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Profile Job Results

Jobs
jgnzx44vg
Results Ready
Name
mobile_bert_uncased_google
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_tokens: int32[1, 384]
attention_masks: uint16[1, 384]
mask_indices: int32[1]
Completion Time
9/20/2026, 1:54:18 AM
Options
--qairt_version latest
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-2026.09.11.0
Estimated Inference Time
9.03 ms
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
2045
StageTimeMemory
First App Load
12.2 s276 MB
Subsequent App Load
209 ms3 MB
Inference
9.03 ms0‑3 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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