Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jgk6eedy5
Results Ready
Name
siglip2_image_encoder
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint16[1, 224, 224, 3]
Completion Time
10/4/2026, 3:53:01 PM
Versions
  • QAIRT: v2.50.0.260828221209
  • QNN Backend API: 5.50.0
  • QNN Core API: 2.39.0
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.25.0
Estimated Inference Time
5.82 ms
Estimated Peak Memory Usage
0 ‑ 4 MB
Compute Units
NPU
404
StageTimeMemory
First App Load
7.23 s369 MB
Subsequent App Load
207 ms2‑3 MB
Inference
5.82 ms0‑4 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