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benchmark

Measure any tennis API against a published, reproducible method — response time, observed availability — and be told when your sample is too small to support a number.

Zambo: the cross-AI execution layer. 136 native MCP tools over one endpoint, with a verifiable execution receipt for every call (AER-1 open draft). Free: generous free tier, no account. Day Pass $0.99 USDC on Base for 24h; Zambo Pass $29/month ($19/month for verified $ZAMBO holders). https://zambo.dev

Header-only C++17 least-squares solver by Householder QR

Open dataset: bitHuman avatar render speed (× real time) by device, from docs.bithuman.ai/performance. Code Apache-2.0, data CC BY 4.0.

Command-line benchmark for LLM APIs: send the same prompts to OpenAI and Anthropic models concurrently and compare p50/p99 latency, tokens per second, cost per request and success rate. Rust.

Raw benchmark results and statistical analysis.

Объектив · Исследование распознавания техники: эталон, прогоны пайплайнов, метрики, лидерборд, выводы

Evaluation harness for measuring how well AI models perform on SysML v2 modeling tasks.

Public evidence datasets, claim atlases, and reproducible benchmarks for ClaimBound.

An Extensible Benchmark Framework for Real-Time Applications

Documentation: https://rt-bench.gitlab.io/rt-bench/

The QR benchmark set: QR codes under damage, hand-shake and rotation, each with its expected text; a viewer that runs any scanner through it on a monitor and a scorer. Verdetto's own, CC0.

Every symbology Zint encodes, rendered clean and put through graded damage: 100 formats, 10,840 images, each with the exact text its symbol carries. A ceiling test for a barcode reader. Images CC0, scripts MIT.

Helm Charts for various benchmarks

The repository contains the code used in an extensive benchmark of co-occurence based inference methods to recover the interaction structure of microbial communities from metabarcoding data (16S rDNA-seq data)

Empirical validation of C4 geometric defense against 16 Agents of Chaos. 550 adversarial prompts. 4 defense systems. 96.7% block rate. LLM validation on GPT-4o-mini + Mistral 7B. MIT.

Kevlar Benchmark: OWASP Top 10 for Agentic Apps (AI-Agents) 2026 a Red Team Benchmark.

A benchmark library with statistical analysis and plotting capabilities in C++. https://cppstatbench.musicscience37.com/

Red Team AI Benchmark: Evaluating LLMs for authorized offensive-security tasks. Red Team AI Benchmark is a CLI model-evaluation benchmark. It measures how LLMs understand and respond to red-team questions and security scenarios; it is not a tool for carrying out those activities. Version 2 uses a rubric-based dataset instead of judging answers only against one golden response.

Mini benchmarking suite — performance testing utilities.

Automated LLM Benchmarking on GPU - tokens/sec, latency percentiles, VRAM profiling, multi-format support (HuggingFace, GGUF, GPTQ)

https://ayinedjimi-consultants.fr