AMD TR 2920X Linux

AMD Ryzen Threadripper 2920X 12-Core testing with a Gigabyte X399 AORUS Gaming 7 (F11e BIOS) and eVGA NVIDIA NV137 4GB on Ubuntu 18.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1906246-PTS-AMDTR29220
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Threadripper 2920X
June 23 2019
  6 Hours, 53 Minutes
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AMD TR 2920X Linux AMD Ryzen Threadripper 2920X 12-Core testing with a Gigabyte X399 AORUS Gaming 7 (F11e BIOS) and eVGA NVIDIA NV137 4GB on Ubuntu 18.04 via the Phoronix Test Suite. ,,"Threadripper 2920X" Processor,,AMD Ryzen Threadripper 2920X 12-Core @ 3.50GHz (12 Cores / 24 Threads) Motherboard,,Gigabyte X399 AORUS Gaming 7 (F11e BIOS) Chipset,,AMD 17h Memory,,16384MB Disk,,240GB Force MP510 + 120GB Force MP500 Graphics,,eVGA NVIDIA NV137 4GB Audio,,Realtek ALC1220 Monitor,,ASUS VP28U Network,,Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275 OS,,Ubuntu 18.04 Kernel,,4.19.0-041900-generic (x86_64) Desktop,,GNOME Shell 3.28.3 Display Server,,X Server 1.19.6 Display Driver,,modesetting 1.19.6 OpenGL,,4.3 Mesa 18.0.5 Compiler,,GCC 7.3.0 File-System,,ext4 Screen Resolution,,3840x2160 ,,"Threadripper 2920X" "SVT-AV1 - 1080p 8-bit YUV To AV1 Video Encode (FPS)",HIB,33.80 "VP9 libvpx Encoding - vpxenc VP9 1080p Video Encode (FPS)",HIB,138.59 "IndigoBench - Scene: Bedroom (M samples/s)",HIB,1.70 "IndigoBench - Scene: Supercar (M samples/s)",HIB,3.63 "John The Ripper - Test: Blowfish (Real C/S)",HIB,27037 "John The Ripper - Test: MD5 (Real C/S)",HIB,855833 "NGINX Benchmark - Static Web Page Serving (Reqs/sec)",HIB,30180.32 "Apache Benchmark - Static Web Page Serving (Reqs/sec)",HIB,25252.94 "Selenium - Benchmark: Jetstream - Browser: Firefox (Score)",HIB,185.38 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Normal Load - Mode: Read Only (TPS)",HIB,432356.73 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Normal Load - Mode: Read Write (TPS)",HIB,21146.40 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Single Thread - Mode: Read Only (TPS)",HIB,29528.05 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Single Thread - Mode: Read Write (TPS)",HIB,1136.09 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Only (TPS)",HIB,436923.83 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Write (TPS)",HIB,20648.68 "Apache Siege - Concurrent Users: 10 (Transactions/sec)",HIB,25041.98 "Apache Siege - Concurrent Users: 50 (Transactions/sec)",HIB,24888.75 "Apache Siege - Concurrent Users: 100 (Transactions/sec)",HIB,22670.83 "Apache Siege - Concurrent Users: 200 (Transactions/sec)",HIB,22611.65 "Apache Siege - Concurrent Users: 250 (Transactions/sec)",HIB,35673.52 "ctx_clock - Context Switch Time (Clocks)",LIB,175 "Renaissance - Test: Scala Dotty (ms)",LIB,6522.49 "Renaissance - Test: Apache Spark ALS (ms)",LIB,6454.55 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,4308.11 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,22180.48 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,20976.97 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,7366.48 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,14843.76 "MKL-DNN - Harness: IP Batch 1D - Data Type: f32 (ms)",LIB,14.36 "MKL-DNN - Harness: IP Batch All - Data Type: f32 (ms)",LIB,174.55 "MKL-DNN - Harness: IP Batch 1D - Data Type: u8s8u8s32 (ms)",LIB,54.74 "MKL-DNN - Harness: IP Batch 1D - Data Type: u8s8f32s32 (ms)",LIB,54.74 "MKL-DNN - Harness: IP Batch All - Data Type: u8s8u8s32 (ms)",LIB,608.89 "MKL-DNN - Harness: IP Batch All - Data Type: u8s8f32s32 (ms)",LIB,614.60 "MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: f32 (ms)",LIB,23.33 "MKL-DNN - Harness: Convolution Batch conv_all - Data Type: f32 (ms)",LIB,3917.84 "MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 (ms)",LIB,22.95 "MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 (ms)",LIB,9.50 "MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: f32 (ms)",LIB,484.67 "MKL-DNN - Harness: Deconvolution Batch deconv_all - Data Type: f32 (ms)",LIB,5754.33 "MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 (ms)",LIB,7644.85 "MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 (ms)",LIB,7638.65 "MKL-DNN - Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 (ms)",LIB,39375.00 "MKL-DNN - Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 (ms)",LIB,39053.70 "MKL-DNN - Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 (ms)",LIB,215.90 "MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 (ms)",LIB,3436.87 "MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 (ms)",LIB,6117.86 "MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 (ms)",LIB,4225.45 "MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 (ms)",LIB,3423.59 "MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 (ms)",LIB,6095.41 "MKL-DNN - Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 (ms)",LIB,29785.53 "MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 (ms)",LIB,4217.91 "MKL-DNN - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 (ms)",LIB,1847.85 "MKL-DNN - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 (ms)",LIB,1814.92 "Core-Latency - Average Latency Between CPU Cores (ns)",LIB,357.81 "t-test1 - Threads: 1 (sec)",LIB,28.17 "t-test1 - Threads: 2 (sec)",LIB,9.54 "CP2K Molecular Dynamics - Fayalite-FIST Data (sec)",LIB,712.14 "Primesieve - 1e12 Prime Number Generation (sec)",LIB,17.17 "XZ Compression - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 (sec)",LIB,26.88 "Tachyon - Total Time (sec)",LIB,3.78 "GIMP - Test: resize (sec)",LIB,7.34 "GIMP - Test: rotate (sec)",LIB,15.89 "GIMP - Test: auto-levels (sec)",LIB,15.42 "GIMP - Test: unsharp-mask (sec)",LIB,34.75