ddkd AMD Ryzen 7 7840HS testing with a Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS) and GFX1103_R1 512MB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: GFX1103_R1 512MB (2208/1124MHz), Audio: AMD Device ab30, Network: MEDIATEK Device 0616 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2560x1600 b: Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: GFX1103_R1 512MB (2208/1124MHz), Audio: AMD Device ab30, Network: MEDIATEK Device 0616 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2560x1600 c: Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: GFX1103_R1 512MB (2208/1124MHz), Audio: AMD Device ab30, Network: MEDIATEK Device 0616 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2560x1600 d: Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital PC SN810 SDCPNRY-512G, Graphics: GFX1103_R1 512MB (2208/1124MHz), Audio: AMD Device ab30, Network: MEDIATEK Device 0616 OS: Ubuntu 22.04, Kernel: 6.5.0-35-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.255, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2560x1600 PyPerformance 1.11 Benchmark: gc_collect Milliseconds < Lower Is Better a . 1.15 | b . 875.00 |=================================================================== c . 867.00 |================================================================== d . 851.00 |================================================================= PyPerformance 1.11 Benchmark: raytrace Milliseconds < Lower Is Better a . 384 |====================================================================== b . 285 |==================================================== c . 285 |==================================================== d . 283 |==================================================== PyPerformance 1.11 Benchmark: nbody Milliseconds < Lower Is Better a . 117.0 |==================================================================== b . 89.9 |==================================================== c . 89.6 |==================================================== d . 87.7 |=================================================== PyPerformance 1.11 Benchmark: asyncio_websockets Milliseconds < Lower Is Better a . 488 |====================================================================== b . 370 |===================================================== c . 369 |===================================================== d . 369 |===================================================== PyPerformance 1.11 Benchmark: chaos Milliseconds < Lower Is Better a . 79.2 |===================================================================== b . 60.2 |==================================================== c . 60.6 |===================================================== d . 59.9 |==================================================== PyPerformance 1.11 Benchmark: go Milliseconds < Lower Is Better a . 190 |====================================================================== b . 144 |===================================================== c . 146 |====================================================== d . 145 |===================================================== PyPerformance 1.11 Benchmark: pathlib Milliseconds < Lower Is Better a . 22.0 |===================================================================== b . 16.7 |==================================================== c . 16.7 |==================================================== d . 16.7 |==================================================== PyPerformance 1.11 Benchmark: json_loads Milliseconds < Lower Is Better a . 17.1 |===================================================================== b . 13.2 |===================================================== c . 13.0 |==================================================== d . 13.1 |===================================================== PyPerformance 1.11 Benchmark: django_template Milliseconds < Lower Is Better a . 37.3 |===================================================================== b . 28.9 |===================================================== c . 29.1 |====================================================== d . 28.4 |===================================================== PyPerformance 1.11 Benchmark: regex_compile Milliseconds < Lower Is Better a . 119.0 |==================================================================== b . 91.3 |==================================================== c . 91.4 |==================================================== d . 92.2 |===================================================== PyPerformance 1.11 Benchmark: float Milliseconds < Lower Is Better a . 90.3 |===================================================================== b . 70.2 |====================================================== c . 70.1 |====================================================== d . 69.5 |===================================================== PyPerformance 1.11 Benchmark: crypto_pyaes Milliseconds < Lower Is Better a . 89.6 |===================================================================== b . 69.5 |====================================================== c . 69.5 |====================================================== d . 69.0 |===================================================== PyPerformance 1.11 Benchmark: pickle_pure_python Milliseconds < Lower Is Better a . 336 |====================================================================== b . 263 |======================================================= c . 261 |====================================================== d . 260 |====================================================== PyPerformance 1.11 Benchmark: python_startup Milliseconds < Lower Is Better a . 9.32 |===================================================================== b . 7.22 |===================================================== c . 7.22 |===================================================== d . 7.22 |===================================================== PyPerformance 1.11 Benchmark: xml_etree Milliseconds < Lower Is Better a . 57.8 |===================================================================== b . 44.8 |===================================================== c . 45.3 |====================================================== d . 45.2 |====================================================== PyPerformance 1.11 Benchmark: async_tree_io Milliseconds < Lower Is Better a . 1.61 |===================================================================== b . 1.33 |========================================================= c . 1.33 |========================================================= d . 1.33 |========================================================= Whisper.cpp 1.6.2 Model: ggml-small.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 440.28 |=================================================================== b . 385.52 |=========================================================== c . 384.58 |=========================================================== d . 385.93 |=========================================================== Whisper.cpp 1.6.2 Model: ggml-base.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 153.26 |=================================================================== b . 134.92 |=========================================================== c . 136.23 |============================================================ d . 136.40 |============================================================ Whisper.cpp 1.6.2 Model: ggml-medium.en - Input: 2016 State of the Union Seconds < Lower Is Better a . 1279.53 |================================================================== b . 1144.86 |=========================================================== c . 1146.11 |=========================================================== d . 1147.00 |=========================================================== PyPerformance 1.11 Benchmark: asyncio_tcp_ssl Milliseconds < Lower Is Better a . 2.12 |===================================================================== b . 2.08 |==================================================================== c . 2.01 |================================================================= d . 1.98 |================================================================