AMD Ryzen 7 1700 Eight-Core testing with a MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) and AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 19.10 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 2009269-FI-3300XNNMO11
3300X NN + More
AMD Ryzen 7 1700 Eight-Core testing with a MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) and AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 19.10 via the Phoronix Test Suite.
1:
Processor: AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads), Motherboard: MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Samsung SSD 840, Graphics: AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc2-generic (x86_64) 20200823, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: amdgpu 19.0.1, OpenGL: 4.5 Mesa 19.2.8 (LLVM 9.0.0), Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
2:
Processor: AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads), Motherboard: MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Samsung SSD 840, Graphics: AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc2-generic (x86_64) 20200823, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: amdgpu 19.0.1, OpenGL: 4.5 Mesa 19.2.8 (LLVM 9.0.0), Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
3:
Processor: AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads), Motherboard: MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Samsung SSD 840, Graphics: AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc2-generic (x86_64) 20200823, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: amdgpu 19.0.1, OpenGL: 4.5 Mesa 19.2.8 (LLVM 9.0.0), Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
4:
Processor: AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads), Motherboard: MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Samsung SSD 840, Graphics: AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc2-generic (x86_64) 20200823, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: amdgpu 19.0.1, OpenGL: 4.5 Mesa 19.2.8 (LLVM 9.0.0), Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
MPV
Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only
FPS > Higher Is Better
1 . 558.92 |===================================================================
2 . 559.45 |===================================================================
4 . 558.11 |===================================================================
MPV
Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only
FPS > Higher Is Better
1 . 1496.59 |==================================================================
2 . 1497.78 |==================================================================
4 . 1490.85 |==================================================================
LibRaw 0.20
Post-Processing Benchmark
Mpix/sec > Higher Is Better
1 . 24.24 |====================================================================
2 . 24.29 |====================================================================
4 . 24.19 |====================================================================
LAMMPS Molecular Dynamics Simulator 24Aug2020
Model: 20k Atoms
ns/day > Higher Is Better
1 . 4.571 |====================================================================
2 . 4.557 |====================================================================
4 . 4.510 |===================================================================
LAMMPS Molecular Dynamics Simulator 24Aug2020
Model: Rhodopsin Protein
ns/day > Higher Is Better
1 . 4.377 |==================================================================
2 . 4.381 |==================================================================
4 . 4.490 |====================================================================
GLmark2 2020.04
Resolution: 1280 x 1024
Score > Higher Is Better
1 . 5886 |=====================================================================
2 . 5896 |=====================================================================
4 . 5875 |=====================================================================
GLmark2 2020.04
Resolution: 1920 x 1080
Score > Higher Is Better
1 . 4443 |=====================================================================
2 . 4438 |=====================================================================
4 . 4435 |=====================================================================
Kripke 1.2.4
Throughput FoM > Higher Is Better
1 . 2274229 |==================================================================
InfluxDB 1.8.2
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
1 . 571253.4 |=================================================================
2 . 528243.2 |============================================================
4 . 507255.7 |==========================================================
InfluxDB 1.8.2
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
1 . 897546.8 |=================================================================
2 . 848484.3 |=============================================================
4 . 764198.1 |=======================================================
InfluxDB 1.8.2
Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
1 . 963918.4 |=================================================================
2 . 899150.3 |=============================================================
WebP Image Encode 1.1
Encode Settings: Default
Encode Time - Seconds < Lower Is Better
1 . 1.976 |====================================================================
2 . 1.975 |====================================================================
4 . 1.967 |====================================================================
WebP Image Encode 1.1
Encode Settings: Quality 100
Encode Time - Seconds < Lower Is Better
1 . 2.947 |===================================================================
2 . 2.969 |====================================================================
4 . 2.943 |===================================================================
WebP Image Encode 1.1
Encode Settings: Quality 100, Lossless
Encode Time - Seconds < Lower Is Better
1 . 23.74 |====================================================================
2 . 23.67 |====================================================================
4 . 23.44 |===================================================================
WebP Image Encode 1.1
Encode Settings: Quality 100, Highest Compression
Encode Time - Seconds < Lower Is Better
1 . 9.456 |====================================================================
2 . 9.447 |====================================================================
4 . 9.445 |====================================================================
WebP Image Encode 1.1
Encode Settings: Quality 100, Lossless, Highest Compression
Encode Time - Seconds < Lower Is Better
1 . 49.64 |===================================================================
2 . 50.31 |====================================================================
4 . 50.63 |====================================================================
