Ryzen 9 7950X New

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0604 BIOS) and AMD Radeon RX 6800 XT on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2210065-PTS-RYZEN97969
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C/C++ Compiler Tests 2 Tests
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7950X
October 06 2022
  2 Hours, 52 Minutes
AMD 7950X
October 06 2022
  1 Hour, 55 Minutes
Ryzen 9 7950X
October 06 2022
  1 Hour, 54 Minutes
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  2 Hours, 14 Minutes

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Ryzen 9 7950X New AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0604 BIOS) and AMD Radeon RX 6800 XT on Ubuntu 22.04 via the Phoronix Test Suite. ,,"7950X","AMD 7950X","Ryzen 9 7950X" Processor,,AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads) Motherboard,,ASUS ROG CROSSHAIR X670E HERO (0604 BIOS),ASUS ROG CROSSHAIR X670E HERO (0604 BIOS),ASUS ROG CROSSHAIR X670E HERO (0604 BIOS) Chipset,,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8 Memory,,32GB,32GB,32GB Disk,,1000GB Sabrent Rocket 4.0 Plus,1000GB Sabrent Rocket 4.0 Plus,1000GB Sabrent Rocket 4.0 Plus Graphics,,AMD Radeon RX 6800 XT (2575/1000MHz),AMD Radeon RX 6800 XT (2575/1000MHz),AMD Radeon RX 6800 XT (2575/1000MHz) Audio,,AMD Navi 21 HDMI Audio,AMD Navi 21 HDMI Audio,AMD Navi 21 HDMI Audio Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.0.0-060000rc7daily20221001-generic (x86_64),6.0.0-060000rc7daily20221001-generic (x86_64),6.0.0-060000rc7daily20221001-generic (x86_64) Desktop,,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4 Display Server,,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland,X Server 1.21.1.3 + Wayland OpenGL,,4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48),4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48),4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48) Vulkan,,1.3.204,1.3.204,1.3.204 Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,3840x2160,3840x2160,3840x2160 ,,"7950X","AMD 7950X","Ryzen 9 7950X" "SMHasher - Hash: wyhash (MiB/sec)",HIB,25794.07,24915.87,25561.78 "SMHasher - Hash: wyhash (cycles/hash)",LIB,17.421,18.058,17.452 "SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,171.10,169.18,171.26 "SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2316.708,2341.53,2325.365 "SMHasher - Hash: Spooky32 (MiB/sec)",HIB,16943.87,16408.99,16910.15 "SMHasher - Hash: Spooky32 (cycles/hash)",LIB,33.741,34.602,33.915 "SMHasher - Hash: fasthash32 (MiB/sec)",HIB,7004.48,6961.29,7178.87 "SMHasher - Hash: fasthash32 (cycles/hash)",LIB,27.780,27.958,26.989 "SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,15046.51,14983.8,15343.54 "SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,58.059,58.195,59.354 "SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,17012.41,16506.89,17145.13 "SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,24.969,25.838,24.839 "SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,29886.26,29423.97,29850.04 "SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,32.482,33.159,31.87 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,83438.07,81019.69,84485.24 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,24.874,25.581,24.806 "SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,43810.44,44610.82,44645.66 "SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,55.459,54.535,56.096 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,22.701881,22.26458,22.405985 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,165.88418,165.97036,166.04686 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,192.58885,191.81789,191.8191 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,2186.9023,2187.7381,2172.9839 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.44,0.44,0.45 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,13.85,13.81,13.96 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,53.47,54.49,53.48 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,25.11,24.87,25.09 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,67.60,67.62,68.05 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,80.81,80.84,82.42 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,81.28,80.91,81.67 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,1.33,1.33,1.34 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,31.01,30.85,31.06 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,99.63,115.29,96.37 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,74.34,74.89,74.31 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,132.82,133.64,132.44 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,155.22,158.54,157.15 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,157.01,160.02,157.53 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,19.853,19.918,19.837 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,9.143,9.128,9.205 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.72486,1.71649,1.71784 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.34514,3.3576,3.36044 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.390090,0.387814,0.377088 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.320750,0.33193,0.345253 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.625818,0.624597,0.623654 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.53614,1.5331,1.50493 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,5.68697,5.68521,5.68287 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.70987,2.70181,2.70645 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.33902,2.33742,2.33003 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.32928,5.34616,5.33475 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.415613,0.414963,0.41339 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.576098,0.576934,0.579557 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1130.90,1133.97,1131.5 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,581.843,581.837,579.315 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1134.95,1136.72,1135.53 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.71642,1.76931,1.71067 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.86729,3.83971,3.82779 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.41395,1.41206,1.40981 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,581.510,581.945,581.709 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.416707,0.41716,0.417444 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1134.72,1129.79,1132.99 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,581.869,581.896,579.692 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.141445,0.141756,0.142351 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.229615,0.229515,0.22991