HomeMobile ModelsQuickSRNetSmall-Quantized

QuickSRNetSmall-Quantized

Upscale images and remove image noise.

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

0.79ms
Inference Time
0-17MB
Memory Usage
8NPU
3CPU
Layers

Technical Details

Model checkpoint:quicksrnet_small_4x_checkpoint_int8
Input resolution:128x128
Number of parameters:33.3K
Model size:42.5 KB

Applicable Scenarios

  • Virtual Real Estate Tours
  • Gaming
  • ARVR

Supported Mobile Form Factors

  • Phone
  • Tablet

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 Mobile Devices

  • Google Pixel 3
  • Google Pixel 3a
  • Google Pixel 3a XL
  • Google Pixel 4
  • Google Pixel 4a
  • Google Pixel 5a 5G
  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S21+
  • Samsung Galaxy S22 5G
  • Samsung Galaxy S22 Ultra 5G
  • Samsung Galaxy S22+ 5G
  • Samsung Galaxy S23
  • Samsung Galaxy S23 Ultra
  • Samsung Galaxy S23+
  • Samsung Galaxy S24
  • Samsung Galaxy S24 Ultra
  • Samsung Galaxy S24+
  • Samsung Galaxy Tab S8
  • Xiaomi 12
  • Xiaomi 12 Pro

Supported Mobile Chipsets

  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile