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j5q4d08mg
Results Ready
Name
intern3_5_vl_2b_vision_encoder_intern3_5_vl_2b
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
pixel_values: uint16[1, 3, 448, 448]
Completion Time
10/17/2026, 7:54:58 AM
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-2026.10.10.0
Estimated Inference Time
187 ms
Estimated Peak Memory Usage
0 ‑ 5 MB
Compute Units
NPU
992
StageTimeMemory
First App Load
476 ms2‑3 MB
Subsequent App Load
427 ms2‑3 MB
Inference
187 ms0‑5 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

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