Quick Answer
The GPU Benchmark Test tool runs client-side WebGL stress workloads in your browser, detects renderer info, scores capability and stability, and exports JSON results without uploading data.
Formula
Capability Score = Normalized FPS at Test Intensity × Stability Percentage
Introduction
This guide is part of the GPU Benchmark Test capability library. Use the benchmark tool on the run page to capture baseline FPS, stability, and renderer data before you judge real-world software fit.
The benchmark tool lives exclusively on the run page at /run/. It is the interactive capability calculator for this site: adjust controls, watch live telemetry, and export JSON without creating an account or uploading results. This article explains every control, how scoring works, and how tool output feeds validation and suitability workflows elsewhere in the library.
Tool Overview and Design Goals
The tool stresses your GPU with configurable WebGL2 scenes, falling back to WebGL1 when required. Render intensity (one to forty), duration (thirty seconds to five minutes), scene complexity (simple through extreme), and API mode (auto, WebGL2, WebGL1) let you simulate different pressure patterns without installing native benchmark suites.
Live telemetry displays FPS, frame time, draw load, VRAM pressure signals, stability percentage, session phase, and time remaining. A WebGL canvas renders the stress scene while metrics update in an accessible text grid for screen readers and export.
All execution is local to your browser. No account, no automatic upload, no leaderboard. The design goal is quick capability assessment and before-and-after comparison, not competition with global scores.
Tool output supports downstream workflows described in GPU performance validation and GPU capability analysis: use exports as baselines, then interpret passes and failures with structured validation rules.
GPU detection reads the WebGL renderer string and related context information displayed in system specs after a session. Verify the detected name matches your expected chip, especially on laptops with hybrid graphics or virtualized desktops where the active adapter may surprise you.
- Benchmark execution with start, stop, pause on tab hide, and fullscreen
- GPU detection via WebGL renderer and context probes
- Capability scoring from normalized FPS and stability
- Workload analysis via scene complexity presets
- Performance reporting with manual JSON export
How Capability Scoring Works
Composite capability score normalizes average FPS against selected test intensity and weights stability. Higher intensity produces lower raw FPS but stresses the GPU more meaningfully for headroom analysis.
Compare scores only at identical settings. Changing intensity, scene complexity, duration, or API mode invalidates direct comparison unless you maintain a matrix of baselines per configuration.
Stability percentage penalizes frame time variance and throttling during the session. A high average with low stability suggests unsuitability for long renders, streams, or open-world gaming even when peak numbers look fine.
Treat the score as relative to this tool and your historical exports, not as an absolute hardware grade across the internet.
Capability Score = Normalized FPS at Test Intensity × Stability Percentage
- Export JSON after each configuration you care about
- Label files with date, driver version, and settings
- Re-run after driver, cooling, or power changes
- Pair scores with min FPS and stability, not average alone
How to Run a Reliable Session
Use these steps on the run page whenever you need comparable capability data for validation or troubleshooting.
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Open the run page
Navigate to /run/ from home, navigation, or article CTAs. The tool is not embedded on other routes.
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Configure controls
Set render intensity, duration, scene complexity, and API mode before starting. Note settings in your validation log.
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Start and monitor telemetry
Watch FPS, frame time, stability, and phase labels during the run. Stop early only if thermals or noise become unsafe.
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Review results modal
Inspect summary metrics and system specs when the session completes or when you stop manually.
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Export JSON
Save exports for before-and-after comparisons. Redact machine identifiers if sharing publicly.
Typical Tool Use Cases
Quick health check after driver install: sixty-second moderate test, compare stability to prior JSON baseline stored in your validation folder.
Pre-purchase laptop evaluation in store or during return window: five-minute complex scene at high intensity to observe thermal throttling early.
Remote worker confirming cloud GPU assignment: run tool after each login to verify expected renderer and stable throughput.
Before-and-after undervolt or fan curve tuning: identical settings, three runs, compare stability and min FPS not just average.
- Driver update regression snapshots
- Second-hand GPU sanity checks
- Hybrid graphics laptop adapter verification
- Help desk remote graphics troubleshooting
FAQ
- Where is the benchmark tool located?
- Always at /run/. Controls and live metrics appear on that page only; home and blog pages link to it but do not duplicate the tool.
- Does the tool measure CUDA or DirectX?
- It measures WebGL graphics throughput in the browser. Native APIs require application-specific benchmarks alongside this test.
- Can I share exported JSON?
- Yes. Export is manual. Share files with teammates or forums while redacting identifiers if needed.
- Why did my score drop when I raised intensity?
- Higher intensity deliberately increases load. Normalized scoring adjusts partially, but raw FPS will fall. Compare using the same intensity over time.
Conclusion
The GPU benchmark test tool turns capability questions into measured, exportable data. Keep settings consistent, log environmental context, and validate with repeat runs.
The tool stays on /run/ by design so your workflow always has one canonical place to execute tests.
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