TR 2950X Dec AMD Ryzen Threadripper 2950X 16-Core testing with a MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) and AMD FirePro V4900 1GB on Debian 10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: AMD FirePro V4900 1GB, Audio: Realtek ALC1220, Monitor: VA2431, Network: 2 x Intel I211 + Intel-AC 9260 OS: Debian 10, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4 + Wayland, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 18.3.6 (LLVM 7.0.1), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: AMD FirePro V4900 1GB, Audio: Realtek ALC1220, Monitor: VA2431, Network: 2 x Intel I211 + Intel-AC 9260 OS: Debian 10, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4 + Wayland, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 18.3.6 (LLVM 7.0.1), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: AMD FirePro V4900 1GB, Audio: Realtek ALC1220, Monitor: VA2431, Network: 2 x Intel I211 + Intel-AC 9260 OS: Debian 10, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.30.2, Display Server: X Server 1.20.4 + Wayland, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 18.3.6 (LLVM 7.0.1), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080 Compile Bench 0.6 Test: Compile MB/s > Higher Is Better 1 . 1324.64 |================================================================ 2 . 1372.50 |================================================================== 3 . 1313.86 |=============================================================== Compile Bench 0.6 Test: Initial Create MB/s > Higher Is Better 1 . 490.61 |=================================================================== 2 . 480.91 |================================================================== 3 . 485.83 |================================================================== Compile Bench 0.6 Test: Read Compiled Tree MB/s > Higher Is Better 1 . 3103.11 |================================================================= 2 . 3091.58 |================================================================= 3 . 3127.00 |================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 113.58 |=================================================================== 2 . 113.55 |=================================================================== 3 . 113.40 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 10.98 |================================================================== 2 . 11.16 |==================================================================== 3 . 11.23 |==================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.65 |==================================================================== 2 . 0.66 |===================================================================== 3 . 0.65 |==================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.51 |===================================================================== 2 . 0.51 |===================================================================== 3 . 0.51 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.68 |==================================================================== 2 . 0.69 |===================================================================== 3 . 0.69 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.71 |===================================================================== 2 . 0.70 |==================================================================== 3 . 0.71 |===================================================================== GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better 1 . 623 |==================================================================== 2 . 641 |====================================================================== 3 . 623 |==================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.06467 |================================================================== 2 . 4.04984 |================================================================== 3 . 4.07444 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.59938 |================================================================== 2 . 5.53065 |================================================================= 3 . 5.51997 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.90036 |================================================================== 2 . 2.90367 |================================================================== 3 . 2.90057 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.41640 |================================================================== 2 . 1.42031 |================================================================== 3 . 1.41934 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.77 |==================================================================== 2 . 10.77 |==================================================================== 3 . 10.77 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.85854 |================================================================== 2 . 4.84432 |================================================================== 3 . 4.86747 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.50779 |================================================================== 2 . 7.55666 |================================================================== 3 . 7.50929 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 13.18 |==================================================================== 2 . 13.21 |==================================================================== 3 . 13.17 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8.03719 |================================================================= 2 . 8.11192 |================================================================== 3 . 7.98251 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.43405 |================================================================== 2 . 5.34293 |================================================================= 3 . 5.35024 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4262.31 |================================================================== 2 . 4267.84 |================================================================== 3 . 4265.04 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2248.59 |================================================================== 2 . 2247.28 |================================================================== 3 . 2245.99 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4277.07 |================================================================== 2 . 4278.23 |================================================================== 3 . 4282.28 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2243.58 |================================================================== 2 . 2240.26 |================================================================== 3 . 2239.28 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.62113 |================================================================== 2 . 2.63024 |================================================================== 3 . 2.62189 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4285.51 |================================================================== 2 . 4272.92 |================================================================== 3 . 4279.94 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2247.12 |================================================================== 2 . 2247.89 |================================================================== 3 . 2248.42 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.30378 |================================================================= 2 . 2.27469 |================================================================ 3 . 2.32912 |================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 624193.04 |================================================================ 2 . 619247.82 |=============================================================== 3 . 618875.81 |=============================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 42.71 |================================================================== 2 . 43.71 |=================================================================== 3 . 44.34 |==================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 8.87 |==================================================================== 2 . 8.99 |===================================================================== 3 . 8.96 |===================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 68.33 |=================================================================== 2 . 68.65 |=================================================================== 3 . 69.61 |==================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 591512 |=================================================================== 2 . 586664 |================================================================== 3 . 580348 |==================================================================