Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2009261-FI-9900KWIES08
9900k-wiesn
Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"1","2","3","3a"
Processor,,Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads),Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads),Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads),Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)
Motherboard,,ASRock Z390M Pro4 (P4.20 BIOS),ASRock Z390M Pro4 (P4.20 BIOS),ASRock Z390M Pro4 (P4.20 BIOS),ASRock Z390M Pro4 (P4.20 BIOS)
Chipset,,Intel Cannon Lake PCH,Intel Cannon Lake PCH,Intel Cannon Lake PCH,Intel Cannon Lake PCH
Memory,,16GB,16GB,16GB,16GB
Disk,,240GB Corsair Force MP510,240GB Corsair Force MP510,240GB Corsair Force MP510,240GB Corsair Force MP510
Graphics,,Intel UHD 630 3GB (1200MHz),Intel UHD 630 3GB (1200MHz),Intel UHD 630 3GB (1200MHz),Intel UHD 630 3GB (1200MHz)
Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892,Realtek ALC892
Monitor,,G237HL,G237HL,G237HL,G237HL
Network,,Intel I219-V,Intel I219-V,Intel I219-V,Intel I219-V
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4
Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8
Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8
OpenGL,,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4
OpenCL,,OpenCL 2.1,OpenCL 2.1,OpenCL 2.1,OpenCL 2.1
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080
,,"1","2","3","3a"
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,6.134,6.149,6.132,6.143
"AI Benchmark Alpha - Device AI Score (Score)",HIB,,2320,,2326
"AI Benchmark Alpha - Device Training Score (Score)",HIB,,1139,,1143
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,,1181,,1183
"LeelaChessZero - Backend: OpenCL (Nodes/s)",HIB,,327,,321
"Incompact3D - Input: Cylinder (sec)",LIB,367.892863,367.039266,365.954091,365.685353
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,,786,,784
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,,860,,859
"GPAW - Input: Carbon Nanotube (sec)",LIB,,343.004,,343.647
"OpenCV - Test: Features 2D (ms)",LIB,,109975,,110406
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,253.485,253.416,253.359,253.444
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,192,191,191,191
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,,70.98,,70.65
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,,68.69,,68.71
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,,46.77,,46.02
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,,28.50,,28.51
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,,185.11,,184.87
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,,32.35,,32.34
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,,1.98,,1.94
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,,23.60,,23.58
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,,11.78,,11.77
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,,7.95,,7.95
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,12.64,,12.64
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,11.30,,11.29
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,,34.76,,34.51
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,,39.52,,39.57
"OpenCV - Test: Object Detection (ms)",LIB,,37985,,37334
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,,75.749,,73.534
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,754,744,762,781
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,,37.704,,37.875
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,6.350,,6.320
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,,2.966,,2.967
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,,34.634,,34.813
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,,5.795,,5.817
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,,24960,,17734
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,,1623050.5,,1623988.5
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,,1631004.7,,1633876.8
"InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,,1635245.9,,1635905.7
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,,26.41,,26.44
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,,27.34,,27.01
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,,15.80,,15.73
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,,14.80,,14.66
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,66.00,,66.07
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,,15.34,,15.33
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,,1.54,,1.60
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,,6.22,,6.28
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,3.78,,3.76
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,2.90,,2.87
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,3.98,,3.98
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,4.99,,4.98
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,,17.78,,17.79
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,,15.50,,15.45
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,,24.995,,24.995
"dcraw - RAW To PPM Image Conversion (sec)",LIB,,33.290,,33.278
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,33.012,33.040,32.939,32.650
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,38.82,39.20,39.21,38.99
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.33,,,0.33
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,,285.030,,288.317
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,,268.092,,268.222
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.537,15.555,15.256,15.423
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.322,6.325,6.346,6.326
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,6.850,6.856,6.831,6.849
"System GZIP Decompression - (sec)",LIB,,2.566,,2.568
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.113,2.110,2.109,2.111
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.366,1.356,1.350,1.364