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    28.06.2023

    Comparison Ryzen 9 7950X and Ryzen 9 5950X processors in benchmarks

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    In this article we will compare AMD's new processor, the Ryzen 9 7950X, with the previous generation, the Ryzen 9 5950X from the same manufacturer and try to answer the question how advantageous it is to switch over to the new processor model for workloads.

    Technical overview

    AMD launched its Ryzen 7000 processor family in autumn of 2022. These CPUs are designed for both desktop and server applications and offer high performance and energy efficiency.

    The key features of the new processors are as follows:

    1. Zen 4 Architecture: The Ryzen 7000 processors are built on the new Zen 4 architecture, offering higher performance and energy efficiency.
    2. AM5 Socket: The number of pins in the new socket has been significantly increased compared to the AM4 (1718 and 1331 pins respectively), achieving high data transfer speeds between processor and motherboard. In addition, the AM5 socket features a new mounting mechanism to improve CPU cooling and reduce noise (thanks to the use of new heat-conducting materials and a more precise positioning of the CPU on the motherboard).
    3. 5 nm Technology allows for high transistor density and performance gains.
    4. Cores and threads: Ryzen 7000 processors can have up to 16 cores and up to 32 threads giving high performance on a large number of simultaneous tasks.
    5. Hyper-Threading and Simultaneous Multithreading support: the ability to process multiple instruction threads simultaneously.
    6. PCIe 5.0 support: this enables high data transfer speeds between the processor and other devices.
    7. DDR5 Support.
    8. USB 4.0 Support.
    9. Improved cooling and power management: Ryzen 7000 processors feature improved cooling and power management, enabling stable performance under heavy loads.
    10. Virtualization support: Ryzen 7000 processors support virtualization, making them an ideal choice for server systems and virtual machines.

    The Ryzen 7000 processors are a high-performance, energy-efficient solution for a wide range of workloads. AMD claims that the new processor line is significantly superior to its predecessor in terms of performance. Let's see if this is indeed the case. We will take the Ryzen 9 5950X and Ryzen 9 7950X for comparison.

    Key Technical Characteristics

    Ryzen 9 7950XRyzen 9 5950X
    Release date27th September, 202220th October, 2020
    SocketAM5AM4
    CoreRaphael (Zen 4)Vermeer (Zen 3)
    ChipsetsX670E, X670, B650E, B650X570, B550, A520, X470, B450
    Number of cores1616
    Process technology (nm)57
    Number of transistors (billion)13.14.15

    Frequency characteristics

    Clock frequency (MHz)45003400
    Max frequency with Turbo Boost (MHz)57004900
    Multiplication factor4534
    Maximum memory capacity (GB)128128
    Memory TypeDDR5-5200DDR4-3200
    Maximum number of memory channels22
    Maximum memory bandwidth (GB/s)73.447.68
    ECC Supportyesyes

    Cache

    L1 cache capacity (Kb)10241024
    L2 cache capacity (Kb)168
    L3 cache capacity (Kb)6464

    Other

    Typical heat dissipation (W)170105
    Maximum operating temperature (°C)9590
    PCI Express Version5.04.0
    Integrated graphics acceleratorRadeon Graphics (Ryzen 7000)
    Price (USD)550450

    The key differences between the Ryzen 9 7950X and the Ryzen 9 5950X are:

    • A new architecture.
    • Almost three times more transistors.
    • 54 per cent more maximum memory bandwidth.
    • State-of-the-art 5 nm process technology.
    • The new PCI Express standard - 5.0
    • 16% higher Turbo Boost speeds (5.7GHz vs. 4.9GHz)
    • Availability of an integrated Radeon Graphics accelerator in the Ryzen 7000.

    Comparing processors by their specifications can give a general idea of a processor's capabilities. However, to get a more accurate estimate of a processor’s performance, it is better to test it on specific tasks.

