Amazon EC2 c2a.8xlarge KVM testing on Ubuntu 20.04 via the Phoronix Test Suite. c2a.8xlarge: Processor: AMD EPYC 7R13 (16 Cores / 32 Threads), Motherboard: Amazon EC2 c6a.8xlarge (1.0 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 62GB, Disk: 107GB Amazon Elastic Block Store, Network: Amazon Elastic OS: Ubuntu 20.04, Kernel: 5.11.0-1022-aws (x86_64), Vulkan: 1.1.182, Compiler: GCC 9.3.0, File-System: ext4, System Layer: KVM High Performance Conjugate Gradient 3.1 GFLOP/s > Higher Is Better c2a.8xlarge . 10.41 |========================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better c2a.8xlarge . 1.24803 |======================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better c2a.8xlarge . 67.65 |========================================================== OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis FPS > Higher Is Better c2a.8xlarge . 25 |============================================================= OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis FPS > Higher Is Better c2a.8xlarge . 34.10 |========================================================== OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis FPS > Higher Is Better c2a.8xlarge . 18.18 |========================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better c2a.8xlarge . 14.22 |========================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better c2a.8xlarge . 178.33 |========================================================= SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better c2a.8xlarge . 366.38 |========================================================= ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better c2a.8xlarge . 5.159793 |======================================================= Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better c2a.8xlarge . 95.09 |========================================================== Timed Linux Kernel Compilation 5.16 Build: defconfig Seconds < Lower Is Better c2a.8xlarge . 62.44 |========================================================== Graph500 3.0 Scale: 26 bfs median_TEPS > Higher Is Better c2a.8xlarge . 223366000 |====================================================== Graph500 3.0 Scale: 26 bfs max_TEPS > Higher Is Better c2a.8xlarge . 227385000 |====================================================== Graph500 3.0 Scale: 26 sssp median_TEPS > Higher Is Better c2a.8xlarge . 75849300 |======================================================= Graph500 3.0 Scale: 26 sssp max_TEPS > Higher Is Better c2a.8xlarge . 101589000 |====================================================== GROMACS 2021.2 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better c2a.8xlarge . 2.032 |========================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better c2a.8xlarge . 108293 |========================================================= TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better c2a.8xlarge . 1530597 |======================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better c2a.8xlarge . 121218 |========================================================= TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better c2a.8xlarge . 71160.9 |======================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better c2a.8xlarge . 81238.1 |======================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better c2a.8xlarge . 1368997 |======================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better c2a.8xlarge . 3257.11 |======================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better c2a.8xlarge . 318.29 |========================================================= TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better c2a.8xlarge . 79.00 |========================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better c2a.8xlarge . 282.70 |=========================================================