AMD A10 server
AMD A10-7870K Radeon R7 12 Compute Cores 4C+8G testing with a ASUS A88XM-E (2001 BIOS) and ASUS AMD Radeon R7 1GB on Ubuntu 18.04 via the Phoronix Test Suite.


AMD A10-7870K Radeon R7 12 Compute Cores 4C: 

	Processor: AMD A10-7870K Radeon R7 12 Compute Cores 4C+8G @ 3.90GHz (2 / 4 Threads), Motherboard: ASUS A88XM-E (2001 BIOS), Chipset: AMD 15h, Memory: 15360MB, Disk: 250GB Samsung SSD 850, Graphics: ASUS AMD Radeon R7 1GB, Audio: AMD Kaveri HDMI/DP, Monitor: G237HL, Network: Realtek RTL8111/8168/8411

	OS: Ubuntu 18.04, Kernel: 5.0.0-29-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: modesetting 1.20.1, OpenGL: 4.5 Mesa 18.2.8 (LLVM 7.0.0), Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 1920x1080


LeelaChessZero 0.22.0
Backend: BLAS
Nodes Per Second > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 3.27 |===========================


LeelaChessZero 0.22.0
Backend: Random
Nodes Per Second > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 160352 |=========================


MKL-DNN DNNL 1.1
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 306.82 |=========================


MKL-DNN DNNL 1.1
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 200.61 |=========================


MKL-DNN DNNL 1.1
Harness: IP Batch 1D - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 873.78 |=========================


MKL-DNN DNNL 1.1
Harness: IP Batch All - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 3763.45 |========================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 247.04 |=========================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 44371.53 |=======================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_3d - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 46665.17 |=======================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 97.71 |==========================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 146.74 |=========================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 5593.37 |========================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_all - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 236104 |=========================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 40720.07 |=======================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 21412.23 |=======================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 37242.00 |=======================


MKL-DNN DNNL 1.1
Harness: Recurrent Neural Network Training - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 4445.70 |========================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 28219.20 |=======================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 2481.20 |========================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32
ms < Lower Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 10892.97 |=======================


PostgreSQL pgbench 12.0
Scaling: On-Disk - Test: Normal Load - Mode: Read Only
TPS > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 15109.94 |=======================


PostgreSQL pgbench 12.0
Scaling: On-Disk - Test: Normal Load - Mode: Read Write
TPS > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 501.17 |=========================


PostgreSQL pgbench 12.0
Scaling: On-Disk - Test: Single Thread - Mode: Read Only
TPS > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 2403.37 |========================


PostgreSQL pgbench 12.0
Scaling: Mostly RAM - Test: Normal Load - Mode: Read Only
TPS > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 22697.08 |=======================


PostgreSQL pgbench 12.0
Scaling: On-Disk - Test: Single Thread - Mode: Read Write
TPS > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 163.66 |=========================


PostgreSQL pgbench 12.0
Scaling: Buffer Test - Test: Normal Load - Mode: Read Only
TPS > Higher Is Better
AMD A10-7870K Radeon R7 12 Compute Cores 4C . 47493.36 |=======================