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Result after a CPU benchmark ("CPU Profile") 3DMark is a computer benchmarking tool created and developed by UL (formerly Futuremark), to determine the performance of a computer's 3D graphic rendering and CPU workload processing capabilities.
On September 14, 2020, AMD hinted at the physical design of its RX 6000 series through a tweet shared on social messaging service Twitter.At the same time, it launched a virtual island inside the video game Fortnite containing a large-scale rendition of the RX 6000 hardware design, which players could freely explore using the game's Creative mode.
The GeForce 30 series is a suite of graphics processing units (GPUs) developed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]
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. [5] In version 5, Geekbench dropped support for IA-32. [6]
ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.
Then the ratio between the recorded time and the reference time is computed. The geometric mean of all the benchmark suite application ratios is then computed as the SPECfp score. For example, 126.gcc application takes 1280 seconds to complete on the AlphaStation 200 4/100, while it takes 1700 seconds on the reference machine. So, the ratio is ...
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.
The scalar Whetstone Benchmark achieved a much higher gain of 16.7 times improvement. The report includes comparisons with other supercomputers, a modern fairly fast laptop PC and the 2020 Raspberry Pi 400, where the latter obtained MWIPS gains over the Cray 1 of 155 times scalar, 38 vector and 593 scalar multithreading (4 CPU cores versus 1).