5220r-2p-tests 2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite. r1: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.8.0-rc2-phx-fgkaslr (x86_64) 20200624, Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 r1a: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.8.0-rc2-phx-fgkaslr (x86_64) 20200624, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 r2: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.8.0-rc2-phx-fgkaslr (x86_64) 20200624, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 r3: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.8.0-rc2-phx-fgkaslr (x86_64) 20200624, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better r1 . 0.64964 |================================================================= r2 . 0.64740 |================================================================= r3 . 0.64799 |================================================================= Open Porous Media OPM Benchmark: Flow MPI Norne - Threads: 1 Seconds < Lower Is Better r1 . 431.43 |================================================================ r2 . 442.93 |================================================================== r3 . 445.39 |================================================================== Open Porous Media OPM Benchmark: Flow MPI Norne - Threads: 2 Seconds < Lower Is Better r1 . 261.33 |================================================================== r2 . 258.98 |================================================================= r3 . 259.50 |================================================================== Open Porous Media OPM Benchmark: Flow MPI Norne - Threads: 4 Seconds < Lower Is Better r1 . 145.27 |================================================================== r2 . 141.45 |================================================================ r3 . 142.14 |================================================================= Open Porous Media OPM Benchmark: Flow MPI Norne - Threads: 8 Seconds < Lower Is Better r1 .. 111.14 |================================================================= r1a . 110.68 |================================================================= r2 .. 110.90 |================================================================= r3 .. 110.81 |================================================================= Open Porous Media OPM Benchmark: Flow MPI Norne - Threads: 16 Seconds < Lower Is Better r1 .. 91.96 |================================================================== r1a . 91.79 |================================================================== r2 .. 92.04 |================================================================== r3 .. 91.75 |================================================================== Open Porous Media OPM Benchmark: Flow MPI Norne - Threads: 32 Seconds < Lower Is Better r1a . 93.80 |================================================================== r2 .. 93.39 |================================================================== r3 .. 93.21 |================================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better r1a . 90520.0 |================================================================ r2 .. 89898.0 |================================================================ r3 .. 89952.7 |================================================================ TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better r1a . 1265753 |================================================================ r2 .. 1261863 |================================================================ r3 .. 1267220 |================================================================ TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better r1a . 113106 |=============================================================== r2 .. 114838 |================================================================ r3 .. 116316 |================================================================= TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better r1a . 60523.1 |================================================================ r2 .. 60900.9 |================================================================ r3 .. 60824.2 |================================================================ TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better r1a . 63560.3 |=============================================================== r2 .. 64293.2 |================================================================ r3 .. 64510.7 |================================================================ TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better r1a . 1115407 |================================================================ r2 .. 1111703 |================================================================ r3 .. 1117047 |================================================================ ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better r1a . 5.83 |=================================================================== r2 .. 5.84 |=================================================================== r3 .. 5.85 |=================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better r1a . 7.23 |=================================================================== r2 .. 7.22 |=================================================================== r3 .. 7.23 |=================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better r1a . 11.32 |================================================================== r2 .. 11.32 |================================================================== r3 .. 11.32 |================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better r1a . 86.51 |================================================================== r2 .. 86.51 |================================================================== r3 .. 86.46 |================================================================== Geekbench 5 Test: CPU Multi Core Score > Higher Is Better r1a . 23573 |================================================================= r2 .. 23990 |================================================================== r3 .. 23981 |================================================================== Geekbench 5 Test: CPU Multi Core - Gaussian Blur Mpixels/sec > Higher Is Better r1a . 1.36 |=================================================================== r2 .. 1.35 |=================================================================== r3 .. 1.34 |================================================================== Geekbench 5 Test: CPU Multi Core - Face Detection images/sec > Higher Is Better r1a . 253.5 |================================================================== r2 .. 247.5 |================================================================ r3 .. 248.6 |================================================================= Geekbench 5 Test: CPU Multi Core - Horizon Detection Gpixels/sec > Higher Is Better r1a . 672.3 |=============================================================== r2 .. 705.2 |================================================================== r3 .. 672.8 |=============================================================== Geekbench 5 Test: CPU Single Core Score > Higher Is Better r1a . 1096 |=================================================================== r2 .. 1088 |=================================================================== r3 .. 1090 |=================================================================== Geekbench 5 Test: CPU Single Core - Gaussian Blur Mpixels/sec > Higher Is Better r1a . 41.1 |=================================================================== r2 .. 40.7 |================================================================== r3 .. 40.7 |================================================================== Geekbench 5 Test: CPU Single Core - Face Detection images/sec > Higher Is Better r1a . 8.00 |=================================================================== r2 .. 8.01 |=================================================================== r3 .. 7.88 |================================================================== Geekbench 5 Test: CPU Single Core - Horizon Detection Gpixels/sec > Higher Is Better r1a . 23.7 |=================================================================== r2 .. 23.7 |=================================================================== r3 .. 23.7 |===================================================================