Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
EdgeTAM

Profile Job Results

Jobs
j576lmj9g
Results Ready
Name
edgetam_video_decoder
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_embeddings: uint8[1, 64, 64, 256]
high_res_features1: uint8[1, 256, 256, 32]
high_res_features2: uint8[1, 128, 128, 64]
sparse_embedding: uint8[1, 3, 256]
Completion Time
5/31/2026, 4:45:32 PM
Versions
  • LiteRT: 1.4.3
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.05.27.0
Estimated Inference Time
5.92 ms
Estimated Peak Memory Usage
0 ‑ 249 MB
Compute Units
NPU
874
StageTimeMemory
First App Load
3.52 s208‑215 MB
Subsequent App Load
170 ms2‑252 MB
Inference
5.92 ms0‑249 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

Sign up to run this model on a hosted Qualcomm® device!

Run on device