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"
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,2028,1921,,2026,1940,1966
"AI Benchmark Alpha - Device Training Score (Score)",HIB,1580,1542,,1533,1563,1606
"AI Benchmark Alpha - Device AI Score (Score)",HIB,3608,3463,,3559,3503,3572
"Appleseed - Scene: Emily (sec)",LIB,221.86174,229.218707,220.845038,223.660514,226.184091,220.696327
"Appleseed - Scene: Disney Material (sec)",LIB,119.364659,121.493614,121.063896,119.875399,120.72405,125.255715
"Appleseed - Scene: Material Tester (sec)",LIB,124.575842,126.572672,123.877115,123.490148,126.713145,125.456688
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,91.49,94.36,94.51,94.22,94.16,93.98
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,269.21,269.62,267.18,269.06,269.20,269.70
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,364.97,380.61,374.27,366.44,380.66,379.54
"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
"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
"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
"G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,137.892,146.723,142.380,146.423,147.368,144.459
"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
"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
"GEGL - Operation: Crop (sec)",LIB,6.098,8.122,10.923,9.504,9.130,8.838
"GEGL - Operation: Scale (sec)",LIB,4.390,5.684,8.477,7.396,6.877,6.492
"GEGL - Operation: Cartoon (sec)",LIB,68.032,82.701,83.238,88.806,89.728,89.222
"GEGL - Operation: Reflect (sec)",LIB,23.432,29.624,31.325,30.202,30.246,29.809
"GEGL - Operation: Antialias (sec)",LIB,33.920,35.178,36.595,37.982,38.310,37.771
"GEGL - Operation: Tile Glass (sec)",LIB,27.354,27.904,29.453,30.511,30.320,29.815
"GEGL - Operation: Wavelet Blur (sec)",LIB,45.047,54.990,56.139,61.433,62.334,61.415
"GEGL - Operation: Color Enhance (sec)",LIB,46.504,50.398,51.735,57.186,57.066,56.251
"GEGL - Operation: Rotate 90 Degrees (sec)",LIB,35.504,38.547,39.797,38.690,39.000,38.402
"GNU Octave Benchmark - (sec)",LIB,5.921,7.416,6.407,6.653,7.544,7.503
"Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,25.00,24.31,24.74,24.56,23.97,24.06
"Java Gradle Build - Gradle Build: Reactor (sec)",LIB,215.760,246.413,,235.166,254.628,260.449
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,922,963,929,954,959,967
"LevelDB - Benchmark: Hot Read (us/Op)",LIB,27.884,29.856,26.937,26.054,27.373,27.255
"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 Fill (MB/s)",HIB,30.1,11.6,14.9,12.3,10.3,28.6
"LevelDB - Benchmark: Random Fill (us/Op)",LIB,131.855,344.437,266.724,322.784,386.325,138.772
"LevelDB - Benchmark: Random Read (us/Op)",LIB,27.634,30.264,26.787,25.906,27.547,27.363
"LevelDB - Benchmark: Seek Random (us/Op)",LIB,33.867,35.246,32.518,31.094,32.670,32.945
"LevelDB - Benchmark: Random Delete (us/Op)",LIB,131.554,336.042,253.753,312.388,378.604,137.592
"LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,30.3,11.5,14.8,12.2,10.2,28.8
"LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,131.178,345.671,268.709,325.294,390.372,137.901
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,66.242,69.933,66.925,66.067,70.989,69.065
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,38.922,41.141,39.302,39.354,41.481,40.856
"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
"MariaDB - Clients: 1 (Queries/sec)",HIB,1313,1071,380,1085,1066,1389
"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: 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
"miniFE - Problem Size: Small (CG Mflops)",HIB,7765.91,7760.97,,7808.87,7765.99,7758.83
"Nebular Empirical Analysis Tool - (sec)",LIB,14.629,17.155,17.449,17.943,19.254,16.062
"oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.21742,2.93578,2.19197,2.23689,2.37473,2.47983
"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 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.518726,0.548618,0.515937,0.518696,0.536834,0.547034
"oneDNN - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.01474,7.62505,7.03391,7.31372,7.44976,7.48011
"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 All - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,63.8638,64.3403,63.6007,64.1600,64.3778,64.3003
"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
"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
"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
"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: 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_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.612105,0.725056,0.608649,0.604215,0.735719,0.711157
"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
"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
"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: 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_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,10.8150,10.9467,10.7622,10.8075,10.9177,10.8318
"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: 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: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.69965,1.71808,1.69440,1.69053,1.72229,1.70760
"OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,5218.7,5205.9,5205.1,5208.9,5199.0,5198.7
"OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,279.78,263.28,267.86,266.72,262.14,278.47
"OpenVKL - Benchmark: vklBenchmarkVdbVolume (Items / Sec)",HIB,24034590.545454,25869687.598485,23890022.681818,24329881.901515,23830007.946970,24490155.939394
"OpenVKL - Benchmark: vklBenchmarkStructuredVolume (Items / Sec)",HIB,77242408.522523,82733212.072072,74181298.963964,74565112.144144,73076122.819820,77849499.945946
