Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jglyrn3e5
Results Ready
Name
whisper_medium_quantized_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]
k_cache_cross_0: uint8[16, 1, 64, 1500]
k_cache_cross_1: uint8[16, 1, 64, 1500]
k_cache_cross_10: uint8[16, 1, 64, 1500]
k_cache_cross_11: uint8[16, 1, 64, 1500]
k_cache_cross_12: uint8[16, 1, 64, 1500]
k_cache_cross_13: uint8[16, 1, 64, 1500]
k_cache_cross_14: uint8[16, 1, 64, 1500]
k_cache_cross_15: uint8[16, 1, 64, 1500]
k_cache_cross_16: uint8[16, 1, 64, 1500]
k_cache_cross_17: uint8[16, 1, 64, 1500]
k_cache_cross_18: uint8[16, 1, 64, 1500]
k_cache_cross_19: uint8[16, 1, 64, 1500]
k_cache_cross_2: uint8[16, 1, 64, 1500]
k_cache_cross_20: uint8[16, 1, 64, 1500]
k_cache_cross_21: uint8[16, 1, 64, 1500]
k_cache_cross_22: uint8[16, 1, 64, 1500]
k_cache_cross_23: uint8[16, 1, 64, 1500]
k_cache_cross_3: uint8[16, 1, 64, 1500]
k_cache_cross_4: uint8[16, 1, 64, 1500]
k_cache_cross_5: uint8[16, 1, 64, 1500]
k_cache_cross_6: uint8[16, 1, 64, 1500]
k_cache_cross_7: uint8[16, 1, 64, 1500]
k_cache_cross_8: uint8[16, 1, 64, 1500]
k_cache_cross_9: uint8[16, 1, 64, 1500]
k_cache_self_0_in: uint8[16, 1, 64, 199]
k_cache_self_10_in: uint8[16, 1, 64, 199]
k_cache_self_11_in: uint8[16, 1, 64, 199]
k_cache_self_12_in: uint8[16, 1, 64, 199]
k_cache_self_13_in: uint8[16, 1, 64, 199]
k_cache_self_14_in: uint8[16, 1, 64, 199]
k_cache_self_15_in: uint8[16, 1, 64, 199]
k_cache_self_16_in: uint8[16, 1, 64, 199]
k_cache_self_17_in: uint8[16, 1, 64, 199]
k_cache_self_18_in: uint8[16, 1, 64, 199]
k_cache_self_19_in: uint8[16, 1, 64, 199]
k_cache_self_1_in: uint8[16, 1, 64, 199]
k_cache_self_20_in: uint8[16, 1, 64, 199]
k_cache_self_21_in: uint8[16, 1, 64, 199]
k_cache_self_22_in: uint8[16, 1, 64, 199]
k_cache_self_23_in: uint8[16, 1, 64, 199]
k_cache_self_2_in: uint8[16, 1, 64, 199]
k_cache_self_3_in: uint8[16, 1, 64, 199]
k_cache_self_4_in: uint8[16, 1, 64, 199]
k_cache_self_5_in: uint8[16, 1, 64, 199]
k_cache_self_6_in: uint8[16, 1, 64, 199]
k_cache_self_7_in: uint8[16, 1, 64, 199]
k_cache_self_8_in: uint8[16, 1, 64, 199]
k_cache_self_9_in: uint8[16, 1, 64, 199]
position_ids: int32[1]
v_cache_cross_0: uint8[16, 1, 1500, 64]
v_cache_cross_1: uint8[16, 1, 1500, 64]
v_cache_cross_10: uint8[16, 1, 1500, 64]
v_cache_cross_11: uint8[16, 1, 1500, 64]
v_cache_cross_12: uint8[16, 1, 1500, 64]
v_cache_cross_13: uint8[16, 1, 1500, 64]
v_cache_cross_14: uint8[16, 1, 1500, 64]
v_cache_cross_15: uint8[16, 1, 1500, 64]
v_cache_cross_16: uint8[16, 1, 1500, 64]
v_cache_cross_17: uint8[16, 1, 1500, 64]
v_cache_cross_18: uint8[16, 1, 1500, 64]
v_cache_cross_19: uint8[16, 1, 1500, 64]
v_cache_cross_2: uint8[16, 1, 1500, 64]
v_cache_cross_20: uint8[16, 1, 1500, 64]
v_cache_cross_21: uint8[16, 1, 1500, 64]
v_cache_cross_22: uint8[16, 1, 1500, 64]
v_cache_cross_23: uint8[16, 1, 1500, 64]
v_cache_cross_3: uint8[16, 1, 1500, 64]
v_cache_cross_4: uint8[16, 1, 1500, 64]
v_cache_cross_5: uint8[16, 1, 1500, 64]
v_cache_cross_6: uint8[16, 1, 1500, 64]
v_cache_cross_7: uint8[16, 1, 1500, 64]
v_cache_cross_8: uint8[16, 1, 1500, 64]
v_cache_cross_9: uint8[16, 1, 1500, 64]
v_cache_self_0_in: uint8[16, 1, 199, 64]
v_cache_self_10_in: uint8[16, 1, 199, 64]
v_cache_self_11_in: uint8[16, 1, 199, 64]
v_cache_self_12_in: uint8[16, 1, 199, 64]
v_cache_self_13_in: uint8[16, 1, 199, 64]
v_cache_self_14_in: uint8[16, 1, 199, 64]
v_cache_self_15_in: uint8[16, 1, 199, 64]
v_cache_self_16_in: uint8[16, 1, 199, 64]
v_cache_self_17_in: uint8[16, 1, 199, 64]
v_cache_self_18_in: uint8[16, 1, 199, 64]
v_cache_self_19_in: uint8[16, 1, 199, 64]
v_cache_self_1_in: uint8[16, 1, 199, 64]
v_cache_self_20_in: uint8[16, 1, 199, 64]
v_cache_self_21_in: uint8[16, 1, 199, 64]
v_cache_self_22_in: uint8[16, 1, 199, 64]
v_cache_self_23_in: uint8[16, 1, 199, 64]
v_cache_self_2_in: uint8[16, 1, 199, 64]
v_cache_self_3_in: uint8[16, 1, 199, 64]
v_cache_self_4_in: uint8[16, 1, 199, 64]
v_cache_self_5_in: uint8[16, 1, 199, 64]
v_cache_self_6_in: uint8[16, 1, 199, 64]
v_cache_self_7_in: uint8[16, 1, 199, 64]
v_cache_self_8_in: uint8[16, 1, 199, 64]
v_cache_self_9_in: uint8[16, 1, 199, 64]
attention_mask: uint16[1, 1, 1, 200]
Completion Time
10/3/2026, 10:25:27 AM
Versions
  • ONNX Runtime: 1.30.0
  • QAIRT: v2.50.0.260828221209
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.25.0
Estimated Inference Time
25.0 ms
Estimated Peak Memory Usage
77 ‑ 161 MB
Compute Units
NPU
7425
StageTimeMemory
First App Load
817 ms517‑518 MB
Subsequent App Load
754 ms517‑518 MB
Inference
25.0 ms77‑161 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"

Sign up to run this model on a hosted Qualcomm® device!

Run on device