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