    Description of the test environment

    5950X7950X
    CPUAMD Ryzen 9 5950X 3.4GHz (16 cores)AMD Ryzen 9 7950X 4.5GHz (16 core)
    RAM2x16 Gb DDR4 SO-DIMM4x32 GB DDR5
    Graphics CardAMD Radeon Graphics
    SSD1x240Gb NVMe SSD1x512Gb NVMe SSD
    MotherboardASRock X570D4I-2TGigabyte X670 GAMING X A
    Operating SystemMicrosoft Windows 10Microsoft Windows 10

    Tests

    stress-ng —-cpu 32 —-io 4 —-vm 1 —-vm-bytes 32G —-timeout 60s —-metrics-brief
    stressorbogo ops (secs)real time (secs)usr time (secs)sys time (secs)bogo ops/s (real time)bogo ops/s (usr+sys time)
    AMD Ryzen 9 5950Xcpu250963660.011754.820.5541823.21429.69
    io1407660.030.050.94234.4914196.47
    vm574830161.58109.7442.293352.8337833.13
    stress-ng —-cpu 32 —-io 8 —-vm 4 —-vm-bytes 128G —-timeout 60s —-metrics-brief
    stressorbogo ops (secs)real time (secs)usr time (secs)sys time (secs)bogo ops/s (real time)bogo ops/s (usr+sys time)
    AMD Ryzen 9 7950Xcpu3240575601673.257.2154008.351928.39
    io595084601.0515.939917.6435034.97
    vm33706662.6587.94115.355379.811657.99

    Drives

    stress-ng —-sequential 0 —-class io —-timeout 60s —-metrics-brief
    stressorbogo opsreal time (secs)usr time (secs)sys time (secs)bogo ops/s (real time)bogo ops/s (usr+sys time)

    7950X

    aio421622760.113.4418.6770144.56190678.74
    aio1248.68 async I/O signals per sec (average per stressor)
    aiol61455360.1114.3343.3910224.410646.98
    hdd427520060.1496.84128.5771093.0618966.11
    io-uring53284860.020.2244.958877.1211795.58
    rawdev20866453602.0536.19347771.34545582.5
    readahead260814060.010.4439.5543459.665209.08
    revio26733294260.149.221846.644448303.11141008.43
    seek060.01111.471807.1800
    sync-file95264609.3837.521587.622031.12

    5950X

    aio188899360.031.8612.2731468.87133655.35
    aio631.01 async I/O signals per sec (average per stressor)
    aiol74467360.1230.3864.9712385.67810.11
    hdd98508860.925.838.9216175.1115222.32
    io-uring13016860.020.2716.032168.817985.01
    rawdev18115648602.1260.45301926.12289528.49
    readahead456255360.011.5529.1276035.53148741.54
    revio21906978860.0237.271872.583650238.34114705.27
    seek060.01222.081695.3700
    sync-file113792608.8143.381896.462180.3

    A detailed description of stressors can be found in our previous article.

    • V-Ray Benchmark

    Ryzen 9 7950X outperforms its predecessor by 30%.

    • Blender

    Ryzen 9 7950X

    Overall performance

    • JetStream 2.0, measuring code performance in JavaScript and WebAssembly.

    JetStream 2.0 is a benchmark that tests JavaScript performance in the browser. It is used to evaluate the performance of the processors used in personal computers and mobile devices.

    The Ryzen 9 7950X results are 34% better than the Ryzen 9 5950X. AMD's new processor offers higher clock speeds, more cores, a more efficient architecture and other features that allow it to perform tasks faster and more efficiently.

    Working with video

    The video file bbb_sunflower_1080p_30fps_normal.mp4 (from the Blender demo repository) and the video transcoding test - SVT-AV1 Handbrake - were used for the tests.

    The Ryzen 9 7950X result is slightly (16%) higher than the Ryzen 9 5950X. The result of this test may be affected not only by the technical characteristics of the processors themselves, but also by other factors, such as an incorrectly compiled project.

    • Cinebench

    The Cinebench Multi Core test measures processor performance on tasks that use multiple processor cores simultaneously. The Ryzen 9 7950X outperforms its predecessor by 79.71%, indicating high multi-threaded performance.

    The Cinebench Single Core Test measures a processor's performance when performing tasks using only one processor core. In this test, AMD's new processor performs 29% better than the Ryzen 9 5950X.

    The MP ratio (multi-threaded ratio) is the ratio of the Multi Core and Single Core test results. An MP ratio close to 1 means that the processor's performance in multi-threaded tasks and single core tasks is roughly equal. If the MP ratio is greater than 1, it means the processor performs better at multitasking than it does at single core tasks. The Ryzen 9 7950X outperforms its predecessor by 39%.

