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
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