AMD Ryzen 7 7840U testing with a Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS) and GFX1103_R1 512MB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2406074-NE-PYPERFRYZ26
pyperf ryzen zen 4
AMD Ryzen 7 7840U testing with a Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS) and GFX1103_R1 512MB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: GFX1103_R1 512MB (2700/2800MHz), Audio: AMD Device 1640, 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: 2256x1504
b:
Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: GFX1103_R1 512MB (2700/2800MHz), Audio: AMD Device 1640, 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: 2256x1504
c:
Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework Laptop 13 (AMD Ryzen 7040 ) FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 2 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: GFX1103_R1 512MB (2700/2800MHz), Audio: AMD Device 1640, 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: 2256x1504
PyPerformance 1.11
Benchmark: go
Milliseconds < Lower Is Better
a . 141 |======================================================================
b . 142 |======================================================================
c . 140 |=====================================================================
PyPerformance 1.11
Benchmark: chaos
Milliseconds < Lower Is Better
a . 59.8 |=====================================================================
b . 60.0 |=====================================================================
c . 59.1 |====================================================================
PyPerformance 1.11
Benchmark: float
Milliseconds < Lower Is Better
a . 68.7 |====================================================================
b . 69.6 |=====================================================================
c . 69.7 |=====================================================================
PyPerformance 1.11
Benchmark: nbody
Milliseconds < Lower Is Better
a . 88.1 |==================================================================
b . 91.8 |=====================================================================
c . 89.6 |===================================================================
PyPerformance 1.11
Benchmark: pathlib
Milliseconds < Lower Is Better
a . 16.9 |=====================================================================
b . 16.8 |=====================================================================
c . 16.9 |=====================================================================
PyPerformance 1.11
Benchmark: raytrace
Milliseconds < Lower Is Better
a . 294 |======================================================================
b . 282 |===================================================================
c . 285 |====================================================================
PyPerformance 1.11
Benchmark: xml_etree
Milliseconds < Lower Is Better
a . 44.8 |=====================================================================
b . 44.7 |=====================================================================
c . 45.0 |=====================================================================
PyPerformance 1.11
Benchmark: gc_collect
Milliseconds < Lower Is Better
a . 873 |======================================================================
b . 868 |======================================================================
c . 853 |====================================================================
PyPerformance 1.11
Benchmark: json_loads
Milliseconds < Lower Is Better
a . 13.1 |=====================================================================
b . 13.1 |=====================================================================
c . 13.1 |=====================================================================
PyPerformance 1.11
Benchmark: crypto_pyaes
Milliseconds < Lower Is Better
a . 69.4 |=====================================================================
b . 68.5 |====================================================================
c . 68.9 |=====================================================================
PyPerformance 1.11
Benchmark: async_tree_io
Milliseconds < Lower Is Better
a . 1.35 |=====================================================================
b . 1.35 |=====================================================================
c . 1.34 |====================================================================
PyPerformance 1.11
Benchmark: regex_compile
Milliseconds < Lower Is Better
a . 91.6 |=====================================================================
b . 91.2 |=====================================================================
c . 91.6 |=====================================================================
PyPerformance 1.11
Benchmark: python_startup
Milliseconds < Lower Is Better
a . 7.22 |=====================================================================
b . 7.22 |=====================================================================
c . 7.22 |=====================================================================
PyPerformance 1.11
Benchmark: asyncio_tcp_ssl
Milliseconds < Lower Is Better
a . 2.00 |=====================================================================
b . 1.97 |====================================================================
c . 1.98 |====================================================================
PyPerformance 1.11
Benchmark: django_template
Milliseconds < Lower Is Better
a . 28.7 |=====================================================================
b . 28.7 |=====================================================================
c . 28.9 |=====================================================================
PyPerformance 1.11
Benchmark: asyncio_websockets
Milliseconds < Lower Is Better
a . 370 |======================================================================
b . 369 |======================================================================
c . 370 |======================================================================
PyPerformance 1.11
Benchmark: pickle_pure_python
Milliseconds < Lower Is Better
a . 259 |=====================================================================
b . 261 |======================================================================
c . 261 |======================================================================