pyperf new Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1656 BIOS) and XFX AMD Radeon RX 7900 XTX 24GB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1656 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.8.0-31-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0.5-1ubuntu1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1656 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.8.0-31-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0.5-1ubuntu1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1656 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.8.0-31-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0.5-1ubuntu1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1656 BIOS), Chipset: Intel Raptor Lake-S PCH, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMK32GX5M2B6000C36, Disk: Western Digital WD_BLACK SN850X 2000GB, Graphics: XFX AMD Radeon RX 7900 XTX 24GB, Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 24.04, Kernel: 6.8.0-31-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0.5-1ubuntu1 (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better a . 681 |====================================================================== b . 680 |====================================================================== c . 678 |====================================================================== d . 678 |====================================================================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better a . 26.1 |===================================================================== b . 26.0 |===================================================================== c . 26.0 |===================================================================== d . 26.1 |===================================================================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better a . 12.2 |==================================================================== b . 12.2 |==================================================================== c . 12.2 |==================================================================== d . 12.3 |===================================================================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better a . 513 |==================================================================== b . 515 |==================================================================== c . 532 |====================================================================== d . 529 |====================================================================== PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better a . 601 |==================================================================== b . 600 |==================================================================== c . 613 |====================================================================== d . 617 |====================================================================== PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better a . 179 |====================================================================== b . 179 |====================================================================== c . 179 |====================================================================== d . 180 |====================================================================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 137 |====================================================================== b . 136 |===================================================================== c . 136 |===================================================================== d . 137 |====================================================================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better a . 17.0 |===================================================================== b . 17.0 |===================================================================== c . 16.9 |==================================================================== d . 17.1 |===================================================================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better a . 37.4 |=================================================================== b . 38.6 |===================================================================== c . 37.5 |=================================================================== d . 38.8 |===================================================================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better a . 8.50 |===================================================================== b . 8.50 |===================================================================== c . 8.47 |===================================================================== d . 8.50 |===================================================================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better a . 35.4 |==================================================================== b . 35.6 |==================================================================== c . 35.9 |===================================================================== d . 35.8 |===================================================================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 34.8 |===================================================================== b . 34.9 |===================================================================== c . 34.8 |===================================================================== d . 34.8 |===================================================================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better a . 63.9 |===================================================================== b . 63.7 |===================================================================== c . 63.7 |===================================================================== d . 63.7 |===================================================================== PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better a . 135 |===================================================================== b . 137 |====================================================================== c . 135 |===================================================================== d . 135 |===================================================================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better a . 62.1 |===================================================================== b . 62.1 |===================================================================== c . 61.9 |===================================================================== d . 62.0 |===================================================================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better a . 28.5 |===================================================================== b . 28.5 |===================================================================== c . 28.5 |===================================================================== d . 28.5 |===================================================================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better a . 10.3 |===================================================================== b . 10.3 |===================================================================== c . 10.2 |==================================================================== d . 10.3 |=====================================================================