Core i9 9900KS Linux Intel Core i9-9900KS testing with a ASUS PRIME Z390-A (1502 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. Core i9 9900KS: Processor: Intel Core i9-9900KS @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (1502 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 240GB Force MP510, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.7.0-rc6-amd-energy (x86_64) 20200527, Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better Core i9 9900KS . 3547.8 |====================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better Core i9 9900KS . 32.1 |======================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 3.55995 |===================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 57.57 |======================================================= oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 1.69809 |===================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 23.68 |======================================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 14.37 |======================================================= oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 4.20825 |===================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 6.58920 |===================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 14.12 |======================================================= oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 4.70415 |===================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 3.09907 |===================================================== oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 264.24 |====================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 117.20 |====================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 3.16545 |===================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Core i9 9900KS . 3.05508 |===================================================== dav1d 0.7.0 Video Input: Chimera 1080p FPS > Higher Is Better Core i9 9900KS . 704.57 |====================================================== dav1d 0.7.0 Video Input: Summer Nature 4K FPS > Higher Is Better Core i9 9900KS . 178.26 |====================================================== dav1d 0.7.0 Video Input: Summer Nature 1080p FPS > Higher Is Better Core i9 9900KS . 617.64 |====================================================== dav1d 0.7.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better Core i9 9900KS . 125.46 |====================================================== AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better Core i9 9900KS . 0.34 |======================================================== AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better Core i9 9900KS . 2.85 |======================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better Core i9 9900KS . 25.29 |======================================================= AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better Core i9 9900KS . 4.48 |======================================================== AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better Core i9 9900KS . 49.51 |======================================================= libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better Core i9 9900KS . 90.23 |======================================================= libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better Core i9 9900KS . 53.84 |======================================================= libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better Core i9 9900KS . 4.850 |======================================================= libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better Core i9 9900KS . 4.523 |======================================================= GNU Octave Benchmark 5.2.0 Seconds < Lower Is Better Core i9 9900KS . 6.086 |======================================================= BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better Core i9 9900KS . 115097 |======================================================