Core i7 5775C Perf In September 2020 Intel Core i7-5775C testing with a MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS) and MSI Intel Iris Pro 6200 3GB on Ubuntu 18.10 via the Phoronix Test Suite. Run 1: Processor: Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads), Motherboard: MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS), Chipset: Intel Broadwell-U DMI, Memory: 16GB, Disk: 120GB CT120BX100SSD1, Graphics: MSI Intel Iris Pro 6200 3GB (1150MHz), Audio: Intel Broadwell-U Audio, Monitor: VA2431, Network: Qualcomm Atheros Killer E220x OS: Ubuntu 18.10, Kernel: 5.0.0-999-generic (x86_64) 20190223, Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 19.2.0-devel (git-2631fd3 2019-07-24 cosmic-oibaf-ppa), Vulkan: 1.1.102, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080 Run 2: Processor: Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads), Motherboard: MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS), Chipset: Intel Broadwell-U DMI, Memory: 16GB, Disk: 120GB CT120BX100SSD1, Graphics: MSI Intel Iris Pro 6200 3GB (1150MHz), Audio: Intel Broadwell-U Audio, Monitor: VA2431, Network: Qualcomm Atheros Killer E220x OS: Ubuntu 18.10, Kernel: 5.0.0-999-generic (x86_64) 20190223, Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 19.2.0-devel (git-2631fd3 2019-07-24 cosmic-oibaf-ppa), Vulkan: 1.1.102, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080 Run 3: Processor: Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads), Motherboard: MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS), Chipset: Intel Broadwell-U DMI, Memory: 16GB, Disk: 120GB CT120BX100SSD1, Graphics: MSI Intel Iris Pro 6200 3GB (1150MHz), Audio: Intel Broadwell-U Audio, Monitor: VA2431, Network: Qualcomm Atheros Killer E220x OS: Ubuntu 18.10, Kernel: 5.0.0-999-generic (x86_64) 20190223, Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 19.2.0-devel (git-2631fd3 2019-07-24 cosmic-oibaf-ppa), Vulkan: 1.1.102, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080 GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better Run 1 . 985 |================================================================== Run 2 . 982 |================================================================== Run 3 . 988 |================================================================== C-Blosc 2.0 Beta 5 Compressor: blosclz MB/s > Higher Is Better Run 1 . 6788.0 |============================================================== Run 2 . 6787.7 |============================================================== Run 3 . 6887.9 |=============================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Run 1 . 4.10818 |============================================================== Run 2 . 4.09223 |============================================================== Run 3 . 4.09524 |============================================================== Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better Run 1 . 769.23 |=============================================================== Run 2 . 768.57 |=============================================================== Run 3 . 766.92 |=============================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better Run 1 . 296 |================================================================== Run 2 . 295 |================================================================== Run 3 . 294 |================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein ns/day > Higher Is Better Run 1 . 2.864 |================================================================ Run 2 . 2.866 |================================================================ Run 3 . 2.870 |================================================================ Java Gradle Build Gradle Build: Reactor Seconds < Lower Is Better Run 1 . 265.78 |=============================================================== Run 2 . 260.30 |============================================================== Run 3 . 260.04 |============================================================== DaCapo Benchmark 9.12-MR1 Java Test: H2 msec < Lower Is Better Run 1 . 3356 |================================================================= Run 2 . 3364 |================================================================= Run 3 . 3332 |================================================================ DaCapo Benchmark 9.12-MR1 Java Test: Jython msec < Lower Is Better Run 1 . 5257 |================================================================= Run 2 . 5242 |================================================================= Run 3 . 5228 |================================================================= DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap msec < Lower Is Better Run 1 . 7852 |================================================================ Run 2 . 7871 |================================================================ Run 3 . 7942 |================================================================= DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans msec < Lower Is Better Run 1 . 4573 |================================================================ Run 2 . 4621 |================================================================= Run 3 . 4638 |================================================================= Renaissance 0.10.0 Test: Scala Dotty ms < Lower Is Better Run 1 . 1974.92 |============================================================= Run 2 . 1964.48 |============================================================= Run 3 . 1999.39 |============================================================== Renaissance 0.10.0 Test: Random Forest ms < Lower Is Better Run 1 . 2138.86 |============================================================== Run 2 . 2135.79 |============================================================== Run 3 . 2106.81 |============================================================= Renaissance 0.10.0 Test: Apache Spark ALS ms < Lower Is Better Run 1 . 2664.26 |============================================================== Run 2 . 2671.80 |============================================================== Run 3 . 2620.76 |============================================================= Renaissance 0.10.0 Test: Apache Spark Bayes ms < Lower Is Better Run 1 . 3779.50 |=========================================================== Run 2 . 3989.70 |============================================================== Run 3 . 3909.15 |============================================================= Renaissance 0.10.0 Test: Savina Reactors.IO ms < Lower Is Better Run 1 . 19921.23 |============================================================= Run 2 . 19713.40 |============================================================ Run 3 . 