Core i7 3770K 2020 Intel Core i7-3770K testing with a ECS Z77H2-A2X v1.0 (4.6.5 BIOS) and ECS Intel HD 4000 2GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ECS Z77H2-A2X v1.0 (4.6.5 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 160GB INTEL SSDSA2M160, Graphics: ECS Intel HD 4000 2GB (1150MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: 2 x Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.2 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ECS Z77H2-A2X v1.0 (4.6.5 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 160GB INTEL SSDSA2M160, Graphics: ECS Intel HD 4000 2GB (1150MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: 2 x Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.2 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: ECS Z77H2-A2X v1.0 (4.6.5 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 160GB INTEL SSDSA2M160, Graphics: ECS Intel HD 4000 2GB (1150MHz), Audio: Realtek ALC892, Monitor: G237HL, Network: 2 x Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.2 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 126.9 |==================================================================== 2 . 127.0 |==================================================================== 3 . 127.2 |==================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 59.5 |===================================================================== 2 . 57.4 |=================================================================== 3 . 59.5 |===================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 193 |===================================================================== 2 . 195 |====================================================================== 3 . 188 |=================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 209 |===================================================================== 2 . 208 |==================================================================== 3 . 213 |====================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 1 |======================================================================== 2 . 1 |======================================================================== 3 . 1 |======================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 11645.91 |================================================================= 2 . 11646.29 |================================================================= 3 . 11663.71 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 146.75 |=================================================================== 2 . 146.82 |=================================================================== 3 . 146.72 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 2.452 |==================================================================== 2 . 2.462 |==================================================================== 3 . 2.468 |==================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.803 |==================================================================== 2 . 1.806 |==================================================================== 3 . 1.815 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.781 |==================================================================== 2 . 2.783 |==================================================================== 3 . 2.777 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 20.37 |==================================================================== 2 . 20.31 |==================================================================== 3 . 20.36 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 8.837 |=================================================================== 2 . 8.851 |==================================================================== 3 . 8.903 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 47.54 |==================================================================== 2 . 47.74 |==================================================================== 3 . 47.80 |==================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.4 |====================================================================== 2 . 0.4 |====================================================================== 3 . 0.4 |====================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.27 |===================================================================== 2 . 0.27 |===================================================================== 3 . 0.27 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.48 |===================================================================== 2 . 0.48 |===================================================================== 3 . 0.48 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.49 |===================================================================== 2 . 0.49 |===================================================================== 3 . 0.49 |===================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 33478112.8 |=============================================================== 2 . 32215518.5 |============================================================= 3 . 33471923.6 |=============================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 3281.15 |================================================================== 2 . 3282.89 |================================================================== 3 . 3281.43 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 3614.5 |=================================================================== 2 . 3612.4 |=================================================================== 3 . 3618.9 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 44.27 |==================================================================== 2 . 44.07 |==================================================================== 3 . 44.22 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 3609.7 |=================================================================== 2 . 3609.8 |=================================================================== 3 . 3609.3 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 43.22 |==================================================================== 2 . 43.12 |==================================================================== 3 . 43.17 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 3610.3 |=================================================================== 2 . 3611.0 |=================================================================== 3 . 3606.6 |=================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 23.08 |==================================================================== 2 . 23.04 |==================================================================== 3 . 23.02 |==================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 6695664 |================================================================== 2 . 6664811 |================================================================== 3 . 6689788 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 20.15 |==================================================================== 2 . 20.14 |==================================================================== 3 . 20.03 |==================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 30.37 |================================================================== 2 . 30.86 |=================================================================== 3 . 31.16 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 54.47 |==================================================================== 2 . 54.48 |==================================================================== 3 . 54.52 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 38.95 |==================================================================== 2 . 39.06 |==================================================================== 3 . 39.09 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 55.98 |==================================================================== 2 . 55.95 |==================================================================== 3 . 55.91 |==================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 31666.7 |================================================================== 2 . 31724.4 |================================================================== 3 . 31732.6 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 16310.6 |================================================================== 2 . 16311.4 |================================================================== 3 . 16394.1 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 14.00 |==================================================================== 2 . 