AI software that measures what matters
Run automated benchmarks on your infrastructure, APIs and machine-learning pipelines. Get a clear performance report in minutes, not weeks.
What the platform does
We built Benchmark AI to replace the spreadsheets, bash scripts and guesswork that most teams still rely on when they need to answer a simple question: "How fast is this, really?"
The platform connects to your servers, containers or cloud instances, runs a battery of tests you choose, and produces a scored report you can share with your team or your clients. Tests cover CPU throughput, memory latency, disk I/O, network round-trip times and inference speed for common ML frameworks.
Infrastructure benchmarks
Automated tests for CPU, RAM, storage and network on bare metal, VMs or Kubernetes clusters. Results normalised against a reference machine so you can compare across vendors.
API load testing
Simulate 50 to 500,000 concurrent requests against your endpoints. The report shows p50, p95 and p99 latencies, error rates and throughput per second over time.
ML inference profiling
Measure tokens per second, batch throughput and GPU utilisation for PyTorch, TensorFlow and ONNX models. Identify bottlenecks before they cost you in production.
Three steps to a benchmark report
Install our lightweight agent (a single binary, under 12 MB) on the target machine. Pick a test suite from the dashboard. Hit "Run". The agent streams results back in real time, and once the suite finishes you get a PDF and a JSON export.
Most infrastructure suites complete in under ten minutes. API load tests run for as long as you configure them. ML profiling depends on model size, but a 7-billion-parameter language model typically finishes in about four minutes on an A100.
Every report includes a comparison against our public baseline database, so you can see exactly where your setup sits relative to similar hardware or cloud configurations. No guessing, no "it feels faster".
Numbers from the last 12 months
These figures come from our internal analytics dashboard, updated quarterly.
What our users say
"We used to spend a full sprint every quarter writing custom load-test scripts. Benchmark AI replaced that with a ten-minute configuration. The comparison database alone saved us from picking the wrong GPU instance twice."
"The ML profiling caught a memory leak in our ONNX export that would have tanked inference throughput in production. Paid for itself on day one."
Ready to see real numbers?
Start a free trial, no credit card required. Run up to five benchmark suites and keep the reports forever.
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