 ‑ 123 MB
Compute Units
NPU
507
StageTimeMemory
First App Load
10.2 s312‑323 MB
Subsequent App Load
10.9 s300‑487 MB
Inference
9.36 ms0‑123 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

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

Run on device