Xeon E3 December Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: ASUS P10S-M WS (4401 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: Intel HD P630 3GB (1150MHz), Audio: Realtek ALC1150, Monitor: VA2431, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201007-generic (x86_64) 20201006, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: ASUS P10S-M WS (4401 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: Intel HD P630 3GB (1150MHz), Audio: Realtek ALC1150, Monitor: VA2431, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201007-generic (x86_64) 20201006, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: ASUS P10S-M WS (4401 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: Intel HD P630 3GB (1150MHz), Audio: Realtek ALC1150, Monitor: VA2431, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201007-generic (x86_64) 20201006, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 2.865 |=================================================================== 2 . 2.820 |================================================================== 3 . 2.918 |==================================================================== Compile Bench 0.6 Test: Initial Create MB/s > Higher Is Better 1 . 473.52 |================================================================== 2 . 484.30 |=================================================================== 3 . 482.68 |=================================================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 13158267 |================================================================= 2 . 12875424 |================================================================ 3 . 13017425 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 10.45 |==================================================================== 2 . 10.26 |=================================================================== 3 . 10.28 |=================================================================== Compile Bench 0.6 Test: Compile MB/s > Higher Is Better 1 . 1529.81 |================================================================== 2 . 1539.37 |================================================================== 3 . 1514.90 |================================================================= rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.372 |=================================================================== 2 . 0.378 |==================================================================== 3 . 0.377 |==================================================================== Apache Siege 2.4.29 Concurrent Users: 500 Transactions Per Second > Higher Is Better 1 . 38677.45 |================================================================= 2 . 38477.40 |================================================================= 3 . 38076.76 |================================================================ Apache Siege 2.4.29 Concurrent Users: 250 Transactions Per Second > Higher Is Better 1 . 38590.79 |================================================================= 2 . 38026.57 |================================================================ 3 . 38218.54 |================================================================ Apache Siege 2.4.29 Concurrent Users: 100 Transactions Per Second > Higher Is Better 1 . 40012.34 |================================================================= 2 . 40225.75 |================================================================= 3 . 39651.46 |================================================================ OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 1 . 3219.39 |================================================================== 2 . 3182.23 |================================================================= 3 . 3228.31 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 0.80 |===================================================================== 2 . 0.79 |==================================================================== 3 . 0.80 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 0.81 |===================================================================== 2 . 0.80 |==================================================================== 3 . 0.80 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 155626.05 |=============================================================== 2 . 156356.20 |================================================================ 3 . 157395.24 |================================================================ SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 68.23 |==================================================================== 2 . 68.01 |=================================================================== 3 . 68.72 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 1.056 |==================================================================== 2 . 1.046 |=================================================================== 3 . 1.056 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 1.379 |==================================================================== 2 . 1.387 |==================================================================== 3 . 1.375 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 9.81249 |================================================================= 2 . 9.89301 |================================================================== 3 . 9.81157 |================================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 4875.64 |================================================================= 2 . 4915.23 |================================================================== 3 . 4908.31 |================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 1.32 |==================================================================== 2 . 1.32 |==================================================================== 3 . 1.33 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 1.32 |==================================================================== 2 . 1.32 |==================================================================== 3 . 1.33 |===================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 11.43 |==================================================================== 2 . 11.40 |==================================================================== 3 . 11.34 |=================================================================== Apache Siege 2.4.29 Concurrent Users: 200 Transactions Per Second > Higher Is Better 1 . 38755.72 |================================================================= 2 . 38603.43 |================================================================= 3 . 38874.50 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6.84973 |================================================================== 2 . 6.81526 |================================================================== 3 . 6.80701 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.45968 |================================================================== 2 . 7.41629 |================================================================== 3 . 7.42585 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better 1 . 3205.61 |================================================================== 2 . 3211.68 |================================================================== 3 . 3223.23 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.76668 |================================================================== 2 . 4.78278 |================================================================== 3 . 4.75676 |================================================================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 8639587 |================================================================== 2 . 8644171 |================================================================== 3 . 8597354 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 4847.27 |================================================================== 2 . 4870.64 |================================================================== 3 . 4871.41 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 18.32 |==================================================================== 2 . 18.39 |==================================================================== 3 . 18.30 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 3022.01 |================================================================== 2 . 3007.78 |================================================================== 3 . 3008.32 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6.36890 |================================================================== 2 . 6.39029 |================================================================== 3 . 6.36363 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 13.23 |==================================================================== 2 . 13.29 |==================================================================== 3 . 13.27 |==================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 8.47 |===================================================================== 2 . 8.47 |===================================================================== 3 . 8.50 |===================================================================== Apache Siege 2.4.29 Concurrent Users: 50 Transactions Per Second > Higher Is Better 1 . 41017.25 |================================================================= 2 . 41152.76 |================================================================= 3 . 41107.60 |================================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.88626 |================================================================== 2 . 2.89325 |================================================================== 3 . 2.89555 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 11.19 |==================================================================== 2 . 11.22 |==================================================================== 3 . 11.22 |==================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 6789.73 |================================================================== 2 . 6770.45 |================================================================== 3 . 6771.85 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 18.09 |==================================================================== 2 . 18.10 |==================================================================== 3 . 18.14 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 3017.52 |================================================================== 2 . 3009.72 |================================================================== 3 . 3010.36 |================================================================== Apache Siege 2.4.29 Concurrent Users: 10 Transactions Per Second > Higher Is Better 1 . 38119.56 |================================================================= 2 . 38216.69 |================================================================= 3 . 38216.69 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.36937 |================================================================== 2 . 3.37141 |================================================================== 3 . 3.37756 |================================================================== Timed Clash Compilation Time To Compile Seconds < Lower Is Better 1 . 466.71 |=================================================================== 2 . 466.49 |=================================================================== 3 . 465.75 |=================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6787.99 |================================================================== 2 . 6774.75 |================================================================== 3 . 6774.26 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3592.40 |================================================================== 2 . 3588.91 |================================================================== 3 . 3595.75 |================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 114.31 |=================================================================== 2 . 114.27 |=================================================================== 3 . 114.18 |=================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6775.87 |================================================================== 2 . 6772.06 |================================================================== 3 . 6769.14 |================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 10.37 |==================================================================== 2 . 10.37 |==================================================================== 3 . 10.38 |==================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 117.00 |=================================================================== 2 . 116.93 |=================================================================== 3 . 117.03 |=================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3592.95 |================================================================== 2 . 3594.10 |================================================================== 3 . 3591.71 |================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 524.58 |=================================================================== 2 . 524.48 |=================================================================== 3 . 524.27 |=================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 65.95 |==================================================================== 2 . 65.96 |==================================================================== 3 . 65.94 |==================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better 1 . 1.23 |===================================================================== 2 . 1.23 |===================================================================== 3 . 1.23 |===================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 1 . 1.23 |===================================================================== 2 . 1.23 |===================================================================== 3 . 1.23 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.63 |===================================================================== 2 . 0.63 |===================================================================== 3 . 0.63 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.61 |===================================================================== 2 . 0.61 |===================================================================== 3 . 0.61 |===================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.41 |===================================================================== 2 . 0.41 |===================================================================== 3 . 0.41 |===================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.66 |===================================================================== 2 . 0.66 |===================================================================== 3 . 0.66 |===================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3592.06 |======================================================= 2 . 4305.98 |================================================================== 3 . 3590.09 |======================================================= Compile Bench 0.6 Test: Read Compiled Tree MB/s > Higher Is Better 1 . 2257.82 |===================================================== 2 . 2813.01 |================================================================== 3 . 2774.39 |=================================================================