linux-6-11-bore

AMD Ryzen 5 7600X 6-Core testing with a ASRock B650M Pro RS WiFi (3.08 BIOS) and Intel Arctm A770 DG2 16GB on EndeavourOS rolling 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 2411155-NE-LINUX611B74
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Identifier
Performance Per
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Date
Run
  Test
  Duration
Intel Arctm A770 DG2
November 02
  1 Minute
mesa-25.0-nov-8-i915
November 08
 
mesa-25.0-nov-14-i915
November 16
  9 Minutes
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linux-6-11-boreProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionIntel Arctm A770 DG2mesa-25.0-nov-8-i915mesa-25.0-nov-14-i915AMD Ryzen 5 7600X 6-Core @ 6.03GHz (6 Cores / 12 Threads)ASRock B650M Pro RS WiFi (3.08 BIOS)AMD Device 14d832GB1000GB Samsung SSD 980 PRO 1TBIntel Arctm A770 DG2 16GBRealtek ALC897LG HDR 4KRealtek RTL8125 2.5GbE + MEDIATEK MT7922 802.11ax PCIEndeavourOS rolling6.11.6-1-cachyos-bore (x86_64)GNOME Shell 47.1X Server + Wayland4.6 Mesa 24.3.0-devel (git-5c63d7a916)GCC 14.2.1 20240910 + Clang 18.1.8 + LLVM 18.1.8ext43840x2160Intel Arctm A770 DG2 16GB (2400MHz)4.6 Mesa 25.0.0-devel (git-8d2620569c)6.11.8-1-cachyos-bore (x86_64)4.6 Mesa 25.0.0-devel (git-1368ee5e1a)OpenBenchmarking.orgKernel Details- Intel Arctm A770 DG2: i915.force_probe=!56a0 xe.force_probe=56a0 - Transparent Huge Pages: always- mesa-25.0-nov-8-i915: Transparent Huge Pages: always- mesa-25.0-nov-14-i915: Transparent Huge Pages: alwaysProcessor Details- Intel Arctm A770 DG2: Scaling Governor: amd-pstate-epp performance (Boost: Enabled EPP: performance) - CPU Microcode: 0xa601209- mesa-25.0-nov-8-i915: Scaling Governor: amd-pstate-epp powersave (Boost: Enabled EPP: balance_performance) - CPU Microcode: 0xa601209- mesa-25.0-nov-14-i915: Scaling Governor: amd-pstate-epp powersave (Boost: Enabled EPP: balance_performance) - CPU Microcode: 0xa601209Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesIntel Arctm A770 DG21.12932.25863.38794.51725.6465SE +/- 0.016, N = 35.019

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.87Resolution: 3840 x 2160 - Renderer: Vulkanmesa-25.0-nov-14-i91520406080100SE +/- 0.97, N = 393.7