13.96 |==================================================================== 3 . 14.03 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 0.43 |===================================================================== 2 . 0.43 |===================================================================== 3 . 0.43 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 2.03 |===================================================================== 2 . 2.03 |===================================================================== 3 . 2.03 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 1.30 |==================================================================== 2 . 1.31 |===================================================================== 3 . 1.31 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 2.93 |===================================================================== 2 . 2.93 |===================================================================== 3 . 2.93 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 5.41 |===================================================================== 2 . 5.41 |===================================================================== 3 . 5.41 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 11.71 |==================================================================== 2 . 11.70 |==================================================================== 3 . 11.71 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 0.487 |==================================================================== 2 . 0.488 |==================================================================== 3 . 0.487 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 0.616 |==================================================================== 2 . 0.616 |==================================================================== 3 . 0.615 |==================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 1.675 |==================================================================== 2 . 1.684 |==================================================================== 3 . 1.682 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 4.51 |===================================================================== 2 . 4.50 |===================================================================== 3 . 4.51 |===================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 19.88 |==================================================================== 2 . 19.88 |==================================================================== 3 . 19.71 |=================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 134002.97 |================================================================ 2 . 133663.88 |================================================================ 3 . 133992.04 |================================================================ Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 6759841 |================================================================== 2 . 6765874 |================================================================== 3 . 6500948 |=============================================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 10939389 |================================================================= 2 . 10848162 |================================================================ 3 . 10758234 |================================================================ Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 164.54 |=================================================================== 2 . 164.63 |=================================================================== 3 . 165.05 |=================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 374.32 |=================================================================== 2 . 372.93 |================================================================== 3 . 375.87 |=================================================================== Numpy Benchmark Score > Higher Is Better 1 . 195.86 |=================================================================== 2 . 197.29 |=================================================================== 3 . 195.65 |================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 118.93 |=================================================================== 2 . 118.68 |=================================================================== 3 . 118.90 |=================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 15.83 |==================================================================== 2 . 15.82 |==================================================================== 3 . 15.83 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 9.995 |==================================================================== 2 . 9.986 |==================================================================== 3 . 9.999 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 39.74 |=================================================================== 2 . 39.96 |=================================================================== 3 . 40.43 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 27.49 |==================================================================== 2 . 27.39 |==================================================================== 3 . 27.27 |=================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 7.75 |===================================================================== 2 . 7.74 |===================================================================== 3 . 7.69 |==================================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better 1 . 90.44 |=================================================================== 2 . 90.90 |==================================================================== 3 . 91.18 |==================================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better 1 . 188.85 |================================================================= 2 . 194.35 |=================================================================== 3 . 192.54 |================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 219.33 |=================================================================== 2 . 219.96 |=================================================================== 3 . 220.69 |=================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 295005.50 |================================================================ 2 . 293567.70 |================================================================ 3 . 295573.21 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.165 |==================================================================== 2 . 0.166 |==================================================================== 3 . 0.165 |==================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 87.16 |==================================================================== 2 . 87.60 |==================================================================== 3 . 87.00 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 12.65 |==================================================================== 2 . 12.72 |==================================================================== 3 . 12.67 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 85.00 |==================================================================== 2 . 84.97 |==================================================================== 3 . 84.94 |==================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 96.93 |==================================================================== 2 . 96.05 |=================================================================== 3 . 96.42 |==================================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 1893285.20 |=============================================================== 2 . 1706310.95 |========================================================= 3 . 1779019.66 |=========================================================== Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1406039.10 |=============================================================== 2 . 1365839.42 |============================================================= 3 . 1401862.82 |=============================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 93.94 |==================================================================== 2 . 93.38 |==================================================================== 3 . 93.61 |==================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 22.22 |==================================================================== 2 . 22.38 |==================================================================== 3 . 