TR 2950X Debian Sep

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009250-PTS-TR2950XD41
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C/C++ Compiler Tests 5 Tests
Compression Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 4 Tests
Database Test Suite 2 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 9 Tests
Imaging 2 Tests
Machine Learning 3 Tests
Molecular Dynamics 3 Tests
MPI Benchmarks 4 Tests
Multi-Core 6 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 2 Tests
Scientific Computing 6 Tests
Server 2 Tests
Server CPU Tests 3 Tests

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Linux 5.8.1
September 24 2020
  10 Hours
Linux 5.8.1 Repeat
September 24 2020
  18 Hours
3
September 24 2020
  11 Hours, 52 Minutes
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  13 Hours, 17 Minutes

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TR 2950X Debian Sep 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. ,,"Linux 5.8.1","Linux 5.8.1 Repeat","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,,DELL S2409W,DELL S2409W,DELL S2409W 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 ,,"Linux 5.8.1","Linux 5.8.1 Repeat","3" "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,14.989,14.297,13.709 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,,0.110,0.118 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,,453461,423148 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,9.87,10.23,9.56 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,56.417,54.154,54.299 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,,111.676,116.332 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,,896,861 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,30.344,31.365,30.787 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,,298.881,308.659 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Write (TPS)",HIB,,837,811 "NCNN - Target: CPU - Model: resnet18_int8 (ms)",LIB,25.96,26.68,26.31 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,10.302,10.072,10.263 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.57,3.60,3.52 "NCNN - Target: CPU - Model: googlenet_int8 (ms)",LIB,74.20,72.80,73.76 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,10.380,10.539,10.556 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.04,2.05,2.07 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,10.725,10.816,10.873 "NCNN - Target: CPU - Model: mobilenetv2_yolov3 (ms)",LIB,24.38,24.30,24.63 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.353,2.325,2.340 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,3.33,3.37,3.34 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,7.505,7.420,7.445 "NCNN - Target: CPU - Model: resnet50_int8 (ms)",LIB,89.18,88.18,88.40 "GPAW - Input: Carbon Nanotube (sec)",LIB,229.016,226.466,227.923 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,50.366,50.346,50.880 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,18.264,18.083,18.271 "System GZIP Decompression - (sec)",LIB,2.830,2.801,2.805 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,18.28,18.26,18.10 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,7.502,7.431,7.452 "NCNN - Target: CPU - Model: vgg16_int8 (ms)",LIB,111.97,112.52,113.01 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,,0.222,0.224 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,,450809,446827 "Kripke - (Throughput FoM)",HIB,28173040,28413557,28230597 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,38.381,38.058,38.157 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,32.11,32.35,32.36 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,,0.163,0.164 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.32833,1.32046,1.32051 "Incompact3D - Input: Cylinder (sec)",LIB,251.005870,252.287399,250.801865 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,,0.591,0.594 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,29.26,29.19,29.12 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,4675.7,4698.0,4677.5 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 250 - Mode: Read Only (TPS)",HIB,,423186,421278 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,,322022,320822 "Timed LLVM Compilation - Time To Compile (sec)",LIB,428.712,427.217,427.276 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,,0.886,0.889 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,,282311,281363 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,,0.311,0.312 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1146722.3,1145757.3,1143082.4 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,,0.330,0.331 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 100 - Mode: Read Only (TPS)",HIB,,303601,302709 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1198725.7,1196024.0,1199034.3 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 50 - Mode: Read Only (TPS)",HIB,,306260,305674 "InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1206605.3,1206443.9,1208112.7 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 250 - Mode: Read Only (TPS)",HIB,,260353,260675 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,,322393,322772 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,,0.961,0.960 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,,0.155,0.155 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.27,0.27,0.27 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,42.2,42.2,42.2 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,206,206,206 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,,53.217,50.674 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 250 - Mode: Read Write (TPS)",HIB,,4721,5003 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,,25.291,25.451 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 100 - Mode: Read Write (TPS)",HIB,,3981,3946 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,,14.087,15.647 "PostgreSQL pgbench - Scaling Factor: 1000 - Clients: 50 - Mode: Read Write (TPS)",HIB,,3601,3211 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,,22.825,21.666 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,,11065,11620 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,,9.871,9.367 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,,10209,10732 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,,5.214,5.618 "PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,,9620,8975 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,,55.971,56.051 "PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,,899,893 "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,7619,7160,7355 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,13.21,14.63,13.67 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,10.10,10.35,10.98 "NCNN - Target: CPU - Model: mobilenet_v3 (ms)",LIB,9.68,10.23,9.99 "NCNN - Target: CPU - Model: squeezenet_int8 (ms)",LIB,34.66,35.82,34.06