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Benchmark Testing: A Complete Overview

Apr 1, 2025
8 min read
author sona

Sona Hakobyan

Author

Sona Hakobyan

Sona Hakobyan is a Senior Copywriter at PFLB. She writes and edits content for websites, blogs, and internal platforms. Sona participates in cross-functional content planning and production. Her experience includes work on international content teams and B2B communications.

Senior Copywriter

Reviewed by Boris Seleznev

boris author

Reviewed by

Boris Seleznev

Boris Seleznev is a seasoned performance engineer with over 10 years of experience in the field. Throughout his career, he has successfully delivered more than 200 load testing projects, both as an engineer and in managerial roles. Currently, Boris serves as the Professional Services Director at PFLB, where he leads a team of 150 skilled performance engineers.

Imagine launching a new app or platform, then finding out it slows to a crawl when real users start using it. That’s every developer’s nightmare, and a costly one, too. How do you avoid it? 

By making sure your system can handle the pressure before it goes live. That’s exactly what benchmark testing helps you do. 

In this article, we’ll walk you through what benchmark testing is, why it matters, the different types you should know about, and how to actually run one. Whether you’re a developer, QA specialist, or product manager, this guide will give you a clear understanding of how to measure and improve your system’s performance.

What is Benchmark Testing?

Benchmark testing is basically a reality check for your software. It’s a way to measure how well your system, application, or hardware performs under specific conditions and then compare those results against an established standard or against competitors.

Think of it like taking your car to the track, running a few laps, and seeing how it stacks up against other cars. In the tech world, instead of speed and handling, you’re looking at things like response time, throughput, resource usage, and stability.

For example, let’s say you’ve developed an online banking app. You’d want to know:

  • How fast does it process transactions when 1,000 users are logged in?
  • Will it crash if there’s a sudden spike in traffic?
  • How does its performance compare to similar apps?

That’s exactly the kind of data benchmark testing delivers.

Why is benchmark testing important?

ReasonImportance
performance comparison Performance ComparisonHelps you analyze how your product performs against competitors.
Quality Standards Quality StandardsSupports the implementation of clear, measurable quality benchmarks.
SLA Service Level Agreements (SLAs)Provides data to define and maintain SLAs with your clients.
User Experience User Experience ValidationGives a real-world picture of how customers will experience your software.
Identifying Pitfalls Identifying PitfallsHighlights mistakes and performance gaps to avoid during development.
Performance Baseline Performance BaselineEstablishes your current performance level and pinpoints areas for improvement.

Benefits of Benchmark Testing

Benchmark testing is about making smart, data-driven decisions. Here’s why it’s worth your time:

  • Validates performance
    It confirms whether your software performs the way it should under different loads or setups.
  • Improves user experience
    A well-performing system means fewer delays, fewer crashes, and happier users.
  • Gives you a competitive edge
    If your software runs faster and more reliably than others, that’s something you can use to stand out.
  • Helps you save costs
    Software benchmark testing often reveals where you’re using more resources than needed — so you can optimize without overspending.
  • Reduces risk
    It allows you to catch performance issues early, before they turn into bigger problems for your customers or business.

Disadvantages of Benchmark Testing

While benchmark testing is useful, it’s not without its challenges. Here are a few things to keep in mind:

  • Results can fluctuate
    Benchmarks may change depending on test conditions, system updates, or even hardware changes.
  • You might focus too much on scores
    There’s a risk of chasing perfect numbers instead of focusing on real-world user experience.
  • You need the right tools
    The accuracy of your results depends heavily on the tools you use and how well they’re set up.
  • It requires careful planning
    Running meaningful benchmark tests takes time and effort, you can’t just wing it.

Types of Benchmark Testing

Benchmark testing isn’t a one-size-fits-all process. The type of test you’ll need depends on what exactly you want to measure, whether it’s your network speed, hardware performance, or how well your app handles real-world use. Here are the most common types:

types of benchmark testing

1. Network Benchmarking

This type of testing checks the health of your network. It looks at things like bandwidth, speed, latency, and data transfer rates. If your application relies on cloud services, streaming, or any real-time data exchange, network performance can make or break the user experience. Network benchmarking helps you spot weak links before they affect your customers.

2. System Benchmarking

System benchmarking focuses on the bigger picture; it measures how well the entire system performs under different conditions. This includes CPU usage, memory consumption, disk access, and other system resources. It’s often used to compare various configurations or environments to see which setup delivers the best results.

3. Storage Benchmarking

Storage performance is critical, especially if your software handles large files, databases, or frequent read/write operations. Storage benchmarking measures how fast data can be written to or read from your storage devices, helping you prevent slowdowns and bottlenecks.

4. Hardware Benchmarking

Not all hardware is created equal. Hardware benchmarking tests the performance of your physical components: processors, memory, hard drives, and more. It’s useful when you need to decide which hardware setup will give you the best performance for your specific application.

5. Application Benchmarking

This type zooms in on how well your software applications perform. It evaluates the speed, stability, and responsiveness of an app under various conditions. Whether it’s a web application, mobile app, or enterprise software, application benchmarking helps ensure that your product can handle the expected user load without slowing down or crashing.

