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Profile Job Results

Jobs
jgly74085
Results Ready
Name
bevformer
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[6, 3, 480, 800]
can_bus: float32[18]
prev_bev: float32[1, 50, 50, 256]
use_prev_bev: float32[1]
lidar2img: float32[1, 6, 4, 4]
Completion Time
9/19/2026, 12:41:57 PM
Options
--qairt_version latest
Versions
  • QAIRT: v2.50.0.260828221209
  • QNN Backend API: 5.50.0
  • QNN Core API: 2.39.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.09.11.0
Estimated Inference Time
1.34 s
Estimated Peak Memory Usage
29 ‑ 1,003 MB
Compute Units
NPU
1634
StageTimeMemory
First App Load
1.07 min1 GB
Subsequent App Load
327 ms0‑1 GB
Inference
1.34 s29‑1,003 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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