19384.78 |=========================================================== Renaissance 0.10.0 Test: Apache Spark PageRank ms < Lower Is Better Run 1 . 4865.50 |============================================================== Run 2 . 4803.63 |============================================================= Run 3 . 4712.37 |============================================================ Renaissance 0.10.0 Test: In-Memory Database Shootout ms < Lower Is Better Run 1 . 3735.45 |============================================================= Run 2 . 3700.01 |============================================================= Run 3 . 3787.31 |============================================================== Renaissance 0.10.0 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better Run 1 . 9284.60 |============================================================= Run 2 . 9409.74 |============================================================== Run 3 . 9242.49 |============================================================= Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better Run 1 . 2494.7 |=============================================================== Run 2 . 2498.2 |=============================================================== Run 3 . 2502.0 |=============================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better Run 1 . 23.1 |================================================================ Run 2 . 23.2 |================================================================= Run 3 . 23.3 |================================================================= LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better Run 1 . 28.13 |================================================================ Run 2 . 28.24 |================================================================ Run 3 . 27.95 |=============================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 8.26351 |============================================================== Run 2 . 8.30212 |============================================================== Run 3 . 8.31908 |============================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 120.15 |=============================================================== Run 2 . 120.30 |=============================================================== Run 3 . 118.53 |============================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 21.16 |================================================================ Run 2 . 20.38 |============================================================== Run 3 . 20.85 |=============================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 10.07 |================================================================ Run 2 . 10.06 |================================================================ Run 3 . 10.12 |================================================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 15.96 |============================================================== Run 2 . 15.70 |============================================================= Run 3 . 16.45 |================================================================ oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 558.90 |============================================================= Run 2 . 535.21 |========================================================== Run 3 . 577.33 |=============================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 175.57 |=============================================================== Run 2 . 169.76 |============================================================= Run 3 . 176.76 |=============================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 3.38848 |========================================================= Run 2 . 3.66649 |============================================================= Run 3 . 3.71663 |============================================================== AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better Run 1 . 0.2 |================================================================== Run 2 . 0.2 |================================================================== Run 3 . 0.2 |================================================================== AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better Run 1 . 1.65 |================================================================= Run 2 . 1.66 |================================================================= Run 3 . 1.66 |================================================================= AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better Run 1 . 13.44 |================================================================ Run 2 . 13.47 |================================================================ Run 3 . 13.47 |================================================================ AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better Run 1 . 2.64 |================================================================= Run 2 . 2.66 |================================================================= Run 3 . 2.65 |================================================================= AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better Run 1 . 33.82 |================================================================ Run 2 . 33.67 |================================================================ Run 3 . 33.83 |================================================================ SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Frames Per Second > Higher Is Better Run 1 . 1.496 |================================================================ Run 2 . 1.498 |================================================================ Run 3 . 1.498 |================================================================ SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Frames Per Second > Higher Is Better Run 1 . 12.19 |================================================================ Run 2 . 12.22 |================================================================ Run 3 . 12.21 |================================================================ LuxCoreRender 2.3 Scene: DLSC M samples/sec > Higher Is Better Run 1 . 0.67 |================================================================= Run 2 . 0.67 |================================================================= Run 3 . 0.67 |================================================================= libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better Run 1 . 195.32 |=============================================================== Run 2 . 195.31 |=============================================================== Run 3 . 195.39 |=============================================================== libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better Run 1 . 