Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
EdgeTAM

Profile Job Results

Jobs
jgl7j6vm5
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: 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, 2:21:52 AM
Versions
  • LiteRT: 1.4.4
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.06.08.2
Estimated Inference Time
4.04 ms
Estimated Peak Memory Usage
0 ‑ 246 MB
Compute Units
NPU
895
StageTimeMemory
First App Load
2.64 s234‑240 MB
Subsequent App Load
199 ms14‑262 MB
Inference
4.04 ms0‑246 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