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
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"
"Selenium - Benchmark: MotionMark - Browser: Firefox (Score)",HIB,316.15,129.78,121.27,64.42,101.89,254.26
"OpenVKL - Benchmark: vklBenchmarkUnstructuredVolume (Items / Sec)",HIB,2117049.2113564,2106536.2344900,2073235.8948475,2076367.0283912,2068555.8506835,2064472.3785489
"MariaDB - Clients: 64 (Queries/sec)",HIB,502,464,164,476,470,526
"Java Gradle Build - Gradle Build: Reactor (sec)",LIB,215.760,246.413,,235.166,254.628,260.449
"MariaDB - Clients: 32 (Queries/sec)",HIB,575,517,178,529,527,594
"Selenium - Benchmark: WebXPRT - Browser: Firefox (Score)",HIB,262,242,231,238,225,252
"MariaDB - Clients: 16 (Queries/sec)",HIB,635,552,184,562,565,653
"MariaDB - Clients: 8 (Queries/sec)",HIB,683,579,187,585,586,703
"MariaDB - Clients: 4 (Queries/sec)",HIB,719,609,191,618,613,745
"Selenium - Benchmark: Basemark - Browser: Firefox (Overall Score)",HIB,479.98,429.13,385.85,384.82,397.24,431.99
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,364.97,380.61,374.27,366.44,380.66,379.54
"AI Benchmark Alpha - Device AI Score (Score)",HIB,3608,3463,,3559,3503,3572
"AI Benchmark Alpha - Device Training Score (Score)",HIB,1580,1542,,1533,1563,1606
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,2028,1921,,2026,1940,1966
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,922,963,929,954,959,967
"MariaDB - Clients: 1 (Queries/sec)",HIB,1313,1071,380,1085,1066,1389
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,269.21,269.62,267.18,269.06,269.20,269.70
"WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,176.854,275.621,215.949,,257.843,222.630
"Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,107.288,90.376,89.460,86.697,89.674,106.867
"Selenium - Benchmark: CanvasMark - Browser: Firefox (Score)",HIB,14843,14117,13525,13304,13405,13273
"Selenium - Benchmark: Jetstream - Browser: Firefox (Score)",HIB,230.88,204.94,203.04,197.19,203.16,225.63
"Appleseed - Scene: Emily (sec)",LIB,221.86174,229.218707,220.845038,223.660514,226.184091,220.696327
"SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.144,0.141,0.142,0.140,0.129,0.131
"G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,137.892,146.723,142.380,146.423,147.368,144.459
"PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.91,12.8,13.6,12.4,15.0,7.25
"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 Delete (us/Op)",LIB,131.554,336.042,253.753,312.388,378.604,137.592
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,123.805,126.584,125.267,124.325,123.763,123.963
"Selenium - Benchmark: ARES-6 - Browser: Firefox (ms)",LIB,37.12,43.06,43.53,54.37,42.70,38.16
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,92.369,94.162,92.753,91.810,95.012,98.104
"OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,279.78,263.28,267.86,266.72,262.14,278.47
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,91.49,94.36,94.51,94.22,94.16,93.98
"Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,111.2,92.1,84.54,81.7,86.1,96.42
"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
"GEGL - Operation: Cartoon (sec)",LIB,68.032,82.701,83.238,88.806,89.728,89.222
"Appleseed - Scene: Material Tester (sec)",LIB,124.575842,126.572672,123.877115,123.490148,126.713145,125.456688
"Appleseed - Scene: Disney Material (sec)",LIB,119.364659,121.493614,121.063896,119.875399,120.72405,125.255715
"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
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,42.873,53.123,45.161,42.057,48.911,48.162
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,379,399,532,384,379,380
"LevelDB - Benchmark: Hot Read (us/Op)",LIB,27.884,29.856,26.937,26.054,27.373,27.255
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,66.242,69.933,66.925,66.067,70.989,69.065
"OpenVKL - Benchmark: vklBenchmarkVdbVolume (Items / Sec)",HIB,24034590.545454,25869687.598485,23890022.681818,24329881.901515,23830007.946970,24490155.939394
"Selenium - Benchmark: StyleBench - Browser: Firefox (Runs / Minute)",HIB,106,81.9,78.2,77.0,77.6,97.0
"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
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,58.761,59.855,60.074,60.936,58.992,58.500
"oneDNN - Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,63.8638,64.3403,63.6007,64.1600,64.3778,64.3003
"oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,31.2479,33.6231,31.2206,31.9586,32.9952,33.0382
"oneDNN - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.01474,7.62505,7.03391,7.31372,7.44976,7.48011
"GEGL - Operation: Wavelet Blur (sec)",LIB,45.047,54.990,56.139,61.433,62.334,61.415
"PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,256,280,318,282,285,269
"GEGL - Operation: Color Enhance (sec)",LIB,46.504,50.398,51.735,57.186,57.066,56.251
"RawTherapee - Total Benchmark Time (sec)",LIB,52.924,50.223,54.242,55.375,49.574,46.385
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,62.2,60.3,60.3,62.5,60.3,60.1
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,2589257.58,1122888.63,2234902.15,2195222.33,2245690.26,2239340.32
"OpenVKL - Benchmark: vklBenchmarkStructuredVolume (Items / Sec)",HIB,77242408.522523,82733212.072072,74181298.963964,74565112.144144,73076122.819820,77849499.945946
"Selenium - Benchmark: Octane - Browser: Firefox (Geometric Mean)",HIB,37377,35017,34096,34759,35059,36995
"oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.21742,2.93578,2.19197,2.23689,2.37473,2.47983
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,14126.38,6655.08,13971.84,14133.04,12366.41,12410.69
"PyPerformance - Benchmark: go (Milliseconds)",LIB,199,203,248,200,201,205
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,38.922,41.141,39.302,39.354,41.481,40.856
"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
"GEGL - Operation: Rotate 90 Degrees (sec)",LIB,35.504,38.547,39.797,38.690,39.000,38.402
"miniFE - Problem Size: Small (CG Mflops)",HIB,7765.91,7760.97,,7808.87,7765.99,7758.83
