7900X New Intel Core i7-7900X testing with a ASRock X299 Extreme4 (P1.50 BIOS) and Zotac NVIDIA GeForce GT 610 1GB on Ubuntu 19.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Zotac NVIDIA GeForce GT 610 1GB, Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I219-V OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.1, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 11.0.0 20200929, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Zotac NVIDIA GeForce GT 610 1GB, Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I219-V OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.1, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 11.0.0 20200929, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-7900X @ 4.50GHz (10 Cores / 20 Threads), Motherboard: ASRock X299 Extreme4 (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Zotac NVIDIA GeForce GT 610 1GB, Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I219-V OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.1, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 11.0.0 20200929, File-System: ext4, Screen Resolution: 1920x1080 C-Blosc 2.0 Beta 5 Compressor: blosclz MB/s > Higher Is Better 1 . 9271.2 |================================================================== 2 . 9346.1 |=================================================================== 3 . 9318.6 |=================================================================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better 1 . 225.53 |=================================================================== 2 . 223.69 |================================================================== 3 . 224.73 |=================================================================== Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better 1 . 98.05 |================================================================== 2 . 96.21 |================================================================ 3 . 100.05 |=================================================================== Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better 1 . 109.68 |=================================================================== 2 . 109.64 |=================================================================== 3 . 109.37 |=================================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better 1 . 20.14 |==================================================================== 2 . 20.12 |==================================================================== 3 . 20.01 |==================================================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better 1 . 14.08 |==================================================================== 2 . 13.66 |================================================================== 3 . 13.79 |=================================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 1 . 1.59855 |================================================================== 2 . 1.59226 |================================================================== 3 . 1.59601 |================================================================== Algebraic Multi-Grid Benchmark Figure Of Merit > Higher Is Better 1 . 21811.29 |============================================================ 2 . 22928.86 |=============================================================== 3 . 23819.17 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 133.45 |=================================================================== 2 . 133.26 |=================================================================== 3 . 133.10 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 10.52 |==================================================================== 2 . 10.29 |=================================================================== 3 . 10.50 |==================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 7.465 |=================================================================== 2 . 7.556 |==================================================================== 3 . 7.497 |=================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 7.510 |==================================================================== 2 . 7.514 |==================================================================== 3 . 7.494 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 11.48 |================================================================== 2 . 11.81 |==================================================================== 3 . 11.71 |=================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.466 |==================================================================== 2 . 1.450 |=================================================================== 3 . 1.455 |=================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.265 |=================================================================== 2 . 2.267 |=================================================================== 3 . 2.285 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 17.91 |==================================================================== 2 . 17.88 |==================================================================== 3 . 17.92 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 7.051 |==================================================================== 2 . 7.011 |==================================================================== 3 . 7.019 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 41.22 |==================================================================== 2 . 40.90 |=================================================================== 3 . 41.04 |==================================================================== Java Gradle Build Gradle Build: Reactor Seconds < Lower Is Better 1 . 285.60 |================================================================ 2 . 289.46 |================================================================ 3 . 301.17 |=================================================================== DaCapo Benchmark 9.12-MR1 Java Test: H2 msec < Lower Is Better 1 . 4462 |==================================================================== 2 . 4481 |==================================================================== 3 . 4520 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Jython msec < Lower Is Better 1 . 3806 |===================================================================== 2 . 3733 |==================================================================== 3 . 3765 |==================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap msec < Lower Is Better 1 . 4079 |=================================================================== 2 . 4110 |==================================================================== 3 . 4198 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans msec < Lower Is Better 1 . 6507 |===================================================================== 2 . 6421 |==================================================================== 3 . 6348 |=================================================================== Renaissance 0.10.0 Test: Scala Dotty ms < Lower Is Better 1 . 1800.12 |================================================================== 2 . 1768.78 |================================================================= 3 . 1762.77 |================================================================= Renaissance 0.10.0 Test: Random Forest ms < Lower Is Better 1 . 2184.98 |================================================================== 2 . 2121.96 |================================================================ 3 . 2172.27 |================================================================== Renaissance 0.10.0 Test: Apache Spark ALS ms < Lower Is Better 1 . 2367.48 |================================================================= 2 . 2370.43 |================================================================= 3 . 2390.52 |================================================================== Renaissance 0.10.0 Test: Apache Spark Bayes ms < Lower Is Better 1 . 1531.73 |================================================================== 2 . 1534.53 |================================================================== 3 . 1526.99 |================================================================== Renaissance 0.10.0 Test: Savina Reactors.IO ms < Lower Is Better 1 . 23109.94 |=============================================================== 2 . 23820.78 |================================================================= 3 . 23326.53 |================================================================ Renaissance 0.10.0 Test: Apache Spark PageRank ms < Lower Is Better 1 . 3941.90 |================================================================ 2 . 4038.93 |================================================================== 3 . 4028.32 |================================================================== Renaissance 0.10.0 Test: Twitter HTTP Requests ms < Lower Is Better 1 . 2290.01 |================================================================= 2 . 2328.08 |================================================================== 3 . 