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","2","3" Processor,,AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads),AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads),AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads) Motherboard,,MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS),MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS),MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) Chipset,,AMD 17h,AMD 17h,AMD 17h Memory,,32GB,32GB,32GB Disk,,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB,Samsung SSD 970 EVO 250GB Graphics,,AMD FirePro V4900 1GB,AMD FirePro V4900 1GB,AMD FirePro V4900 1GB Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220 Monitor,,VA2431,VA2431,VA2431 Network,,2 x Intel I211 + Intel-AC 9260,2 x Intel I211 + Intel-AC 9260,2 x Intel I211 + Intel-AC 9260 OS,,Debian 10,Debian 10,Debian 10 Kernel,,5.8.1-050801-generic (x86_64),5.8.1-050801-generic (x86_64),5.8.1-050801-generic (x86_64) Desktop,,GNOME Shell 3.30.2,GNOME Shell 3.30.2,GNOME Shell 3.30.2 Display Server,,X Server 1.20.4 + Wayland,X Server 1.20.4 + Wayland,X Server 1.20.4 + Wayland Display Driver,,modesetting 1.20.4,modesetting 1.20.4,modesetting 1.20.4 OpenGL,,3.3 Mesa 18.3.6 (LLVM 7.0.1),3.3 Mesa 18.3.6 (LLVM 7.0.1),3.3 Mesa 18.3.6 (LLVM 7.0.1) Compiler,,GCC 8.3.0,GCC 8.3.0,GCC 8.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "Compile Bench - Test: Compile (MB/s)",HIB,1324.64,1372.50,1313.86 "Compile Bench - Test: Initial Create (MB/s)",HIB,490.61,480.91,485.83 "Compile Bench - Test: Read Compiled Tree (MB/s)",HIB,3103.11,3091.58,3127.00 "Timed HMMer Search - Pfam Database Search (sec)",LIB,113.582,113.554,113.396 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,10.984,11.155,11.228 "simdjson - Throughput Test: Kostya (GB/s)",HIB,0.65,0.66,0.65 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.51,0.51,0.51 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.68,0.69,0.69 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.71,0.7,0.71 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,623,641,623 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.06467,4.04984,4.07444 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.59938,5.53065,5.51997 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.90036,2.90367,2.90057 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.41640,1.42031,1.41934 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,10.7684,10.7728,10.7711 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,4.85854,4.84432,4.86747 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,7.50779,7.55666,7.50929 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13.1832,13.2126,13.1665 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8.03719,8.11192,7.98251 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.43405,5.34293,5.35024 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,4262.31,4267.84,4265.04 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2248.59,2247.28,2245.99 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4277.07,4278.23,4282.28 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2243.58,2240.26,2239.28 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,2.62113,2.63024,2.62189 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4285.51,4272.92,4279.94 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2247.12,2247.89,2248.42 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.30378,2.27469,2.32912 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,624193.042150,619247.819153,618875.813638 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,42.706,43.712,44.339 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,8.87,8.99,8.96 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,68.331,68.648,69.613 "PHPBench - PHP Benchmark Suite (Score)",HIB,591512,586664,580348