Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5qyjy24g
Results Ready
Name
whisper_base_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, 80, 3000]
Completion Time
9/5/2026, 10:49:19 AM
Options
--max_profiler_iterations 10
Versions
  • ONNX Runtime: 1.27.1
  • QAIRT: v2.45.0.260326154327
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.08.28.1
Estimated Inference Time
56.9 ms
Estimated Peak Memory Usage
37 ‑ 41 MB
Compute Units
NPU
556
StageTimeMemory
First App Load
324 ms57‑58 MB
Subsequent App Load
279 ms57‑58 MB
Inference
56.9 ms37‑41 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL
QNN Execution ProviderValue
htp_performance_mode"burst"
htp_graph_finalization_optimization_mode"3"
enable_htp_fp16_precision"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

Sign up to run this model on a hosted Qualcomm® device!

Run on device