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EdgeTAM

Profile Job Results

Jobs
jpr16yd0g
Results Ready
Name
edgetam_decoder
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
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
5/3/2026, 2:58:02 AM
Versions
  • LiteRT: 1.4.3
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.04.25.0
Estimated Inference Time
6.60 ms
Estimated Peak Memory Usage
0 ‑ 188 MB
Compute Units
NPU
750
StageTimeMemory
First App Load
5.95 s169‑174 MB
Subsequent App Load
389 ms19‑205 MB
Inference
6.60 ms0‑188 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue
htp_options.device_id1

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