Mobile Neural Network 2020-09-17
Model: SqueezeNetV1.0
ms < Lower Is Better
1 . 12.50 |====================================================================
2 . 12.28 |===================================================================
4 . 12.45 |====================================================================
Mobile Neural Network 2020-09-17
Model: resnet-v2-50
ms < Lower Is Better
1 . 70.60 |====================================================================
2 . 69.86 |===================================================================
4 . 69.86 |===================================================================
Mobile Neural Network 2020-09-17
Model: MobileNetV2_224
ms < Lower Is Better
1 . 6.843 |===================================================================
2 . 6.873 |===================================================================
4 . 6.940 |====================================================================
Mobile Neural Network 2020-09-17
Model: mobilenet-v1-1.0
ms < Lower Is Better
1 . 13.39 |====================================================================
2 . 13.43 |====================================================================
4 . 13.37 |====================================================================
Mobile Neural Network 2020-09-17
Model: inception-v3
ms < Lower Is Better
1 . 75.26 |====================================================================
2 . 73.80 |===================================================================
4 . 73.97 |===================================================================
NCNN 20200916
Target: CPU - Model: squeezenet
ms < Lower Is Better
1 . 30.75 |====================================================================
2 . 30.87 |====================================================================
4 . 30.57 |===================================================================
NCNN 20200916
Target: CPU - Model: mobilenet
ms < Lower Is Better
1 . 37.46 |===================================================================
2 . 38.03 |====================================================================
4 . 37.54 |===================================================================
NCNN 20200916
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 10.77 |==================================================================
2 . 10.77 |==================================================================
4 . 11.09 |====================================================================
NCNN 20200916
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 9.34 |===================================================================
2 . 9.67 |=====================================================================
4 . 9.57 |====================================================================
NCNN 20200916
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 7.43 |=====================================================================
2 . 7.38 |=====================================================================
4 . 7.37 |====================================================================
NCNN 20200916
Target: CPU - Model: mnasnet
ms < Lower Is Better
1 . 9.91 |=====================================================================
2 . 9.69 |===================================================================
4 . 9.93 |=====================================================================
NCNN 20200916
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 14.12 |====================================================================
2 . 14.12 |====================================================================
4 . 13.75 |==================================================================
NCNN 20200916
Target: CPU - Model: blazeface
ms < Lower Is Better
1 . 2.86 |============================================================
2 . 2.74 |=========================================================
4 . 3.29 |=====================================================================
NCNN 20200916
Target: CPU - Model: googlenet
ms < Lower Is Better
1 . 31.08 |====================================================================
2 . 29.05 |================================================================
4 . 29.02 |===============================================================
NCNN 20200916
Target: CPU - Model: vgg16
ms < Lower Is Better
1 . 111.92 |===================================================================
2 . 111.22 |===================================================================
4 . 110.78 |==================================================================
NCNN 20200916
Target: CPU - Model: resnet18
ms < Lower Is Better
1 . 24.09 |==================================================================
2 . 23.57 |================================================================
4 . 24.98 |====================================================================
NCNN 20200916
Target: CPU - Model: alexnet
ms < Lower Is Better
1 . 29.08 |===================================================================
2 . 29.58 |====================================================================
4 . 29.73 |====================================================================
NCNN 20200916
Target: CPU - Model: resnet50
ms < Lower Is Better
1 . 56.22 |====================================================================
2 . 52.76 |================================================================
4 . 56.21 |====================================================================
NCNN 20200916
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 50.54 |====================================================================
2 . 50.46 |====================================================================
4 . 50.44 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: squeezenet
ms < Lower Is Better
1 . 18.86 |====================================================================
2 . 18.83 |====================================================================
4 . 18.86 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
1 . 17.86 |====================================================================
2 . 17.84 |====================================================================
4 . 17.87 |====================================================================
NCNN 20200916
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 8.12 |=====================================================================
2 . 8.13 |=====================================================================
4 . 8.10 |=====================================================================
NCNN 20200916
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 9.76 |=====================================================================
2 . 9.76 |=====================================================================
4 . 9.78 |=====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 5.68 |=====================================================================