    Cryptographic tests

    • John The Ripper

    The John the Ripper Test for various password encryption algorithms, including Blowfish, MD5, descrypt (traditional crypt), BestCrypt and Bitcoin, provides information about the CPU's performance with encrypted data. The Ryzen 9 7950X results demonstrate a high performance (nearly double that of its predecessor) when dealing with encrypted data.

    Machine Learning

    • AI-Benchmark

    AI-Benchmark allows you to measure the performance of your device during an AI model output task. The unit of measurement can vary according to the test, but is usually the number of operations per second (OPS) or the number of images per second (FPS).

    More detailed test results are shown in the table below:

    Ryzen 9 5950XRyzen 9 7950X
    1/19. MobileNet-V21.1 — inference | batch=50, size=224x224: 207 ± 6 ms1.2 — training | batch=50, size=224x224: 1102 ± 13 ms1.1 — inference | batch=50, size=224x224: 139 ± 3 ms1.2 — training | batch=50, size=224x224: 610 ± 1 ms
    2/19. Inception-V32.1 — inference | batch=20, size=346x346: 453 ± 32 ms2.2 — training | batch=20, size=346x346: 2461 ± 68 ms2.1 — inference | batch=20, size=346x346: 187 ± 3 ms2.2 — training | batch=20, size=346x346: 796 ± 4 ms
    3/19. Inception-V43.1 — inference | batch=10, size=346x346: 443 ± 25 ms3.2 — training | batch=10, size=346x346: 2224 ± 33 ms3.1 — inference | batch=10, size=346x346: 181 ± 2 ms3.2 — training | batch=10, size=346x346: 803 ± 3 ms
    4/19. Inception-ResNet-V24.1 — inference | batch=10, size=346x346: 385 ± 14 ms4.2 — training | batch=8, size=346x346: 1984 ± 32 ms4.1 — inference | batch=10, size=346x346: 239 ± 2 ms4.2 — training | batch=8, size=346x346: 793 ± 2 ms
    5/19. ResNet-V2-505.1 — inference | batch=10, size=346x346: 274 ± 5 ms5.2 — training | batch=10, size=346x346: 1649 ± 41 ms5.1 — inference | batch=10, size=346x346: 137.5 ± 0.7 ms5.2 — training | batch=10, size=346x346: 549 ± 2 ms
    6/19. ResNet-V2-1526.1 — inference | batch=10, size=256x256: 355 ± 4 ms6.2 — training | batch=10, size=256x256: 2351 ± 49 ms6.1 — inference | batch=10, size=256x256: 193 ± 2 ms6.2 — training | batch=10, size=256x256: 783 ± 2 ms
    7/19. VGG-167.1 — inference | batch=20, size=224x224: 554 ± 6 ms7.2 — training | batch=2, size=224x224: 1367 ± 13 ms7.1 — inference | batch=20, size=224x224: 389 ± 3 ms7.2 — training | batch=2, size=224x224: 459 ± 3 ms
    8/19. SRCNN 9-5-58.1 — inference | batch=10, size=512x512: 592 ± 21 ms8.2 — inference | batch=1, size=1536x1536: 537 ± 17 ms8.3 — training | batch=10, size=512x512: 7718 ± 23 ms8.1 — inference | batch=10, size=512x512: 185 ± 2 ms8.2 — inference | batch=1, size=1536x1536: 172 ± 2 ms8.3 — training | batch=10, size=512x512: 745 ± 8 ms
    9/19. VGG-19 Super-Res9.1 — inference | batch=10, size=256x256: 891 ± 56 ms9.2 — inference | batch=1, size=1024x1024: 1584 ± 56 ms9.3 — training | batch=10, size=224x224: 7176 ± 20 ms9.1 — inference | batch=10, size=256x256: 383 ± 1 ms9.2 — inference | batch=1, size=1024x1024: 627 ± 5 ms9.3 — training | batch=10, size=224x224: 1300 ± 14 ms
    10/19. ResNet-SRGAN10.1 — inference | batch=10, size=512x512: 1154 ± 25 ms10.2 — inference | batch=1, size=1536x1536: 1043 ± 18 ms10.3 — training | batch=5, size=512x512: 3300 ± 93 ms10.1 — inference | batch=10, size=512x512: 645 ± 4 ms10.2 — inference | batch=1, size=1536x1536: 559 ± 4 ms10.3 — training | batch=5, size=512x512: 922 ± 6 ms
