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Jobs
j5wq31mj5
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]
position_ids: int32[1]
k_cache_self_0_in: float32[12, 1, 64, 199]
v_cache_self_0_in: float32[12, 1, 199, 64]
attention_mask: float32[1, 1, 1, 200]
k_cache_cross_0: float32[12, 1, 64, 1500]
v_cache_cross_0: float32[12, 1, 1500, 64]
k_cache_self_1_in: float32[12, 1, 64, 199]
v_cache_self_1_in: float32[12, 1, 199, 64]
k_cache_cross_1: float32[12, 1, 64, 1500]
v_cache_cross_1: float32[12, 1, 1500, 64]
k_cache_self_2_in: float32[12, 1, 64, 199]
v_cache_self_2_in: float32[12, 1, 199, 64]
k_cache_cross_2: float32[12, 1, 64, 1500]
v_cache_cross_2: float32[12, 1, 1500, 64]
k_cache_self_3_in: float32[12, 1, 64, 199]
v_cache_self_3_in: float32[12, 1, 199, 64]
k_cache_cross_3: float32[12, 1, 64, 1500]
v_cache_cross_3: float32[12, 1, 1500, 64]
k_cache_self_4_in: float32[12, 1, 64, 199]
v_cache_self_4_in: float32[12, 1, 199, 64]
k_cache_cross_4: float32[12, 1, 64, 1500]
v_cache_cross_4: float32[12, 1, 1500, 64]
k_cache_self_5_in: float32[12, 1, 64, 199]
v_cache_self_5_in: float32[12, 1, 199, 64]
k_cache_cross_5: float32[12, 1, 64, 1500]
v_cache_cross_5: float32[12, 1, 1500, 64]
k_cache_self_6_in: float32[12, 1, 64, 199]
v_cache_self_6_in: float32[12, 1, 199, 64]
k_cache_cross_6: float32[12, 1, 64, 1500]
v_cache_cross_6: float32[12, 1, 1500, 64]
k_cache_self_7_in: float32[12, 1, 64, 199]
v_cache_self_7_in: float32[12, 1, 199, 64]
k_cache_cross_7: float32[12, 1, 64, 1500]
v_cache_cross_7: float32[12, 1, 1500, 64]
k_cache_self_8_in: float32[12, 1, 64, 199]
v_cache_self_8_in: float32[12, 1, 199, 64]
k_cache_cross_8: float32[12, 1, 64, 1500]
v_cache_cross_8: float32[12, 1, 1500, 64]
k_cache_self_9_in: float32[12, 1, 64, 199]
v_cache_self_9_in: float32[12, 1, 199, 64]
k_cache_cross_9: float32[12, 1, 64, 1500]
v_cache_cross_9: float32[12, 1, 1500, 64]
k_cache_self_10_in: float32[12, 1, 64, 199]
v_cache_self_10_in: float32[12, 1, 199, 64]
k_cache_cross_10: float32[12, 1, 64, 1500]
v_cache_cross_10: float32[12, 1, 1500, 64]
k_cache_self_11_in: float32[12, 1, 64, 199]
v_cache_self_11_in: float32[12, 1, 199, 64]
k_cache_cross_11: float32[12, 1, 64, 1500]
v_cache_cross_11: float32[12, 1, 1500, 64]
Completion Time
10/25/2025, 3:16:55 PM
Options
--qairt_version latest
Versions
  • QAIRT: v2.39.0.250925215840_163802
  • QNN Backend API: 5.39.0
  • QNN Core API: 2.29.0
  • Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
  • Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
  • AI Hub: aihub-2025.10.21.0
Estimated Inference Time
10.3 ms
Estimated Peak Memory Usage
118 ‑ 130 MB
Compute Units
NPU
2302
StageTimeMemory
First App Load
166 ms1‑8 MB
Subsequent App Load
156 ms1‑13 MB
Inference
10.3 ms118‑130 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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