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EdgeTAM

Profile Job Results

Jobs
jp2j20yq5
Results Ready
Name
edgetam_video_decoder
Target Device
  • Samsung Galaxy S22 5G
  • Android 12
  • Snapdragon® 8 Gen 1 | SM8450
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
6/14/2026, 2:20:58 AM
Versions
  • LiteRT: 1.4.4
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2026.06.08.2
Estimated Inference Time
9.39 ms
Estimated Peak Memory Usage
0 ‑ 231 MB
Compute Units
NPU
895
StageTimeMemory
First App Load
2.69 s242‑249 MB
Subsequent App Load
180 ms18‑251 MB
Inference
9.39 ms0‑231 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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