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QuickSRNetSmall-Quantized

Upscale images and remove image noise.

QuickSRNet Small is designed for upscaling images on mobile platforms to sharpen in real-time.

Snapdragon® X Elite
0.70ms
Inference Time
7MB
Memory Usage
12NPU
Layers

Technical Details

Model checkpoint:quicksrnet_small_3x_checkpoint
Input resolution:128x128
Number of parameters:27.2K
Model size:34.9 KB

Applicable Scenarios

  • Virtual Real Estate Tours
  • Gaming
  • ARVR

Licenses

Source Model:OTHER
Deployable Model:AI Model Hub License

Tags

  • quantized
    A “quantized” model can run in low or mixed precision, which can substantially reduce inference latency.

Supported Compute Chipsets

  • Snapdragon® X Elite