Xeon Broadwell December Intel Xeon E5-2609 v4 testing with a MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E5-2609 v4 @ 1.70GHz (8 Cores), Motherboard: MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 16GB, Disk: 256GB CORSAIR FORCE LX, Graphics: llvmpipe, Audio: Realtek ALC892, Network: Intel I218-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200926-generic (x86_64) 20200925, Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1024x768 2: Processor: Intel Xeon E5-2609 v4 @ 1.70GHz (8 Cores), Motherboard: MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 16GB, Disk: 256GB CORSAIR FORCE LX, Graphics: llvmpipe, Audio: Realtek ALC892, Network: Intel I218-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200926-generic (x86_64) 20200925, Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1024x768 3: Processor: Intel Xeon E5-2609 v4 @ 1.70GHz (8 Cores), Motherboard: MSI X99A RAIDER (MS-7885) v5.0 (P.50 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 16GB, Disk: 256GB CORSAIR FORCE LX, Graphics: llvmpipe, Audio: Realtek ALC892, Network: Intel I218-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200926-generic (x86_64) 20200925, Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1024x768 Flexible IO Tester 3.25 Type: Random Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory MB/s > Higher Is Better 1 . 300 |====================================================================== 2 . 300 |====================================================================== 3 . 300 |====================================================================== Flexible IO Tester 3.25 Type: Random Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory IOPS > Higher Is Better 1 . 76800 |==================================================================== 2 . 76800 |==================================================================== 3 . 76833 |==================================================================== Flexible IO Tester 3.25 Type: Random Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory MB/s > Higher Is Better 1 . 288 |====================================================================== 2 . 290 |====================================================================== 3 . 290 |====================================================================== Flexible IO Tester 3.25 Type: Random Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory IOPS > Higher Is Better 1 . 73600 |=================================================================== 2 . 74233 |==================================================================== 3 . 74267 |==================================================================== Flexible IO Tester 3.25 Type: Sequential Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory MB/s > Higher Is Better 1 . 303 |====================================================================== 2 . 303 |====================================================================== 3 . 304 |====================================================================== Flexible IO Tester 3.25 Type: Sequential Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory IOPS > Higher Is Better 1 . 77467 |==================================================================== 2 . 77500 |==================================================================== 3 . 77933 |==================================================================== Flexible IO Tester 3.25 Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 2MB - Disk Target: Default Test Directory MB/s > Higher Is Better 1 . 297 |====================================================================== Flexible IO Tester 3.25 Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 2MB - Disk Target: Default Test Directory IOPS > Higher Is Better 1 . 145 |====================================================================== Flexible IO Tester 3.25 Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory MB/s > Higher Is Better 1 . 294 |====================================================================== 2 . 287 |==================================================================== 3 . 295 |====================================================================== Flexible IO Tester 3.25 Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory IOPS > Higher Is Better 1 . 75233 |==================================================================== 2 . 73567 |================================================================== 3 . 75500 |==================================================================== Compile Bench 0.6 Test: Compile MB/s > Higher Is Better 1 . 497.15 |================================================================= 2 . 491.11 |================================================================ 3 . 513.08 |=================================================================== Compile Bench 0.6 Test: Initial Create MB/s > Higher Is Better 1 . 202.11 |================================================================= 2 . 199.98 |================================================================ 3 . 208.83 |=================================================================== Compile Bench 0.6 Test: Read Compiled Tree MB/s > Higher Is Better 1 . 1163.84 |================================================================= 2 . 1171.42 |================================================================== 3 . 1179.78 |================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 240.37 |=================================================================== 2 . 240.77 |=================================================================== 3 . 240.78 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 19.79 |==================================================================== 2 . 19.70 |==================================================================== 3 . 19.57 |=================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 3214097 |================================================================== 2 . 3217989 |================================================================== 3 . 3217443 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.50682 |================================================================== 2 . 8.47301 |================================================================== 3 . 8.50788 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.33622 |================================================================== 2 . 8.23160 |================================================================= 3 . 8.20556 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6.08337 |================================================================== 2 . 6.07395 |================================================================== 3 . 6.08108 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4.00038 |================================================================== 2 . 3.99263 |================================================================== 3 . 3.98625 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 14.09 |==================================================================== 2 . 14.10 |==================================================================== 3 . 14.13 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 12.75 |=================================================================== 2 . 12.76 |=================================================================== 3 . 12.87 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 14.41 |==================================================================== 2 . 14.41 |==================================================================== 3 . 14.45 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 17.21 |==================================================================== 2 . 17.15 |==================================================================== 3 . 17.16 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 15.99 |==================================================================== 2 . 16.00 |==================================================================== 3 . 16.00 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 12.04 |==================================================================== 2 . 11.99 |==================================================================== 3 . 11.97 |==================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7901.02 |================================================================== 2 . 7920.60 |================================================================== 3 . 7904.09 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4134.56 |================================================================== 2 . 4095.41 |================================================================= 3 . 4097.59 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7910.95 |================================================================== 2 . 7926.71 |================================================================== 3 . 