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EdgeTAM

Profile Job Results

Jobs
jgj0x83ep
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
4/25/2026, 5:51:09 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
16.6 ms
Estimated Peak Memory Usage
14 ‑ 362 MB
Compute Units
NPU
295
StageTimeMemory
First App Load
8.77 s350‑357 MB
Subsequent App Load
226 ms63‑413 MB
Inference
16.6 ms14‑362 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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