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  2. Superposition Benchmark - Wikipedia

    en.wikipedia.org/wiki/Superposition_Benchmark

    Superposition Benchmark is a benchmarking software based on the UNIGINE Engine. The benchmark was developed and published by UNIGINE Company in 2017. The main purpose of software is performance and stability testing for GPUs. Users can choose a workload preset, Low to Extreme, or set the parameters by custom.

  3. Nvidia NVENC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVENC

    Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU. It was introduced with the Kepler -based GeForce 600 series in March 2012 (GT 610, GT620 and GT630 is Fermi Architecture).

  4. Nvidia's Blackwell era will test the world's most valuable ...

    www.aol.com/nvidias-blackwell-era-test-worlds...

    The Nvidia CFO said Blackwell delivered a "2.2 times leap in performance over Hopper" on the test. Collectively, these performance leaps and supply-side pressures matter to Nvidia for a longer ...

  5. Geekbench - Wikipedia

    en.wikipedia.org/wiki/Geekbench

    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]

  6. 1 Unbelievable Metric That Could Make Nvidia Stock a ... - AOL

    www.aol.com/finance/1-unbelievable-metric-could...

    Blackwell provides four times the performance as Hopper, as it only requires 64 Blackwell GPUs to run a benchmark test versus 256 Hopper GPUs. Blackwell production is in full swing and continues ...

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    GPU performance benchmarked on GPU supported features and may be a kernel to kernel performance comparison. For details on configuration used, view application website. Speedups as per Nvidia in-house testing or ISV's documentation. ‡ Q=Quadro GPU, T=Tesla GPU. Nvidia recommended GPUs for this application.

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