7909.39 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4116.71 |================================================================== 2 . 4096.64 |================================================================== 3 . 4095.98 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.12538 |================================================================== 2 . 4.13088 |================================================================== 3 . 4.12906 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 7925.35 |================================================================== 2 . 7901.55 |================================================================== 3 . 7910.09 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4097.42 |================================================================== 2 . 4093.59 |================================================================== 3 . 4096.82 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7.46562 |================================================================== 2 . 7.45604 |================================================================== 3 . 7.46147 |================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.139 |==================================================================== 2 . 0.139 |==================================================================== 3 . 0.139 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 0.426 |==================================================================== 2 . 0.426 |==================================================================== 3 . 0.426 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 0.575 |==================================================================== 2 . 0.575 |==================================================================== 3 . 0.575 |==================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 1.330 |==================================================================== 2 . 1.329 |==================================================================== 3 . 1.330 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 79680.83 |================================================================= 2 . 79528.44 |================================================================ 3 . 80293.19 |================================================================= Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 6068590 |================================================================== 2 . 5980653 |================================================================= 3 . 6065794 |================================================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 9174090 |================================================================== 2 . 9172776 |================================================================== 3 . 9026826 |================================================================= Timed Clash Compilation Time To Compile Seconds < Lower Is Better 1 . 847.89 |=================================================================== 2 . 847.40 |=================================================================== 3 . 846.56 |=================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 165.28 |=================================================================== 2 . 165.49 |=================================================================== 3 . 165.30 |=================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 6.69 |===================================================================== 2 . 6.68 |===================================================================== 3 . 6.66 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 16.20 |==================================================================== 2 . 16.21 |==================================================================== 3 . 16.21 |==================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 100.77 |=================================================================== 2 . 100.77 |=================================================================== 3 . 100.82 |=================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 798.52 |=================================================================== 2 . 798.15 |=================================================================== 3 . 798.42 |=================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 159.89 |=================================================================== 2 . 160.31 |=================================================================== 3 . 160.26 |=================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 0.95 |===================================================================== 2 . 0.95 |===================================================================== 3 . 0.95 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 4196.12 |================================================================== 2 . 4192.35 |================================================================== 3 . 4199.70 |================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 0.95 |===================================================================== 2 . 0.95 |===================================================================== 3 . 0.95 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 4191.73 |================================================================== 2 . 4195.06 |================================================================== 3 . 4196.04 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 0.68 |===================================================================== 2 . 0.68 |===================================================================== 3 . 0.68 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 5834.86 |================================================================== 2 . 5834.11 |================================================================== 3 . 5834.73 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 0.68 |===================================================================== 2 . 0.68 |===================================================================== 3 . 0.68 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 5831.13 |================================================================== 2 . 5831.33 |================================================================== 3 . 5830.97 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 1 . 2691.69 |================================================================== 2 . 2690.82 |================================================================== 3 . 2690.40 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 1 . 1.47 |===================================================================== 2 . 1.47 |===================================================================== 3 . 1.47 |===================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better 1 . 2692.00 |================================================================== 2 . 2687.26 |================================================================== 3 . 2690.66 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better 1 . 1.47 |===================================================================== 2 . 1.47 |===================================================================== 3 . 1.47 |===================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 279280 |=================================================================== 2 . 280611 |=================================================================== 3 . 280977 |=================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 40633 |==================================================================== 2 . 40684 |==================================================================== 3 . 40733 |==================================================================== simdjson 0.7 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.26 |===================================================================== 2 . 0.26 |===================================================================== 3 . 0.26 |===================================================================== simdjson 0.7 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.17 |===================================================================== 2 . 0.17 |===================================================================== 3 . 0.17 |===================================================================== simdjson 0.7 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.24 |================================================================== 2 . 0.24 |================================================================== 3 . 0.25 |===================================================================== simdjson 0.7 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.25 |===================================================================== 2 . 0.25 |===================================================================== 3 . 0.25 |=====================================================================