Xeon E3-1280 v5 Oct Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better 1 . 2982 |===================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 753 |==================================================================== 2 . 766 |====================================================================== 3 . 770 |====================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 680 |===================================================================== 2 . 685 |====================================================================== 3 . 683 |====================================================================== LeelaChessZero 0.26 Backend: Random Nodes Per Second > Higher Is Better 1 . 207336 |=================================================================== 2 . 207014 |=================================================================== 3 . 206946 |=================================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 1 . 3.80757 |================================================================== 2 . 3.80980 |================================================================== 3 . 3.80919 |================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 20.95 |==================================================================== 2 . 20.92 |==================================================================== 3 . 20.91 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 20211.79 |================================================================= 2 . 19804.66 |================================================================ 3 . 19709.17 |=============================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 122.44 |=================================================================== 2 . 122.54 |=================================================================== 3 . 122.52 |=================================================================== Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better 1 . 734.54 |=================================================================== 2 . 734.33 |=================================================================== 3 . 737.05 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 12.08 |==================================================================== 2 . 12.15 |==================================================================== 3 . 12.14 |==================================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better 1 . 300 |====================================================================== 2 . 300 |====================================================================== 3 . 300 |====================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 2.877 |==================================================================== 2 . 2.887 |==================================================================== 3 . 2.876 |==================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 2.796 |==================================================================== 2 . 2.803 |==================================================================== 3 . 2.799 |==================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.706 |==================================================================== 2 . 1.706 |==================================================================== 3 . 1.707 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.677 |==================================================================== 2 . 2.674 |==================================================================== 3 . 2.677 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 18.80 |=================================================================== 2 . 18.88 |==================================================================== 3 . 18.95 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 7.972 |==================================================================== 2 . 7.985 |==================================================================== 3 . 7.986 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 46.86 |==================================================================== 2 . 46.99 |==================================================================== 3 . 47.08 |==================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 39309015.6 |=============================================================== 2 . 39143549.8 |=============================================================== 3 . 39339662.1 |=============================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 1 . 2254.4 |=================================================================== 2 . 2257.0 |=================================================================== 3 . 2252.7 |=================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 1 . 19.1 |===================================================================== 2 . 19.2 |===================================================================== 3 . 19.1 |===================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 28.19 |==================================================================== 2 . 28.13 |==================================================================== 3 . 28.11 |==================================================================== TSCP 1.81 AI Chess Performance Nodes Per Second > Higher Is Better 1 . 1161980 |================================================================== 2 . 1163456 |================================================================== 3 . 1162474 |================================================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better 1 . 1490.86 |================================================================== 2 . 1490.62 |================================================================== 3 . 1490.68 |================================================================== DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better 1 . 77.70 |==================================================================== 2 . 77.94 |==================================================================== 3 . 77.70 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 31.66 |=================================================================== 2 . 31.49 |=================================================================== 3 . 31.97 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 27.17 |==================================================================== 2 . 27.18 |==================================================================== 3 . 27.25 |==================================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better 1 . 377.56 |=================================================================== 2 . 377.03 |=================================================================== 3 . 375.64 |=================================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better 1 . 1180.75 |================================================================== 2 . 1177.43 |================================================================== 3 . 1181.91 |================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 147.52 |================================================================== 2 . 149.15 |================================================================== 3 . 150.37 |=================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 385851.58 |================================================================ 2 . 382973.15 |================================================================ 3 . 382203.75 |=============================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only TPS > Higher Is Better 1 . 20536 |==================================================================== 2 . 20618 |==================================================================== 3 . 20556 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.049 |==================================================================== 2 . 0.048 |=================================================================== 3 . 0.049 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write TPS > Higher Is Better 1 . 209 |====================================================================== 2 . 201 |=================================================================== 3 . 198 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 4.796 |================================================================ 2 . 4.987 |=================================================================== 3 . 5.063 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only TPS > Higher Is Better 1 . 114854 |=================================================================== 2 . 114466 |=================================================================== 3 . 113306 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.436 |=================================================================== 2 . 0.437 |=================================================================== 3 . 0.442 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only TPS > Higher Is Better 1 . 110927 |=================================================================== 2 . 109654 |================================================================== 3 . 107694 |================================================================= PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.902 |================================================================== 2 . 0.912 |=================================================================== 3 . 0.929 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only TPS > Higher Is Better 1 . 92077 |==================================================================== 2 . 90359 |=================================================================== 3 . 91934 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 2.718 |=================================================================== 2 . 2.769 |==================================================================== 3 . 2.724 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write TPS > Higher Is Better 1 . 284 |====================================================================== 2 . 272 |=================================================================== 3 . 262 |================================================================= PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 175.93 |============================================================== 2 . 183.65 |================================================================ 3 . 190.86 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only TPS > Higher Is Better 1 . 20240 |==================================================================== 2 . 20229 |==================================================================== 3 . 20241 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.049 |==================================================================== 2 . 0.049 |==================================================================== 3 . 0.049 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write TPS > Higher Is Better 1 . 278 |====================================================================== 2 . 256 |================================================================ 3 . 251 |=============================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 359.56 |============================================================ 2 . 390.03 |================================================================= 3 . 399.09 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write TPS > Higher Is Better 1 . 265 |====================================================================== 2 . 245 |================================================================= 3 . 241 |================================================================ PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 942.92 |============================================================ 2 . 