pyperf 2 x Intel Xeon testing with a Intel BeechnutCity v0.02 (BHSDCRB1.IPC.0028.D33.2311292032 BIOS) and ASPEED on CentOS Stream 9 via the Phoronix Test Suite. 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02: Processor: 2 x Intel Xeon @ 2.20GHz (288 Cores), Motherboard: Intel BeechnutCity v0.02 (BHSDCRB1.IPC.0028.D33.2311292032 BIOS), Chipset: Intel Ice Lake IEH, Memory: 16 x 64 GB DDR5-6400MT/s Micron MTC40F2046S1RC64BDY USFF, Disk: 3841GB SAMSUNG MZQL23T8HCLS-00A07, Graphics: ASPEED, Network: Intel I210 + 2 x Mellanox MT2892 OS: CentOS Stream 9, Kernel: 6.6.0-srf.bkc.6.6.13.4.11.x86_64 (x86_64), Compiler: GCC 13.3.1 20240611, File-System: ext4, Screen Resolution: 1920x1200 PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 3.62 |==================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 2.53 |==================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 114 |===================== PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 814 |===================== PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 689 |===================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 16.1 |==================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 434 |===================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 278 |===================== PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 1.93 |==================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 226 |===================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 196 |===================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 180 |===================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 36.4 |==================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 178 |===================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 31.8 |==================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better 2 x Intel Xeon - ASPEED - Intel BeechnutCity v0.02 . 763 |===================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better