"GEGL - Operation: Antialias (sec)",LIB,33.920,35.178,36.595,37.982,38.310,37.771
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,14.381,14.217,14.368,14.509,14.645,15.177
"LevelDB - Benchmark: Seek Random (us/Op)",LIB,33.867,35.246,32.518,31.094,32.670,32.945
"PyPerformance - Benchmark: django_template (Milliseconds)",LIB,38.5,38.8,50.2,37.8,38.3,38.8
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,32.140,33.992,31.272,29.826,35.747,32.808
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,524.27,436.88,374.82,449.73,402.84,419.65
"PyPerformance - Benchmark: float (Milliseconds)",LIB,91.3,94.7,113,92.2,90.9,93.2
"Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,794.2,926.1,920.4,908.8,900.7,808.2
"PyPerformance - Benchmark: chaos (Milliseconds)",LIB,86.4,88.3,118,87.3,88.1,86.7
"Stress-NG - Test: RdRand (Bogo Ops/s)",HIB,183992.91,184077.01,184108.05,184114.11,184120.79,184126.74
"PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,88.2,90.2,111,86.0,87.9,87.4
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,9336.49,9173.56,9348.10,6841.28,6720.17,9217.81
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,558.37,553.06,557.94,557.27,527.32,528.70
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10525250.86,8502197.06,8614325.83,10573952.05,8679774.77,8559740.86
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,188361441.20,188325102.59,189068262.91,188394196.76,187321493.89,187599255.48
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1171.61,1063.36,1328.55,1220.02,1285.01,1282.73
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,2628.89,2602.15,2601.36,2630.26,2592.11,2597.13
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,4809.12,3695.00,3698.33,3751.95,3712.14,3727.67
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,95142.17,95538.69,88386.50,85355.63,95538.07,95718.65
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,98712.06,96930.11,96882.39,131139.92,131140.06,96962.78
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,163109.71,163268.14,161809.73,162671.75,162931.65,165966.32
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,306077.08,300585.84,302561.01,313360.83,299248.56,299438.17
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,2934448.46,2502170.84,2584871.30,2533417.38,3128397.74,3585295.04
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,309.64,227.63,265.32,265.23,258.28,281.26
"GEGL - Operation: Tile Glass (sec)",LIB,27.354,27.904,29.453,30.511,30.320,29.815
"GEGL - Operation: Reflect (sec)",LIB,23.432,29.624,31.325,30.202,30.246,29.809
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,135,138,166,136,137,137
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,4801.6,4816.4,4785.7,4864.1,4776.2,4750.0
"LevelDB - Benchmark: Random Read (us/Op)",LIB,27.634,30.264,26.787,25.906,27.547,27.363
"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
"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 (us/Op)",LIB,132.259,341.365,265.712,324.790,384.565,137.910
"LevelDB - Benchmark: Overwrite (MB/s)",HIB,30.1,11.7,15,12.2,10.3,28.8
"Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,32.0,30.8,31.8,29.2,29.3,29.0
"PyPerformance - Benchmark: nbody (Milliseconds)",LIB,94.8,105,139,100,107,106
"PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,13.5,14.7,17,14.4,15.2,15.2
"Timed Apache Compilation - Time To Compile (sec)",LIB,20.958,27.610,24.055,20.016,23.296,20.098
"Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,461.3,464.9,468.8,475.7,466.6,465.3
"Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,1253,1468,1399,1396,1440,1317
"PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,346,359,445,352,347,351
"PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,22.1,22.8,25.3,20.0,20.2,20.6
"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: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.460891,0.46302,0.456251,0.457455,0.469399,0.458946
"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
"Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,4.1,5.3,5.4,5.0,5.1,4.1
"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
"OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,5218.7,5205.9,5205.1,5208.9,5199.0,5198.7
"Nebular Empirical Analysis Tool - (sec)",LIB,14.629,17.155,17.449,17.943,19.254,16.062
"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
"SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,6.145,5.906,6.008,5.861,5.548,5.655
"oneDNN - Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.47407,5.53279,5.46513,5.50766,5.57045,5.60503
"oneDNN - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.518726,0.548618,0.515937,0.518696,0.536834,0.547034
"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
"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: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.69965,1.71808,1.69440,1.69053,1.72229,1.70760
"GNU Octave Benchmark - (sec)",LIB,5.921,7.416,6.407,6.653,7.544,7.503
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,10.927,11.170,11.669,11.798,11.815,11.241
"GEGL - Operation: Crop (sec)",LIB,6.098,8.122,10.923,9.504,9.130,8.838
"SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,50.812,46.966,46.992,46.178,44.516,46.241
"Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,25.00,24.31,24.74,24.56,23.97,24.06
"SVT-HEVC - 1080p 8-bit YUV To HEVC Video Encode (FPS)",HIB,95.29,90.68,91.19,90.43,91.0,91.17
"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
"GEGL - Operation: Scale (sec)",LIB,4.390,5.684,8.477,7.396,6.877,6.492
"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
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,4.008,5.273,4.215,4.188,5.146,5.045
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,3.846,5.132,4.093,4.039,5.172,4.872
"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
"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
"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