Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jgdd011lg
Results Ready
Name
whisper_tiny_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]
position_ids: int32[1]
k_cache_self_0_in: float16[6, 1, 64, 199]
v_cache_self_0_in: float16[6, 1, 199, 64]
attention_mask: float16[1, 1, 1, 200]
k_cache_cross_0: float16[6, 1, 64, 1500]
v_cache_cross_0: float16[6, 1, 1500, 64]
k_cache_self_1_in: float16[6, 1, 64, 199]
v_cache_self_1_in: float16[6, 1, 199, 64]
k_cache_cross_1: float16[6, 1, 64, 1500]
v_cache_cross_1: float16[6, 1, 1500, 64]
k_cache_self_2_in: float16[6, 1, 64, 199]
v_cache_self_2_in: float16[6, 1, 199, 64]
k_cache_cross_2: float16[6, 1, 64, 1500]
v_cache_cross_2: float16[6, 1, 1500, 64]
k_cache_self_3_in: float16[6, 1, 64, 199]
v_cache_self_3_in: float16[6, 1, 199, 64]
k_cache_cross_3: float16[6, 1, 64, 1500]
v_cache_cross_3: float16[6, 1, 1500, 64]
Completion Time
9/19/2026, 10:38:12 AM
Options
--qairt_version latest
Versions
  • ONNX Runtime: 1.27.1
  • QAIRT: v2.50.0.260828221209
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.11.0
Estimated Inference Time
3.35 ms
Estimated Peak Memory Usage
10 ‑ 24 MB
Compute Units
NPU
509
StageTimeMemory
First App Load
316 ms103‑104 MB
Subsequent App Load
310 ms103‑104 MB
Inference
3.35 ms10‑24 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