Profile Job Results

Jobs
jgj19rexg
Results Ready
Name
whisper_medium_decoder
Target Device
  • Samsung Galaxy S26
  • Android 16
  • Snapdragon® 8 Elite Gen 5 for Galaxy | SM8850-AD
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_ids: int32[1, 1]
attention_mask: float16[1, 1, 1, 200]
k_cache_self_0_in: float16[16, 1, 64, 199]
v_cache_self_0_in: float16[16, 1, 199, 64]
k_cache_self_1_in: float16[16, 1, 64, 199]
v_cache_self_1_in: float16[16, 1, 199, 64]
k_cache_self_2_in: float16[16, 1, 64, 199]
v_cache_self_2_in: float16[16, 1, 199, 64]
k_cache_self_3_in: float16[16, 1, 64, 199]
v_cache_self_3_in: float16[16, 1, 199, 64]
k_cache_self_4_in: float16[16, 1, 64, 199]
v_cache_self_4_in: float16[16, 1, 199, 64]
k_cache_self_5_in: float16[16, 1, 64, 199]
v_cache_self_5_in: float16[16, 1, 199, 64]
k_cache_self_6_in: float16[16, 1, 64, 199]
v_cache_self_6_in: float16[16, 1, 199, 64]
k_cache_self_7_in: float16[16, 1, 64, 199]
v_cache_self_7_in: float16[16, 1, 199, 64]
k_cache_self_8_in: float16[16, 1, 64, 199]
v_cache_self_8_in: float16[16, 1, 199, 64]
k_cache_self_9_in: float16[16, 1, 64, 199]
v_cache_self_9_in: float16[16, 1, 199, 64]
k_cache_self_10_in: float16[16, 1, 64, 199]
v_cache_self_10_in: float16[16, 1, 199, 64]
k_cache_self_11_in: float16[16, 1, 64, 199]
v_cache_self_11_in: float16[16, 1, 199, 64]
k_cache_self_12_in: float16[16, 1, 64, 199]
v_cache_self_12_in: float16[16, 1, 199, 64]
k_cache_self_13_in: float16[16, 1, 64, 199]
v_cache_self_13_in: float16[16, 1, 199, 64]
k_cache_self_14_in: float16[16, 1, 64, 199]
v_cache_self_14_in: float16[16, 1, 199, 64]
k_cache_self_15_in: float16[16, 1, 64, 199]
v_cache_self_15_in: float16[16, 1, 199, 64]
k_cache_self_16_in: float16[16, 1, 64, 199]
v_cache_self_16_in: float16[16, 1, 199, 64]
k_cache_self_17_in: float16[16, 1, 64, 199]
v_cache_self_17_in: float16[16, 1, 199, 64]
k_cache_self_18_in: float16[16, 1, 64, 199]
v_cache_self_18_in: float16[16, 1, 199, 64]
k_cache_self_19_in: float16[16, 1, 64, 199]
v_cache_self_19_in: float16[16, 1, 199, 64]
k_cache_self_20_in: float16[16, 1, 64, 199]
v_cache_self_20_in: float16[16, 1, 199, 64]
k_cache_self_21_in: float16[16, 1, 64, 199]
v_cache_self_21_in: float16[16, 1, 199, 64]
k_cache_self_22_in: float16[16, 1, 64, 199]
v_cache_self_22_in: float16[16, 1, 199, 64]
k_cache_self_23_in: float16[16, 1, 64, 199]
v_cache_self_23_in: float16[16, 1, 199, 64]
k_cache_cross_0: float16[16, 1, 64, 1500]
v_cache_cross_0: float16[16, 1, 1500, 64]
k_cache_cross_1: float16[16, 1, 64, 1500]
v_cache_cross_1: float16[16, 1, 1500, 64]
k_cache_cross_2: float16[16, 1, 64, 1500]
v_cache_cross_2: float16[16, 1, 1500, 64]
k_cache_cross_3: float16[16, 1, 64, 1500]
v_cache_cross_3: float16[16, 1, 1500, 64]
k_cache_cross_4: float16[16, 1, 64, 1500]
v_cache_cross_4: float16[16, 1, 1500, 64]
k_cache_cross_5: float16[16, 1, 64, 1500]
v_cache_cross_5: float16[16, 1, 1500, 64]
k_cache_cross_6: float16[16, 1, 64, 1500]
v_cache_cross_6: float16[16, 1, 1500, 64]
k_cache_cross_7: float16[16, 1, 64, 1500]
v_cache_cross_7: float16[16, 1, 1500, 64]
k_cache_cross_8: float16[16, 1, 64, 1500]
v_cache_cross_8: float16[16, 1, 1500, 64]
k_cache_cross_9: float16[16, 1, 64, 1500]
v_cache_cross_9: float16[16, 1, 1500, 64]
k_cache_cross_10: float16[16, 1, 64, 1500]
v_cache_cross_10: float16[16, 1, 1500, 64]
k_cache_cross_11: float16[16, 1, 64, 1500]
v_cache_cross_11: float16[16, 1, 1500, 64]
k_cache_cross_12: float16[16, 1, 64, 1500]
v_cache_cross_12: float16[16, 1, 1500, 64]
k_cache_cross_13: float16[16, 1, 64, 1500]
v_cache_cross_13: float16[16, 1, 1500, 64]
k_cache_cross_14: float16[16, 1, 64, 1500]
v_cache_cross_14: float16[16, 1, 1500, 64]
k_cache_cross_15: float16[16, 1, 64, 1500]
v_cache_cross_15: float16[16, 1, 1500, 64]
k_cache_cross_16: float16[16, 1, 64, 1500]
v_cache_cross_16: float16[16, 1, 1500, 64]
k_cache_cross_17: float16[16, 1, 64, 1500]
v_cache_cross_17: float16[16, 1, 1500, 64]
k_cache_cross_18: float16[16, 1, 64, 1500]
v_cache_cross_18: float16[16, 1, 1500, 64]
k_cache_cross_19: float16[16, 1, 64, 1500]
v_cache_cross_19: float16[16, 1, 1500, 64]
k_cache_cross_20: float16[16, 1, 64, 1500]
v_cache_cross_20: float16[16, 1, 1500, 64]
k_cache_cross_21: float16[16, 1, 64, 1500]
v_cache_cross_21: float16[16, 1, 1500, 64]
k_cache_cross_22: float16[16, 1, 64, 1500]
v_cache_cross_22: float16[16, 1, 1500, 64]
k_cache_cross_23: float16[16, 1, 64, 1500]
v_cache_cross_23: float16[16, 1, 1500, 64]
position_ids: int32[1]
Completion Time
6/13/2026, 12:31:52 PM
Versions
  • ONNX Runtime: 1.25.0
  • QAIRT: v2.45.0.260326154327
  • Android: 16 (BP4A.251205.006)
  • AI Hub: aihub-2026.06.08.2
Estimated Inference Time
25.2 ms
Estimated Peak Memory Usage
154 ‑ 166 MB
Compute Units
NPU
5889
StageTimeMemory
First App Load
960 ms862‑871 MB
Subsequent App Load
681 ms886‑898 MB
Inference
25.2 ms154‑166 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL
QNN Execution ProviderValue
htp_performance_mode"burst"
htp_graph_finalization_optimization_mode"3"
enable_htp_fp16_precision"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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