stuttering encoded video using quicksync, h264 codec

OS: Linux Mint 22 x86_64
Kernel: 6.8.0-49-generic
Uptime: 21 days, 4 hours, 40 mins
Packages: 2209 (dpkg), 25 (flatpak)
Shell: bash 5.2.21
CPU: 11th Gen Intel i7-11700K (16) @ 4.900GHz
GPU: AMD ATI Radeon RX 6650 XT / 6700S / 6800S
GPU: Intel RocketLake-S GT1 [UHD Graphics 750]
Memory: 45548MiB / 64066MiB

# WARNING: Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
#

name: immich
services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    extends:
      file: hwaccel.transcoding.yml
      service: quicksync # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - ${THUMB_LOCATION}:/usr/src/app/upload/thumbs
      - ${ENCODED_VIDEO_LOCATION}:/usr/src/app/upload/encoded-video
      - ${PROFILE_LOCATION}:/usr/src/app/upload/profile
      - ${BACKUP_LOCATION}:/usr/src/app/upload/backups
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - .env
    ports:
      - 2283
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false
  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-openvino
    extends:
      # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
      file: hwaccel.ml.yml
      service: openvino # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false
  redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:eaba718fecd1196d88533de7ba49bf903ad33664a92debb24660a922ecd9cac8
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always
  database:
    container_name: immich_postgres
    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: --data-checksums
    volumes:
      # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    healthcheck:
      test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' ||
        exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}'
        --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT
        COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo
        "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
      interval: 5m
      start_interval: 30s
      start_period: 5m
    command: postgres -c shared_preload_libraries=vectors.so -c
      'search_path="$$user", public, vectors' -c logging_collector=on -c
      max_wal_size=2GB -c shared_buffers=512MB -c wal_compression=on
    restart: always
volumes:
  model-cache: null
networks:
  default:
    name: ARRRR
    external: true