Mlperf Mobile
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Qualcomm Snapdragon 888 benchmarks: Here's how 2021's ...
The results only cover 3 devices: the MediaTek Dimensity 820-powered Xiaomi Redmi 10X 5G, the Qualcomm Snapdragon 865+-powered ASUS ROG Phone 3, and the Exynos 990-powered Samsung Galaxy Note 20 ...
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Updated: 4 hours ago
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MLPerf™ Inference Benchmark Suite - GitHub
MLPerf™ Inference Benchmark Suite. MLPerf Inference is a benchmark suite for measuring how fast systems can run models in a variety of deployment scenarios. Please see the MLPerf Inference benchmark paper for a detailed description of the benchmarks along with the motivation and guiding principles behind the benchmark suite. If you use any ...
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Updated: 4 hours ago
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MLCommons · GitHub
MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers C++ 154 38 4 6 Updated Jan 11, 2022. ... MLPerf Mobile benchmarks Python 0 0 2 0 Updated Jan 5, 2022. View all repositories. People. Top languages Python C++ TypeScript Jupyter Notebook.
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Updated: just now
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MLPerf™ HPC v1.0 results | MLCommons
MLPerf is a fair and consistent way to track ML performance over time, encouraging competition and innovation to improve performance for the community. Compared to the last submission round, the best benchmark results improved by 4-7X, showing substantial improvement in hardware, software, and system scale.
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Updated: 7 hours ago
MLCommons Releases MLPerf Training v1.1 AI Benchmarks ...
San Francisco — Dec. 1, 2021 – Today, MLCommons, the open engineering consortium, released new results for MLPerf Training v1.1, the organization’s machine learning training performance benchmark suite. MLPerf Training measures the time it takes to train machine learning models to a standard quality target in a variety of tasks including image …
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Updated: 1 hours ago
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Nvidia Dominates Latest MLPerf Results but Competitors ...
MLCommons today released its fifth round of MLPerf training benchmark results with Nvidia GPUs again dominating. That said, a few other AI accelerator companies participated and, one of them, Graphcore, even held a separate media/analyst briefing touting its MLPerf performance and contending its IPU-based systems were faster and offer a better bang-for-the …
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Updated: 5 hours ago
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