Encoding

One of the interesting elements on modern processors is encoding performance. This covers two main areas: encryption/decryption for secure data transfer, and video transcoding from one video format to another.

In the encrypt/decrypt scenario, how data is transferred and by what mechanism is pertinent to on-the-fly encryption of sensitive data - a process by which more modern devices are leaning to for software security.

Video transcoding as a tool to adjust the quality, file size and resolution of a video file has boomed in recent years, such as providing the optimum video for devices before consumption, or for game streamers who are wanting to upload the output from their video camera in real-time. As we move into live 3D video, this task will only get more strenuous, and it turns out that the performance of certain algorithms is a function of the input/output of the content.

HandBrake 1.32: Link

Video transcoding (both encode and decode) is a hot topic in performance metrics as more and more content is being created. First consideration is the standard in which the video is encoded, which can be lossless or lossy, trade performance for file-size, trade quality for file-size, or all of the above can increase encoding rates to help accelerate decoding rates. Alongside Google's favorite codecs, VP9 and AV1, there are others that are prominent: H264, the older codec, is practically everywhere and is designed to be optimized for 1080p video, and HEVC (or H.265) that is aimed to provide the same quality as H264 but at a lower file-size (or better quality for the same size). HEVC is important as 4K is streamed over the air, meaning less bits need to be transferred for the same quality content. There are other codecs coming to market designed for specific use cases all the time.

Handbrake is a favored tool for transcoding, with the later versions using copious amounts of newer APIs to take advantage of co-processors, like GPUs. It is available on Windows via an interface or can be accessed through the command-line, with the latter making our testing easier, with a redirection operator for the console output.

We take the compiled version of this 16-minute YouTube video about Russian CPUs at 1080p30 h264 and convert into three different files: (1) 480p30 ‘Discord’, (2) 720p30 ‘YouTube’, and (3) 4K60 HEVC.

(5-1a) Handbrake 1.3.2, 1080p30 H264 to 480p Discord(5-1b) Handbrake 1.3.2, 1080p30 H264 to 720p YouTube(5-1c) Handbrake 1.3.2, 1080p30 H264 to 4K60 HEVC

7-Zip 1900: Link

The first compression benchmark tool we use is the open-source 7-zip, which typically offers good scaling across multiple cores. 7-zip is the compression tool most cited by readers as one they would rather see benchmarks on, and the program includes a built-in benchmark tool for both compression and decompression.

The tool can either be run from inside the software or through the command line. We take the latter route as it is easier to automate, obtain results, and put through our process. The command line flags available offer an option for repeated runs, and the output provides the average automatically through the console. We direct this output into a text file and regex the required values for compression, decompression, and a combined score.

(5-2c) 7-Zip 1900 Combined Score

AES Encoding

Algorithms using AES coding have spread far and wide as a ubiquitous tool for encryption. Again, this is another CPU limited test, and modern CPUs have special AES pathways to accelerate their performance. We often see scaling in both frequency and cores with this benchmark. We use the latest version of TrueCrypt and run its benchmark mode over 1GB of in-DRAM data. Results shown are the GB/s average of encryption and decryption.

(5-3) AES Encoding

WinRAR 5.90: Link

For the 2020 test suite, we move to the latest version of WinRAR in our compression test. WinRAR in some quarters is more user friendly that 7-Zip, hence its inclusion. Rather than use a benchmark mode as we did with 7-Zip, here we take a set of files representative of a generic stack

  • 33 video files , each 30 seconds, in 1.37 GB,
  • 2834 smaller website files in 370 folders in 150 MB,
  • 100 Beat Saber music tracks and input files, for 451 MB

This is a mixture of compressible and incompressible formats. The results shown are the time taken to encode the file. Due to DRAM caching, we run the test for 20 minutes times and take the average of the last five runs when the benchmark is in a steady state.

For automation, we use AHK’s internal timing tools from initiating the workload until the window closes signifying the end. This means the results are contained within AHK, with an average of the last 5 results being easy enough to calculate.

(5-4) WinRAR 5.90 Test, 3477 files, 1.96 GB

CPU Tests: Simulation and Rendering Conclusion
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  • yankeeDDL - Tuesday, March 1, 2022 - link

    Great article, as usual.
    It seems clear that Intel's AL still has the performance advantage, however, in the Conclusion page, the performance comparison is reference to the nominal consumption (35W, 45W, 65W), while we know that Intel's part can reach twice as much power, in practice, making an apples-to-apples comparison quite difficult, especially in light of Intel's better scaling with more Power.

