Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5m04wdqg
Results Ready
Name
melotts_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: uint16[1, 1536, 512]
logs_p: uint16[1, 192, 512]
noise_scale: uint16[1]
m_p: uint16[1, 192, 512]
y_mask: uint16[1, 1, 1536]
g: uint16[1, 256, 1]
Completion Time
9/19/2026, 3:15:40 PM
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
69.1 ms
Estimated Peak Memory Usage
2 ‑ 7 MB
Compute Units
NPU
737
StageTimeMemory
First App Load
289 ms2‑3 MB
Subsequent App Load
261 ms2‑3 MB
Inference
69.1 ms2‑7 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