115.30 |=============================================================== Run 2 . 115.44 |=============================================================== Run 3 . 114.99 |=============================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better Run 1 . 8.517 |================================================================ Run 2 . 8.492 |================================================================ Run 3 . 8.491 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better Run 1 . 7.877 |================================================================ Run 2 . 7.789 |=============================================================== Run 3 . 7.797 |=============================================================== Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better Run 1 . 30.58 |================================================================ Run 2 . 30.60 |================================================================ Run 3 . 30.52 |================================================================ Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better Run 1 . 177.85 |============================================================== Run 2 . 177.88 |============================================================== Run 3 . 180.37 |=============================================================== Build2 0.12 Time To Compile Seconds < Lower Is Better Run 1 . 215.35 |=============================================================== Run 2 . 209.97 |============================================================= Run 3 . 208.53 |============================================================= eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better Run 1 . 40.64 |================================================================ Run 2 . 40.76 |================================================================ Run 3 . 40.46 |================================================================ Montage Astronomical Image Mosaic Engine 6.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg Seconds < Lower Is Better Run 1 . 92.33 |================================================================ Run 2 . 92.24 |================================================================ Run 3 . 92.09 |================================================================ System GZIP Decompression Seconds < Lower Is Better Run 1 . 3.447 |================================================================ Run 2 . 3.385 |=============================================================== Run 3 . 3.381 |=============================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better Run 1 . 353.18 |=============================================================== Run 2 . 349.48 |============================================================== Run 3 . 344.54 |============================================================= MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better Run 1 . 902.29 |============================================================== Run 2 . 911.23 |=============================================================== Run 3 . 911.49 |=============================================================== GROMACS 2020.1 Water Benchmark Ns Per Day > Higher Is Better Run 1 . 0.485 |================================================================ Run 2 . 0.484 |================================================================ Run 3 . 0.485 |================================================================ TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better Run 1 . 541870 |=============================================================== Run 2 . 540887 |=============================================================== Run 3 . 540902 |=============================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better Run 1 . 7825710 |============================================================== Run 2 . 7809863 |============================================================== Run 3 . 7810147 |============================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better Run 1 . 387372 |=============================================================== Run 2 . 386514 |=============================================================== Run 3 . 386168 |=============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better Run 1 . 366589 |=============================================================== Run 2 . 365619 |=============================================================== Run 3 . 365631 |=============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better Run 1 . 354486 |=============================================================== Run 2 . 353741 |=============================================================== Run 3 . 353786 |=============================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better Run 1 . 7077587 |============================================================== Run 2 . 7063550 |============================================================== Run 3 . 7064830 |============================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better Run 1 . 8.40 |================================================================= Run 2 . 8.41 |================================================================= Run 3 . 8.42 |================================================================= ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better Run 1 . 10.93 |================================================================ Run 2 . 10.92 |================================================================ Run 3 . 10.92 |================================================================ ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better Run 1 . 72.66 |================================================================ Run 2 . 72.61 |================================================================ Run 3 . 72.61 |================================================================ ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better Run 1 . 589.16 |=============================================================== Run 2 . 588.40 |=============================================================== Run 3 . 588.48 |=============================================================== Hugin Panorama Photo Assistant + Stitching Time Seconds < Lower Is Better Run 1 . 81.91 |=============================================================== Run 2 . 82.23 |================================================================ Run 3 . 82.74 |================================================================ OCRMyPDF 6.2.4 Processing 60 Page PDF Document Seconds < Lower Is Better Run 1 . 