Core i9 Clear Linux Benchmarks

Intel Core i9-10980XE tests 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 2008025-NE-CLEAR836563
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  Test
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Clear Linux 33540
July 27 2020
  9 Hours, 49 Minutes
Endeavour OS Rolling
July 28 2020
  11 Hours, 21 Minutes
openSUSE Tumbleweed 20200727
July 29 2020
  13 Hours, 52 Minutes
Debian Buster Testing
July 30 2020
  11 Hours, 7 Minutes
Ubuntu 20.04
July 31 2020
  11 Hours, 19 Minutes
Ubuntu 20.10 20200801
August 01 2020
  10 Hours, 7 Minutes
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  11 Hours, 16 Minutes

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Core i9 Clear Linux Benchmarks Intel Core i9-10980XE tests for a future article. ,,"Clear Linux 33540","Endeavour OS Rolling","openSUSE Tumbleweed 20200727","Debian Buster Testing","Ubuntu 20.04","Ubuntu 20.10 20200801" Processor,,Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads) Motherboard,,ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS) Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers Memory,,32GB,32GB,32GB,32GB,32GB,32GB Disk,,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB + 32GB Flash Disk,Samsung SSD 970 PRO 512GB + 32GB Flash Disk,Samsung SSD 970 PRO 512GB + 32GB Flash Disk,Samsung SSD 970 PRO 512GB + 32GB Flash Disk,Samsung SSD 970 PRO 512GB Graphics,,NVIDIA NV132 11GB,NVIDIA GeForce GTX 1080 Ti 11GB,NVIDIA NV132 11GB,NVIDIA NV132 11GB,NVIDIA GeForce GTX 1080 Ti 11GB,NVIDIA NV132 11GB Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220 Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,Intel I219-V + Intel I211,Intel I219-V + Intel I211,Intel I219-V + Intel I211,Intel I219-V + Intel I211,Intel I219-V + Intel I211,Intel I219-V + Intel I211 OS,,Clear Linux OS 33540,EndeavourOS rolling,openSUSE Tumbleweed 20200727,Debian testing,Ubuntu 20.04,Ubuntu 20.10 Kernel,,5.7.10-972.native (x86_64),5.7.10-arch1-1 (x86_64),5.7.9-1-default (x86_64),5.7.0-1-amd64 (x86_64),5.4.0-42-generic (x86_64),5.4.0-42-generic (x86_64) Desktop,,GNOME Shell 3.36.4,Xfce 4.14,KDE Plasma 5.19.3,GNOME Shell 3.36.4,GNOME Shell 3.36.3,GNOME Shell 3.36.4 Display Server,,X Server 1.20.7,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 + Wayland,X Server 1.20.8,X Server 1.20.8 Display Driver,,nouveau 1.0.16,modesetting 1.20.8,nouveau 1.0.16,nouveau 1.0.16,modesetting 1.20.8,modesetting 1.20.8 OpenGL,,4.3 Mesa 20.2.0-devel,4.3 Mesa 20.1.4,4.3 Mesa 20.1.4,4.3 Mesa 20.1.2,4.3 Mesa 20.0.8,4.3 Mesa 20.1.2 Compiler,,GCC 10.2.1 20200723 releases/gcc-10.2.0-3-g677b80db41 + Clang 10.0.1 + LLVM 10.0.1,GCC 10.1.0,GCC 10.1.1 20200625 [revision c91e43e9363bd119a695d64505f96539fa451bf2],GCC 9.3.0,GCC 9.3.0,GCC 10.2.0 File-System,,ext4,ext4,btrfs,ext4,ext4,ext4 Screen Resolution,,3840x2160,3840x2160,3840x2160,3840x2160,3840x2160,3840x2160 ,,"Clear Linux 33540","Endeavour OS Rolling","openSUSE Tumbleweed 20200727","Debian Buster Testing","Ubuntu 20.04","Ubuntu 20.10 20200801" "MariaDB - Clients: 4 (Queries/sec)",HIB,719,609,191,618,613,745 "MariaDB - Clients: 8 (Queries/sec)",HIB,683,579,187,585,586,703 "MariaDB - Clients: 1 (Queries/sec)",HIB,1313,1071,380,1085,1066,1389 "MariaDB - Clients: 16 (Queries/sec)",HIB,635,552,184,562,565,653 "MariaDB - Clients: 32 (Queries/sec)",HIB,575,517,178,529,527,594 "MariaDB - Clients: 64 (Queries/sec)",HIB,502,464,164,476,470,526 "LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,131.178,345.671,268.709,325.294,390.372,137.901 "LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,30.3,11.5,14.8,12.2,10.2,28.8 "LevelDB - Benchmark: Random Fill (us/Op)",LIB,131.855,344.437,266.724,322.784,386.325,138.772 "LevelDB - Benchmark: Random Fill (MB/s)",HIB,30.1,11.6,14.9,12.3,10.3,28.6 "LevelDB - Benchmark: Overwrite (MB/s)",HIB,30.1,11.7,15,12.2,10.3,28.8 "LevelDB - Benchmark: Overwrite (us/Op)",LIB,132.259,341.365,265.712,324.790,384.565,137.910 "LevelDB - Benchmark: Random Delete (us/Op)",LIB,131.554,336.042,253.753,312.388,378.604,137.592 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,592.73,1323.13,549.99,547.18,1338.23,1339.81 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,2589257.58,1122888.63,2234902.15,2195222.33,2245690.26,2239340.32 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.91,12.8,13.6,12.4,15.0,7.25 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,14126.38,6655.08,13971.84,14133.04,12366.41,12410.69 "GEGL - Operation: Scale (sec)",LIB,4.390,5.684,8.477,7.396,6.877,6.492 "GEGL - Operation: Crop (sec)",LIB,6.098,8.122,10.923,9.504,9.130,8.838 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,33446.864818529,19910.557855714,21733.304807404,21252.601751762,21174.126907172,24482.985383638 "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,176.854,275.621,215.949,,257.843,222.630 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,94.8,105,139,100,107,106 "Selenium - Benchmark: ARES-6 - Browser: Firefox (ms)",LIB,37.12,43.06,43.53,54.37,42.70,38.16 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,2934448.46,2502170.84,2584871.30,2533417.38,3128397.74,3585295.04 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.382740,0.499770,0.368470,0.352571,0.374311,0.451281 "G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,14.784,12.848,13.707,18.147,18.067,18.067 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,379,399,532,384,379,380 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,524.27,436.88,374.82,449.73,402.84,419.65 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,9336.49,9173.56,9348.10,6841.28,6720.17,9217.81 "GEGL - Operation: Wavelet Blur (sec)",LIB,45.047,54.990,56.139,61.433,62.334,61.415 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,49.7557,65.7953,47.6975,48.2405,56.3594,64.1613 "Timed Apache Compilation - Time To Compile (sec)",LIB,20.958,27.610,24.055,20.016,23.296,20.098 "Selenium - Benchmark: StyleBench - Browser: Firefox (Runs / Minute)",HIB,106,81.9,78.2,77.0,77.6,97.0 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,86.4,88.3,118,87.3,88.1,86.7 "Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,111.2,92.1,84.54,81.7,86.1,96.42 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,309.64,227.63,265.32,265.23,258.28,281.26 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,98712.06,96930.11,96882.39,131139.92,131140.06,96962.78 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,3.846,5.132,4.093,4.039,5.172,4.872 "GEGL - Operation: Reflect (sec)",LIB,23.432,29.624,31.325,30.202,30.246,29.809 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,38.5,38.8,50.2,37.8,38.3,38.8 "GEGL - Operation: Cartoon (sec)",LIB,68.032,82.701,83.238,88.806,89.728,89.222 "Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,4.1,5.3,5.4,5.0,5.1,4.1 "Nebular Empirical Analysis Tool - (sec)",LIB,14.629,17.155,17.449,17.943,19.254,16.062 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,4.008,5.273,4.215,4.188,5.146,5.045 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,4809.12,3695.00,3698.33,3751.95,3712.14,3727.67 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,88.2,90.2,111,86.0,87.9,87.4 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,346,359,445,352,347,351 "GNU Octave Benchmark - (sec)",LIB,5.921,7.416,6.407,6.653,7.544,7.503 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,22.1,22.8,25.3,20.0,20.2,20.6 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,42.873,53.123,45.161,42.057,48.911,48.162 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,13.5,14.7,17,14.4,15.2,15.2 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1171.61,1063.36,1328.55,1220.02,1285.01,1282.73 "Selenium - Benchmark: Basemark - Browser: Firefox (Overall Score)",HIB,479.98,429.13,385.85,384.82,397.24,431.99 "PyPerformance - Benchmark: go (Milliseconds)",LIB,199,203,248,200,201,205 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10525250.86,8502197.06,8614325.83,10573952.05,8679774.77,8559740.86 "PyPerformance - Benchmark: float (Milliseconds)",LIB,91.3,94.7,113,92.2,90.9,93.2 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,256,280,318,282,285,269 "Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,107.288,90.376,89.460,86.697,89.674,106.867 "GEGL - Operation: Color Enhance (sec)",LIB,46.504,50.398,51.735,57.186,57.066,56.251 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,135,138,166,136,137,137 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.47938,1.30294,1.47720,1.59120,1.36597,1.32393 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.612105,0.725056,0.608649,0.604215,0.735719,0.711157 "Java Gradle Build - Gradle Build: Reactor (sec)",LIB,215.760,246.413,,235.166,254.628,260.449 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,32.140,33.992,31.272,29.826,35.747,32.808 "RawTherapee - Total Benchmark Time (sec)",LIB,52.924,50.223,54.242,55.375,49.574,46.385 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,158.447,186.007,156.361,156.586,169.727,181.987 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,1038.36,880.99,1019.69,1026.61,893.18,902.78 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.10367,9.29868,9.19435,10.7215,9.29134,9.32778 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.63138,9.83508,9.74950,11.3339,9.81895,9.90979 "Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,1253,1468,1399,1396,1440,1317 "Selenium - Benchmark: Jetstream - Browser: Firefox (Score)",HIB,230.88,204.94,203.04,197.19,203.16,225.63 "LevelDB - Benchmark: Random Read (us/Op)",LIB,27.634,30.264,26.787,25.906,27.547,27.363 "Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,794.2,926.1,920.4,908.8,900.7,808.2 "Selenium - Benchmark: WebXPRT - Browser: Firefox (Score)",HIB,262,242,231,238,225,252 "LevelDB - Benchmark: Hot Read (us/Op)",LIB,27.884,29.856,26.937,26.054,27.373,27.255 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,50.812,46.966,46.992,46.178,44.516,46.241 "LevelDB - Benchmark: Seek Random (us/Op)",LIB,33.867,35.246,32.518,31.094,32.670,32.945 "OpenVKL - Benchmark: vklBenchmarkStructuredVolume (Items / Sec)",HIB,77242408.522523,82733212.072072,74181298.963964,74565112.144144,73076122.819820,77849499.945946 "GEGL - Operation: Antialias (sec)",LIB,33.920,35.178,36.595,37.982,38.310,37.771 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,95142.17,95538.69,88386.50,85355.63,95538.07,95718.65 "GEGL - Operation: Rotate 90 Degrees (sec)",LIB,35.504,38.547,39.797,38.690,39.000,38.402 "Selenium - Benchmark: CanvasMark - Browser: Firefox (Score)",HIB,14843,14117,13525,13304,13405,13273 "SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.144,0.141,0.142,0.140,0.129,0.131 "GEGL - Operation: Tile Glass (sec)",LIB,27.354,27.904,29.453,30.511,30.320,29.815 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,6.145,5.906,6.008,5.861,5.548,5.655 "Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,32.0,30.8,31.8,29.2,29.3,29.0 "Selenium - Benchmark: Octane - Browser: Firefox (Geometric Mean)",HIB,37377,35017,34096,34759,35059,36995 "oneDNN - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.01474,7.62505,7.03391,7.31372,7.44976,7.48011 "OpenVKL - Benchmark: vklBenchmarkVdbVolume (Items / Sec)",HIB,24034590.545454,25869687.598485,23890022.681818,24329881.901515,23830007.946970,24490155.939394 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,10.927,11.170,11.669,11.798,11.815,11.241 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.02782,9.32855,8.63233,8.72457,9.25357,9.19769 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,31.2479,33.6231,31.2206,31.9586,32.9952,33.0382 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,66.242,69.933,66.925,66.067,70.989,69.065 "G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,137.892,146.723,142.380,146.423,147.368,144.459 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,92.369,94.162,92.753,91.810,95.012,98.104 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,14.381,14.217,14.368,14.509,14.645,15.177 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,279.78,263.28,267.86,266.72,262.14,278.47 