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Profile Job Results

Jobs
jgn1vo7qp
Results Ready
Name
pipertts_it_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
10/3/2026, 9:41:40 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
17.1 ms
Estimated Peak Memory Usage
4 ‑ 12 MB
Compute Units
NPU
310
StageTimeMemory
First App Load
257 ms2‑3 MB
Subsequent App Load
207 ms2‑3 MB
Inference
17.1 ms4‑12 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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