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Jobs
jgj24ln15
Results Ready
Name
whisper_small_float_HfWhisperDecoder
Target Device
  • Snapdragon 8 Elite Gen 5 QRD
  • Android 16
  • Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]
attention_mask: float16[1, 1, 1, 200]
k_cache_self_0_in: float16[12, 1, 64, 199]
v_cache_self_0_in: float16[12, 1, 199, 64]
k_cache_self_1_in: float16[12, 1, 64, 199]
v_cache_self_1_in: float16[12, 1, 199, 64]
k_cache_self_2_in: float16[12, 1, 64, 199]
v_cache_self_2_in: float16[12, 1, 199, 64]
k_cache_self_3_in: float16[12, 1, 64, 199]
v_cache_self_3_in: float16[12, 1, 199, 64]
k_cache_self_4_in: float16[12, 1, 64, 199]
v_cache_self_4_in: float16[12, 1, 199, 64]
k_cache_self_5_in: float16[12, 1, 64, 199]
v_cache_self_5_in: float16[12, 1, 199, 64]
k_cache_self_6_in: float16[12, 1, 64, 199]
v_cache_self_6_in: float16[12, 1, 199, 64]
k_cache_self_7_in: float16[12, 1, 64, 199]
v_cache_self_7_in: float16[12, 1, 199, 64]
k_cache_self_8_in: float16[12, 1, 64, 199]
v_cache_self_8_in: float16[12, 1, 199, 64]
k_cache_self_9_in: float16[12, 1, 64, 199]
v_cache_self_9_in: float16[12, 1, 199, 64]
k_cache_self_10_in: float16[12, 1, 64, 199]
v_cache_self_10_in: float16[12, 1, 199, 64]
k_cache_self_11_in: float16[12, 1, 64, 199]
v_cache_self_11_in: float16[12, 1, 199, 64]
k_cache_cross_0: float16[12, 1, 64, 1500]
v_cache_cross_0: float16[12, 1, 1500, 64]
k_cache_cross_1: float16[12, 1, 64, 1500]
v_cache_cross_1: float16[12, 1, 1500, 64]
k_cache_cross_2: float16[12, 1, 64, 1500]
v_cache_cross_2: float16[12, 1, 1500, 64]
k_cache_cross_3: float16[12, 1, 64, 1500]
v_cache_cross_3: float16[12, 1, 1500, 64]
k_cache_cross_4: float16[12, 1, 64, 1500]
v_cache_cross_4: float16[12, 1, 1500, 64]
k_cache_cross_5: float16[12, 1, 64, 1500]
v_cache_cross_5: float16[12, 1, 1500, 64]
k_cache_cross_6: float16[12, 1, 64, 1500]
v_cache_cross_6: float16[12, 1, 1500, 64]
k_cache_cross_7: float16[12, 1, 64, 1500]
v_cache_cross_7: float16[12, 1, 1500, 64]
k_cache_cross_8: float16[12, 1, 64, 1500]
v_cache_cross_8: float16[12, 1, 1500, 64]
k_cache_cross_9: float16[12, 1, 64, 1500]
v_cache_cross_9: float16[12, 1, 1500, 64]
k_cache_cross_10: float16[12, 1, 64, 1500]
v_cache_cross_10: float16[12, 1, 1500, 64]
k_cache_cross_11: float16[12, 1, 64, 1500]
v_cache_cross_11: float16[12, 1, 1500, 64]
position_ids: int32[1]
Completion Time
10/4/2025, 6:17:12 PM
Versions
  • QAIRT: v2.38.0.250901140452_125126
  • QNN Backend API: 5.38.0
  • QNN Core API: 2.28.1
  • Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
  • Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
  • AI Hub: aihub-2025.09.26.0
Estimated Inference Time
7.32 ms
Estimated Peak Memory Usage
56 ‑ 63 MB
Compute Units
NPU
2302
StageTimeMemory
First App Load
149 ms1‑7 MB
Subsequent App Load
159 ms1‑8 MB
Inference
7.32 ms56‑63 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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