Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5qy3o1og
Results Ready
Name
owlv2_text
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_ids: int32[1, 16]
attention_mask: int32[1, 16]
image_embeds: float32[1, 60, 60, 768]
Completion Time
8/22/2026, 12:20:55 PM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.08.14.0
Estimated Inference Time
7.89 ms
Estimated Peak Memory Usage
11 ‑ 24 MB
Compute Units
NPU
1608
StageTimeMemory
First App Load
263 ms2 MB
Subsequent App Load
197 ms2 MB
Inference
7.89 ms11‑24 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