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EdgeTAM

Profile Job Results

Jobs
jp2j914q5
Results Ready
Name
edgetam_memory_encoder
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
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
5/31/2026, 5:01:41 PM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.05.27.0
Estimated Inference Time
4.09 ms
Estimated Peak Memory Usage
0 ‑ 237 MB
Compute Units
NPU
296
StageTimeMemory
First App Load
6.67 s235‑242 MB
Subsequent App Load
184 ms1‑239 MB
Inference
4.09 ms0‑237 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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