Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5wy6m9mg
Results Ready
Name
melotts_en_bert_wrapper
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, 200]
token_type_ids: int32[1, 200]
attention_mask: int32[1, 200]
Completion Time
10/3/2026, 7:13:27 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
9.93 ms
Estimated Peak Memory Usage
0 ‑ 4 MB
Compute Units
NPU
312
StageTimeMemory
First App Load
338 ms2‑3 MB
Subsequent App Load
310 ms2‑3 MB
Inference
9.93 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