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Profile Job Results

Jobs
jp41vz88p
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
state: float32[1, 1, 64]
actions: float32[1, 16, 32]
cross_attention_mask: float32[1, 32, 49, 384]
vlm_proj_keys_0: float32[1, 32, 384, 48]
vlm_proj_keys_1: float32[1, 32, 384, 48]
vlm_proj_keys_2: float32[1, 32, 384, 48]
vlm_proj_keys_3: float32[1, 32, 384, 48]
vlm_proj_keys_4: float32[1, 32, 384, 48]
vlm_proj_keys_5: float32[1, 32, 384, 48]
vlm_proj_keys_6: float32[1, 32, 384, 48]
vlm_proj_keys_7: float32[1, 32, 384, 48]
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
8/22/2026, 9:40:11 AM
Versions
  • ONNX Runtime: 1.27.1
  • QAIRT: v2.45.0.260326154327
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.08.14.0
Estimated Inference Time
94.9 ms
Estimated Peak Memory Usage
38 ‑ 80 MB
Compute Units
NPU
1864
StageTimeMemory
First App Load
1.12 s840‑841 MB
Subsequent App Load
1.15 s840‑841 MB
Inference
94.9 ms38‑80 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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