56.16 |================================================================ Run 2 . 56.08 |================================================================ Run 3 . 56.12 |================================================================ GNU Octave Benchmark 4.4.1 Seconds < Lower Is Better Run 1 . 8.707 |================================================================ Run 2 . 8.653 |================================================================ Run 3 . 8.710 |================================================================ Stress-NG 0.11.07 Test: MMAP Bogo Ops/s > Higher Is Better Run 1 . 54.22 |================================================================ Run 2 . 54.32 |================================================================ Run 3 . 54.19 |================================================================ Stress-NG 0.11.07 Test: NUMA Bogo Ops/s > Higher Is Better Run 1 . 85.99 |================================================================ Run 2 . 85.43 |================================================================ Run 3 . 85.43 |================================================================ Stress-NG 0.11.07 Test: MEMFD Bogo Ops/s > Higher Is Better Run 1 . 286.58 |============================================================= Run 2 . 297.06 |=============================================================== Run 3 . 293.65 |============================================================== Stress-NG 0.11.07 Test: Atomic Bogo Ops/s > Higher Is Better Run 1 . 202671.08 |=========================================================== Run 2 . 205022.47 |=========================================================== Run 3 . 207144.00 |============================================================ Stress-NG 0.11.07 Test: Crypto Bogo Ops/s > Higher Is Better Run 1 . 817.97 |=============================================================== Run 2 . 818.90 |=============================================================== Run 3 . 816.73 |=============================================================== Stress-NG 0.11.07 Test: Malloc Bogo Ops/s > Higher Is Better Run 1 . 31337895.18 |========================================================= Run 2 . 32002407.75 |========================================================== Run 3 . 31529776.24 |========================================================= Stress-NG 0.11.07 Test: RdRand Bogo Ops/s > Higher Is Better Run 1 . 240337.19 |============================================================ Run 2 . 240331.88 |============================================================ Run 3 . 240319.26 |============================================================ Stress-NG 0.11.07 Test: Forking Bogo Ops/s > Higher Is Better Run 1 . 37547.26 |============================================================= Run 2 . 37723.77 |============================================================= Run 3 . 37590.58 |============================================================= Stress-NG 0.11.07 Test: SENDFILE Bogo Ops/s > Higher Is Better Run 1 . 46822.85 |============================================================= Run 2 . 46865.51 |============================================================= Run 3 . 46879.66 |============================================================= Stress-NG 0.11.07 Test: CPU Cache Bogo Ops/s > Higher Is Better Run 1 . 45.27 |=============================================================== Run 2 . 44.21 |============================================================== Run 3 . 45.91 |================================================================ Stress-NG 0.11.07 Test: CPU Stress Bogo Ops/s > Higher Is Better Run 1 . 1751.85 |============================================================= Run 2 . 1741.82 |============================================================= Run 3 . 1770.49 |============================================================== Stress-NG 0.11.07 Test: Semaphores Bogo Ops/s > Higher Is Better Run 1 . 743806.03 |============================================================ Run 2 . 744929.81 |============================================================ Run 3 . 744313.54 |============================================================ Stress-NG 0.11.07 Test: Matrix Math Bogo Ops/s > Higher Is Better Run 1 . 19391.27 |============================================================= Run 2 . 19265.77 |============================================================= Run 3 . 19207.24 |============================================================ Stress-NG 0.11.07 Test: Vector Math Bogo Ops/s > Higher Is Better Run 1 . 25159.22 |============================================================= Run 2 . 25153.83 |============================================================= Run 3 . 25103.46 |============================================================= Stress-NG 0.11.07 Test: Memory Copying Bogo Ops/s > Higher Is Better Run 1 . 2591.44 |============================================================= Run 2 . 2617.52 |============================================================== Run 3 . 2396.66 |========================================================= Stress-NG 0.11.07 Test: Socket Activity Bogo Ops/s > Higher Is Better Run 1 . 6030.69 |============================================================= Run 2 . 6030.96 |============================================================= Run 3 . 6125.05 |============================================================== Stress-NG 0.11.07 Test: Context Switching Bogo Ops/s > Higher Is Better Run 1 . 1693803.99 |========================================================== Run 2 . 1698242.99 |========================================================== Run 3 . 1728927.62 |=========================================================== Stress-NG 0.11.07 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better Run 1 . 453045.74 |=========================================================== Run 2 . 445829.21 |========================================================== Run 3 . 458759.57 |============================================================ Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better Run 1 . 58.69 |================================================================ Run 2 . 58.60 |================================================================ Run 3 . 58.43 |================================================================ Stress-NG 0.11.07 Test: System V Message Passing Bogo Ops/s > Higher Is Better Run 1 . 6263395.17 |========================================================= Run 2 . 6453494.07 |=========================================================== Run 3 . 6385777.22 |========================================================== GPAW 20.1 Input: Carbon Nanotube Seconds < Lower Is Better Run 1 . 653.11 |=============================================================== Run 2 . 