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 22 public repositories matching this topic...
nvProbe — Open-source NVIDIA GPU benchmark suite for CUDA workload automation, Slurm HPC cluster profiling, and MLPerf reporting
benchmarking benchmark hpc gpu cuda slurm nvidia slurm-cluster nvidia-gpu cuda-benchmark gpu-benchmark mlperf llm-infrastructure hpc-benchmarking
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Aug 3, 2026 - 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
Benchmark CPU, Benchmark GPU, Storage, RAM using Python
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Jul 5, 2024 - Python
Advanced benchmark harness for AI agent inference workloads on AMD GPU and ROCm cloud infrastructure
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Jun 3, 2026 - Python
Reproducible SRAM surrogate simulation benchmark with CPU/CUDA lanes, fidelity validation, and GPU portability architecture.
performance-engineering simulation cuda pytorch sram semiconductor gpu-benchmark fidelity-validation
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Jun 6, 2026 - Python
A code to benchmark GPU performance on different models
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Jul 10, 2026 - Python
🏆 Which 3DGS renderer is fastest? Which compression is best? We measured them all — on the same GPU, same scenes, same protocol.
benchmark computer-vision deep-learning computer-graphics cuda pytorch renderer nerf gpu-benchmark gaussian-splatting 3d-gaussian-splatting cuda-optimization renderer-benchmark
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Aug 10, 2026 - Python
Poor Paul's Benchmark as an MCP server. Queryable GPU inference data — quantization, throughput, VRAM, concurrent users — for Claude Desktop, Cursor, Windsurf, Cline, and any MCP client. Self-host or use the free hosted endpoint.
inference quantization gpu-benchmark huggingface llm local-llm model-context-protocol fastmcp poor-pauls-benchmark
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May 27, 2026 - Python
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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Jun 19, 2026 - Python
PyTorch scripts to benchmark CPU vs GPU matrix multiplication and monitor CPU/GPU stats during a live CIFAR100 training run
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Jul 28, 2026 - Python
GPU vs CPU performance benchmarking for PyTorch and JAX. Works on AMD ROCm, DirectML, CUDA, MPS, CPU. Optimized for RX 5700 XT in WSL2.
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Apr 19, 2026 - Python
Benchmark your GPU against any GGUF model and contribute to the public leaderboard. Measures throughput, TTFT, ITL, and VRAM limits across quantizations and context sizes.
quantization vram gpu-benchmark huggingface home-lab inference-benchmark llm llama-cpp local-llm poor-pauls-benchmark
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Jun 7, 2026 - Python
GPU benchmark suite for AI inference workloads. Test throughput, latency, and power efficiency across NVIDIA, AMD, and Apple Silicon. By Petronella Technology Group.
pytorch nvidia performance-testing mlx gpu-monitoring gpu-benchmark apple-silicon ai-inference llm vllm ai-infrastructure
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Apr 14, 2026 - 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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Apr 25, 2026 - 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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Feb 20, 2026 - Python
Local LLM benchmarks on an RTX 5070 Ti 12GB laptop GPU. Speed, coding, reasoning, and tool call accuracy across GGUF models with llama.cpp.
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Aug 17, 2026 - Python
benchmark scaled LLM inference and training
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Jun 3, 2026 - Python
AMD MI300X vs NVIDIA H200: a controlled single-GPU benchmark of inference and training. AMD's 1.32x paper FLOPs advantage inverts on achieved efficiency, but its 1.36x memory becomes a 1.84x KV-cache advantage that wins large-model serving outright.
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Jul 28, 2026 - Python
Benchmarking several NVIDIA GPUs with dorado
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Feb 1, 2024 - Python
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