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 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 |=================================================================== 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 |===================================================================== 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 |==================================================================== OSBench Test: Memory Allocations Ns Per Event < Lower Is Better 1 . 91.62 |==================================================================== 2 . 91.82 |==================================================================== 4 . 91.78 |==================================================================== 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 |====================================================================== 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 |==================================================================== 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 |==================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 24.24 |==================================================================== 2 . 24.29 |==================================================================== 4 . 24.19 |==================================================================== 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 |=========================================================== 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 |================================================================== GPAW 20.1 Input: Carbon Nanotube Seconds < Lower Is Better 1 . 518.24 |=================================================================== 2 . 515.27 |=================================================================== 4 . 517.89 |=================================================================== 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 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 2274229 |================================================================== OpenCV 4.4 Test: DNN - Deep Neural Network ms < Lower Is Better 1 . 21458 |==================================================================== 2 . 20024 |=============================================================== 4 . 21553 |==================================================================== 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 |=============================================================