648.61 |=============================================================== Run 3 . 648.33 |=============================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better Run 1 . 9.271 |=============================================================== Run 2 . 9.390 |================================================================ Run 3 . 9.399 |================================================================ Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better Run 1 . 44.34 |=============================================================== Run 2 . 44.85 |================================================================ Run 3 . 44.90 |================================================================ Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better Run 1 . 4.956 |================================================================ Run 2 . 4.967 |================================================================ Run 3 . 4.968 |================================================================ Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better Run 1 . 6.928 |================================================================ Run 2 . 6.949 |================================================================ Run 3 . 6.935 |================================================================ Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better Run 1 . 54.38 |=============================================================== Run 2 . 54.89 |================================================================ Run 3 . 54.71 |================================================================ NCNN 20200916 Target: CPU - Model: squeezenet_int8 ms < Lower Is Better Run 1 . 25.32 |=============================================================== Run 2 . 25.53 |================================================================ Run 3 . 25.38 |================================================================ NCNN 20200916 Target: CPU - Model: mobilenet_v3 ms < Lower Is Better Run 1 . 6.00 |================================================================= Run 2 . 5.99 |================================================================= Run 3 . 6.02 |================================================================= NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better Run 1 . 4.92 |================================================================= Run 2 . 4.95 |================================================================= Run 3 . 4.93 |================================================================= NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better Run 1 . 6.57 |================================================================ Run 2 . 6.55 |================================================================ Run 3 . 6.65 |================================================================= NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better Run 1 . 2.20 |================================================================ Run 2 . 2.19 |================================================================ Run 3 . 2.23 |================================================================= NCNN 20200916 Target: CPU - Model: googlenet_int8 ms < Lower Is Better Run 1 . 71.78 |================================================================ Run 2 . 71.54 |================================================================ Run 3 . 71.58 |================================================================ NCNN 20200916 Target: CPU - Model: vgg16_int8 ms < Lower Is Better Run 1 . 243.01 |=============================================================== Run 2 . 240.49 |============================================================== Run 3 . 240.88 |============================================================== NCNN 20200916 Target: CPU - Model: resnet18_int8 ms < Lower Is Better Run 1 . 39.46 |================================================================ Run 2 . 39.43 |================================================================ Run 3 . 39.39 |================================================================ NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better Run 1 . 24.89 |================================================================ Run 2 . 24.20 |============================================================== Run 3 . 24.33 |=============================================================== NCNN 20200916 Target: CPU - Model: resnet50_int8 ms < Lower Is Better Run 1 . 133.02 |=============================================================== Run 2 . 132.94 |=============================================================== Run 3 . 132.87 |=============================================================== NCNN 20200916 Target: CPU - Model: mobilenetv2_yolov3 ms < Lower Is Better Run 1 . 26.87 |================================================================ Run 2 . 26.66 |=============================================================== Run 3 . 26.49 |=============================================================== NeatBench 5 Acceleration: CPU FPS > Higher Is Better Run 1 . 8.16 |================================================================= Run 2 . 8.11 |================================================================= Run 3 . 7.89 |=============================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better Run 1 . 45474 |================================================================ Run 2 . 45358 |================================================================ Run 3 . 45365 |================================================================ OpenCV 4.4 Test: DNN - Deep Neural Network ms < Lower Is Better Run 1 . 5441 |================================================================ Run 2 . 4928 |========================================================== Run 3 . 5494 |================================================================= InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Run 1 . 855281.8 |============================================================= Run 2 . 852344.4 |============================================================= Run 3 . 838679.5 |============================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Run 1 . 909598.9 |============================================================= Run 2 . 915807.8 |============================================================= Run 3 . 903216.0 |============================================================ InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Run 1 . 971205.0 |============================================================ Run 2 . 982263.6 |============================================================= Run 3 . 982578.8 |=============================================================