2311.68 |================================================================== Renaissance 0.10.0 Test: In-Memory Database Shootout ms < Lower Is Better 1 . 4791.11 |================================================================ 2 . 4861.35 |================================================================= 3 . 4926.07 |================================================================== Renaissance 0.10.0 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better 1 . 10146.38 |================================================================= 2 . 9866.13 |=============================================================== 3 . 10202.48 |================================================================= Renaissance 0.10.0 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better 1 . 4831.35 |================================================================== 2 . 4702.30 |================================================================ 3 . 4691.56 |================================================================ BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 41673100.1 |=============================================================== 2 . 41712858.1 |=============================================================== 3 . 41700019.8 |=============================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 1 . 4366.5 |=================================================================== 2 . 4338.3 |=================================================================== 3 . 4345.2 |=================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 1 . 54.3 |===================================================================== 2 . 54.4 |===================================================================== 3 . 54.0 |==================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 38.66 |==================================================================== 2 . 38.82 |==================================================================== 3 . 38.83 |==================================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.17519 |=============================================================== 2 . 3.31121 |================================================================== 3 . 3.17711 |=============================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 43.40 |================================================================== 2 . 44.61 |==================================================================== 3 . 43.50 |================================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.18944 |================================================================= 2 . 1.20993 |================================================================== 3 . 1.19245 |================================================================= oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 16.86 |=================================================================== 2 . 17.06 |==================================================================== 3 . 16.94 |==================================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8.06587 |================================================================== 2 . 8.11044 |================================================================== 3 . 8.08919 |================================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 95.17 |==================================================================== 2 . 95.14 |==================================================================== 3 . 95.10 |==================================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.61 |==================================================================== 2 . 10.65 |==================================================================== 3 . 10.57 |=================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.51332 |================================================================ 2 . 2.58357 |================================================================== 3 . 2.50831 |================================================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.44890 |================================================================= 2 . 3.47977 |================================================================== 3 . 3.45026 |================================================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 10.06068 |================================================================= 2 . 9.97412 |================================================================ 3 . 9.91643 |================================================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.46860 |================================================================== 2 . 1.47076 |================================================================== 3 . 1.46784 |================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.20377 |================================================================ 2 . 2.25585 |================================================================== 3 . 2.18216 |================================================================ oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 202.21 |================================================================== 2 . 205.07 |=================================================================== 3 . 201.09 |================================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 85.76 |================================================================= 2 . 89.67 |==================================================================== 3 . 86.17 |================================================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 12.58 |==================================================================== 2 . 12.59 |==================================================================== 3 . 12.63 |==================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 14.52 |==================================================================== 2 . 14.55 |==================================================================== 3 . 14.51 |==================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 16.25 |=================================================================== 2 . 16.53 |==================================================================== 3 . 16.22 |=================================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.09507 |================================================================== 2 . 2.09643 |================================================================== 3 . 2.08705 |================================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.870165 |================================================================= 2 . 0.845101 |=============================================================== 3 . 0.859670 |================================================================ oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2.82863 |================================================================== 2 . 2.83661 |================================================================== 3 . 2.82811 |================================================================== dav1d 0.7.0 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 610.06 |=================================================================== 2 . 610.40 |=================================================================== 3 . 609.04 |=================================================================== dav1d 0.7.0 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 178.79 |=================================================================== 2 . 177.82 |=================================================================== 3 . 178.64 |=================================================================== dav1d 0.7.0 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 496.04 |=================================================================== 2 . 495.75 |=================================================================== 3 . 494.28 |=================================================================== dav1d 0.7.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 86.74 |==================================================================== 2 . 86.73 |==================================================================== 3 . 86.67 |==================================================================== AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better 1 . 0.31 |===================================================================== 2 . 0.31 |===================================================================== 3 . 0.31 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better 1 . 2.24 |===================================================================== 2 . 2.23 |===================================================================== 3 . 2.23 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better 1 . 17.89 |==================================================================== 2 . 17.92 |==================================================================== 3 . 