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MSU Hardware Video Codecs Express Comparison 2020

Video group head: Dr. Dmitriy Vatolin
Project head: Dr. Dmitriy Kulikov
Measurements, analysis: Dr. Mikhail Erofeev,
Anastasia Antsiferova,
Egor Sklyarov,
Alexander Yakovenko,
Nickolay Safonov



In MSU Hardware Video Codecs Express Comparison 2020, we analyzed 4 hardware and 4 software codecs. For hardware acceleration, both GPU codecs and FPGA codecs were used. The minimum speed of the selected presets is 60 fps.

In the objective part of the report, 50 sequences were used, the metrics used: SSIM, PSNR and VMAF. In the subjective part of the report, we selected 10 videos and conducted an experiment on the platform.

According to the results of the research, Tencent YaoChiV500 outperforms other codecs both in objective and subjective comparison.

Objective (50 videos) Subjective (10 videos)
Best quality
  1. Tencent YaoChiV500
  2. H.265 (NVENC)
  3. x264
  1. Tencent YaoChiV500
  2. H.265 (NVENC)
  3. H.265 (NGCodec)
Best quality
  1. Tencent YaoChiV500
  2. H.265 (NVENC)
  3. x265 (superfast)
Best quality
  1. Tencent YaoChiV500
  2. H.265 (NGCodec)
  3. x265 (ultrafast)


FPGA Express Report
Objective and subjective comparisons of hardware-accelerated video encoders
Released on December, ...

Full version for free
4 hardware-accelerated and 4 software encoders
Tencent YaoChiV500, H.264 (NVENC), H.265 (NVENC), H.265 (NGCodec); x264, x265, H.264 (QSV), H.265 (QSV)
50 FullHD video sequences in objective comparison
10 FullHD video sequences in subjective comparison
60 fps encoding
Objective and subjective comparisons
HTML report
2400+ interactive charts

Participated codecs

Codec name Hardware acceleration
1 Tencent YaoChiV500 Xilinx Alveo U250
2 H.264 (NVENC) NVIDIA Titan RTX
3 H.265 (NVENC) NVIDIA Titan RTX
4 H.265 (NGCodec) AWS f1.2large
5 H.264 (QSV)
6 H.265 (QSV)
7 x264
8 x265 (superfast)
9 x265 (ultrafast)

Comparison Rules

Codec testing objectives

The main goal of this report is the presentation of a comparative evaluation of the quality of hardware-accelerated codecs and software codecs using objective measures of assessment. All presets satisfied minimum speed requirement — 60 fps. The main task of the comparison is to analyze different encoders for the task of transcoding video.

Test Hardware Characteristics

  • CPU: Intel Socket 1151 Core i7 8700K (Coffee Lake) (3.7Ghz, 6C12T, TDP 95W)
  • Mainboard: ASRock Z370M Pro4
  • RAM: Crucial CT16G4DFD824A 2x16GB (totally 32 GB) DIMM DDR4 2400MHz CL15
  • OS: Windows 10 x64

For hardware acceleration we used:

  • FPGA — Xilinx Alveo U250
  • FPGA — AWS f1.2large instance
  • GPU — NVIDIA Titan RTX


We used the same 50 sequences as in the Main report. Read more on the Main report page: MSU Video Codecs Comparison 2020 Part 1: FullHD, objective.

Codec Analysis and Tuning for Codec Developers and Codec Users

Computer Graphics and Multimedia Laboratory of Moscow State University:

  • 15+ years working in the area of video codec analysis and tuning using objective quality metrics and subjective comparisons.
  • 27+ reports of video codec comparisons and analysis (H.265, H.264, AV1, VP9, MPEG-4, MPEG-2, decoders' error recovery).
  • Methods and algorithms for codec comparison and analysis development, separate codec's features and codec's options analysis.

We could perform next tasks for codec developers and codec users.

Strong and Weak Points of Your Codec

  • Deep encoder parts analysis (ME, RC on GOP, mode decision, etc).
  • Weak and strong points for your encoder and complete information about encoding quality on different content types.
  • Encoding Quality improvement by the pre and post filtering (including technologies licensing).

Independent Codec Estimation Comparing to Other Codecs for Different Use-cases

  • Comparative analysis of your encoder and other encoders.
  • We have direct contact with many codec developers.
  • You will know place of your encoder between other newest well-known encoders (compare encoding quality, speed, bitrate handling, etc.).

Encoder Features Implementation Optimality Analysis

We perform encoder features effectiveness (speed/quality trade-off) analysis that could lead up to 30% increase in the speed/quality characteristics of your codec. We can help you to tune your codec and find best encoding parameters.


Special thanks to the following contributors of our previous comparisons
Google Intel AMD NVidia
ATI Adobe ISPhone dicas
KDDI R&D labs Dolby Tata Elxsi Octasic
Qualcomm Voceweb Elgato Telecast
Huawei MainConcept Vitec Tencent

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Contact Information
in cooperation
Lomonosov MSU
Graphics & Media Lab
(Video Group)
Dubna State University
Institute for Information
Transmission Problems RAS

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Last updated: 12-May-2022

Server size: 8069 files, 1215Mb (Server statistics)

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Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab