What GFLOPS performance should I expect from different GPU categories?

GFLOPS performance has evolved significantly over time: In 2007, top GPUs reached around 497.3 GFLOPS, marking the baseline for modern GPU analysis. By 2010-2013, performance scaled into the thousands with 2,000-5,600+ GFLOPS through architectural and parallel processing improvements. In the 2020s, datacenter-class GPUs surpass 100,000+ GFLOPS, driving advancements in AI, HPC, and next-generation gaming. These are theoretical maximums and real-world performance depends on the specific application.

How has GPU GFLOPS performance evolved from 2007 to 2025?

GPU GFLOPS performance has shown exponential growth over the 18-year period from 2007 to 2025. Early GPUs delivered single-digit GFLOPS, while modern high-end GPUs can exceed 100,000 GFLOPS. This represents a performance increase of over 10,000x, driven by advances in manufacturing processes, architecture improvements, and increased transistor counts.

What is GFLOPS per Watt efficiency and why does it matter?

GFLOPS per Watt efficiency measures how much computational performance a GPU delivers per unit of power consumed (TDP). This metric is crucial for understanding power efficiency, operational costs, thermal management requirements, and environmental impact. Higher efficiency means more performance with lower power consumption, which is especially important for mobile devices, data centers, and energy-conscious applications.

How do NVIDIA, AMD, and Intel compare in GFLOPS performance?

Based on our dataset of 1876 GPUs, NVIDIA typically leads in absolute GFLOPS performance with their high-end datacenter and gaming GPUs. AMD offers competitive performance especially in the mid-range and high-end segments. Intel, being newer to discrete GPUs, focuses on integrated solutions and entry-level discrete cards. Performance leadership varies by generation, price segment, and specific use cases.

GPU GFLOPS Performance Statistics

Interactive analysis of single-precision floating-point computing power (2007-2025)

Comprehensive GFLOPS performance data for 1876 graphics cards from NVIDIA, AMD, and Intel. Explore computing power evolution with logarithmic and linear scale visualizations.

What is GFLOPS?

GFLOPS (Giga Floating Point Operations Per Second) measures a GPU's single-precision floating-point computational performance. It represents the theoretical maximum number of 32-bit floating-point operations the GPU can perform in one second.

Key Applications:

3D graphics rendering
Scientific computing
Machine learning training
Cryptocurrency mining
Video encoding/decoding

Performance Context:

100-1000 GFLOPS: 2007: Top GPUs reached ~497.3 GFLOPS, marking the baseline for our analysis.
2,000-5,600+ GFLOPS: 2010–2013: Performance scaled into the thousands of GFLOPS, with architectural and parallel processing improvements.
100,000+ GFLOPS: 2020s: Datacenter-class GPUs surpass 100,000 GFLOPS, driving advancements in AI, HPC, and next-gen gaming.

GFLOPS Formula

GFLOPS = (Shader Units × Core Clock × 2) / 1,000,000,000

* Simplified formula. Actual performance varies by architecture and workload type.

Manufacturers

Time Period

Chart Scale

Data Display

GFLOPS Performance Evolution (2007-2025)

Current Generation Comparison

Top 10 GFLOPS Performers

GFLOPS per Watt Efficiency

Performance by Microarchitecture

Methodology & Data Sources

Data Sources & Processing

Primary Source: dbgpu library containing comprehensive GPU specifications
Data Origin: Sourced from TechPowerUp's extensive GPU database and manufacturer documentation
Time Range: GPUs released between 2007-2025 with verified GFLOPS data
Sample Size: 1876 graphics cards from NVIDIA, AMD, and Intel

GFLOPS Calculation

Single-precision (32-bit) floating-point operations per second, calculated using shader unit count, base clock speeds, and architecture-specific multipliers.

Chart Calculations & Interpretations

Timeline: Performance evolution over 18 years
Current Gen: Average GFLOPS for 2020-2025 releases
Maximum Performance: Highest GFLOPS value per manufacturer per year
Average Performance: Mean of top 25% performers per year

Top Performers: Highest individual GPU GFLOPS
Efficiency: GFLOPS per watt (TDP)
Architecture: Total GFLOPS by GPU architecture
Scale Options: Linear for trends, logarithmic for growth rates

Important Notes

GFLOPS represents theoretical peak performance
Real-world performance varies by application and workload type
Higher GFLOPS doesn't always mean better gaming performance
Some specialized compute GPUs may show extremely high values
Data filtered to exclude obvious errors or outliers
Cross-verified with official manufacturer specifications

GFLOPS Champion in Filtered Data

RTX PRO 6000 Blackwell

126000.0 GFLOPS • NVIDIA Blackwell 2.0 • 2025

Overall winner across all data - this GPU delivers the highest single-precision floating-point performance in the entire database with exceptional computing power for professional AI and scientific computing applications.

View Details