17.93 |==================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better 1 . 3.52 |===================================================================== 2 . 3.52 |===================================================================== 3 . 3.51 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better 1 . 32.78 |==================================================================== 2 . 32.76 |==================================================================== 3 . 32.61 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 11.61 |=================================================================== 2 . 11.79 |==================================================================== 3 . 11.71 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 13.53 |==================================================================== 2 . 13.55 |==================================================================== 3 . 13.42 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 13.92 |=================================================================== 2 . 13.96 |=================================================================== 3 . 14.09 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 12.89 |==================================================================== 2 . 12.91 |==================================================================== 3 . 12.90 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 17.67 |=================================================================== 2 . 17.81 |==================================================================== 3 . 17.72 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 15.70 |==================================================================== 2 . 15.66 |==================================================================== 3 . 15.65 |==================================================================== SVT-AV1 0.8 Encoder Mode: Enc Mode 0 - Input: 1080p Frames Per Second > Higher Is Better 1 . 0.133 |==================================================================== 2 . 0.133 |==================================================================== 3 . 0.133 |==================================================================== SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Frames Per Second > Higher Is Better 1 . 3.963 |==================================================================== 2 . 3.967 |==================================================================== 3 . 3.979 |==================================================================== SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Frames Per Second > Higher Is Better 1 . 33.36 |==================================================================== 2 . 33.34 |==================================================================== 3 . 33.31 |==================================================================== SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 187.94 |================================================================== 2 . 189.66 |=================================================================== 3 . 187.64 |================================================================== SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 200.60 |=================================================================== 2 . 201.18 |=================================================================== 3 . 199.74 |=================================================================== SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 156.08 |=================================================================== 2 . 155.67 |=================================================================== 3 . 155.36 |=================================================================== Intel Open Image Denoise 1.2.0 Scene: Memorial Images / Sec > Higher Is Better 1 . 19.71 |==================================================================== 2 . 19.66 |==================================================================== 3 . 19.54 |=================================================================== OpenVKL 0.9 Benchmark: vklBenchmark Items / Sec > Higher Is Better 1 . 175.67 |=================================================================== 2 . 176.28 |=================================================================== 3 . 176.14 |=================================================================== OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Items / Sec > Higher Is Better 1 . 56744630.23 |============================================================== 2 . 56075820.36 |============================================================= 3 . 56461883.82 |============================================================== LuxCoreRender 2.3 Scene: DLSC M samples/sec > Higher Is Better 1 . 1.68 |==================================================================== 2 . 1.70 |===================================================================== 3 . 1.67 |==================================================================== LuxCoreRender 2.3 Scene: Rainbow Colors and Prism M samples/sec > Higher Is Better 1 . 1.79 |===================================================================== 2 . 1.78 |===================================================================== 3 . 1.79 |===================================================================== libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better 1 . 90.01 |==================================================================== 2 . 90.18 |==================================================================== 3 . 89.54 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better 1 . 54.46 |==================================================================== 2 . 54.04 |=================================================================== 3 . 54.18 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better 1 . 5.669 |=================================================================== 2 . 5.686 |==================================================================== 3 . 5.712 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better 1 . 5.385 |=================================================================== 2 . 5.443 |==================================================================== 3 . 5.446 |==================================================================== Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better 1 . 25.51 |==================================================================== 2 . 25.50 |==================================================================== 3 . 25.61 |==================================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better 1 . 82.58 |==================================================================== 2 . 81.47 |=================================================================== 3 . 82.11 |==================================================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better 1 . 605.56 |=================================================================== 2 . 606.32 |=================================================================== 3 . 602.00 |=================================================================== YafaRay 3.4.1 Total Time For Sample Scene Seconds < Lower Is Better 1 . 162.83 |================================================================== 2 . 166.54 |=================================================================== 3 . 164.85 |================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 30.39 |==================================================================== 2 . 30.46 |==================================================================== 3 . 28.25 |=============================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 653144.31 |================================================================ 2 . 650558.98 |================================================================ 3 . 647412.54 |=============================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better 1 . 191171 |=================================================================== 2 . 191148 |=================================================================== 3 . 191041 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better 1 . 2836850 |================================================================== 2 . 2832607 |================================================================== 3 . 2831243 |================================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better 1 . 181809 |=================================================================== 2 . 181669 |=================================================================== 3 . 181512 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better 1 . 133967 |=================================================================== 2 . 133478 |=================================================================== 3 . 133377 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better 1 . 136609 |=================================================================== 2 . 136479 |=================================================================== 3 . 136482 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better 1 . 