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Jobs
jp2rjkrqg
Results Ready
Name
whisper_large_v3_turbo_encoder
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_features: float16[1, 128, 3000]
Completion Time
9/19/2026, 11:55:52 AM
Options
--qairt_version latest --max_profiler_iterations 10
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
708 ms
Estimated Peak Memory Usage
1 ‑ 34 MB
Compute Units
NPU
5026
StageTimeMemory
First App Load
1.48 s3‑4 MB
Subsequent App Load
904 ms3‑4 MB
Inference
708 ms1‑34 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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