Ubuntu vs. Arch Linux On Ryzen 9 5900HX
AMD Ryzen 9 5900HX benchmarking by Michael Larabel.
HTML result view exported from: https://openbenchmarking.org/result/2107267-IB-DIST2067337&grt&sro.
7-Zip Compression
Compress Speed Test
ASTC Encoder
Preset: Exhaustive
C-Blosc
Compressor: blosclz
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time
DeepSpeech
Acceleration: CPU
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
LevelDB
Benchmark: Hot Read
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Read
LevelDB
Benchmark: Seek Random
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
LibRaw
Post-Processing Benchmark
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: inception-v3
Ngspice
Circuit: C2670
Ngspice
Circuit: C7552
Numpy Benchmark
OpenVKL
Benchmark: vklBenchmark
PJSIP
Method: INVITE
PJSIP
Method: OPTIONS, Stateful
PJSIP
Method: OPTIONS, Stateless
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
RealSR-NCNN
Scale: 4x - TAA: No
RealSR-NCNN
Scale: 4x - TAA: Yes
RNNoise
SecureMark
Benchmark: SecureMark-TLS
Selenium
Benchmark: StyleBench - Browser: Firefox
Selenium
Benchmark: Jetstream 2 - Browser: Firefox
Selenium
Benchmark: PSPDFKit WASM - Browser: Firefox
Selenium
Benchmark: WASM imageConvolute - Browser: Firefox
Selenium
Benchmark: WASM collisionDetection - Browser: Firefox
Stockfish
Total Time
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Tesseract
Resolution: 1920 x 1080
Timed FFmpeg Compilation
Time To Compile
Timed GDB GNU Debugger Compilation
Time To Compile
Timed Godot Game Engine Compilation
Time To Compile
Timed Linux Kernel Compilation
Time To Compile
TNN
Target: CPU - Model: DenseNet
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: High
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Ultra
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Medium
VOSK Speech Recognition Toolkit
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 4K
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: No
WireGuard + Linux Networking Stack Stress Test
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Low
Xonotic
Resolution: 1920 x 1080 - Effects Quality: High
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultra
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultimate
Zstd Compression
Compression Level: 19 - Compression Speed
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Phoronix Test Suite v10.8.5