Core i9 9900KS December 2020 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. 1: 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 Corsair Force MP510, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201005-generic (x86_64) 20201004, 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: 1920x1080 2: 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 Corsair Force MP510, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201005-generic (x86_64) 20201004, 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: 1920x1080 3: 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 Corsair Force MP510, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201005-generic (x86_64) 20201004, 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: 1920x1080 VkFFT 1.1.1 Benchmark Score > Higher Is Better 1 . 1515 |===================================================================== 2 . 1514 |===================================================================== 3 . 1515 |===================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest Seconds < Lower Is Better 1 . 13.66 |==================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC2 RGB - Quality: Highest Seconds < Lower Is Better 1 . 5.446 |==================================================================== VkResample 1.0 Upscale: 2x - Precision: Double ms < Lower Is Better 1 . 889.16 |=================================================================== 2 . 887.05 |=================================================================== 3 . 887.34 |=================================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better 1 . 376.21 |=================================================================== 2 . 374.16 |=================================================================== 3 . 374.47 |=================================================================== yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 439.9 |==================================================================== 2 . 437.9 |==================================================================== 3 . 438.1 |==================================================================== yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 448.1 |==================================================================== 2 . 447.0 |==================================================================== 3 . 444.1 |=================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 132.2 |==================================================================== 2 . 131.6 |==================================================================== 3 . 132.5 |==================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 5.2 |====================================================================== 2 . 5.0 |=================================================================== 3 . 5.0 |=================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 97.03 |==================================================================== 2 . 97.16 |==================================================================== 3 . 97.02 |==================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 8.536 |==================================================================== 2 . 8.457 |=================================================================== 3 . 8.499 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 9275.52 |================================================================== 2 . 9243.70 |================================================================== 3 . 9259.25 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 11356.1 |================================================================== 2 . 11232.3 |================================================================= 3 . 11245.1 |================================================================= LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 56.05 |==================================================================== 2 . 56.13 |==================================================================== 3 . 56.06 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 10989.2 |================================================================== 2 . 10919.5 |================================================================== 3 . 10942.8 |================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 54.68 |==================================================================== 2 . 54.77 |==================================================================== 3 . 54.67 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 10988.9 |================================================================== 2 . 10931.0 |================================================================== 3 . 10950.7 |================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 9788643 |================================================================== 2 . 9598104 |================================================================ 3 . 9833332 |================================================================== GraphicsMagick 1.3.33 Operation: Swirl Iterations Per Minute > Higher Is Better 1 . 376 |====================================================================== 2 . 378 |====================================================================== 3 . 377 |====================================================================== GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better 1 . 945 |==================================================================== 2 . 970 |====================================================================== 3 . 962 |===================================================================== GraphicsMagick 1.3.33 Operation: Sharpen Iterations Per Minute > Higher Is Better 1 . 78 |======================================================================= 2 . 78 |======================================================================= 3 . 78 |======================================================================= GraphicsMagick 1.3.33 Operation: Enhanced Iterations Per Minute > Higher Is Better 1 . 196 |====================================================================== 2 . 196 |====================================================================== 3 . 196 |====================================================================== GraphicsMagick 1.3.33 Operation: Resizing Iterations Per Minute > Higher Is Better 1 . 932 |===================================================================== 2 . 939 |====================================================================== 3 . 933 |====================================================================== GraphicsMagick 1.3.33 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better 1 . 242 |===================================================================== 2 . 244 |====================================================================== 3 . 242 |===================================================================== GraphicsMagick 1.3.33 Operation: HWB Color Space Iterations Per Minute > Higher Is Better 1 . 1152 |=================================================================== 2 . 1178 |===================================================================== 3 . 1166 |==================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.52044 |================================================================= 2 . 3.51168 |================================================================= 3 . 3.57341 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.06328 |================================================================== 2 . 7.46019 |============================================================= 3 . 7.40170 |============================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.68443 |================================================================== 2 . 1.68299 |================================================================== 3 . 1.68652 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.80959 |================================================================== 2 . 1.81035 |================================================================== 3 . 1.80712 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 14.75 |==================================================================== 2 . 14.76 |==================================================================== 3 . 14.76 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.83452 |================================================================= 2 . 4.87835 |================================================================== 3 . 4.84542 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.59833 |================================================================== 2 . 6.60720 |================================================================== 3 . 6.60962 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 14.05 |==================================================================== 2 . 14.04 |==================================================================== 3 . 14.00 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.40091 |================================================================== 2 . 5.31868 |================================================================= 3 . 5.34571 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.16542 |================================================================== 2 . 3.16783 |================================================================== 3 . 3.16502 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3408.07 |================================================================== 2 . 3408.51 |================================================================== 3 . 3403.87 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1852.25 |================================================================== 2 . 1852.78 |================================================================== 3 . 1842.58 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3421.15 |================================================================== 2 . 3411.10 |================================================================== 3 . 3412.78 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1850.62 |================================================================== 2 . 