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: Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASRock Z390M Pro4 (P4.20 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 240GB Corsair Force MP510, Graphics: Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASRock Z390M Pro4 (P4.20 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 240GB Corsair Force MP510, Graphics: Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASRock Z390M Pro4 (P4.20 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 240GB Corsair Force MP510, Graphics: Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3a: Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASRock Z390M Pro4 (P4.20 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 240GB Corsair Force MP510, Graphics: Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 .. 253.49 |================================================================== 2 .. 253.42 |================================================================== 3 .. 253.36 |================================================================== 3a . 253.44 |================================================================== GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better 1 .. 754 |=================================================================== 2 .. 744 |================================================================== 3 .. 762 |=================================================================== 3a . 781 |===================================================================== Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better 1 .. 367.89 |================================================================== 2 .. 367.04 |================================================================== 3 .. 365.95 |================================================================== 3a . 365.69 |================================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better 1 .. 192 |===================================================================== 2 .. 191 |===================================================================== 3 .. 191 |===================================================================== 3a . 191 |===================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms ns/day > Higher Is Better 1 .. 6.134 |=================================================================== 2 .. 6.149 |=================================================================== 3 .. 6.132 |=================================================================== 3a . 6.143 |=================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 .. 6.850 |=================================================================== 2 .. 6.856 |=================================================================== 3 .. 6.831 |=================================================================== 3a . 6.849 |=================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 .. 1.366 |=================================================================== 2 .. 1.356 |=================================================================== 3 .. 1.350 |================================================================== 3a . 1.364 |=================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 .. 2.113 |=================================================================== 2 .. 2.110 |=================================================================== 3 .. 2.109 |=================================================================== 3a . 2.111 |=================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 .. 15.54 |=================================================================== 2 .. 15.56 |=================================================================== 3 .. 15.26 |================================================================== 3a . 15.42 |================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 .. 6.322 |=================================================================== 2 .. 6.325 |=================================================================== 3 .. 6.346 |=================================================================== 3a . 6.326 |=================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 .. 33.01 |=================================================================== 2 .. 33.04 |=================================================================== 3 .. 32.94 |=================================================================== 3a . 32.65 |================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 .. 38.82 |================================================================== 2 .. 39.20 |=================================================================== 3 .. 39.21 |=================================================================== 3a . 38.99 |=================================================================== AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better 1 .. 0.33 |==================================================================== 3a . 0.33 |==================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 2 .. 860 |===================================================================== 3a . 859 |===================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 2 .. 786 |===================================================================== 3a . 784 |===================================================================== LeelaChessZero 0.26 Backend: OpenCL Nodes Per Second > Higher Is Better 2 .. 327 |===================================================================== 3a . 321 |==================================================================== dcraw RAW To PPM Image Conversion Seconds < Lower Is Better 2 .. 33.29 |=================================================================== 3a . 33.28 |=================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 2 .. 25.00 |=================================================================== 3a . 25.00 |=================================================================== System GZIP Decompression Seconds < Lower Is Better 2 .. 2.566 |=================================================================== 3a . 2.568 |=================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 2 .. 75.75 |=================================================================== 3a . 73.53 |================================================================= GPAW 20.1 Input: Carbon Nanotube Seconds < Lower Is Better 2 .. 343.00 |================================================================== 3a . 343.65 |================================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better 2 .. 5.795 |=================================================================== 3a . 5.817 |=================================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better 2 .. 34.63 |=================================================================== 3a . 34.81 |=================================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better 2 .. 2.966 |=================================================================== 3a . 2.967 |=================================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better 2 .. 6.350 |=================================================================== 3a . 6.320 |=================================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better 2 .. 37.70 |=================================================================== 3a . 37.88 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 2 .. 15.50 |=================================================================== 3a . 15.45 |=================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 2 .. 17.78 |=================================================================== 3a . 17.79 |=================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 2 .. 4.99 |==================================================================== 3a . 4.98 |==================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 2 .. 3.98 |==================================================================== 3a . 3.98 |==================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 2 .. 2.90 |==================================================================== 3a . 2.87 |=================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 2 .. 3.78 |==================================================================== 3a . 3.76 |==================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 2 .. 6.22 |=================================================================== 3a . 6.28 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 2 .. 1.54 |================================================================= 3a . 1.60 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 2 .. 15.34 |=================================================================== 3a . 15.33 |=================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 2 .. 66.00 |=================================================================== 3a . 66.07 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 2 .. 14.80 |=================================================================== 3a . 14.66 |================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 2 .. 15.80 |=================================================================== 3a . 15.73 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 2 .. 27.34 |=================================================================== 3a . 27.01 |================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 2 .. 26.41 |=================================================================== 3a . 26.44 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 2 .. 39.52 |=================================================================== 3a . 39.57 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 2 .. 34.76 |=================================================================== 3a . 34.51 |=================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 2 .. 11.30 |=================================================================== 3a . 11.29 |=================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 2 .. 12.64 |=================================================================== 3a . 12.64 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 2 .. 7.95 |==================================================================== 3a . 7.95 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 2 .. 11.78 |=================================================================== 3a . 11.77 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 2 .. 23.60 |=================================================================== 3a . 23.58 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 2 .. 1.98 |==================================================================== 3a . 1.94 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 2 .. 32.35 |=================================================================== 3a . 32.34 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 2 .. 185.11 |================================================================== 3a . 184.87 |================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 2 .. 28.50 |=================================================================== 3a . 28.51 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 2 .. 46.77 |=================================================================== 3a . 46.02 |================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 2 .. 68.69 |=================================================================== 3a . 68.71 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 2 .. 70.98 |=================================================================== 3a . 70.65 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 2 .. 285.03 |================================================================= 3a . 288.32 |================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 2 .. 268.09 |================================================================== 3a . 268.22 |================================================================== AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better 2 .. 1181 |==================================================================== 3a . 1183 |==================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better 2 .. 1139 |==================================================================== 3a . 1143 |==================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better 2 .. 2320 |==================================================================== 3a . 2326 |==================================================================== OpenCV 4.4 Test: Features 2D ms < Lower Is Better 2 .. 109975 |================================================================== 3a . 110406 |================================================================== OpenCV 4.4 Test: Object Detection ms < Lower Is Better 2 .. 37985 |=================================================================== 3a . 37334 |================================================================== OpenCV 4.4 Test: DNN - Deep Neural Network ms < Lower Is Better 2 .. 24960 |=================================================================== 3a . 17734 |================================================ InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 2 .. 1623050.5 |=============================================================== 3a . 1623988.5 |=============================================================== InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 2 .. 1631004.7 |=============================================================== 3a . 1633876.8 |=============================================================== InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 2 .. 1635245.9 |=============================================================== 3a . 1635905.7 |===============================================================