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/2107253-IB-2107255IB84&sor&grs.
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
WireGuard + Linux Networking Stack Stress Test
PJSIP
Method: OPTIONS, Stateful
Timed GDB GNU Debugger Compilation
Time To Compile
LibRaw
Post-Processing Benchmark
Ngspice
Circuit: C7552
PJSIP
Method: INVITE
7-Zip Compression
Compress Speed Test
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
PJSIP
Method: OPTIONS, Stateless
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Overwrite
Timed Linux Kernel Compilation
Time To Compile
Numpy Benchmark
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 4K
Selenium
Benchmark: Jetstream 2 - Browser: Firefox
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: High
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: No
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Ultra
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Medium
Mobile Neural Network
Model: mobilenetV3
C-Blosc
Compressor: blosclz
Zstd Compression
Compression Level: 19 - Decompression Speed
Ngspice
Circuit: C2670
Selenium
Benchmark: StyleBench - Browser: Firefox
DeepSpeech
Acceleration: CPU
Timed FFmpeg Compilation
Time To Compile
Mobile Neural Network
Model: mobilenet-v1-1.0
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
Timed Godot Game Engine Compilation
Time To Compile
RNNoise
Mobile Neural Network
Model: resnet-v2-50
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
LevelDB
Benchmark: Random Read
LevelDB
Benchmark: Hot Read
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
TNN
Target: CPU - Model: MobileNet v2
VOSK Speech Recognition Toolkit
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Low
LevelDB
Benchmark: Seek Random
RealSR-NCNN
Scale: 4x - TAA: Yes
Mobile Neural Network
Model: squeezenetv1.1
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultimate
Tesseract
Resolution: 1920 x 1080
Stockfish
Total Time
Xonotic
Resolution: 1920 x 1080 - Effects Quality: High
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultra
RealSR-NCNN
Scale: 4x - TAA: No
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Selenium
Benchmark: PSPDFKit WASM - Browser: Firefox
Selenium
Benchmark: WASM imageConvolute - Browser: Firefox
TNN
Target: CPU - Model: SqueezeNet v1.1
SecureMark
Benchmark: SecureMark-TLS
TNN
Target: CPU - Model: DenseNet
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
OpenVKL
Benchmark: vklBenchmark
Embree
Binary: Pathtracer ISPC - Model: Crown
TNN
Target: CPU - Model: SqueezeNet v2
Zstd Compression
Compression Level: 19 - Compression Speed
Selenium
Benchmark: WASM collisionDetection - Browser: Firefox
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
ASTC Encoder
Preset: Exhaustive
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2
Phoronix Test Suite v10.8.4