1847.33 |================================================================== 3 . 1843.23 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.14049 |================================================================== 2 . 3.10347 |================================================================= 3 . 3.13970 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3418.14 |================================================================== 2 . 3414.18 |================================================================== 3 . 3410.11 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1852.83 |================================================================== 2 . 1847.71 |================================================================== 3 . 1845.48 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.95057 |================================================================== 2 . 2.94855 |================================================================== 3 . 2.94795 |================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.469 |=================================================================== 2 . 0.473 |==================================================================== 3 . 0.472 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 1.357 |==================================================================== 2 . 1.363 |==================================================================== 3 . 1.356 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 1.811 |==================================================================== 2 . 1.809 |==================================================================== 3 . 1.778 |=================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 3.957 |==================================================================== 2 . 3.978 |==================================================================== 3 . 3.978 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 381793.37 |=============================================================== 2 . 385854.63 |================================================================ 3 . 383816.22 |================================================================ Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 18980660 |================================================================= 2 . 18803532 |================================================================ 3 . 18747292 |================================================================ asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 29044179 |================================================================ 2 . 29303188 |================================================================= 3 . 29182888 |================================================================= Timed Clash Compilation Time To Compile Seconds < Lower Is Better 1 . 304.79 |=================================================================== 2 . 304.64 |=================================================================== 3 . 304.03 |=================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 58.68 |==================================================================== 2 . 58.71 |==================================================================== 3 . 58.69 |==================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 121.66 |=================================================================== 2 . 120.76 |=================================================================== 3 . 121.32 |=================================================================== Numpy Benchmark Score > Higher Is Better 1 . 444.31 |=================================================================== 2 . 437.44 |================================================================== 3 . 440.98 |================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 68.21 |==================================================================== 2 . 68.07 |==================================================================== 3 . 67.93 |==================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 9.852 |==================================================================== 2 . 9.847 |==================================================================== 3 . 9.848 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 24.72 |================================================================= 2 . 24.92 |================================================================= 3 . 26.03 |==================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 14.07 |================================================================== 2 . 14.47 |==================================================================== 3 . 14.07 |================================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.955 |==================================================================== 2 . 0.954 |==================================================================== 3 . 0.952 |==================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 5.54 |===================================================================== 2 . 5.55 |===================================================================== 3 . 5.56 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 8.64 |===================================================================== 2 . 8.64 |===================================================================== 3 . 8.65 |===================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 30.72 |==================================================================== 2 . 30.72 |==================================================================== 3 . 30.71 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 245.98 |=================================================================== 2 . 245.77 |=================================================================== 3 . 245.66 |=================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 47.29 |==================================================================== 2 . 47.29 |==================================================================== 3 . 47.03 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 7.214 |==================================================================== 2 . 7.210 |==================================================================== 3 . 7.214 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 34.05 |==================================================================== 2 . 34.03 |==================================================================== 3 . 34.06 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 64.51 |==================================================================== 2 . 64.50 |==================================================================== 3 . 64.47 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better 1 . 602.73 |=================================================================== 2 . 602.98 |=================================================================== 3 . 603.48 |=================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 48.20 |==================================================================== 2 . 48.22 |==================================================================== 3 . 48.46 |==================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 3382992.68 |=============================================================== 2 . 2128075.58 |======================================== 3 . 2968441.76 |======================================================= Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 2758297.75 |=============================================================== 2 . 2754993.83 |=============================================================== 3 . 2732946.00 |============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 2095672.13 |=============================================================== 2 . 2066450.42 |============================================================== 3 . 2105711.54 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 3220307.75 |=============================================================== 2 . 3019770.33 |=========================================================== 3 . 3077588.58 |============================================================ Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 2405648.81 |============================================================== 2 . 2461547.70 |=============================================================== 3 . 2425933.08 |============================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 16.27 |=================================================================== 2 . 16.58 |==================================================================== 3 . 16.56 |==================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 4.73 |===================================================================== 2 . 4.72 |===================================================================== 3 . 4.73 |===================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 3.68 |===================================================================== 2 . 3.69 |===================================================================== 3 . 3.69 |===================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.62 |================================================================= 2 . 4.91 |===================================================================== 3 . 4.92 |===================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 3.67 |=================================================================== 2 . 3.75 |===================================================================== 3 . 3.76 |===================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.03 |===================================================================== 2 . 6.00 |===================================================================== 3 . 5.98 |==================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.63 |==================================================================== 2 . 1.66 |===================================================================== 3 . 1.65 |===================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 12.36 |=================================================================== 2 . 