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WebGL2 Diagnostic Tool

Particle System Performance Test

Measure real-time GPU performance under a high-density particle rendering workload directly in your browser.

Real WebGL2GPU BenchmarkParticle RenderingNo Download
--FPS|--ms|1% Low:--
100,000particles|1280×720

Ready to Benchmark

Configure your particle count and visual parameters below, then start the GPU workload evaluation.

STATUS:STANDBY
TIME:00:00

Benchmark Configuration

Options lock during active run
PARTICLE COUNT:100,000
PARTICLE COMPLEXITY:HIGH
PARTICLE SIZE:MEDIUM
PARTICLE SPEED:FAST
BLENDING MODE:ADDITIVE
RENDER SCALE:100%
TEST DURATION:30s

Live Telemetry & Diagnostics

LIVE FPS
--
Current
AVG FPS
--
Mean
1% LOW
--
Slowest 1%
FRAME TIME
--
Per-frame ms
JITTER
--
Std Deviation
STABILITY
--
Pacing Score
PARTICLES
100,000
Active count
SCALE
100%
Buffer density

Technical Information & GPU Pipeline

WebGL 2.0
Particle Count100,000
ComplexityHigh
Particle SizeMedium
Particle SpeedFast
BlendingAdditive
Render Scale100%
Draw Calls / Primitives1 Call / 100,000 Points

FPS Over Time (Real-Time)

Continuous sampling of frame rate stability

Avg: -- FPSPeak: -- FPS
0.0sTarget: 60 FPS (Green dashed)-- FPS

Frame Delivery Time (ms)

Spike & stutter detection (lower is smoother)

Avg: -- ms
0.0s16.7 ms Budget (Orange dashed)-- ms

Particle Count vs Performance Scaling

Understand how increasing particle workload directly impacts your GPU rendering throughput.

Results update automatically whenever a benchmark completes for that particle workload, or you can trigger a comprehensive scaling sweep.

PARTICLE COUNTGPU WORKLOADMEASURED AVERAGE FPSSTATUS
1,000 (1K)Ultra-Light / Baseline-- FPSPending
5,000 (5K)Light Ambient-- FPSPending
10,000 (10K)Standard Mobile Game-- FPSPending
25,000 (25K)Moderate FX Field-- FPSPending
50,000 (50K)Dense Desktop FX-- FPSPending
100,000 (100K)High-Density Stress-- FPSPending
250,000 (250K)Heavy GPU Particle Cloud-- FPSPending
500,000 (500K)Extreme Workload Peak-- FPSPending

Hardware & WebGL Diagnostic Context

Parameters queried directly from your browser's WebGL2 graphics pipeline.

Verified WebGL2
GPU RendererDetecting...
GPU VendorDetecting...
WebGL VersionDetecting...
Max Texture Size--
Max Fragment Uniforms--
Max Vertex Uniforms--
Viewport Dimensions--
Device Pixel Ratio--
Hardware Privacy Notice: Web browsers intentionally isolate low-level physical sensors (such as GPU junction temperature, fan RPM, and power draw in watts). Values displayed above reflect authentic API capabilities exposed through the W3C WebGL2 specification.

Understanding Particle System Performance

Learn the computational mechanics behind real-time particle rendering and hardware bottlenecks.

FUNDAMENTALS01

What is a Particle System?

A particle system is a computer graphics technique that simulates fuzzy, dynamic, or chaotic physical phenomena such as fire, smoke, dust, sparks, fluid spray, and planetary nebulae by simultaneously animating and rendering hundreds of thousands of microscopic graphic primitives.

GPU WORKLOAD02

Why Particle Counts Affect GPU Performance

Every active particle requires memory bandwidth, vertex coordinate transformations, matrix projection math, and rasterization into screen fragments. Pushing particle counts from 1,000 to 500,000 stresses your GPU's vertex geometry pipelines and primitive assembly throughput.

RASTERIZATION03

How are Particles Rendered?

Modern particle engines render particles as point sprites or camera-facing quads. Each particle executes a vertex shader that calculates its position in 3D world space, followed by a fragment shader that computes radial softness, color falloff, luminescence, and transparency.

FILLRATE04

What is Particle Overdraw?

Particle overdraw occurs when multiple semi-transparent particles overlap the exact same pixel on your display. If 50 particles stack on a single screen coordinate, the GPU must shade and blend that pixel 50 times in a single frame, severely taxing memory bandwidth and raster fillrate.

COLOR MATH05

What is Additive Blending?

Additive blending adds the RGB color values of incoming particle fragments directly to the existing pixel color without subtracting based on alpha. This creates bright, glowing energy fields and volumetric light halos where dense particle clusters intersect.

BOTTLENECK06

Why Can Particle Effects Cause Frame Drops?

In games and 3D applications, sudden explosions or thick smoke volumes trigger spikes in particle count and high overdraw. When fillrate limits are reached, the GPU cannot complete fragment shading within the 16.6ms window, causing noticeable stutter and frame drops.

RESOLUTION07

What Does Render Scale Do?

Render scale alters the internal canvas drawing buffer resolution. At 100%, each canvas pixel maps 1:1 with hardware display pixels. At 150%, the GPU rasterizes 225% more fragment area per particle, intensifying fillrate bottlenecks and memory bandwidth stress.

SCALING08

Why Does Particle Count Affect FPS?

As particle counts scale upwards, the workload grows across both vertex processing and pixel rasterization. Lower-tier GPUs or integrated graphics struggle with memory cache contention and SIMD dispatch queues when processing hundreds of thousands of point sprites simultaneously.

ARCHITECTURE09

CPU vs GPU Particle Simulation

Legacy systems updated particle coordinates using CPU JavaScript loops, causing severe browser thread bottlenecks. Our benchmark executes particle orbital harmonic equations entirely inside WebGL2 GPU vertex shaders, isolating pure graphics hardware rendering capability.

TIMING10

What is Frame Time?

Frame time measures the exact millisecond duration required by your graphics hardware to deliver a single frame. While average FPS can conceal micro-stutters, frame time pacing and 1% low calculations reveal instantaneous delays and thermal throttling stalls.

Frequently Asked Questions

Everything you need to know about browser-based GPU particle system benchmarking.