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"
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,,1181,,1183
"AI Benchmark Alpha - Device Training Score (Score)",HIB,,1139,,1143
"AI Benchmark Alpha - Device AI Score (Score)",HIB,,2320,,2326
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.33,,,0.33
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,,75.749,,73.534
"dcraw - RAW To PPM Image Conversion (sec)",LIB,,33.290,,33.278
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,,24.995,,24.995
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,754,744,762,781
"GPAW - Input: Carbon Nanotube (sec)",LIB,,343.004,,343.647
"Incompact3D - Input: Cylinder (sec)",LIB,367.892863,367.039266,365.954091,365.685353
"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
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,6.134,6.149,6.132,6.143
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,6.850,6.856,6.831,6.849
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,,860,,859
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,,786,,784
"LeelaChessZero - Backend: OpenCL (Nodes/s)",HIB,,327,,321
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,38.82,39.20,39.21,38.99
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,,5.795,,5.817
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,,34.634,,34.813
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,,2.966,,2.967
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,6.350,,6.320
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,,37.704,,37.875
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,192,191,191,191
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,,15.50,,15.45
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,,17.78,,17.79
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,4.99,,4.98
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,3.98,,3.98
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,,2.90,,2.87
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,,3.78,,3.76
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,,6.22,,6.28
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,,1.54,,1.60
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,,15.34,,15.33
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,,66.00,,66.07
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,,14.80,,14.66
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,,15.80,,15.73
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,,27.34,,27.01
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,,26.41,,26.44
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,,39.52,,39.57
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,,34.76,,34.51
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,11.30,,11.29
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,12.64,,12.64
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,,7.95,,7.95
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,,11.78,,11.77
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,,23.60,,23.58
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,,1.98,,1.94
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,,32.35,,32.34
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,,185.11,,184.87
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,,28.50,,28.51
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,,46.77,,46.02
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,,68.69,,68.71
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,,70.98,,70.65
"OpenCV - Test: Features 2D (ms)",LIB,,109975,,110406
"OpenCV - Test: Object Detection (ms)",LIB,,37985,,37334
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,,24960,,17734
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,253.485,253.416,253.359,253.444
"System GZIP Decompression - (sec)",LIB,,2.566,,2.568
"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: Default (Encode Time - sec)",LIB,1.366,1.356,1.350,1.364
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.113,2.110,2.109,2.111
"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
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,33.012,33.040,32.939,32.650