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EdgeTAM

Profile Job Results

Jobs
jper9n6vg
Results Ready
Name
edgetam_decoder
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_embeddings: float32[1, 64, 64, 256]
high_res_features1: float32[1, 256, 256, 32]
high_res_features2: float32[1, 128, 128, 64]
sparse_embedding: float32[1, 3, 256]
Completion Time
4/25/2026, 5:51:03 PM
Versions
  • LiteRT: 1.4.2
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.04.13.0
Estimated Inference Time
3.75 ms
Estimated Peak Memory Usage
0 ‑ 214 MB
Compute Units
NPU
750
StageTimeMemory
First App Load
2.36 s200‑207 MB
Subsequent App Load
177 ms55‑268 MB
Inference
3.75 ms0‑214 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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