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Tom's Hardware
tomshardware.com › pc components › gpus
The GPU benchmarks hierarchy 2026: Ten years of graphics card hardware tested and ranked
2 weeks ago - This update includes complete 2026 gaming data for 48 GPUs across 19 separate tests, including eight RT titles. We've retested three generations each of GeForce and Radeon cards, as well as Intel's Arc Battlemage products. As a brief refresher of the cards in this version of our hierarchy, Nvidia's cutting-edge Blackwell architecture and its DLSS 4 suite of tech upgrades the quality of both upscaling and ray reconstruction on RTX 50-series GPUs.
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NVIDIA
nvidia.com › en-us › geforce › news › nvidia-frameview-power-and-performance-benchmarking-app-download
FrameView Performance and Power Benchmarking App: Free Download Available Now | GeForce News | NVIDIA
Monitor frame rates, power usage, performance per watt and other metrics, and hit the benchmark button to record over 40 data points for charts and comparisons.
Discussions

Test Benchmark GPU | NVIDIA GeForce Forums
{{Framework.description ? Framework.description : 'Join the GeForce community. Browse categories, post your questions, or just chat with other members.'}} More on nvidia.com
🌐 nvidia.com
Performance chart for gamers looking to buy used Nvidia GPUs
My 4070TI Super was such a huge upgrade from my Cerberus 1070 TI that I don’t see myself upgrading again for quite some time. More on reddit.com
🌐 r/nvidia
410
2056
August 22, 2025
What do you use to benchmark used GPU?
I use Unigine Superposition at 1080p Extreme More on reddit.com
🌐 r/nvidia
18
10
February 21, 2025
I see a lot of people benchmarking their GPUs. Is there a particular program that's considered the best and are any of them free?
3dmark is gold std (free version on steam) for gpu and best to compare to others with similar equipment to see if running near average. But Cinebench is solid for cpu and 2024 has a gpu test. Many others, anything is fine if u just need to load up components and monitor temps, clocks, power... More on reddit.com
🌐 r/radeon
14
2
November 23, 2025
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PassMark
videocardbenchmark.net › high_end_gpus.html
PassMark Software - Video Card (GPU) Benchmarks - High End Video Cards
May 18, 2026 - Video Card Benchmarks - Over 1,000,000 Video Cards and 3,900 Models Benchmarked and compared in graph form - This page contains a graph which includes benchmark results for high end Video Cards - such as recently released ATI and nVidia video cards using the PCI-Express standard.
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Tellusim
gravitymark.tellusim.com
GravityMark GPU Benchmark
GravityMark GPU Benchmark demonstrates the capabilities of modern GPUs by rendering an enormous quantity of objects in real-time, utilizing GPU acceleration. Easily stress test any GPU by increasing the number of rendered objects. Even relatively older GPUs like Nvidia’s GTX 1060 and mobile ...
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PassMark
videocardbenchmark.net
PassMark Software - Video Card (GPU) Benchmark Charts
PerformanceTest conducts three different tests and then averages the results together to determine the PassMark 3D Mark rating for a system... [ Read the entire article] Rarely is a graph completely accurate in what it is representing. There are many factors that can skew the results and make a graph misleading. As such it is necessary to have some background understanding of the data being presented. In the case of these Video Card Benchmarks there are several factors to consider, such as different system setups the Video Cards are running under and the possibility that users have overclocked their systems....
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NVIDIA
nvidia.com › en-us › geforce › technologies › frameview
Do you Obsess over FPS and GPU Power?
Benchmark your GPU’s power, frames per second (FPS), and performance per watt with the free FrameView app from NVIDIA GeForce.
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NVIDIA
nvidia.com › en-us › geforce › forums › geforce-graphics-cards › 5 › 313969 › test-benchmark-gpu
Test Benchmark GPU | NVIDIA GeForce Forums
{{Framework.description ? Framework.description : 'Join the GeForce community. Browse categories, post your questions, or just chat with other members.'}}
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NVIDIA
nvidia.com › en-us › data-center › performance-benchmarking
Optimize AI Workload Performance | NVIDIA Performance Benchmarking
April 28, 2026 - Optimize AI workload performance on any NVIDIA accelerated infrastructure with NVIDIA Performance Benchmarking’s suite of tools, services, and recipes. Using Performance Explorer, users can identify the ideal GPU count that minimizes both total training time and costs.
Find elsewhere
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NVIDIA
docs.nvidia.com › nvidia-hpc-benchmarks
NVIDIA HPC Benchmarks — NVIDIA HPC Benchmarks
NVIDIA HPC Benchmarks package includes STREAM benchmarks optimized for NVIDIA GPU and NVIDIA Grace CPU.
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NVIDIA
catalog.ngc.nvidia.com › orgs › nvidia › containers › hpc-benchmarks
NVIDIA HPC-Benchmarks - NGC Catalog
The NVIDIA HPC-Benchmarks collection provides four accelerated HPC benchmarks: HPL-NVIDIA, HPL-MxP-NVIDIA, HPCG-NVIDIA, and STREAM.
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PCWorld
pcworld.com › home › how-to › pcs & components how-to
How to benchmark your graphics card | PCWorld
May 1, 2023 - An example of 3DMark Time Spy scores and estimated game performance. After you’ve tested for stability and thermals, you can take your benchmarking degree up to a doctorate by testing performance.
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UserBenchmark
gpu.userbenchmark.com
GPU UserBenchmarks - 453 Graphics Cards Compared
Our figures are checked against thousands of individual user ratings. The customizable table below combines these factors to bring you the definitive list of top GPUs.[GPUPro] ... Marketers operate thousands of reddit accounts. Our benchmarks expose their spiel so they attack our reputation.
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NVIDIA
docs.nvidia.com › nvidia-hpc-benchmarks › STREAM_Benchmark.html
NVIDIA STREAM Benchmark — NVIDIA HPC Benchmarks
NVIDIA STREAM in the folder ./stream-gpu-linux-aarch64 · stream_test executable. NVIDIA STREAM benchmark for GPU with double precision elements
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Reddit
reddit.com › r/nvidia › performance chart for gamers looking to buy used nvidia gpus
r/nvidia on Reddit: Performance chart for gamers looking to buy used Nvidia GPUs
August 22, 2025 -