2563993 |================================================================== 2 . 2554177 |================================================================== 3 . 2553237 |================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 50.71 |==================================================================== 2 . 50.93 |==================================================================== 3 . 51.05 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 7.956 |==================================================================== 2 . 7.982 |==================================================================== 3 . 7.972 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 30.99 |==================================================================== 2 . 30.96 |==================================================================== 3 . 30.99 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 58.72 |==================================================================== 2 . 58.76 |==================================================================== 3 . 58.78 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better 1 . 721.82 |=================================================================== 2 . 721.87 |=================================================================== 3 . 721.68 |=================================================================== G'MIC Test: 2D Function Plotting, 1000 Times Seconds < Lower Is Better 1 . 114.16 |================================================================== 2 . 115.82 |=================================================================== 3 . 114.53 |================================================================== G'MIC Test: Plotting Isosurface Of A 3D Volume, 1000 Times Seconds < Lower Is Better 1 . 19.28 |==================================================================== 2 . 19.32 |==================================================================== 3 . 19.18 |==================================================================== G'MIC Test: 3D Elevated Function In Random Colors, 100 Times Seconds < Lower Is Better 1 . 63.18 |==================================================================== 2 . 63.19 |==================================================================== 3 . 63.29 |==================================================================== Hugin Panorama Photo Assistant + Stitching Time Seconds < Lower Is Better 1 . 55.08 |=================================================================== 2 . 55.54 |==================================================================== 3 . 55.22 |==================================================================== OCRMyPDF 8.0.1+dfsg Processing 60 Page PDF Document Seconds < Lower Is Better 1 . 30.98 |=================================================================== 2 . 30.61 |================================================================== 3 . 31.36 |==================================================================== GNU Octave Benchmark 4.4.1 Seconds < Lower Is Better 1 . 8.116 |==================================================================== 2 . 8.126 |==================================================================== 3 . 8.118 |==================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better 1 . 53.95 |==================================================================== 2 . 53.86 |==================================================================== 3 . 53.81 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 47971 |==================================================================== 2 . 48100 |==================================================================== 3 . 48019 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 96232 |==================================================================== 2 . 96039 |==================================================================== 3 . 95991 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 478604 |=================================================================== 2 . 478353 |=================================================================== 3 . 479169 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 122110 |=================================================================== 2 . 122299 |=================================================================== 3 . 121854 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 243796 |=================================================================== 2 . 244154 |=================================================================== 3 . 243957 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 1220000 |================================================================== 2 . 1220130 |================================================================== 3 . 1220333 |================================================================== GPAW 20.1 Input: Carbon Nanotube Seconds < Lower Is Better 1 . 249.72 |=================================================================== 2 . 249.96 |=================================================================== 3 . 250.26 |=================================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.557 |==================================================================== 2 . 7.524 |==================================================================== 3 . 7.503 |==================================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better 1 . 35.63 |==================================================================== 2 . 35.60 |==================================================================== 3 . 35.54 |==================================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.605 |=================================================================== 2 . 4.668 |==================================================================== 3 . 4.620 |=================================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.213 |==================================================================== 2 . 4.221 |==================================================================== 3 . 4.215 |==================================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better 1 . 40.92 |==================================================================== 2 . 41.17 |==================================================================== 3 . 41.11 |==================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 15.11 |==================================================================== 2 . 15.21 |==================================================================== 3 . 14.95 |=================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 16.84 |================================================================== 2 . 17.26 |==================================================================== 3 . 17.04 |=================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.50 |===================================================================== 2 . 5.37 |=================================================================== 3 . 5.44 |==================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.64 |===================================================================== 2 . 4.55 |==================================================================== 3 . 4.65 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.34 |===================================================================== 2 . 4.33 |==================================================================== 3 . 4.37 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 4.97 |===================================================================== 2 . 4.86 |=================================================================== 3 . 4.94 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.82 |===================================================================== 2 . 6.68 |==================================================================== 3 . 6.70 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.94 |===================================================================== 2 . 1.88 |=================================================================== 3 . 1.93 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 14.10 |==================================================================== 2 . 13.63 |================================================================= 3 . 14.20 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 45.41 |=================================================================== 2 . 45.77 |==================================================================== 3 . 45.25 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 12.12 |==================================================================== 2 . 12.12 |==================================================================== 3 . 11.92 |=================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 10.99 |==================================================================== 2 . 10.92 |==================================================================== 3 . 