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Jobs
jg9wwywlp
Results Ready
Name
controlnet_canny_w8a16_controlnet
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
latent: uint16[1, 64, 64, 4]
timestep: uint16[1, 1]
text_emb: uint16[1, 77, 768]
image_cond: uint16[1, 512, 512, 3]
Completion Time
10/27/2025, 7:19:31 PM
Options
--qairt_version 2.37
Versions
  • ONNX Runtime: 1.23.0
  • QAIRT: v2.37.1.250807093845_124904
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.10.21.0
Estimated Inference Time
45.3 ms
Estimated Peak Memory Usage
32 ‑ 46 MB
Compute Units
NPU
677
StageTimeMemory
First App Load
388 ms358‑365 MB
Subsequent App Load
316 ms344‑359 MB
Inference
45.3 ms32‑46 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"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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