Clear Linux vs Other Distros - Tiger Lake
Intel Core i7-1165G7 testing of Linux distributions for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2012273-HA-TIGERDIST42&sro&grt.
AI Benchmark Alpha
Device Inference Score
AI Benchmark Alpha
Device Training Score
AI Benchmark Alpha
Device AI Score
Appleseed
Scene: Emily
asmFish
1024 Hash Memory, 26 Depth
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
Basemark GPU
Renderer: OpenGL - Resolution: 1920 x 1200 - Graphics Preset: High
Basemark GPU
Renderer: Vulkan - Resolution: 1920 x 1200 - Graphics Preset: High
Basis Universal
Settings: UASTC Level 2
Chaos Group V-RAY
Mode: CPU
CLOMP
Static OMP Speedup
Darktable
Test: Boat - Acceleration: CPU-only
Darktable
Test: Masskrug - Acceleration: CPU-only
Darktable
Test: Server Room - Acceleration: CPU-only
DeepSpeech
Acceleration: CPU
Dolfyn
Computational Fluid Dynamics
ET: Legacy
Renderer: Renderer2 - Resolution: 1920 x 1200
Git
Time To Complete Common Git Commands
GROMACS
Water Benchmark
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
Acceleration: CPU - Scene: Supercar
LevelDB
Benchmark: Hot Read
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Fill
LevelDB
Benchmark: Random Read
LevelDB
Benchmark: Seek Random
LevelDB
Benchmark: Sequential Fill
LevelDB
Benchmark: Sequential Fill
libavif avifenc
Encoder Speed: 10
libjpeg-turbo tjbench
Test: Decompression Throughput
LibRaw
Post-Processing Benchmark
librsvg
Operation: SVG Files To PNG
LZ4 Compression
Compression Level: 1 - Compression Speed
LZ4 Compression
Compression Level: 1 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Compression Speed
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
LZ4 Compression
Compression Level: 9 - Decompression Speed
NAMD
ATPase Simulation - 327,506 Atoms
NCNN
Target: CPU - Model: mobilenet
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
NCNN
Target: Vulkan GPU - Model: regnety_400m
Numpy Benchmark
Perl Benchmarks
Test: Pod2html
Perl Benchmarks
Test: Interpreter
PyBench
Total For Average Test Times
PyPerformance
Benchmark: pathlib
PyPerformance
Benchmark: json_loads
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: python_startup
RawTherapee
Total Benchmark Time
RealSR-NCNN
Scale: 4x - TAA: No
RealSR-NCNN
Scale: 4x - TAA: Yes
Selenium
Benchmark: ARES-6 - Browser: Firefox
Selenium
Benchmark: Kraken - Browser: Firefox
Selenium
Benchmark: Octane - Browser: Firefox
Selenium
Benchmark: Jetstream - Browser: Firefox
Selenium
Benchmark: CanvasMark - Browser: Firefox
Selenium
Benchmark: StyleBench - Browser: Firefox
Selenium
Benchmark: Jetstream 2 - Browser: Firefox
Selenium
Benchmark: Maze Solver - Browser: Firefox
Selenium
Benchmark: Speedometer - Browser: Firefox
Selenium
Benchmark: PSPDFKit WASM - Browser: Firefox
Selenium
Benchmark: WASM imageConvolute - Browser: Firefox
Selenium
Benchmark: WASM collisionDetection - Browser: Firefox
SQLite Speedtest
Timed Time - Size 1,000
Stockfish
Total Time
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Inception V4
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Inception ResNet V2
Tesseract
Resolution: 1920 x 1200
Timed Eigen Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed Linux Kernel Compilation
Time To Compile
Timed MrBayes Analysis
Primate Phylogeny Analysis
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
VP9 libvpx Encoding
Speed: Speed 5
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: No
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: Yes
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
WireGuard + Linux Networking Stack Stress Test
x264
H.264 Video Encoding
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
Xonotic
Resolution: 1920 x 1200 - Effects Quality: Low
Xonotic
Resolution: 1920 x 1200 - Effects Quality: High
Xonotic
Resolution: 1920 x 1200 - Effects Quality: Ultra
Xonotic
Resolution: 1920 x 1200 - Effects Quality: Ultimate
XZ Compression
Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9
Zstd Compression
Compression Level: 3
Zstd Compression
Compression Level: 19
Phoronix Test Suite v10.8.5