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Profile Job Results

Jobs
jogkn3mvg
Results Ready
Name
riffusion_quantized_UNet_Quantized
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: uint16[1, 64, 64, 4]
input_2: uint16[1, 1280]
input_3: uint16[1, 77, 768]
Completion Time
10/3/2024, 11:30:21 PM
Versions
  • QNN: v2.26.0.240827110523_99241
  • QNN Backend API: 5.26.0
  • QNN Core API: 2.19.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.10.01.0
Estimated Inference Time
128 ms
Estimated Peak Memory Usage
1 ‑ 2 MB
Compute Units
NPU
4932
StageTimeMemory
First App Load
1.19 s2‑3 MB
Subsequent App Load
512 ms2‑4 MB
Inference
128 ms1‑2 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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