    Is there a way to check the exact performance per core under the same exact consumption (or scaled)?
    I am especially interested as a user of the 1165G, which is an absolute battery eater (and/or heater): it seems that AL is a huge improvement, but if it also draws 100W (instead of 45W) to beat Ryzen by a 10%, then it's not worth it. In my opinion.
  • Spunjji - Tuesday, March 1, 2022 - link

    Yes, the overall picture that has built up is of Intel's Alder Lake winning out at higher power levels (40W+) while AMD coming out ahead below that.

    This is good, because it means that we have great options for people who want the best possible performance in a mobile form-factor and for people who want a more even balance of performance and power usage. It's a nicer situation to be in than when Intel complete owned the mobile segment, followed by the years of stagnation at 14nm.
  • yankeeDDL - Tuesday, March 1, 2022 - link

    Agree on all points.
    Intel's Tiger Lake is an absolute disaster, and it is actually surprising that Intel only managed to lose 50% market share with such a lousy product compared to Ryzen.
    And equally surprising is the insane jump in performance and perf/watt achieved with AL. Definitely good for the consumers.
  • mode_13h - Tuesday, March 1, 2022 - link

    > Intel's Tiger Lake is an absolute disaster

    That seems like an overstatement. It just didn't improve enough against Ryzen, particularly in light of the 5000-series' gains. However, especially in light of Ice Lake's disappointments, Tiger Lake didn't seem so bad.
  • Alistair - Tuesday, March 1, 2022 - link

    Tiger Lake was a stroke of luck for Intel, their worst product ever during a massive silicon shortage. They spent the year selling quad cores because AMD was selling everything they could make, not because Tiger Lake was any good.
  • bigboxes - Wednesday, March 2, 2022 - link

    For sure. I went with AMD for the first time since 2006 this last year.
  • Samus - Thursday, March 3, 2022 - link

    The irony here is AMD mobile CPU's are widespread in lots of desktops and AIO's, even high end units. You would rarely, if ever, see Intel U-series parts in desktops\AIO's outside of USFF's or low-end AIO's with Celeron\Pentiums.

    This is happening partially because AMD doesn't have a wide product stack like Intel. And they don't need too. The AMD U-series parts are absolute performance monsters and have been for the last 3 generations.
  • abufrejoval - Friday, March 4, 2022 - link

    I own both, a Ryzen 5800U in a notebook and an i7-1165G7 as a NUC.

    They are really quite comparable, both in iGPU performance, in scalar CPU power and even in multi-threaded CPU power.

    At 15 Watts the 8 Ryzen cores operate below the CMOS knee, which means they have to clock so low they can't really gain much against 4 Tiger Lake cores clocking above it. Synthetic benchmarks may prove a lead that's next to impossible to realize or really relevant in day-to-day work. For the heavy lifting, I use a 5950X, which isn't that much faster on scalar loads, but runs almost as many rings around the 5800U as the i7-1165G7: the extra Watts make more of a difference than the cores alone.

    My impression is that the Ryzen needs the higher power envelope, 35 or even 65 Watts, and of course a matching workload to put those extra cores to work. AMD's primary aim for their APUs was to cover as many use cases as possible from a single part and they do amazingly well. If they could afford to do a native 4 core variant as well, I'm pretty sure that would outsell the 8 core.

    In fact the SteamDeck SoC would probably make a better notebook part for many (not everyone).

    And there is nothing wrong with Tiger Lake, except that perhaps today there are better SoCs around: it was and remains a welcome improvement over the previous generations from Intel.

    Buy it used and/or cheaper than these AL parts and you should have little to complain about... unless complaining is what you really enjoy.
  • mode_13h - Tuesday, March 1, 2022 - link

    > Great article, as usual.

    I thought so, as well, which was a relief. Then, I noticed the by-line:

    "by Dr. Ian Cutress"
  • lemurbutton - Tuesday, March 1, 2022 - link

    People shouldn't care that much about AMD and Intel on laptops right now. M1 series completely destroys both. AMD and Intel are 3-4 years behind.

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