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CPU-Z is more comprehensive in virtually all areas compared to the tools provided in the Windows to identify various hardware components, and thus assists in identifying certain components without the need of opening the case; particularly the core revision and RAM clock rate. It also provides information on the system's GPU.
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.
Free/open source (GPL) or proprietary AMD CodeXL by AMD: Linux, Windows For GPU profiling and debugging: OpenCL. A tool suite for GPU profiling, GPU debugger and a static kernel analyzer. Free/open source (MIT) AMD uProf by AMD: Linux, Windows C, C++, .NET, Java, Fortran Code profiler, does sampling based profiling on AMD processors. Proprietary
The company developing the software is based in Chaoyang District, Beijing, [3] and was cofounded by Chinese entrepreneurs Shào Yīng (邵英) [4] and Liáng Bīn (梁斌). [5] They started multi-platform development, releasing an x86 Linux version in May 2021 [ 6 ] and a Windows version with ray tracing support in August 2021.
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]
HWiNFO (also known as HWiNFO64 [1]) is a system monitoring, system profiling and system diagnostics program for Windows and DOS-based systems. [ 2 ] It is developed by Martin Malik and REALiX. It was used by NASA during several tests of different microprocessors, including an AMD Ryzen 3 1200 and Intel i5-6600K .
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
Heaven and other benchmarks by UNIGINE Company are often used by hardware reviewers to compare performance of GPUs [1] [2] [3] and by overclockers for online and offline competitions in GPU overclocking [4] [5]. Running Heaven (or another benchmark by UNIGINE Company) produces a performance score: the higher the numbers, the better the ...