Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5qmr944g
Results Ready
Name
edgetam_video_decoder
Target Device
  • Dragonwing RB3 Gen 2 Vision Kit
  • Qualcomm Linux 1.6
  • Qualcomm® Dragonwing™ RB3 Gen 2 | QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_embeddings: uint8[1, 256, 64, 64]
high_res_features1: uint8[1, 32, 256, 256]
high_res_features2: uint8[1, 64, 128, 128]
sparse_embedding: uint8[1, 3, 256]
Completion Time
7/5/2026, 2:00:02 PM
Options
--onnx_execution_providers qnn
Versions
  • ONNX Runtime: 1.26.0
  • QAIRT: v2.45.0.260326154327
  • Qualcomm Linux: 1.6-ver.1.2
  • AI Hub: aihub-2026.06.19.2
Estimated Inference Time
14.6 ms
Estimated Peak Memory Usage
4 ‑ 7 MB
Compute Units
NPU
894
StageTimeMemory
First App Load
6.18 s285 MB
Subsequent App Load
379 ms19‑20 MB
Inference
14.6 ms4‑7 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL
QNN Execution ProviderValue
htp_performance_mode"burst"
htp_graph_finalization_optimization_mode"3"
enable_htp_fp16_precision"0"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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

Run on device