Intel Core i9-10900K testing on Fedora 32 and Fedora 33 Beta by Michael Larabel.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2009290-FI-FEDORA85348
Fedora 32 vs. Fedora 33 Beta Benchmarks
Intel Core i9-10900K testing on Fedora 32 and Fedora 33 Beta by Michael Larabel.
,,"F32 Workstation","F32 Workstation Updated","F33 Workstation Beta"
Processor,,Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads),Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads),Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)
Motherboard,,Gigabyte Z490 AORUS MASTER (F3 BIOS),Gigabyte Z490 AORUS MASTER (F3 BIOS),Gigabyte Z490 AORUS MASTER (F3 BIOS)
Chipset,,Intel Comet Lake PCH,Intel Comet Lake PCH,Intel Comet Lake PCH
Memory,,16GB,16GB,16GB
Disk,,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB
Graphics,,Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz),Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz),Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz)
Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220
Monitor,,DELL P2415Q,DELL P2415Q,DELL P2415Q
Network,,Intel Device 15f3 + Intel Wi-Fi 6 AX201,Intel + Intel-AC 9462/9560,Intel + Intel-AC 9462/9560
OS,,Fedora 32,Fedora 32,Fedora 33
Kernel,,5.6.6-300.fc32.x86_64 (x86_64),5.8.11-200.fc32.x86_64 (x86_64),5.8.11-300.fc33.x86_64 (x86_64)
Desktop,,GNOME Shell 3.36.1,GNOME Shell 3.36.6,GNOME Shell 3.38.0
Display Server,,X Server + Wayland,X Server 1.20.8 + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 20.0.4 (LLVM 10.0.0),4.6 Mesa 20.1.8 (LLVM 10.0.1),4.6 Mesa 20.2.0-rc4 (LLVM 11.0.0)
Compiler,,GCC 10.0.1 20200328 + Clang 10.0.1,GCC 10.2.1 20200723 + Clang 10.0.1,GCC 10.2.1 20200826 + Clang 11.0.0
File-System,,ext4,ext4,btrfs
Screen Resolution,,3840x2160,3840x2160,3840x2160
Display Driver,,,modesetting 1.20.8,
,,"F32 Workstation","F32 Workstation Updated","F33 Workstation Beta"
"SQLite - Threads / Copies: 1 (sec)",LIB,43.336,43.763,144.406
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,25.195,25.164,15.452
"LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,40.669,42.618,61.823
"LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,54.4,51.9,35.8
"LevelDB - Benchmark: Random Delete (us/Op)",LIB,40.695,42.763,61.265
"LevelDB - Benchmark: Random Fill (MB/s)",HIB,52.8,51.0,36.8
"LevelDB - Benchmark: Random Fill (us/Op)",LIB,41.834,43.297,59.910
"Systemd Total Boot Time - Test: Userspace (ms)",LIB,8010,8503,11379
"LevelDB - Benchmark: Overwrite (MB/s)",HIB,52.5,51.2,37.1
"LevelDB - Benchmark: Overwrite (us/Op)",LIB,42.022,43.160,59.440
"G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,16.674,16.422,11.927
"Renaissance - Test: Scala Dotty (ms)",LIB,1013.036,1007.091,1364.500
"Systemd Total Boot Time - Test: Total (ms)",LIB,11811,12286,15157
"Renaissance - Test: Savina Reactors.IO (ms)",LIB,14395.210,11682.146,13907.628
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,43.676,44.917,52.425
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,45.92,38.44,42.23
"Renaissance - Test: Twitter HTTP Requests (ms)",LIB,1881.030,1918.092,2229.405
"glibc bench - Benchmark: exp (nanoseconds)",LIB,4.92230,4.45337,4.22917
"Systemd Total Boot Time - Test: Firmware (ms)",LIB,8135,8102,9383
"glibc bench - Benchmark: ffs (nanoseconds)",LIB,1.30988,1.30415,1.50054
"glibc bench - Benchmark: modf (nanoseconds)",LIB,1.51705,1.73393,1.53834
"PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,22.3,23.3,20.5
"glibc bench - Benchmark: sqrt (nanoseconds)",LIB,1.70406,1.50804,1.50804
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,467186547.11969,451902708.20977,497803514.87929
"PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.9,15.6,14.5
"DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,2305,2294,2492
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,44.026,44.156,40.857
"Renaissance - Test: Apache Spark ALS (ms)",LIB,1647.289,1642.112,1772.408
"Renaissance - Test: Random Forest (ms)",LIB,1508.219,1512.189,1622.644
"DaCapo Benchmark - Java Test: Jython (msec)",LIB,3317,3313,3557
"Bork File Encrypter - File Encryption Time (sec)",LIB,7.155,7.121,7.605
"PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,100,101,95.8
"LibreOffice - Test: 20 Documents To PDF (sec)",LIB,6.688,6.578,6.932
"Systemd Total Boot Time - Test: Loader (ms)",LIB,1872,1777,1780
"Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,1244.368,1284.896,1310.733
"GIMP - Test: auto-levels (sec)",LIB,9.507,9.341,9.827
"GIMP - Test: unsharp-mask (sec)",LIB,11.623,11.589,12.153
"GIMP - Test: resize (sec)",LIB,6.101,5.957,6.237
"TSCP - AI Chess Performance (Nodes/s)",HIB,1627597,1672068,1700991
"Perl Benchmarks - Test: Pod2html (sec)",LIB,0.09959376,0.09762625,0.10192816
"Perl Benchmarks - Test: Interpreter (sec)",LIB,0.00081210,0.00079401,0.00082846
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,4.214,4.395,4.278
