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EdgeTAM

Profile Job Results

Jobs
jpv2kz0kg
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: float32[1, 1, 1024, 1024]
pix_feat: float32[1, 256, 64, 64]
Completion Time
10/3/2026, 7:00:23 PM
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-2026.09.25.0
Estimated Inference Time
17.1 ms
Estimated Peak Memory Usage
0 ‑ 303 MB
Compute Units
NPU
301
StageTimeMemory
First App Load
10.2 s267‑274 MB
Subsequent App Load
174 ms93‑398 MB
Inference
17.1 ms0‑303 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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