Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpezjo91p
Results Ready
Name
pipertts_en_flow
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
attn_squeezed: float32[1, 1536, 512]
m_p: float32[1, 192, 512]
logs_p: float32[1, 192, 512]
noise_scale: float32[1]
y_mask: float32[1, 1, 1536]
Completion Time
9/5/2026, 7:58:27 AM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.08.28.1
Estimated Inference Time
17.3 ms
Estimated Peak Memory Usage
4 ‑ 11 MB
Compute Units
NPU
310
StageTimeMemory
First App Load
211 ms1‑2 MB
Subsequent App Load
229 ms2 MB
Inference
17.3 ms4‑11 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