Profile Job Results

Jobs
jvgd6dxep
Results Ready
Name
whisper_tiny_en_WhisperDecoder
Target Device
  • SA8775 (Proxy)
  • Android 13
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
x: int32[1, 1]
index: int32[1, 1]
k_cache_cross: float32[4, 6, 64, 1500]
v_cache_cross: float32[4, 6, 1500, 64]
k_cache_self: float32[4, 6, 64, 224]
v_cache_self: float32[4, 6, 224, 64]
Completion Time
8/11/2024, 5:38:50 AM
Versions
  • QNN: v2.24.0.240626131148_96320
  • QNN Backend API: 5.24.0
  • QNN Core API: 2.17.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.08.01.0
Estimated Inference Time
2.21 ms
Estimated Peak Memory Usage
10 - 11 MB
Compute Units
NPU
447
StageTimeMemory
First App Load
232 ms2-4 MB
Subsequent App Load
207 ms1-2 MB
Inference
2.21 ms10-11 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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