"OpenVKL - Benchmark: vklBenchmarkUnstructuredVolume (Items / Sec)",HIB,2117049.2113564,2106536.2344900,2073235.8948475,2076367.0283912,2068555.8506835,2064472.3785489
"PyPerformance - Benchmark: go (Milliseconds)",LIB,199,203,248,200,201,205
"PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,256,280,318,282,285,269
"PyPerformance - Benchmark: chaos (Milliseconds)",LIB,86.4,88.3,118,87.3,88.1,86.7
"PyPerformance - Benchmark: float (Milliseconds)",LIB,91.3,94.7,113,92.2,90.9,93.2
"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
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,379,399,532,384,379,380
"PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,22.1,22.8,25.3,20.0,20.2,20.6
"PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,88.2,90.2,111,86.0,87.9,87.4
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,135,138,166,136,137,137
"PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.91,12.8,13.6,12.4,15.0,7.25
"PyPerformance - Benchmark: django_template (Milliseconds)",LIB,38.5,38.8,50.2,37.8,38.3,38.8
"PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,346,359,445,352,347,351
"RawTherapee - Total Benchmark Time (sec)",LIB,52.924,50.223,54.242,55.375,49.574,46.385
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,123.805,126.584,125.267,124.325,123.763,123.963
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,92.369,94.162,92.753,91.810,95.012,98.104
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,58.761,59.855,60.074,60.936,58.992,58.500
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,10.927,11.170,11.669,11.798,11.815,11.241
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,14.381,14.217,14.368,14.509,14.645,15.177
"Selenium - Benchmark: ARES-6 - Browser: Firefox (ms)",LIB,37.12,43.06,43.53,54.37,42.70,38.16
"Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,794.2,926.1,920.4,908.8,900.7,808.2
"Selenium - Benchmark: Octane - Browser: Firefox (Geometric Mean)",HIB,37377,35017,34096,34759,35059,36995
"Selenium - Benchmark: WebXPRT - Browser: Firefox (Score)",HIB,262,242,231,238,225,252
"Selenium - Benchmark: Basemark - Browser: Firefox (Overall Score)",HIB,479.98,429.13,385.85,384.82,397.24,431.99
"Selenium - Benchmark: Jetstream - Browser: Firefox (Score)",HIB,230.88,204.94,203.04,197.19,203.16,225.63
"Selenium - Benchmark: CanvasMark - Browser: Firefox (Score)",HIB,14843,14117,13525,13304,13405,13273
"Selenium - Benchmark: MotionMark - Browser: Firefox (Score)",HIB,316.15,129.78,121.27,64.42,101.89,254.26
"Selenium - Benchmark: StyleBench - Browser: Firefox (Runs / Minute)",HIB,106,81.9,78.2,77.0,77.6,97.0
"Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,107.288,90.376,89.460,86.697,89.674,106.867
"Selenium - Benchmark: Maze Solver - Browser: Firefox (sec)",LIB,4.1,5.3,5.4,5.0,5.1,4.1
"Selenium - Benchmark: Speedometer - Browser: Firefox (Runs/min)",HIB,111.2,92.1,84.54,81.7,86.1,96.42
"Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,1253,1468,1399,1396,1440,1317
"Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,32.0,30.8,31.8,29.2,29.3,29.0
"Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,461.3,464.9,468.8,475.7,466.6,465.3
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,524.27,436.88,374.82,449.73,402.84,419.65
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,558.37,553.06,557.94,557.27,527.32,528.70
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1171.61,1063.36,1328.55,1220.02,1285.01,1282.73
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,163109.71,163268.14,161809.73,162671.75,162931.65,165966.32
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,4809.12,3695.00,3698.33,3751.95,3712.14,3727.67
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,188361441.20,188325102.59,189068262.91,188394196.76,187321493.89,187599255.48
"Stress-NG - Test: RdRand (Bogo Ops/s)",HIB,183992.91,184077.01,184108.05,184114.11,184120.79,184126.74
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,306077.08,300585.84,302561.01,313360.83,299248.56,299438.17
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,9336.49,9173.56,9348.10,6841.28,6720.17,9217.81
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,2934448.46,2502170.84,2584871.30,2533417.38,3128397.74,3585295.04
"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: Memory Copying (Bogo Ops/s)",HIB,2628.89,2602.15,2601.36,2630.26,2592.11,2597.13
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,14126.38,6655.08,13971.84,14133.04,12366.41,12410.69
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,2589257.58,1122888.63,2234902.15,2195222.33,2245690.26,2239340.32
"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: System V Message Passing (Bogo Ops/s)",HIB,10525250.86,8502197.06,8614325.83,10573952.05,8679774.77,8559740.86
"SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.144,0.141,0.142,0.140,0.129,0.131
"SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,6.145,5.906,6.008,5.861,5.548,5.655
"SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,50.812,46.966,46.992,46.178,44.516,46.241
"SVT-HEVC - 1080p 8-bit YUV To HEVC Video Encode (FPS)",HIB,95.29,90.68,91.19,90.43,91.0,91.17
"Timed Apache Compilation - Time To Compile (sec)",LIB,20.958,27.610,24.055,20.016,23.296,20.098
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,32.140,33.992,31.272,29.826,35.747,32.808
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,42.873,53.123,45.161,42.057,48.911,48.162
"WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,176.854,275.621,215.949,,257.843,222.630
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,4801.6,4816.4,4785.7,4864.1,4776.2,4750.0
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,62.2,60.3,60.3,62.5,60.3,60.1