1019.73 |================================================================= 3 . 1037.52 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write TPS > Higher Is Better 1 . 196 |====================================================================== 2 . 191 |==================================================================== 3 . 184 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 5.109 |================================================================ 2 . 5.231 |================================================================== 3 . 5.424 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only TPS > Higher Is Better 1 . 97849 |==================================================================== 2 . 97079 |=================================================================== 3 . 97011 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.511 |=================================================================== 2 . 0.515 |==================================================================== 3 . 0.515 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only TPS > Higher Is Better 1 . 95282 |==================================================================== 2 . 94493 |=================================================================== 3 . 94424 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 1.050 |=================================================================== 2 . 1.058 |==================================================================== 3 . 1.060 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only TPS > Higher Is Better 1 . 81251 |================================================================== 2 . 82741 |=================================================================== 3 . 83711 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 3.079 |==================================================================== 2 . 3.022 |=================================================================== 3 . 2.990 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write TPS > Higher Is Better 1 . 3636 |===================================================================== 2 . 3459 |================================================================== 3 . 3365 |================================================================ PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 13.76 |=============================================================== 2 . 14.47 |================================================================== 3 . 14.87 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write TPS > Higher Is Better 1 . 4579 |===================================================================== 2 . 4429 |=================================================================== 3 . 4240 |================================================================ PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 21.99 |=============================================================== 2 . 22.68 |================================================================= 3 . 23.75 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write TPS > Higher Is Better 1 . 4824 |===================================================================== 2 . 4592 |================================================================== 3 . 4501 |================================================================ PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 51.84 |=============================================================== 2 . 54.62 |=================================================================== 3 . 55.78 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 65515 |==================================================================== 2 . 65541 |==================================================================== 3 . 65520 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 130722 |=================================================================== 2 . 131091 |=================================================================== 3 . 130891 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 161333 |=================================================================== 2 . 161133 |=================================================================== 3 . 161112 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 323152 |=================================================================== 2 . 322330 |=================================================================== 3 . 323334 |=================================================================== GPAW 20.1 Input: Carbon Nanotube Seconds < Lower Is Better 1 . 602.62 |=================================================================== 2 . 604.07 |=================================================================== 3 . 602.97 |=================================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 10.04 |==================================================================== 2 . 10.06 |==================================================================== 3 . 10.10 |==================================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better 1 . 56.11 |==================================================================== 2 . 55.81 |==================================================================== 3 . 55.95 |==================================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better 1 . 5.590 |==================================================================== 2 . 5.570 |==================================================================== 3 . 5.576 |==================================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 8.022 |==================================================================== 2 . 7.674 |================================================================= 3 . 7.683 |================================================================= Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better 1 . 61.63 |==================================================================== 2 . 61.65 |==================================================================== 3 . 61.63 |==================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 24.92 |==================================================================== 2 . 24.86 |==================================================================== 3 . 24.89 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 28.87 |==================================================================== 2 . 28.76 |==================================================================== 3 . 28.76 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.83 |===================================================================== 2 . 7.78 |===================================================================== 3 . 7.78 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.50 |===================================================================== 2 . 6.53 |===================================================================== 3 . 6.52 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.56 |===================================================================== 2 . 4.57 |===================================================================== 3 . 4.58 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.56 |===================================================================== 2 . 6.56 |===================================================================== 3 . 6.57 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 10.46 |==================================================================== 2 . 10.45 |==================================================================== 3 . 10.46 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.09 |===================================================================== 2 . 2.09 |===================================================================== 3 . 2.10 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 23.14 |==================================================================== 2 . 23.14 |==================================================================== 3 . 23.18 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 103.72 |=================================================================== 2 . 93.30 |============================================================ 3 . 93.29 |============================================================ NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 23.52 |==================================================================== 2 . 23.50 |==================================================================== 3 . 23.50 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 22.64 |==================================================================== 2 . 22.64 |==================================================================== 3 . 22.64 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 47.02 |==================================================================== 2 . 47.07 |==================================================================== 3 . 47.05 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 40.09 |==================================================================== 2 . 39.92 |==================================================================== 3 . 39.92 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 357.32 |=================================================================== 2 . 357.85 |=================================================================== 3 . 357.36 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 342.39 |=================================================================== 2 . 337.74 |================================================================== 3 . 337.82 |================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 390197794.57 |============================================================= 2 . 390087861.34 |============================================================= 3 . 390272679.15 |============================================================= Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 67.01 |==================================================================== 2 . 65.29 |================================================================== 3 . 65.54 |=================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 87.89 |==================================================================== 2 . 86.60 |=================================================================== 3 . 87.89 |==================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 27.66 |==================================================================== 2 . 27.70 |==================================================================== 3 . 27.70 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 4.32 |==================================================================== 2 . 4.33 |==================================================================== 3 . 4.39 |===================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 16736247 |================================================================= 2 . 16595780 |================================================================ 3 . 16583477 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 889455.4 |================================================================= 2 . 876094.3 |================================================================ 3 . 872007.4 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1016169.1 |================================================================ 2 . 1013846.1 |================================================================ 3 . 1012647.3 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1027433.3 |================================================================ 2 . 1028323.2 |================================================================ 3 . 1023332.0 |================================================================