22.26 |==================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 21.34 |=================================================================== 2 . 21.68 |==================================================================== 3 . 21.54 |==================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 15.51 |==================================================================== 2 . 15.50 |==================================================================== 3 . 15.53 |==================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 20.85 |=================================================================== 2 . 20.90 |=================================================================== 3 . 21.08 |==================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 36.41 |==================================================================== 2 . 36.29 |==================================================================== 3 . 36.36 |==================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 3.45 |===================================================================== 2 . 3.44 |===================================================================== 3 . 3.45 |===================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 94.52 |==================================================================== 2 . 93.96 |=================================================================== 3 . 95.02 |==================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 813.60 |=================================================================== 2 . 813.88 |=================================================================== 3 . 811.91 |=================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 88.66 |==================================================================== 2 . 88.88 |==================================================================== 3 . 88.82 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 55.33 |==================================================================== 2 . 54.97 |==================================================================== 3 . 54.87 |=================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 213.15 |=================================================================== 2 . 212.75 |=================================================================== 3 . 212.94 |=================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 189.30 |=================================================================== 2 . 189.34 |=================================================================== 3 . 189.77 |=================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 95.03 |==================================================================== 2 . 94.93 |==================================================================== 3 . 95.01 |==================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 31.25 |==================================================================== 2 . 30.90 |=================================================================== 3 . 31.30 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 339.03 |=================================================================== 2 . 338.02 |=================================================================== 3 . 338.49 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 315.88 |=================================================================== 2 . 313.96 |=================================================================== 3 . 315.18 |=================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 0.48 |==================================================================== 2 . 0.49 |===================================================================== 3 . 0.49 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 8236.15 |================================================================== 2 . 8234.97 |================================================================== 3 . 8208.70 |================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 0.48 |===================================================================== 2 . 0.48 |===================================================================== 3 . 0.48 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 8243.27 |================================================================== 2 . 8225.20 |================================================================== 3 . 8242.67 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 0.32 |===================================================================== 2 . 0.32 |===================================================================== 3 . 0.32 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 12215.58 |================================================================= 2 . 12287.51 |================================================================= 3 . 12209.06 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 0.32 |===================================================================== 2 . 0.32 |===================================================================== 3 . 0.32 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 12220.62 |================================================================= 2 . 12184.99 |================================================================= 3 . 12271.86 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 1 . 1171.44 |================================================================== 2 . 1168.39 |================================================================== 3 . 1160.60 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 1 . 3.39 |==================================================================== 2 . 3.40 |===================================================================== 3 . 3.42 |===================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better 1 . 1176.69 |================================================================== 2 . 1162.82 |================================================================= 3 . 1150.33 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better 1 . 3.38 |=================================================================== 2 . 3.41 |==================================================================== 3 . 3.46 |===================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 0.592 |==================================================================== 2 . 0.592 |==================================================================== 3 . 0.594 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 1.309 |==================================================================== 2 . 1.303 |==================================================================== 3 . 1.294 |=================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 325871276.09 |============================================================= 2 . 325743883.54 |============================================================= 3 . 325951390.45 |============================================================= PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 524140 |=================================================================== 2 . 523043 |=================================================================== 3 . 525275 |=================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 16.01 |==================================================================== 2 . 15.89 |=================================================================== 3 . 15.89 |=================================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 86.09 |=================================================================== 2 . 87.11 |==================================================================== 3 . 86.92 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 182.95 |================================================================= 2 . 189.61 |=================================================================== 3 . 179.04 |=============================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 23.28 |==================================================================== 2 . 23.23 |==================================================================== 3 . 23.25 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 9.48 |============================================================ 2 . 10.83 |==================================================================== 3 . 10.57 |================================================================== Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Seconds < Lower Is Better 1 . 2.672 |==================================================================== 2 . 2.678 |==================================================================== 3 . 2.679 |====================================================================