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EdgeTAM

Profile Job Results

Jobs
j57v2d8v5
Results Ready
Name
edgetam_encoder
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 1024, 1024, 3]
unnorm_coords: float32[1, 2, 2]
labels: float32[1, 2]
Completion Time
5/3/2026, 3:02:06 AM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.04.25.0
Estimated Inference Time
69.9 ms
Estimated Peak Memory Usage
0 ‑ 280 MB
Compute Units
NPU
302
StageTimeMemory
First App Load
29.3 s315‑321 MB
Subsequent App Load
581 ms0‑281 MB
Inference
69.9 ms0‑280 MB
QNNValue
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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