Ryzen 9 5900X Clear Linux vs. Other Distributions
benchmarks on Clear Linux 10900KF
HTML result view exported from: https://openbenchmarking.org/result/2012232-FI-2012217HA91&grs&sor.
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: Kostya
Incompact3D
Input: Cylinder
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Overwrite
LevelDB
Benchmark: Overwrite
Mobile Neural Network
Model: mobilenet-v1-1.0
simdjson
Throughput Test: LargeRandom
x265
Video Input: Bosphorus 1080p
PHPBench
PHP Benchmark Suite
Facebook RocksDB
Test: Sequential Fill
LibRaw
Post-Processing Benchmark
libavif avifenc
Encoder Speed: 10
libavif avifenc
Encoder Speed: 8
LeelaChessZero
Backend: Eigen
Facebook RocksDB
Test: Random Read
Mobile Neural Network
Model: SqueezeNetV1.0
ASTC Encoder
Preset: Exhaustive
ASTC Encoder
Preset: Thorough
x264
H.264 Video Encoding
Timed FFmpeg Compilation
Time To Compile
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
Stockfish
Total Time
NCNN
Target: CPU - Model: regnety_400m
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
NCNN
Target: Vulkan GPU - Model: mobilenet
Basis Universal
Settings: UASTC Level 3
Redis
Test: GET
IndigoBench
Acceleration: CPU - Scene: Bedroom
DeepSpeech
Acceleration: CPU
LZ4 Compression
Compression Level: 9 - Compression Speed
Timed Linux Kernel Compilation
Time To Compile
C-Blosc
Compressor: blosclz
NCNN
Target: Vulkan GPU - Model: regnety_400m
x265
Video Input: Bosphorus 4K
rav1e
Speed: 10
Redis
Test: SET
LZ4 Compression
Compression Level: 3 - Compression Speed
RNNoise
NCNN
Target: CPU - Model: mobilenet
TensorFlow Lite
Model: Inception V4
Blender
Blend File: Barbershop - Compute: CPU-Only
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
Numpy Benchmark
Timed HMMer Search
Pfam Database Search
Blender
Blend File: Classroom - Compute: CPU-Only
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
PyBench
Total For Average Test Times
LevelDB
Benchmark: Random Read
Dolfyn
Computational Fluid Dynamics
LevelDB
Benchmark: Hot Read
NCNN
Target: CPU - Model: squeezenet_ssd
SQLite Speedtest
Timed Time - Size 1,000
Mobile Neural Network
Model: resnet-v2-50
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
asmFish
1024 Hash Memory, 26 Depth
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Decompression Speed
IndigoBench
Acceleration: CPU - Scene: Supercar
Mobile Neural Network
Model: MobileNetV2_224
libavif avifenc
Encoder Speed: 2
Facebook RocksDB
Test: Random Fill
Facebook RocksDB
Test: Read While Writing
Coremark
CoreMark Size 666 - Iterations Per Second
Crafty
Elapsed Time
GROMACS
Water Benchmark
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
Node.js V8 Web Tooling Benchmark
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
Mobile Neural Network
Model: inception-v3
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: CPU - Model: yolov4-tiny
Crypto++
Test: Unkeyed Algorithms
rav1e
Speed: 5
rav1e
Speed: 6
Himeno Benchmark
Poisson Pressure Solver
NCNN
Target: CPU - Model: efficientnet-b0
FFTE
N=256, 3D Complex FFT Routine
RawTherapee
Total Benchmark Time
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: blazeface
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU - Model: resnet50
Crypto++
Test: Keyed Algorithms
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: CPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: CPU - Model: googlenet
Zstd Compression
Compression Level: 19
NCNN
Target: Vulkan GPU - Model: blazeface
TNN
Target: CPU - Model: SqueezeNet v1.1
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
High Performance Conjugate Gradient
Chaos Group V-RAY
Mode: CPU
TNN
Target: CPU - Model: MobileNet v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
Phoronix Test Suite v10.8.5