pyperformance_result Intel Core i5-8250U testing with a LENOVO 20KNA033JP (R0PET68W 1.45 BIOS) and Intel UHD 620 on Ubuntu 22.04 via the Phoronix Test Suite. run_1st_0111: Processor: Intel Core i5-8250U @ 3.40GHz (4 Cores / 8 Threads), Motherboard: LENOVO 20KNA033JP (R0PET68W 1.45 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 32GB, Disk: Netac NVMe SSD 500GB + 500GB TOSHIBA MQ01ACF0, Graphics: Intel UHD 620 (1100MHz), Audio: Conexant CX20753/4, Network: Realtek RTL8111/8168/8411 + Intel Dual Band-AC 3165 Plus Bluetooth OS: Ubuntu 22.04, Kernel: 5.15.0-91-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.20.13 + Wayland, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better run_1st_0111 . 577 |=========================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better run_1st_0111 . 430 |=========================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better run_1st_0111 . 279 |=========================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better run_1st_0111 . 12.6 |========================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better run_1st_0111 . 220 |=========================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better run_1st_0111 . 178 |=========================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better run_1st_0111 . 529 |=========================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better run_1st_0111 . 55.7 |========================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better run_1st_0111 . 32.8 |========================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better run_1st_0111 . 144 |=========================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better run_1st_0111 . 26.5 |========================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better run_1st_0111 . 141 |=========================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better run_1st_0111 . 129 |===========================================================