Profile Job Results

Jobs
j5q22k475
Results Ready
Name
bevdet_float
Target Device
  • Snapdragon 8 Elite Gen 5 QRD
  • Android 16
  • Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 18, 256, 704]
sensor2keyegos: float32[1, 6, 4, 4]
inv_intrins: float32[1, 6, 3, 3]
inv_post_rots: float32[1, 6, 3, 3]
post_trans: float32[1, 6, 1, 3]
Completion Time
2/1/2026, 11:06:03 AM
Options
--compute_unit cpu
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 16 (BQ2A.251217.002-BP2A.250705.008)
  • Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
  • AI Hub: aihub-2026.01.22.0
Estimated Inference Time
1.07 s
Estimated Peak Memory Usage
89 ‑ 100 MB
Compute Units
CPU
492
StageTimeMemory
First App Load
86.3 ms165‑172 MB
Subsequent App Load
82.8 ms171‑184 MB
Inference
1.07 s89‑100 MB
TensorFlow LiteValue
number_of_threads4
XNNPACK DelegateValue

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