12.53 |==================================================================== 3 . 12.50 |==================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 52.73 |==================================================================== 2 . 52.50 |==================================================================== 3 . 52.44 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 12.54 |==================================================================== 2 . 12.45 |==================================================================== 3 . 12.46 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 10.58 |=================================================================== 2 . 10.70 |==================================================================== 3 . 10.72 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 23.41 |==================================================================== 2 . 23.51 |==================================================================== 3 . 23.50 |==================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 23.07 |=================================================================== 2 . 23.48 |==================================================================== 3 . 23.50 |==================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 17.10 |=================================================================== 2 . 17.43 |==================================================================== 3 . 17.42 |==================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 12.58 |==================================================================== 2 . 12.57 |==================================================================== 3 . 12.53 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 16.57 |==================================================================== 2 . 16.57 |==================================================================== 3 . 16.55 |==================================================================== NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 4.75 |===================================================================== 2 . 4.72 |===================================================================== 3 . 4.74 |===================================================================== NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 3.70 |===================================================================== 2 . 3.70 |===================================================================== 3 . 3.70 |===================================================================== NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.81 |=================================================================== 2 . 4.91 |===================================================================== 3 . 4.92 |===================================================================== NCNN 20201218 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 3.73 |==================================================================== 2 . 3.80 |===================================================================== 3 . 3.78 |===================================================================== NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.05 |===================================================================== 2 . 6.02 |===================================================================== 3 . 6.00 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 1.64 |==================================================================== 2 . 1.65 |===================================================================== 3 . 1.66 |===================================================================== NCNN 20201218 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 12.46 |==================================================================== 2 . 12.53 |==================================================================== 3 . 12.55 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 52.59 |==================================================================== 2 . 52.55 |==================================================================== 3 . 52.46 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 12.49 |==================================================================== 2 . 12.46 |==================================================================== 3 . 12.46 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 10.68 |=================================================================== 2 . 10.74 |==================================================================== 3 . 10.76 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 23.48 |==================================================================== 2 . 23.47 |==================================================================== 3 . 23.50 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 23.48 |==================================================================== 2 . 23.44 |==================================================================== 3 . 23.48 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 17.40 |==================================================================== 2 . 17.45 |==================================================================== 3 . 17.44 |==================================================================== NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better 1 . 12.65 |==================================================================== 2 . 12.60 |==================================================================== 3 . 12.58 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 2.54 |===================================================================== 2 . 2.54 |===================================================================== 3 . 2.53 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 1572.47 |================================================================== 2 . 1577.71 |================================================================== 3 . 1574.46 |================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 2.53 |===================================================================== 2 . 2.52 |===================================================================== 3 . 2.53 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 1574.68 |================================================================== 2 . 1583.60 |================================================================== 3 . 1566.93 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 1.56 |===================================================================== 2 . 1.56 |===================================================================== 3 . 1.56 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 2531.91 |================================================================== 2 . 2519.62 |================================================================== 3 . 2528.13 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 1.56 |==================================================================== 2 . 1.57 |==================================================================== 3 . 1.59 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 2540.29 |================================================================== 2 . 2523.03 |================================================================== 3 . 2501.68 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 1 . 6996.22 |================================================================== 2 . 7007.96 |================================================================== 3 . 6917.95 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 1 . 0.57 |===================================================================== 2 . 0.57 |===================================================================== 3 . 0.57 |===================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better 1 . 6861.95 |================================================================== 2 . 6897.30 |================================================================== 3 . 6853.98 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better 1 . 0.57 |==================================================================== 2 . 0.57 |==================================================================== 3 . 0.58 |===================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 1.712 |==================================================================== 2 . 1.707 |==================================================================== 3 . 1.708 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 4.008 |==================================================================== 2 . 3.974 |=================================================================== 3 . 4.016 |==================================================================== AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better 1 . 1281 |==================================================================== 2 . 1294 |===================================================================== 3 . 1297 |===================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better 1 . 1277 |===================================================================== 2 . 1285 |===================================================================== 3 . 1285 |===================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better 1 . 2558 |==================================================================== 2 . 2579 |===================================================================== 3 . 2582 |===================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 839046 |=================================================================== 2 . 839430 |=================================================================== 3 . 837552 |=================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 12.97 |==================================================================== 2 . 12.96 |==================================================================== 3 . 12.97 |==================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 115531 |=================================================================== 2 . 115590 |=================================================================== 3 . 115917 |===================================================================