Profile Job Results

Jobs
jpr9rl8ep
Results Ready
Name
bevfusion_det_encoder_2
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
img: float32[1, 6, 256, 32, 88]
intrins: float32[1, 6, 3, 3]
camera2lidars: float32[1, 6, 4, 4]
inv_post_rots: float32[1, 6, 3, 3]
post_trans: float32[1, 6, 1, 3]
Completion Time
6/13/2026, 12:26:55 PM
Versions
  • ONNX Runtime: 1.25.0
  • QAIRT: v2.45.0.260326154327
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.06.08.2
Estimated Inference Time
2.78 s
Estimated Peak Memory Usage
577 ‑ 583 MB
Compute Units
NPU
316
StageTimeMemory
First App Load
836 ms38‑44 MB
Subsequent App Load
565 ms1‑7 MB
Inference
2.78 s577‑583 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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