Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
EdgeTAM

Profile Job Results

Jobs
jp1q2812g
Results Ready
Name
edgetam_encoder
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 1024, 1024, 3]
unnorm_coords: float32[1, 2, 2]
labels: float32[1, 2]
Completion Time
5/3/2026, 2:56:59 AM
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-2026.04.25.0
Estimated Inference Time
16.6 ms
Estimated Peak Memory Usage
15 ‑ 366 MB
Compute Units
NPU
295
StageTimeMemory
First App Load
8.72 s331‑337 MB
Subsequent App Load
202 ms62‑414 MB
Inference
16.6 ms15‑366 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