pyperformance meteor lake Intel Core Ultra 7 155H testing with a MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: llvmpipe, Audio: Intel Device 7e28, Network: Intel Device 7e40 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 256 bits), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: llvmpipe, Audio: Intel Device 7e28, Network: Intel Device 7e40 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 256 bits), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB DRAM-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: llvmpipe, Audio: Intel Device 7e28, Network: Intel Device 7e40 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 256 bits), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better a . 319 |====================================================================== b . 305 |=================================================================== c . 304 |=================================================================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better a . 48.2 |================================================================== b . 49.1 |=================================================================== c . 50.3 |===================================================================== PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better a . 2.02 |==================================================================== b . 2.06 |===================================================================== c . 1.98 |================================================================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better a . 94.4 |===================================================================== b . 91.6 |=================================================================== c . 92.3 |=================================================================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better a . 155 |===================================================================== b . 154 |===================================================================== c . 157 |====================================================================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better a . 67.9 |==================================================================== b . 67.4 |==================================================================== c . 68.7 |===================================================================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better a . 116 |====================================================================== b . 114 |===================================================================== c . 114 |===================================================================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better a . 67.6 |==================================================================== b . 67.9 |==================================================================== c . 68.6 |===================================================================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better a . 16.1 |===================================================================== b . 16.2 |===================================================================== c . 16.0 |==================================================================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 75.5 |==================================================================== b . 75.9 |===================================================================== c . 76.3 |===================================================================== PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better a . 864 |====================================================================== b . 857 |===================================================================== c . 866 |====================================================================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better a . 1.17 |==================================================================== b . 1.18 |===================================================================== c . 1.18 |===================================================================== PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better a . 242 |====================================================================== b . 240 |===================================================================== c . 242 |====================================================================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better a . 12.5 |===================================================================== b . 12.4 |==================================================================== c . 12.5 |===================================================================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better a . 12.4 |==================================================================== b . 12.5 |===================================================================== c . 12.4 |==================================================================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 292 |====================================================================== b . 292 |====================================================================== c . 293 |====================================================================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better a . 34.0 |===================================================================== b . 34.0 |===================================================================== c . 34.1 |=====================================================================