Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5wq31xj5
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: float32[1, 1, 1, 200]
k_cache_self_0_in: float32[12, 1, 64, 199]
v_cache_self_0_in: float32[12, 1, 199, 64]
k_cache_self_1_in: float32[12, 1, 64, 199]
v_cache_self_1_in: float32[12, 1, 199, 64]
k_cache_self_2_in: float32[12, 1, 64, 199]
v_cache_self_2_in: float32[12, 1, 199, 64]
k_cache_self_3_in: float32[12, 1, 64, 199]
v_cache_self_3_in: float32[12, 1, 199, 64]
k_cache_self_4_in: float32[12, 1, 64, 199]
v_cache_self_4_in: float32[12, 1, 199, 64]
k_cache_self_5_in: float32[12, 1, 64, 199]
v_cache_self_5_in: float32[12, 1, 199, 64]
k_cache_self_6_in: float32[12, 1, 64, 199]
v_cache_self_6_in: float32[12, 1, 199, 64]
k_cache_self_7_in: float32[12, 1, 64, 199]
v_cache_self_7_in: float32[12, 1, 199, 64]
k_cache_self_8_in: float32[12, 1, 64, 199]
v_cache_self_8_in: float32[12, 1, 199, 64]
k_cache_self_9_in: float32[12, 1, 64, 199]
v_cache_self_9_in: float32[12, 1, 199, 64]
k_cache_self_10_in: float32[12, 1, 64, 199]
v_cache_self_10_in: float32[12, 1, 199, 64]
k_cache_self_11_in: float32[12, 1, 64, 199]
v_cache_self_11_in: float32[12, 1, 199, 64]
k_cache_cross_0: float32[12, 1, 64, 1500]
v_cache_cross_0: float32[12, 1, 1500, 64]
k_cache_cross_1: float32[12, 1, 64, 1500]
v_cache_cross_1: float32[12, 1, 1500, 64]
k_cache_cross_2: float32[12, 1, 64, 1500]
v_cache_cross_2: float32[12, 1, 1500, 64]
k_cache_cross_3: float32[12, 1, 64, 1500]
v_cache_cross_3: float32[12, 1, 1500, 64]
k_cache_cross_4: float32[12, 1, 64, 1500]
v_cache_cross_4: float32[12, 1, 1500, 64]
k_cache_cross_5: float32[12, 1, 64, 1500]
v_cache_cross_5: float32[12, 1, 1500, 64]
k_cache_cross_6: float32[12, 1, 64, 1500]
v_cache_cross_6: float32[12, 1, 1500, 64]
k_cache_cross_7: float32[12, 1, 64, 1500]
v_cache_cross_7: float32[12, 1, 1500, 64]
k_cache_cross_8: float32[12, 1, 64, 1500]
v_cache_cross_8: float32[12, 1, 1500, 64]
k_cache_cross_9: float32[12, 1, 64, 1500]
v_cache_cross_9: float32[12, 1, 1500, 64]
k_cache_cross_10: float32[12, 1, 64, 1500]
v_cache_cross_10: float32[12, 1, 1500, 64]
k_cache_cross_11: float32[12, 1, 64, 1500]
v_cache_cross_11: float32[12, 1, 1500, 64]
position_ids: int32[1]
Completion Time
10/25/2025, 1:55:12 PM
Options
--qairt_version 2.37
Versions
  • ONNX Runtime: 1.23.0
  • QAIRT: v2.37.1.250807093845_124904
  • 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
10.6 ms
Estimated Peak Memory Usage
95 ‑ 105 MB
Compute Units
NPU
2302
StageTimeMemory
First App Load
186 ms352‑358 MB
Subsequent App Load
174 ms346‑357 MB
Inference
10.6 ms95‑105 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