![]() #Gpu benchmark comparison 1080pModel Codename Architecture Pixel Shaders Vertex Shaders Core speed Shader Speed Boost / Turbo Memory Speed Memory Bus Memory Type DirectX OpenGL Process (nm) Days old all, noneģDMark Ice Storm GPU 3DMark Cloud Gate Standard Score 3DMark Cloud Gate GPU 3DMark11 P 3DMark11 P GPU 3DMark Fire Strike Score 3DMark Fire Strike Graphics 3DMark Time Spy Score 3DMark Time Spy Graphics 3DMark Vantage P 3DMark06 3DMark01 GFXBench GFXBench 3.0 1080p Manhattan Offscreen GFXBench 3.1 Manhattan ES 3.1 Offscreen Basemark GPU 1.2 Vulkan Medium Offscreen Basemark X 1.1 Medium Quality Basemark X 1.1 High Quality Unigine Heaven 3.0 DX 11, Normal Tessellation, High Shaders Unigine Valley 1.0 Extreme HD DirectX Cinebench R15 OpenGL 64Bit Cinebench R10 32Bit OpenGL ComputeMark v2.1 Normal, Score LuxMark v2. The discrete-class GPU performance of the M1 chip lets you play graphics-intensive games with fluid frame rates and higher fidelity. ![]() As we will see, Neural Designer trains this neural network x1.55 times faster than TensorFlow and x2.50 times faster than PyTorch in a NVIDIA Tesla T4. We factor out the performance achieved by co-running of the sequential. ![]() ![]() (Manufacturer, Model, Series, Codename), Connect search words with and or .Īnnounced at least months ago (>0) Show only items with known benchmark results Still available (not archived) Show benchmark bars Show single scores on hover Show Percent Show performance classes Perf. This post compares the GPU training speed of TensorFlow, PyTorch and Neural Designer for an approximation benchmark. 7.3 Comparison with Paragon Figure10compares our Gpu speculation scheme with Paragon. ![]()
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