5900X Summer 2022 AMD AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (4201 BIOS) and NVIDIA NV134 8GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"A","B","C","D" Processor,,AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads),AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads),AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads),AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads) Motherboard,,ASUS ROG CROSSHAIR VIII HERO (4201 BIOS),ASUS ROG CROSSHAIR VIII HERO (4201 BIOS),ASUS ROG CROSSHAIR VIII HERO (4201 BIOS),ASUS ROG CROSSHAIR VIII HERO (4201 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,16GB,16GB,16GB,16GB Disk,,1000GB Sabrent Rocket 4.0 1TB,1000GB Sabrent Rocket 4.0 1TB,1000GB Sabrent Rocket 4.0 1TB,1000GB Sabrent Rocket 4.0 1TB Graphics,,NVIDIA NV134 8GB,NVIDIA NV134 8GB,NVIDIA NV134 8GB,NVIDIA NV134 8GB Audio,,NVIDIA GP104 HD Audio,NVIDIA GP104 HD Audio,NVIDIA GP104 HD Audio,NVIDIA GP104 HD Audio Monitor,,MX279,MX279,MX279,MX279 Network,,Realtek RTL8125 2.5GbE + Intel I211,Realtek RTL8125 2.5GbE + Intel I211,Realtek RTL8125 2.5GbE + Intel I211,Realtek RTL8125 2.5GbE + Intel I211 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.17.4-051704-generic (x86_64),5.17.4-051704-generic (x86_64),5.17.4-051704-generic (x86_64),5.17.4-051704-generic (x86_64) Desktop,,GNOME Shell 42.0,GNOME Shell 42.0,GNOME Shell 42.0,GNOME Shell 42.0 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland,X Server + Wayland Display Driver,,nouveau,nouveau,nouveau,nouveau OpenGL,,4.3 Mesa 22.2.0-devel (git-0588239 2022-05-14 jammy-oibaf-ppa),4.3 Mesa 22.2.0-devel (git-0588239 2022-05-14 jammy-oibaf-ppa),4.3 Mesa 22.2.0-devel (git-0588239 2022-05-14 jammy-oibaf-ppa),4.3 Mesa 22.2.0-devel (git-0588239 2022-05-14 jammy-oibaf-ppa) Vulkan,,1.3.211,1.3.211,1.3.211,1.3.211 Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080 ,,"A","B","C","D" "Glibc Benchmarks - Benchmark: cos (ns)",LIB,60.2628,59.7012,60.2341,59.8097 "Glibc Benchmarks - Benchmark: exp (ns)",LIB,12.6615,13.0738,12.9913,13.0932 "Glibc Benchmarks - Benchmark: ffs (ns)",LIB,4.70165,4.76139,4.68399,4.76804 "Glibc Benchmarks - Benchmark: sin (ns)",LIB,52.6202,53.4553,52.6253,53.7757 "Glibc Benchmarks - Benchmark: log2 (ns)",LIB,14.0317,14.5341,13.8025,14.5127 "Glibc Benchmarks - Benchmark: modf (ns)",LIB,5.49387,5.6264,5.36263,5.61498 "Glibc Benchmarks - Benchmark: sinh (ns)",LIB,21.6234,22.1985,21.2912,22.3072 "Glibc Benchmarks - Benchmark: sqrt (ns)",LIB,6.63208,6.70308,6.53548,6.82436 "Glibc Benchmarks - Benchmark: tanh (ns)",LIB,30.5338,31.5617,30.1854,31.4448 "Glibc Benchmarks - Benchmark: asinh (ns)",LIB,22.0988,22.5444,22.0442,22.5948 "Glibc Benchmarks - Benchmark: atanh (ns)",LIB,28.4046,28.7448,28.1348,28.9943 "Glibc Benchmarks - Benchmark: ffsll (ns)",LIB,5.39112,5.53459,5.31223,5.54265 "Glibc Benchmarks - Benchmark: sincos (ns)",LIB,36.3111,37.2911,35.8505,37.5057 "Glibc Benchmarks - Benchmark: pthread_once (ns)",LIB,4.56639,4.77482,4.55321,4.74735 "Etcpak - Benchmark: Multi-Threaded - Configuration: ETC2 (Mpx/s)",HIB,3785.046,3785.046,3788.037,3782.699 "Etcpak - Benchmark: Single-Threaded - Configuration: ETC2 (Mpx/s)",HIB,293.117,291.215,306.272,290.226 "simdjson - Throughput Test: Kostya (GB/s)",HIB,3.7,3.61,3.62,3.67 "simdjson - Throughput Test: TopTweet (GB/s)",HIB,5.5,5.53,5.56,5.75 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,1.25,1.28,1.25,1.3 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,4.9,4.87,5.08,4.95 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,5.82,5.62,5.58,5.81 "Renaissance - Test: Scala Dotty (ms)",LIB,829.8,628.6,620.8,623.4 "Renaissance - Test: Random Forest (ms)",LIB,552.5,525.7,546.4,542.2 "Renaissance - Test: ALS Movie Lens (ms)",LIB,9921.3,9927.7,9874.1,9994.4 "Renaissance - Test: Apache Spark ALS (ms)",LIB,2488.2,2527.4,2509.9,2533.7 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,1876.9,1835.6,1855.1,1866.4 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,6229.0,6532.1,6092.3,6240.0 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,2753.9,2657.9,2605.4,2708.3 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,3466.1,3471.3,3480.0,3338.2 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,2833.8,2920.3,2874.8,3007.6 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,11064.1,11231.9,11127.1,11285.9 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,2433.4,2551.9,2469.0,2487.1 "Nettle - Test: aes256 (Mbyte/s)",HIB,7158.12,7290.13,7155.22,7318.09 "Nettle - Test: chacha (Mbyte/s)",HIB,1225.82,1205.97,1175.7,1204.72 "Nettle - Test: sha512 (Mbyte/s)",HIB,757.93,758.04,726.87,743.04 "Nettle - Test: poly1305-aes (Mbyte/s)",HIB,3474.61,3491.38,3424.07,3336.42 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 4K (FPS)",HIB,3.39,3.39,3.39,3.38 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,56.35,57.25,57.47,56.92 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,91.05,91.28,91.62,91.3 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,13.43,13.35,13.35,13.36 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,186.51,187.21,185.87,185.7 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,338.98,335.57,340.33,339.17 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,48.47,48.26,48.34,47.82 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,205.88,209.48,211.75,212.07 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,50.43,51.13,50.61,50.8 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,208.44,211.13,216.24,220.12 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,53.31,55.98,55.7,55.96 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,202.09,202.96,202.56,203.5 "x264 - Video Input: Bosphorus 4K (FPS)",HIB,42.73,42.51,41.32,41.85 "x264 - Video Input: Bosphorus 1080p (FPS)",HIB,179.32,173.38,169.88,172.29 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.254,1.25,1.255,1.26 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,2419.98,2422.2,2424.82,2424.01 "TensorFlow Lite - Model: Inception V4 (us)",LIB,33874.6,33895.8,33975.3,33955.2 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,9748.45,10122.8,10091,9991.36 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,1729.5,1728.31,1729.35,1729.92 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,2640.02,2562.21,2526.73,2552.71 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,32286.8,32338.8,32883.7,31966.9 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,98.66,98.55,98.7,98.69 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,259.8,260.35,260.65,261.18 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,124.76,124.65,125.17,125.28 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,999.05,996.95,994.51,999.15 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,323.19,322.94,323.24,324.06