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Jobs
jp2ernlqp
Results Ready
Name
whisper_large_v3_turbo_decoder
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_ids: int32[1, 1]
position_ids: int32[1]
k_cache_self_0_in: float16[20, 1, 64, 199]
v_cache_self_0_in: float16[20, 1, 199, 64]
attention_mask: float16[1, 1, 1, 200]
k_cache_cross_0: float16[20, 1, 64, 1500]
v_cache_cross_0: float16[20, 1, 1500, 64]
k_cache_self_1_in: float16[20, 1, 64, 199]
v_cache_self_1_in: float16[20, 1, 199, 64]
k_cache_cross_1: float16[20, 1, 64, 1500]
v_cache_cross_1: float16[20, 1, 1500, 64]
k_cache_self_2_in: float16[20, 1, 64, 199]
v_cache_self_2_in: float16[20, 1, 199, 64]
k_cache_cross_2: float16[20, 1, 64, 1500]
v_cache_cross_2: float16[20, 1, 1500, 64]
k_cache_self_3_in: float16[20, 1, 64, 199]
v_cache_self_3_in: float16[20, 1, 199, 64]
k_cache_cross_3: float16[20, 1, 64, 1500]
v_cache_cross_3: float16[20, 1, 1500, 64]
Completion Time
8/8/2026, 3:58:12 PM
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-2026.07.31.1
Estimated Inference Time
12.4 ms
Estimated Peak Memory Usage
33 ‑ 73 MB
Compute Units
NPU
1213
StageTimeMemory
First App Load
300 ms2 MB
Subsequent App Load
346 ms2 MB
Inference
12.4 ms33‑73 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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