HomeIoT ModelsQuickSRNetLarge-Quantized

QuickSRNetLarge-Quantized

Upscale images and remove image noise.

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

1.31ms
Inference Time
0-2MB
Memory Usage
28NPU
3CPU
Layers

Technical Details

Model checkpoint:quicksrnet_large_4x_checkpoint_int8
Input resolution:128x128
Number of parameters:436K
Model size:464 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 IoT Devices

  • QCS6490 (Proxy)
  • QCS8250 (Proxy)
  • QCS8550 (Proxy)
  • RB3 Gen 2 (Proxy)
  • RB5 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS6490
  • Qualcomm® QCS8250
  • Qualcomm® QCS8550