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
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"
"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_all - Data Type: f32 (ms)",LIB,3917.84
"MKL-DNN - Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 (ms)",LIB,29785.53
"MKL-DNN - Harness: Deconvolution Batch deconv_all - Data Type: f32 (ms)",LIB,5754.33
"PostgreSQL pgbench - Scaling: Buffer Test - Test: Normal Load - Mode: Read Write (TPS)",HIB,21146.40
"PostgreSQL pgbench - Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Write (TPS)",HIB,20648.68
"Core-Latency - Average Latency Between CPU Cores (ns)",LIB,357.81
"PostgreSQL pgbench - Scaling: Buffer Test - Test: Single Thread - Mode: Read Write (TPS)",HIB,1136.09
"Renaissance - Test: Savina Reactors.IO (ms)",LIB,22180.48
"CP2K Molecular Dynamics - Fayalite-FIST Data (sec)",LIB,712.14
"NGINX Benchmark - Static Web Page Serving (Reqs/sec)",HIB,30180.32
"PostgreSQL pgbench - Scaling: Buffer Test - Test: Single Thread - Mode: Read Only (TPS)",HIB,29528.05
"Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,14843.76
"Selenium - Benchmark: Jetstream - Browser: Firefox (Score)",HIB,185.38
"Apache Siege - Concurrent Users: 250 (Transactions/sec)",HIB,35673.52
"MKL-DNN - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 (ms)",LIB,1847.85
"Apache Siege - Concurrent Users: 200 (Transactions/sec)",HIB,22611.65
"Renaissance - Test: Apache Spark ALS (ms)",LIB,6454.55
"MKL-DNN - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 (ms)",LIB,1814.92
"VP9 libvpx Encoding - vpxenc VP9 1080p Video Encode (FPS)",HIB,138.59
"MKL-DNN - Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 (ms)",LIB,215.90
"Renaissance - Test: Apache Spark Bayes (ms)",LIB,4308.11
"PostgreSQL pgbench - Scaling: Buffer Test - Test: Normal Load - Mode: Read Only (TPS)",HIB,432356.73
"PostgreSQL pgbench - Scaling: Buffer Test - Test: Heavy Contention - Mode: Read Only (TPS)",HIB,436923.83
"Renaissance - Test: Apache Spark PageRank (ms)",LIB,20976.97
"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
"IndigoBench - Scene: Bedroom (M samples/s)",HIB,1.70
"IndigoBench - Scene: Supercar (M samples/s)",HIB,3.63
"John The Ripper - Test: MD5 (Real C/S)",HIB,855833
"Apache Siege - Concurrent Users: 100 (Transactions/sec)",HIB,22670.83
"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: IP Batch All - Data Type: f32 (ms)",LIB,174.55
"Apache Benchmark - Static Web Page Serving (Reqs/sec)",HIB,25252.94
"Renaissance - Test: In-Memory Database Shootout (ms)",LIB,7366.48
"MKL-DNN - Harness: Convolution Batch conv_3d - Data Type: f32 (ms)",LIB,23.33
"MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 (ms)",LIB,6117.86
"MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 (ms)",LIB,6095.41
"GIMP - Test: unsharp-mask (sec)",LIB,34.75
"MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 (ms)",LIB,3423.59
"MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 (ms)",LIB,3436.87
"MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 (ms)",LIB,4225.45
"John The Ripper - Test: Blowfish (Real C/S)",HIB,27037
"MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 (ms)",LIB,4217.91
"t-test1 - Threads: 1 (sec)",LIB,28.17
"XZ Compression - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 (sec)",LIB,26.88
"MKL-DNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 (ms)",LIB,22.95
"Apache Siege - Concurrent Users: 50 (Transactions/sec)",HIB,24888.75
"Renaissance - Test: Scala Dotty (ms)",LIB,6522.49
"Primesieve - 1e12 Prime Number Generation (sec)",LIB,17.17
"MKL-DNN - Harness: Convolution Batch conv_alexnet - Data Type: f32 (ms)",LIB,484.67
"GIMP - Test: rotate (sec)",LIB,15.89
"GIMP - Test: auto-levels (sec)",LIB,15.42
"MKL-DNN - Harness: IP Batch 1D - Data Type: u8s8f32s32 (ms)",LIB,54.74
"MKL-DNN - Harness: IP Batch 1D - Data Type: u8s8u8s32 (ms)",LIB,54.74
"MKL-DNN - Harness: IP Batch 1D - Data Type: f32 (ms)",LIB,14.36
"t-test1 - Threads: 2 (sec)",LIB,9.54
"GIMP - Test: resize (sec)",LIB,7.34
"SVT-AV1 - 1080p 8-bit YUV To AV1 Video Encode (FPS)",HIB,33.80
"Apache Siege - Concurrent Users: 10 (Transactions/sec)",HIB,25041.98
"Tachyon - Total Time (sec)",LIB,3.78
"MKL-DNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 (ms)",LIB,9.50
"ctx_clock - Context Switch Time (Clocks)",LIB,175