Intel Core i5 11600K Core i9 11900K Linux benchmarks for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2103296-IB-DESKTOPCP63
Intel Core i5 11600K + Core i9 11900K Linux Performance
Intel Core i5 11600K Core i9 11900K Linux benchmarks for a future article.
,,"Ryzen 9 5950X","Core i9 11900K"
Processor,,AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads),Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads)
Motherboard,,ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3302 BIOS),ASUS ROG MAXIMUS XIII HERO (0610 BIOS)
Chipset,,AMD Starship/Matisse,Intel Tiger Lake-H
Memory,,32GB,32GB
Disk,,1000GB Western Digital WD_BLACK SN850 1TB,1000GB Western Digital WD_BLACK SN850 1TB
Graphics,,AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz),AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)
OS,,Ubuntu 21.04,Ubuntu 21.04
Kernel,,5.12.0-051200rc3daily20210315-generic (x86_64) 20210314,5.12.0-051200rc3daily20210315-generic (x86_64) 20210314
Desktop,,GNOME Shell 3.38.3,GNOME Shell 3.38.3
Display Server,,X Server 1.20.9 + Wayland,X Server 1.20.9 + Wayland
OpenGL,,4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0),4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0)
Compiler,,GCC 10.2.1 20210312,GCC 10.2.1 20210312
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"Ryzen 9 5950X","Core i9 11900K"
"Java Gradle Build - Gradle Build: Reactor (sec)",LIB,208.728,174.130
"GNU Radio - Test: FM Deemphasis Filter (MiB/s)",HIB,1068.0,1082.1
"GNU Radio - Test: Five Back to Back FIR Filters (MiB/s)",HIB,990.5,1496.4
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,405,831
"ONNX Runtime - Model: bertsquad-10 - Device: OpenMP CPU (Inferences/min)",HIB,669,853
"ONNX Runtime - Model: super-resolution-10 - Device: OpenMP CPU (Inferences/min)",HIB,7782,7839
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,32.140,23.040
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.328,1.930
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.316,1.995
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,24.145,19.751
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.162,3.781
"LuaRadio - Test: FM Deemphasis Filter (MiB/s)",HIB,459.7,546.8
"Ngspice - Circuit: C2670 (sec)",LIB,109.204,107.971
"Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,97.370,102.357
"Himeno Benchmark - Poisson Pressure Solver (MFLOPS)",HIB,5206.593516,5666.349772
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,183,173
"Polyhedron Fortran Benchmarks - Benchmark: rnflow (sec)",LIB,13.27,11.7
"Selenium - Benchmark: ARES-6 - Browser: Firefox (ms)",LIB,43.79,38.25
"G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,87.682,76.986
"WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,141.648,131.077
"ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,1344.52,1743.56
"ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,785.996,1201.28
"PlaidML - FP16: No - Mode: Inference - Network: VGG19 - Device: CPU (FPS)",HIB,17.49,17.64
"ONNX Runtime - Model: yolov4 - Device: OpenMP CPU (Inferences/min)",HIB,439,458
"ONNX Runtime - Model: shufflenet-v2-10 - Device: OpenMP CPU (Inferences/min)",HIB,15548,17630
"PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU (FPS)",HIB,21.31,21.56
"Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,125,136.1
"Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,62.412,57.467
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,89319,89069
"simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,5.47,5.63
"simdjson - Throughput Test: PartialTweets (GB/s)",HIB,5.11,5.21
"Perl Benchmarks - Test: Pod2html (sec)",LIB,0.08976200,0.08675548
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,17.74,10.94
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,24.55,24.51
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,14.39,12.87
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,58.85,56.10
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,12.91,12.15
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,3.99,3.45
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.46,3.74
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.16,3.60
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.47,4.40
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,987,1066
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1043,1275
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,342,339
"JPEG XL Decoding - CPU Threads: 1 (MP/s)",HIB,52.83,56.62
"Selenium - Benchmark: StyleBench - Browser: Firefox (Runs / Minute)",HIB,109,122
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,4318.7,4399.4
"DeepSpeech - Acceleration: CPU (sec)",LIB,62.18046,60.47728
"RAR Compression - Linux Source Tree Archiving To RAR (sec)",LIB,47.576,36.119
"JPEG XL Decoding - CPU Threads: All (MP/s)",HIB,208.78,229.83
"Cryptsetup - AES-XTS 512b Decryption (MiB/s)",HIB,4512.8,4788.0
"Cryptsetup - AES-XTS 512b Encryption (MiB/s)",HIB,4512.3,4814.3
"Cryptsetup - AES-XTS 256b Decryption (MiB/s)",HIB,5349.9,5412.4
"Cryptsetup - AES-XTS 256b Encryption (MiB/s)",HIB,5356.4,5407.8
"Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,4676.4,4772.2
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,34907,34730
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,211544.75,358263.94
"dcraw - RAW To PPM Image Conversion (sec)",LIB,34.691,31.061
"FinanceBench - Benchmark: Repo OpenMP (ms)",LIB,27280.444010,26739.398437
"PyPerformance - Benchmark: go (Milliseconds)",LIB,185,184
"Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,2812,2776
"PyPerformance - Benchmark: nbody (Milliseconds)",LIB,89.7,83.1
"GEGL - Operation: Rotate 90 Degrees (sec)",LIB,29.771,29.528
"Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,210109200,259753933
"PyPerformance - Benchmark: django_template (Milliseconds)",LIB,35.0,34.8
"srsLTE - Test: OFDM_Test (Samples / Second)",HIB,164400000,175933333
"PyPerformance - Benchmark: chaos (Milliseconds)",LIB,77.8,75.1
"PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,76.7,73.0
"PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,319,305
"srsLTE - Test: PHY_DL_Test (UE Mb/s)",HIB,128.2,131.3
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,121,120
"Botan - Test: AES-256 (MiB/s)",HIB,7369.244,7835.372
"QuantLib - (MFLOPS)",HIB,3210.9,3326.4
"PHPBench - PHP Benchmark Suite (Score)",HIB,825006,1020215
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.04124,0.820349
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,590223333,628696667
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,154236667,156933333
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,300293333,319466667
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,78891333,81643333
"PyBench - Total For Average Test Times (Milliseconds)",LIB,738,714
"JPEG XL - Input: PNG - Encode Speed: 5 (MP/s)",HIB,71.85,74.80
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,18.731,18.373
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.829528,0.706045
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.36742,1.26963
"GIMP - Test: unsharp-mask (sec)",LIB,12.042,11.156
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,106.04,113.76
"GIMP - Test: auto-levels (sec)",LIB,9.510,9.332
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.1647,13.8974
"Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,6.024,4.558
"Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,5.738,3.458
"Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,5.259,4.284
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,2.926,2.853
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.59128,1.44086
"Etcpak - Configuration: DXT1 (Mpx/s)",HIB,1541.284,2387.846
"Optcarrot - Optimized Benchmark (FPS)",HIB,161.08,186.70