gpu-benchmark

Catch local LLMs spilling into the CPU. One run shows GPU placement, prefill, decode, memory, power and a verdict.

This is a uer-friendly Python codebase designed for stress testing of Nvidia GPUs, intel CPUs, and AMD CPUs in various modes

An stress and benchmark utility for NVIDIA GPUs. Measures performance across various precisions (FP64, FP32, TF32, FP16, INT8) and monitors real-time vitals like power, temperature, and clock speeds.

Agent skill and shared CLI for GPU benchmarks, qualified NVIDIA cold-boot unlock kits, and measured before/after comparisons.

nvProbe - Open-source NVIDIA GPU benchmark suite for CUDA workload automation, Slurm HPC cluster profiling, and MLPerf reporting

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.

Benchmark CPU, Benchmark GPU, Storage, RAM using Python

Reproducible Docker Compose + ComfyUI experiments for MiniMax-H3 video generation.

ChimbaBenchCL is a lightweight, cross-platform, open-source benchmark designed to measure the performance of processors (CPUs) and graphics cards (GPUs) using the OpenCL standard.

High-performance GPU benchmarking tool built with Vulkan, CUDA, and ImGui — featuring real-time physics simulation, custom rendering, and modular engine architecture.

Preregistered, DOI-archived llama.cpp study: Qwen3.8-27B on one RTX 3090 (sm_86). draft-mtp at --spec-draft-n-max 2 is +59.8% [+57.0, +62.8] server-reported decode over 25 purposive prompts; draft-dflash (PR #27342) +51.9%, not separated from it. Decode energy -37.1%, uncalibrated. 23-25 of 25 prompts diverge from serial greedy at 1600 tokens.

Local LLM benchmarks on an RTX 5070 Ti 12GB laptop GPU. Speed, coding, reasoning, and tool call accuracy across GGUF models with llama.cpp.

Re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms.

🏆 Which 3DGS renderer is fastest? Which compression is best? We measured them all — on the same GPU, same scenes, same protocol.

**Kernel-V8** is a high-performance GPU benchmarking engine built on the WebGL2 API. By rendering a complex 8th-order **Mandelbulb** fractal in real-time, it generates intense arithmetic workloads to evaluate the stability, thermal throttling, and peak compute throughput of modern graphics hardware.

Advanced benchmark harness for AI agent inference workloads on AMD GPU and ROCm cloud infrastructure

AI video generation on RunPod (MiniMax H3 via ComfyUI) assembled with a mechanically-enforced editing grammar

A code to benchmark GPU performance on different models

Reproducible SRAM surrogate simulation benchmark with CPU/CUDA lanes, fidelity validation, and GPU portability architecture.

Single-GPU proof of concept for emulating brain microcircuits with spiking neural networks