This is a uer-friendly Python codebase designed for stress testing of Nvidia GPUs, intel CPUs, and AMD CPUs in various modes
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Mar 2, 2025 - Python
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gpu-benchmark
Here are 9 public repositories matching this topic...
Benchmark CPU, Benchmark GPU, Storage, RAM using Python
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Jul 5, 2024 - Python
PCBench is a versatile Python-based system performance benchmarking tool designed to empower users with insights into their hardware's capabilities. Whether you're a tech enthusiast, a PC gamer, or a developer optimizing your code, PCBench provides comprehensive benchmarking for both CPUs and GPUs.
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Sep 19, 2023 - Python
High-performance GPU benchmarking tool built with Vulkan, CUDA, and ImGui — featuring real-time physics simulation, custom rendering, and modular engine architecture.
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Jun 9, 2025 - C++
Benchmarking several NVIDIA GPUs with dorado
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Feb 1, 2024 - Python
A reproducible GPU benchmarking lab that compares FP16 vs FP32 training on MNIST using PyTorch, CuPy, and Nsight profiling tools. This project blends performance engineering with cinematic storytelling—featuring NVTX-tagged training loops, fused CuPy kernels, and a profiler-driven README that narrates the GPU’s inner workings frame by frame.
performance-engineering deep-learning reproducible-research cuda pytorch fp16 cupy mixed-precision nsight gpu-benchmark nvtx fp32 tensor-core
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Sep 5, 2025 - Python
Implementing and Visualizing Deep Learning Models
deep-learning keras cnn classification ann bert data-augmentation word-embedding gensim-word2vec gpu-benchmark tensorflow2
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Jun 9, 2023 - Jupyter Notebook
benchHUB is a Python-based project to parse, aggregate, and visualize system and performance benchmarks. It includes a Streamlit dashboard to display and compare results.
mac benchmarking data-science machine-learning hardware leaderboard gpu-computing leaderboards performance-testing gpu-benchmark fastapi streamlit benchmarking-utility apple-silicon cpu-benchmarks gpu-benchmarking
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Jul 21, 2025 - Python
🎬 Explore GPU training efficiency with FP32 vs FP16 in this modular lab, utilizing Tensor Core acceleration for deep learning insights.
performance-engineering deep-learning reproducible-research cuda pytorch fp16 cupy mixed-precision nsight gpu-benchmark nvtx fp32 tensor-core
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Sep 6, 2025 - Python
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