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1.32×10 15: Nvidia GeForce 40 series' RTX 4090 consumer graphics card achieves 1.32 petaflops in AI applications, October 2022 [8] 2×10 15: Nvidia DGX-2 a 2 Petaflop Machine Learning system (the newer DGX A100 has 5 Petaflop performance) 11.5×10 15: Google TPU pod containing 64 second-generation TPUs, May 2017 [9]
Users can choose a workload preset, Low to Extreme, or set the parameters by custom. The benchmark 3D scene is an office of a fictional genius scientist from the middle of the 20th century. The scene is GPU-intensive because of SSRTGI (Screen-Space Ray-Traced Global Illumination), proprietary dynamic lighting technology by Unigine.
TechPowerUp GPU-Z (or just GPU-Z) is a lightweight utility designed to provide information about video cards and GPUs. [2] The program displays the specifications of Graphics Processing Unit (often shortened to GPU) and its memory; also displays temperature, core frequency, memory frequency, GPU load and fan speeds.
3DMark Port Royal is to test and compare the real-time ray tracing performance of any graphics card. [23] January 8, 2019 Windows 10 October Update DirectX Raytracing: Supported 3DMARK Steel Nomad [24] Steel Nomad, the latest GPU benchmark from 3DMark, is the official successor to the popular Time Spy tool, which was introduced eight years ago ...
GPU designs are usually highly scalable, allowing the manufacturer to put multiple chips on the same video card, or to use multiple video cards that work in parallel. Peak performance of any system is essentially limited by the amount of power it can draw and the amount of heat it can dissipate.
The LINPACK benchmark report appeared first in 1979 as an appendix to the LINPACK user's manual. [4]LINPACK was designed to help users estimate the time required by their systems to solve a problem using the LINPACK package, by extrapolating the performance results obtained by 23 different computers solving a matrix problem of size 100.
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
Geekbench began as a benchmark for Mac OS X and Windows, [3] and is now a cross-platform benchmark that supports macOS, Windows, Linux, Android and iOS. [4]In version 4, Geekbench started measuring GPU performance in areas such as image processing and computer vision.