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Jobs
jgjvodzeg
Results Ready
Name
whisper_base_en_WhisperDecoder
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
x: int32[1, 1]
index: int32[1, 1]
k_cache_cross: float32[6, 8, 64, 1500]
v_cache_cross: float32[6, 8, 1500, 64]
k_cache_self: float32[6, 8, 64, 224]
v_cache_self: float32[6, 8, 224, 64]
Completion Time
11/26/2024, 10:05:18 AM
Versions
  • QNN: v2.28.0.241029232508_102474-auto
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
26.9 ms
Estimated Peak Memory Usage
20 ‑ 26 MB
Compute Units
NPU
821
StageTimeMemory
First App Load
547 ms5‑11 MB
Subsequent App Load
633 ms1‑7 MB
Inference
26.9 ms20‑26 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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