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,15.594,15.833,16.234
"G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,92.923,93.128,89.699
"PHPBench - PHP Benchmark Suite (Score)",HIB,848415,853865,879324
"GIMP - Test: rotate (sec)",LIB,9.534,9.378,9.716
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,61.676,62.741,60.680
"PyPerformance - Benchmark: go (Milliseconds)",LIB,215,218,211
"DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,2999,2930,3027
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.31,1.33,1.35
"PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,264,265,272
"PyPerformance - Benchmark: nbody (Milliseconds)",LIB,108,108,111
"Crafty - Elapsed Time (Nodes/s)",HIB,10356565,10452567,10625150
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,5.133,5.209,5.265
"ASTC Encoder - Preset: Fast (sec)",LIB,4.52,4.63,4.59
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,82.345,84.329,83.266
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,52011851.2,51604321.4,50797941.3
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,3.87,3.84,3.93
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,13.74,13.43,13.46
"Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,9211.347,9004.041,9163.817
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,1456,1424,
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,4.965,5.041,5.074
"glibc bench - Benchmark: sinh (nanoseconds)",LIB,6.79088,6.80360,6.93852
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,24.906,25.425,25.201
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,15.50,15.48,15.19
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,70.12,70.41,69.03
"Cryptsetup - PBKDF2-sha512 (Iterations/sec)",HIB,,2077772,2042682
"Timed MPlayer Compilation - Time To Compile (sec)",LIB,27.725,27.505,27.198
"PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,371,378,374
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,5.85,5.88,5.96
"AI Benchmark Alpha - Device AI Score (Score)",HIB,2616,2569,
"PyPerformance - Benchmark: float (Milliseconds)",LIB,95.9,96.4,94.7
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,25.50,25.06,25.23
"Basemark GPU - Renderer: Vulkan - Resolution: 3840 x 2160 - Graphics Preset: Medium (FPS)",HIB,221.19,219.01,222.83
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,217352,217359,213793
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,778.80,783.94,791.70
"LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,2.50,2.48,2.46
"LevelDB - Benchmark: Hot Read (us/Op)",LIB,8.800,8.758,8.660
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,726.16,736.88,737.41
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,14.791,14.858,15.007
"Git - Time To Complete Common Git Commands (sec)",LIB,40.811,40.445,40.226
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.614,8.561,8.491
"PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.94,7.01,6.91
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,30.507,30.927,30.889
"PyPerformance - Benchmark: django_template (Milliseconds)",LIB,44.4,44.6,45.0
"OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,192.61,191.42,193.94
"AI Benchmark Alpha - Device Training Score (Score)",HIB,1160,1145,
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,2894.8,2900.5,2863.3
"Stockfish - Total Time (Nodes/s)",HIB,37073146,37544563,37081066
"PyPerformance - Benchmark: chaos (Milliseconds)",LIB,94.8,96.0,96.0
"PyBench - Total For Average Test Times (Milliseconds)",LIB,893,897,886
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,1.962,1.944,1.938
"SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.167,0.165,0.166
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,5.952,5.881,5.881
"ASTC Encoder - Preset: Medium (sec)",LIB,6.67,6.75,6.71
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,270.610,273.816,273.585
"Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,38.682,38.364,38.801
"Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.176,0.178,0.178
"glibc bench - Benchmark: sincos (nanoseconds)",LIB,12.4080,12.2755,12.2935
"G'MIC - Test: 3D Elevated Function In Random Colors, 100 Times (sec)",LIB,55.394,55.789,55.981
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,84.743,85.327,84.446
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.263,1.250,1.250
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,13.86,13.72,13.83
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,20.052,20.250,20.168
"High Performance Conjugate Gradient - (GFLOP/s)",HIB,4.35057,4.34479,4.38740
"Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,76.078,76.198,75.465
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,423,427,425
"LevelDB - Benchmark: Seek Random (us/Op)",LIB,10.720,10.687,10.625
"LevelDB - Benchmark: Random Read (us/Op)",LIB,8.874,8.796,8.800
"SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,4.554,4.541,4.516
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,241304,241538,243255
"glibc bench - Benchmark: ffsll (nanoseconds)",LIB,1.31800,1.30750,1.30833
"Timed Apache Compilation - Time To Compile (sec)",LIB,17.365,17.445,17.503
"Unigine Superposition - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL (FPS)",HIB,131.6,132.3,132.6
"Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,3.601,3.627,3.628
"glibc bench - Benchmark: asinh (nanoseconds)",LIB,7.70467,7.66474,7.64781
"Cryptsetup - PBKDF2-whirlpool (Iterations/sec)",HIB,880663,880666,874299
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,150,150,149
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,173.767,173.846,172.716
"Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,11.03,11.10,11.09
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,29.432,29.551,29.365
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,482825,483369,485875
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,18.213,18.100,18.100
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,16.48,16.38,16.41
"Systemd Total Boot Time - Test: Kernel (ms)",LIB,3801,3783,3778
"RawTherapee - Total Benchmark Time (sec)",LIB,55.185,55.180,55.511
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.02,5.05,5.02
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.886,2.890,2.873
"ASTC Encoder - Preset: Thorough (sec)",LIB,20.94,21.06,21.03
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,24.81,24.67,24.78
"System GZIP Decompression - (sec)",LIB,2.481,2.467,2.469
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.21105,1.21355,1.20679
"DeepSpeech - Acceleration: CPU (sec)",LIB,79.98752,79.89383,79.54269
"Timed PHP Compilation - Time To Compile (sec)",LIB,46.886,46.837,46.630
"Unigine Heaven - Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL (FPS)",HIB,89.5656,90.0343,89.6852
"glibc bench - Benchmark: log2 (nanoseconds)",LIB,5.98713,5.95714,5.97794
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,43.623,43.588,43.411
"LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,2.17,2.17,2.18
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,133.76,133.15,133.16
"SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,42.034,41.847,41.852
"Unigine Superposition - Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL (FPS)",HIB,45.1,45.2,45.3
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,148849,148954,148309
"GROMACS - Water Benchmark (Ns/Day)",HIB,0.963,0.963,0.959
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,73.054,73.353,73.090
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,160.54,161.16,161.08
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,168.75,168.89,169.39
"x265 - H.265 1080p Video Encoding (FPS)",HIB,72.76,72.78,73.03
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,14.18,14.16,14.13
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,8.452,8.424,8.430
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,30.3,30.2,30.2
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,17.355,17.352,17.301
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,114.03,114.33,114.04
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,118059,117787,118095
"glibc bench - Benchmark: pthread_once (nanoseconds)",LIB,1.31984,1.31641,1.31843
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.02,4.03,4.02
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,20.3281,20.3780,20.3689
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,108663,108780,108919
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,260.729,260.930,260.320
"Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,14.166,14.149,14.179
"glibc bench - Benchmark: cos (nanoseconds)",LIB,38.7503,38.8184,38.7425
"Incompact3D - Input: Cylinder (sec)",LIB,238.622574,239.086675,238.749863
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,17.6651,17.6727,17.6965
"Basemark GPU - Renderer: Vulkan - Resolution: 3840 x 2160 - Graphics Preset: High (FPS)",HIB,45.45,45.37,45.41
"glibc bench - Benchmark: sin (nanoseconds)",LIB,38.3947,38.3284,38.3296
"Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,4.074,4.073,4.067
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,114879,114742,114727
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,185.43,185.52,185.58
"glibc bench - Benchmark: tanh (nanoseconds)",LIB,10.4057,10.4052,10.3980
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,167977,167905,167925
"glibc bench - Benchmark: atanh (nanoseconds)",LIB,9.40863,9.40694,9.41062
"TensorFlow Lite - Model: Inception V4 (us)",LIB,2378650,2377947,2378677
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,2144707,2144570,2145147
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,3.23,3.20,3.20
"Renaissance - Test: Apache Spark PageRank (ms)",LIB,3732.068,3559.826,3086.498