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EdgeTAM

Profile Job Results

Jobs
jgznl6dog
Results Ready
Name
edgetam_memory_encoder
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
mask_for_mem: uint8[1, 1, 1024, 1024]
pix_feat: uint8[1, 256, 64, 64]
Completion Time
8/8/2026, 10:34:48 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-2026.07.31.1
Estimated Inference Time
11.0 ms
Estimated Peak Memory Usage
1 ‑ 165 MB
Compute Units
NPU
270
StageTimeMemory
First App Load
21.9 s211‑216 MB
Subsequent App Load
498 ms66‑232 MB
Inference
11.0 ms1‑165 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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