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Jobs
jp8mqj8q5
Results Ready
Name
whisper_small_v2_HfWhisperDecoder
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
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
6/28/2025, 7:53:03 AM
Versions
  • QAIRT: v2.34.2.250528164111_119506
  • QNN Backend API: 5.34.0
  • QNN Core API: 2.25.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.06.12.0
Estimated Inference Time
11.8 ms
Estimated Peak Memory Usage
53 ‑ 56 MB
Compute Units
NPU
2277
StageTimeMemory
First App Load
870 ms1‑2 MB
Subsequent App Load
483 ms1‑3 MB
Inference
11.8 ms53‑56 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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