2700X Friday AMD Ryzen 7 2700X Eight-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL S2409W, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL S2409W, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL S2409W, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 65.02 |==================================================================== 2 . 64.96 |==================================================================== 3 . 64.93 |==================================================================== RealSR-NCNN 20200818 Scale: 4x - TAA: Yes Seconds < Lower Is Better 1 . 501.13 |=================================================================== 2 . 501.29 |=================================================================== 3 . 501.29 |=================================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better 1 . 607.47 |=================================================================== 2 . 605.97 |=================================================================== 3 . 606.24 |=================================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better 1 . 1829.67 |================================================================== 2 . 1826.61 |================================================================== 3 . 1823.26 |================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 26.80 |==================================================================== 2 . 26.33 |=================================================================== 3 . 26.43 |=================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 29.90 |==================================================================== 2 . 29.65 |=================================================================== 3 . 29.45 |=================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 9.23 |===================================================================== 2 . 9.23 |===================================================================== 3 . 9.11 |==================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 7.90 |================================================================== 2 . 8.29 |===================================================================== 3 . 7.87 |================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.64 |==================================================================== 2 . 6.69 |===================================================================== 3 . 6.73 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 8.17 |================================================================= 2 . 7.95 |=============================================================== 3 . 8.68 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 11.38 |=================================================================== 2 . 11.50 |==================================================================== 3 . 11.21 |================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.43 |============================================================ 2 . 2.80 |===================================================================== 3 . 2.48 |============================================================= NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 24.03 |==================================================================== 2 . 24.10 |==================================================================== 3 . 23.55 |================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 82.47 |==================================================================== 2 . 81.59 |=================================================================== 3 . 81.61 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 22.02 |==================================================================== 2 . 21.04 |================================================================= 3 . 20.98 |================================================================= NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 16.97 |==================================================================== 2 . 17.05 |==================================================================== 3 . 16.94 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 46.00 |==================================================================== 2 . 43.98 |================================================================= 3 . 43.58 |================================================================ NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 41.06 |==================================================================== 2 . 40.86 |==================================================================== 3 . 40.84 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 17.22 |==================================================================== 2 . 17.26 |==================================================================== 3 . 17.28 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 14.94 |==================================================================== 2 . 14.99 |==================================================================== 3 . 14.90 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.21 |===================================================================== 2 . 7.20 |===================================================================== 3 . 7.20 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 8.76 |===================================================================== 2 . 8.76 |===================================================================== 3 . 8.76 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.86 |===================================================================== 2 . 4.88 |===================================================================== 3 . 4.87 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 8.04 |===================================================================== 2 . 8.04 |===================================================================== 3 . 8.03 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 17.63 |==================================================================== 2 . 17.70 |==================================================================== 3 . 17.69 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 1.54 |=================================================================== 2 . 1.56 |==================================================================== 3 . 1.58 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 19.74 |==================================================================== 2 . 19.78 |==================================================================== 3 . 19.74 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 75.73 |==================================================================== 2 . 75.88 |==================================================================== 3 . 75.60 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 11.63 |==================================================================== 2 . 11.60 |==================================================================== 3 . 11.60 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 14.62 |==================================================================== 2 . 14.60 |==================================================================== 3 . 14.63 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 28.55 |==================================================================== 2 . 28.51 |==================================================================== 3 . 28.57 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 27.75 |==================================================================== 2 . 27.71 |==================================================================== 3 . 27.75 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 280.64 |=================================================================== 2 . 281.70 |=================================================================== 3 . 280.73 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 250.11 |=================================================================== 2 . 249.10 |=================================================================== 3 . 248.90 |=================================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1049682.4 |================================================================ 2 . 1052491.1 |================================================================ 3 . 1052562.9 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1181883.8 |================================================================ 2 . 1179317.2 |================================================================ 3 . 1185963.1 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1197790.1 |================================================================ 2 . 1202929.6 |================================================================ 3 . 1199663.7 |================================================================