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.58314,2.75424,2.58588,2.59600,2.72188,2.75190 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,38.922,41.141,39.302,39.354,41.481,40.856 "oneDNN - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.518726,0.548618,0.515937,0.518696,0.536834,0.547034 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,558.37,553.06,557.94,557.27,527.32,528.70 "AI Benchmark Alpha - Device Inference Score (Score)",HIB,2028,1921,,2026,1940,1966 "SVT-HEVC - 1080p 8-bit YUV To HEVC Video Encode (FPS)",HIB,95.29,90.68,91.19,90.43,91.0,91.17 "G'MIC - Test: 3D Elevated Function In Random Colors, 100 Times (sec)",LIB,59.163,60.270,62.203,59.832,60.006,59.948 "Appleseed - Scene: Disney Material (sec)",LIB,119.364659,121.493614,121.063896,119.875399,120.72405,125.255715 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,922,963,929,954,959,967 "AI Benchmark Alpha - Device Training Score (Score)",HIB,1580,1542,,1533,1563,1606 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,306077.08,300585.84,302561.01,313360.83,299248.56,299438.17 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,1.70904,1.76655,1.69843,1.71583,1.77703,1.77310 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,364.97,380.61,374.27,366.44,380.66,379.54 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,25.00,24.31,24.74,24.56,23.97,24.06 "AI Benchmark Alpha - Device AI Score (Score)",HIB,3608,3463,,3559,3503,3572 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,58.761,59.855,60.074,60.936,58.992,58.500 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,62.2,60.3,60.3,62.5,60.3,60.1 "Appleseed - Scene: Emily (sec)",LIB,221.86174,229.218707,220.845038,223.660514,226.184091,220.696327 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,91.49,94.36,94.51,94.22,94.16,93.98 "Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,461.3,464.9,468.8,475.7,466.6,465.3 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.460891,0.46302,0.456251,0.457455,0.469399,0.458946 "Appleseed - Scene: Material Tester (sec)",LIB,124.575842,126.572672,123.877115,123.490148,126.713145,125.456688 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,163109.71,163268.14,161809.73,162671.75,162931.65,165966.32 "oneDNN - Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.47407,5.53279,5.46513,5.50766,5.57045,5.60503 "OpenVKL - Benchmark: vklBenchmarkUnstructuredVolume (Items / Sec)",HIB,2117049.2113564,2106536.2344900,2073235.8948475,2076367.0283912,2068555.8506835,2064472.3785489 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,4801.6,4816.4,4785.7,4864.1,4776.2,4750.0 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,123.805,126.584,125.267,124.325,123.763,123.963 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7.99184,7.87231,7.95654,8.02752,7.92334,7.94039 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.69965,1.71808,1.69440,1.69053,1.72229,1.70760 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,10.8150,10.9467,10.7622,10.8075,10.9177,10.8318 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,2628.89,2602.15,2601.36,2630.26,2592.11,2597.13 "oneDNN - Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,63.8638,64.3403,63.6007,64.1600,64.3778,64.3003 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,269.21,269.62,267.18,269.06,269.20,269.70 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,188361441.20,188325102.59,189068262.91,188394196.76,187321493.89,187599255.48 "miniFE - Problem Size: Small (CG Mflops)",HIB,7765.91,7760.97,,7808.87,7765.99,7758.83 "OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,5218.7,5205.9,5205.1,5208.9,5199.0,5198.7 "Stress-NG - Test: RdRand (Bogo Ops/s)",HIB,183992.91,184077.01,184108.05,184114.11,184120.79,184126.74 "Selenium - Benchmark: MotionMark - Browser: Firefox (Score)",HIB,316.15,129.78,121.27,64.42,101.89,254.26 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.21742,2.93578,2.19197,2.23689,2.37473,2.47983