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Profile Job Results

Jobs
jpe7234o5
Results Ready
Name
grootn15_dit
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
actions: float32[1, 16, 32]
vlm_proj_keys_7: float32[1, 32, 384, 48]
vlm_proj_keys_6: float32[1, 32, 384, 48]
vlm_proj_keys_5: float32[1, 32, 384, 48]
vlm_proj_keys_4: float32[1, 32, 384, 48]
vlm_proj_keys_3: float32[1, 32, 384, 48]
vlm_proj_keys_2: float32[1, 32, 384, 48]
vlm_proj_keys_1: float32[1, 32, 384, 48]
vlm_proj_keys_0: float32[1, 32, 384, 48]
state: float32[1, 1, 64]
cross_attention_mask: float32[1, 32, 49, 384]
vlm_proj_values_0: float32[1, 32, 384, 48]
vlm_proj_values_1: float32[1, 32, 384, 48]
vlm_proj_values_2: float32[1, 32, 384, 48]
vlm_proj_values_3: float32[1, 32, 384, 48]
vlm_proj_values_4: float32[1, 32, 384, 48]
vlm_proj_values_5: float32[1, 32, 384, 48]
vlm_proj_values_6: float32[1, 32, 384, 48]
vlm_proj_values_7: float32[1, 32, 384, 48]
Completion Time
9/20/2026, 4:29:10 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
44.0 ms
Estimated Peak Memory Usage
38 ‑ 81 MB
Compute Units
NPU
2142
StageTimeMemory
First App Load
1.10 s843 MB
Subsequent App Load
1.09 s843 MB
Inference
44.0 ms38‑81 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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