Phases of Benchmark Testing

Benchmark testing isn’t something you can—or should—do on the fly. To get meaningful results, you need a structured approach. Typically, the process is divided into four key phases:

phases of benchmark testing

Planning Phase

Everything starts with a plan. In this phase, you define what you want to measure and why. Are you checking if a recent update improved your app’s speed? Or comparing your system’s performance against a competitor? You’ll also decide which benchmarks you’ll use as a reference. At PFLB, we always tie this phase to the project’s overall performance goals so that the test results are actually useful.

Analysis Phase

Once the goals are set, it’s time to gather the information you’ll need for testing. This includes details about your system architecture, expected user load, and any past performance data. The point here is to build a clear picture of the current state so you can measure any improvements or issues accurately.

Integration Phase

Next, you integrate your chosen benchmarking tools into the system. This could mean setting up load generators, stress testing software, or volume testing frameworks, whatever suits your testing objectives. The goal is to make sure everything is ready for smooth execution without disrupting ongoing development or operations.

Action Phase

Finally, you execute the tests. But running them is only half the job; the real value comes from analyzing the results. This is where you evaluate how the system performed, identify areas for improvement, and decide what actions to take next. Whether it’s fine-tuning a database or upgrading hardware, the data you collect here drives those decisions.

How To Do Benchmark Testing

Running a benchmark test isn’t complicated, but it does require careful preparation and a step-by-step approach to get useful results. Let’s discover how to run a benchmark test:

  • prepare test environment
    Prepare Your Test Environment
    First, set up the systems, software, and network elements you’ll be testing. The environment should reflect real-world conditions as closely as possible so your results are relevant.
  • Generate Relevant Test Data
    Generate Relevant Test Data
    Next, create or collect the data your test will use. This could be user profiles, transaction data, or sample workloads—anything that simulates how your system will be used.
  • Run the Benchmark Test
    Run the Benchmark Test
    Execute the test based on the plan you’ve created. As the test runs, make sure to capture key metrics like response times, processing speed, and resource consumption.
  • Review and Interpret the Results
    Review and Interpret the Results
    Once the test is complete, go through the data you’ve collected. Look for any weak spots, delays, or areas where the system struggles. The goal is to identify any performance issues.
  • Report Findings and Next Steps
    Report Findings and Next Steps
    Finally, organize the results into a clear summary. Outline what worked well, what needs attention, and what steps can be taken to improve the system’s performance going forward.

Benchmark Testing Frameworks

Once you’ve decided to run a benchmark test, the next question is: Which tool should you use?
There are plenty of frameworks out there, each with its strengths and best use cases. Here are some of the most popular options that teams rely on:

PFLB

PFLB - the Best Load Testing Tool to Identify Performance Bottlenecks

At PFLB, we offer our own benchmark and performance testing services designed for enterprise-level systems. It’s built to handle complex, large-scale tests and integrates smoothly with development workflows. If you need a solution that covers the entire benchmarking process, from planning to analysis, this cloud-based platform is built for that.

Curious How Your System Performs?

BlazeMeter

BlazeMeter - Continuous Performance Testing Tool

BlazeMeter is a cloud-based testing platform that supports a wide range of performance tests, including performance benchmark testing. It’s especially useful when you need to run large-scale tests without worrying about infrastructure. BlazeMeter is compatible with popular open-source tools like JMeter and simplifies the process of running tests across distributed environments.

JMeter

pflb-jmeter-integration-logo

One of the most well-known names in the world of load and benchmark software testing, JMeter is an open-source tool used for testing the performance of web applications, APIs, and more. It’s flexible, supports multiple protocols, and has a strong community behind it.

Related: TOP 5 Best JMeter Cloud Load Testing Services

Gatling

Gatling - the Load Testing Solution

Gatling is another open-source performance testing tool known for its ease of use and detailed reports. It’s especially popular among developers because it integrates well with continuous delivery pipelines and allows writing test scenarios in Scala or Java.

Read also: Gatling vs. JMeter vs. PFLB: What Tool to Use?

Grinder

grinder-logo

Grinder is a Java-based load testing framework that can also be used for benchmarking. It’s highly flexible and supports distributed testing, making it a solid choice for teams that want to customize their tests at the scripting level.

stress-ng

For more technical, system-level benchmarking, stress-ng is a powerful option. It’s a command-line tool used primarily on Linux systems to stress-test CPU, memory, disk, and other hardware components. It’s ideal when you want to benchmark hardware performance rather than software applications.

Final Thoughts

Benchmark performance testing is about having a clear picture of how your system performs when it matters most. It helps you understand your software’s real capabilities, how it stacks up against industry standards, and where improvements are needed. Whether you’re preparing for a product launch, scaling your infrastructure, or simply making sure your current setup can handle future demand, reliable performance data is essential.

At PFLB, we know how important it is to have the right tools and a structured process to run these tests efficiently. That’s why we offer tailored testing services designed to give you accurate, actionable insights without the hassle. 

If you’re ready to take the guesswork out of performance testing, our team is here to help you get started!

Want to See PFLB in Action?

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