2 . 5.65 |=====================================================================
4 . 5.67 |=====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
1 . 8.99 |=====================================================================
2 . 8.96 |=====================================================================
4 . 8.96 |=====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 19.33 |====================================================================
2 . 19.18 |===================================================================
4 . 19.36 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
1 . 1.78 |=====================================================================
2 . 1.73 |===================================================================
4 . 1.74 |===================================================================
NCNN 20200916
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
1 . 20.77 |====================================================================
2 . 20.76 |====================================================================
4 . 20.76 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
1 . 66.60 |====================================================================
2 . 66.55 |====================================================================
4 . 66.55 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
1 . 11.55 |====================================================================
2 . 11.61 |====================================================================
4 . 11.57 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
1 . 12.02 |====================================================================
2 . 11.99 |====================================================================
4 . 12.04 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
1 . 28.59 |====================================================================
2 . 28.45 |====================================================================
4 . 28.46 |====================================================================
NCNN 20200916
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 28.52 |====================================================================
2 . 28.44 |====================================================================
4 . 28.61 |====================================================================
TNN 0.2.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
1 . 333.94 |===================================================================
2 . 333.41 |===================================================================
4 . 332.49 |===================================================================
TNN 0.2.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
1 . 304.72 |===================================================================
2 . 306.24 |===================================================================
4 . 306.05 |===================================================================
OpenCV 4.4
Test: DNN - Deep Neural Network
ms < Lower Is Better
1 . 21458 |====================================================================
2 . 20024 |===============================================================
4 . 21553 |====================================================================
OSBench
Test: Memory Allocations
Ns Per Event < Lower Is Better
1 . 91.62 |====================================================================
2 . 91.82 |====================================================================
4 . 91.78 |====================================================================
RealSR-NCNN 20200818
Scale: 4x - TAA: No
Seconds < Lower Is Better
1 . 58.45 |====================================================================
2 . 58.41 |====================================================================
4 . 58.39 |====================================================================
RealSR-NCNN 20200818
Scale: 4x - TAA: Yes
Seconds < Lower Is Better
1 . 443.81 |===================================================================
2 . 443.83 |===================================================================
4 . 443.84 |===================================================================
Incompact3D 2020-09-17
Input: Cylinder
Seconds < Lower Is Better
1 . 532.99 |==================================================================
2 . 532.59 |==================================================================
4 . 537.42 |===================================================================
Monte Carlo Simulations of Ionised Nebulae 2019-03-24
Input: Dust 2D tau100.0
Seconds < Lower Is Better
1 . 283 |======================================================================
2 . 283 |======================================================================
4 . 283 |======================================================================
dcraw
RAW To PPM Image Conversion
Seconds < Lower Is Better
1 . 53.81 |===================================================================
2 . 53.81 |===================================================================
4 . 54.36 |====================================================================
eSpeak-NG Speech Engine 20200907
Text-To-Speech Synthesis
Seconds < Lower Is Better
1 . 41.48 |=================================================================
2 . 43.64 |====================================================================
4 . 38.14 |===========================================================
GPAW 20.1
Input: Carbon Nanotube
Seconds < Lower Is Better
1 . 518.24 |===================================================================
2 . 515.27 |===================================================================
4 . 517.89 |===================================================================
OSBench
Test: Create Files
us Per Event < Lower Is Better
1 . 19.15 |====================================================================
2 . 19.08 |====================================================================
4 . 18.78 |===================================================================
OSBench
Test: Create Threads
us Per Event < Lower Is Better
1 . 16.57 |====================================================================
2 . 16.28 |===================================================================
4 . 16.25 |===================================================================
OSBench
Test: Launch Programs
us Per Event < Lower Is Better
1 . 57.04 |================================================================
2 . 56.00 |===============================================================
4 . 60.72 |====================================================================
OSBench
Test: Create Processes
us Per Event < Lower Is Better
1 . 35.31 |===================================================================
2 . 34.88 |===================================================================
4 . 35.65 |====================================================================