    11/19. ResNet-DPED11.1 — inference | batch=10, size=256x256: 1484 ± 13 ms11.2 — inference | batch=1, size=1024x1024: 2416 ± 20 ms11.3 — training | batch=15, size=128x128: 4218 ± 77 ms11.1 — inference | batch=10, size=256x256: 839 ± 2 ms11.2 — inference | batch=1, size=1024x1024: 1343 ± 8 ms11.3 — training | batch=15, size=128x128: 1197 ± 7 ms
    12/19. U-Net12.1 — inference | batch=4, size=512x512: 2830 ± 36 ms12.2 — inference | batch=1, size=1024x1024: 2939 ± 29 ms12.3 — training | batch=4, size=256x256: 3231 ± 33 ms12.1 — inference | batch=4, size=512x512: 1664 ± 10 ms12.2 — inference | batch=1, size=1024x1024: 1686 ± 10 ms12.3 — training | batch=4, size=256x256: 1388 ± 5 ms
    13/19. Nvidia-SPADE13.1 — inference | batch=5, size=128x128: 975 ± 18 ms13.2 — training | batch=1, size=128x128: 1227 ± 13 ms13.1 — inference | batch=5, size=128x128: 469 ± 5 ms13.2 — training | batch=1, size=128x128: 610 ± 5 ms
    14/19. ICNet14.1 — inference | batch=5, size=1024x1536: 1055 ± 40 ms14.2 — training | batch=10, size=1024x1536: 2632 ± 61 ms14.1 — inference | batch=5, size=1024x1536: 500 ± 8 ms14.2 — training | batch=10, size=1024x1536: 1109 ± 12 ms
    15/19. PSPNet15.1 — inference | batch=5, size=720x720: 4494 ± 118 ms15.2 — training | batch=1, size=512x512: 1978 ± 61 ms15.1 — inference | batch=5, size=720x720: 2948 ± 19 ms15.2 — training | batch=1, size=512x512: 895 ± 15 ms
    16/19. DeepLab16.1 — inference | batch=2, size=512x512: 1633 ± 40 ms16.2 — training | batch=1, size=384x384: 1556 ± 69 ms16.1 — inference | batch=2, size=512x512: 561 ± 2 ms16.2 — training | batch=1, size=384x384: 602 ± 2 ms
    17/19. Pixel-RNN17.1 — inference | batch=50, size=64x64: 1296 ± 3 ms17.2 — training | batch=10, size=64x64: 667 ± 4 ms17.1 — inference | batch=50, size=64x64: 1003 ± 6 ms17.2 — training | batch=10, size=64x64: 659 ± 9 ms
    18/19. LSTM-Sentiment18.1 — inference | batch=100, size=1024x300: 2526 ± 12 ms18.2 — training | batch=10, size=1024x300: 3867 ± 5 ms18.1 — inference | batch=100, size=1024x300: 1144 ± 22 ms18.2 — training | batch=10, size=1024x300: 2544 ± 9 ms
    19/19. GNMT-Translation19.1 — inference | batch=1, size=1x20: 1076 ± 20 ms19.1 — inference | batch=1, size=1x20: 669 ± 3 ms

    Conclusions

    The tests we've conducted indicate that both processors are powerful and high-performing solutions for both PCs and servers. When comparing the Ryzen 9 5950X and Ryzen 9 7950X, we can conclude that the latter is more efficient in certain tasks such as scientific computing or video rendering. At the same time, the new processor is 22% more expensive than the Ryzen 9 5950X.

    The Ryzen 9 7950X surpasses the Ryzen 9 5950X thanks to a number of technical improvements. First and foremost, this is due to a change in the processor architecture and the new AM5 socket. The Ryzen 9 7950X features the more advanced Zen 4 architecture, which optimizes many key processor parameters, including core frequency and power consumption.

    Another advantage of the Ryzen 9 7950X is supporting the latest PCIe 5.0 standard, which provides faster data transfer speeds between the processor and other system components. It also has more PCIe lanes, allowing more devices to be used simultaneously at a high performance.

    Finally, the Ryzen 9 7950X supports faster and more efficient DDR5 RAM. This also significantly improves overall system performance and ensures lower latency when reading and writing data.

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