10.90 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 23.09 |==================================================================== 2 . 23.21 |==================================================================== 3 . 22.92 |=================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 25.07 |==================================================================== 2 . 24.58 |=================================================================== 3 . 24.91 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 315.68 |=================================================================== 2 . 315.40 |=================================================================== 3 . 315.08 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 296.37 |=================================================================== 2 . 296.42 |=================================================================== 3 . 296.31 |=================================================================== Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 1 . 151.14 |=================================================================== 2 . 151.51 |=================================================================== 3 . 151.24 |=================================================================== Blender 2.90 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 1 . 451.27 |=================================================================== 2 . 452.25 |=================================================================== 3 . 451.81 |=================================================================== Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 1 . 208.93 |=================================================================== 2 . 209.39 |=================================================================== 3 . 209.24 |=================================================================== Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 1 . 605.44 |=================================================================== 2 . 605.36 |=================================================================== 3 . 605.01 |=================================================================== Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 1 . 509.61 |=================================================================== 2 . 508.87 |=================================================================== 3 . 508.79 |=================================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better 1 . 213 |====================================================================== 2 . 213 |====================================================================== 3 . 213 |====================================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better 1 . 302 |====================================================================== 2 . 300 |===================================================================== 3 . 304 |====================================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better 1 . 95.9 |==================================================================== 2 . 97.1 |===================================================================== 3 . 95.9 |==================================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better 1 . 94.6 |===================================================================== 2 . 95.1 |===================================================================== 3 . 94.7 |===================================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better 1 . 102 |===================================================================== 2 . 102 |===================================================================== 3 . 104 |====================================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better 1 . 17.8 |===================================================================== 2 . 17.8 |===================================================================== 3 . 17.8 |===================================================================== PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better 1 . 408 |====================================================================== 2 . 408 |====================================================================== 3 . 408 |====================================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better 1 . 23.8 |===================================================================== 2 . 23.6 |==================================================================== 3 . 23.9 |===================================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better 1 . 97.7 |===================================================================== 2 . 97.6 |===================================================================== 3 . 97.9 |===================================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better 1 . 154 |====================================================================== 2 . 154 |====================================================================== 3 . 154 |====================================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better 1 . 10.5 |===================================================================== 2 . 10.5 |===================================================================== 3 . 10.5 |===================================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better 1 . 46.9 |===================================================================== 2 . 47.0 |===================================================================== 3 . 47.0 |===================================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better 1 . 403 |====================================================================== 2 . 400 |===================================================================== 3 . 403 |====================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 430439779.89 |============================================================= 2 . 429449066.36 |============================================================= 3 . 428315485.28 |============================================================= NeatBench 5 Acceleration: CPU FPS > Higher Is Better 1 . 18.4 |===================================================================== 2 . 17.8 |=================================================================== 3 . 18.3 |===================================================================== Git Time To Complete Common Git Commands Seconds < Lower Is Better 1 . 50.94 |==================================================================== 2 . 50.97 |==================================================================== 3 . 50.91 |==================================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 51.49 |==================================================================== 2 . 51.81 |==================================================================== 3 . 51.68 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 43.02 |==================================================================== 2 . 43.22 |==================================================================== 3 . 43.12 |==================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 15.16 |==================================================================== 2 . 15.14 |==================================================================== 3 . 15.14 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 2.37 |==================================================================== 2 . 2.36 |==================================================================== 3 . 2.40 |===================================================================== Tesseract OCR 4.0.0 Time To OCR 7 Images Seconds < Lower Is Better 1 . 26.64 |==================================================================== 2 . 26.70 |==================================================================== 3 . 26.63 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 2914052 |================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 123855 |=================================================================== 2 . 123019 |=================================================================== 3 . 122797 |================================================================== OpenCV 4.4 Test: DNN - Deep Neural Network ms < Lower Is Better 1 . 4393 |===================================================================== 2 . 4267 |=================================================================== 3 . 4301 |==================================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1201483.2 |================================================================ 2 . 1194436.4 |================================================================ 3 . 1201966.8 |================================================================ RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 26.78 |=================================================================== 2 . 27.08 |==================================================================== 3 . 26.61 |===================================================================