Profile Job Results

Jobs
jglkx34jp
Results Ready
Name
whisper_small_HfWhisperDecoder
Target Device
  • Dragonwing IQ-9075 EVK
  • Qualcomm Linux 1.7
  • Qualcomm® Dragonwing™ IQ-9075 | QCS9075
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
2/21/2026, 8:12:43 AM
Options
--qairt_version 2.42
Versions
  • ONNX Runtime: 1.24.1
  • QAIRT: v2.42.0.251225135753_193295
  • Qualcomm Linux: 1.7-ver.1.1
  • AI Hub: aihub-2026.02.14.0
Estimated Inference Time
13.3 ms
Estimated Peak Memory Usage
62 ‑ 124 MB
Compute Units
NPU
2302
StageTimeMemory
First App Load
371 ms357‑358 MB
Subsequent App Load
363 ms355‑356 MB
Inference
13.3 ms62‑124 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"2"
enable_htp_fp16_precision"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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