schema_version: 1.0.0
report_type: image-to-image
task_type: image-to-image
title: ESRGAN x4 INT8
description: >-
  INT8-quantized 4× single-image super-resolution models for enhancing low-resolution RGB images,
  especially urban scenes with fine repetitive details. Built on a 23-block RRDBNet backbone, they use
  tiled 128×128 inputs and produce 512×512 outputs per tile, balancing image fidelity with reduced
  model size and faster inference on ARM-oriented runtimes.
id: Arm/esrgan-int8-xnnpack-executorch-graviton-g4
filename: esrgan_x4_graviton_executorch_optimized.pte
base_model_id: kadirnar/RRDB_PSNR_x4
base_model_url: https://huggingface.co/kadirnar/RRDB_PSNR_x4
profile: Arm-Optimized
weight_dtype: int8
model_size_mb: 23.176
parameter_count: 16697987
format: pte
quantization:
  method: PTQ-static
  weight_bits: 8
  activation_bits: 8
  symmetric: true
  mode: static
  weight_granularity: per-channel
calibration:
  dataset_name: urban100
  sample_count: 100
  selection: random