Just out of curiousity and boredom, I created a performance chart, based on aggregated benchmark results, to be able to better compare the gaming performance of the various Nvidia GPUs.

There are a variety of similar lists and performance benchmark charts online, but a lot of them (Like Tom’s Hardware) lack a unified chart that includes all RTX generations, and some of them (like bestvaluegpu) only base their performance ratings on one single benchmark.

The chart that I have made, then, has a Raw Performance rating based on six weighted benchmark results from 3DMark (Speed Way, Steel Nomad DX12, Steel Nomad Light DX12, Time Spy, Time Spy Extreme and Port Royal) as well as the Passmark DX12 Video Card Benchmark. This gives us (I hope) a broad, overall performance rating for a relatively wide range of gaming use cases, from lighter/older games to new, raytracing-heavy AAA titles.

I thought that even though this chart is far from any rigorous, scientific undertaking, it might still be useful for others, particularly for people looking to buy a used GPU and would like to get a good way to gauge the relative value of various different models.

I can get back more to the methodology in the comments, but an important thing to say right away is that apart from the Raw Performance column, there is also a Weighted Performance one (which the 1-60 hierarchy is based upon), where the raw performance for each card is adjusted for VRAM (punishing cards with less than 16 GB) and – very slightly – for model generation (GTX cards lacking DLSS upscaling, 20-series cards having lacking HDMI 2.1x support, 30-series for not enabling frame generation, et cetera).

Sorta, kinda, with lots of caveats (and actually quite unintended), the Weighted Performance rating aligns reasonably well with what I would consider to be a fair price in USD for a used GPU (in good condition) of that particular model (at least on the Swedish/EU used market), from a strictly game performance-oriented perspective (which, for example, puts the 3090 at a lower price point than you would be likely to find on eBay, simply because its 24 GB of VRAM is overkill for the vast majority of games).

Hope at least someone here finds it useful!

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UserBenchmark
userbenchmark.com
Home - UserBenchmark
When fps are not CPU bottlenecked at all, such as during GPU benchmarks, the 4090 is around 75% faster than the 3090 and 60% faster than the 3090-Ti, these figures are approximate upper bounds for in-game fps improvements.
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Reddit
reddit.com › r/nvidia › what do you use to benchmark used gpu?
r/nvidia on Reddit: What do you use to benchmark used GPU?
February 21, 2025 -

What do you use to benchmark used GPU?

What tests do you use to determine whether an old GPU is still good? Most results I've found are pretty old:

  • FurMark for stress test

  • 3dMark for rendering

  • GPU-Z to see if it's legit

Is this correct? Are they still valid?

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UserBenchmark
gpu.userbenchmark.com › Software
GPU Speed Test Tool - Compare Your PC - UserBenchmark
Free benchmarking software. Compare results with other users and see which parts you can upgrade together with the expected performance improvements.
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Chaos
chaos.com › vray › benchmark
V-Ray Benchmark – test your CPU/GPU rendering power | Chaos
Put your hardware through its paces with a new test scene designed for both the RTX and CUDA engines. V-Ray 6 Benchmark now supports Apple Silicon chips. ... Use your Chaos, Trimble, or Google account to sign in to the app.
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Lambda
lambda.ai › gpu-benchmarks
GPU Benchmarks for Deep Learning | Lambda
Additionally, it’s also important to test throughput using state of the art (SOTA) model implementations across frameworks as it can be affected by model implementation. We are working on new benchmarks using the same software version across all GPUs. Lambda's PyTorch® benchmark code is available here. The 2023 benchmarks used using NGC's PyTorch® 22.10 docker image with Ubuntu 20.04, PyTorch® 1.13.0a0+d0d6b1f, CUDA 11.8.0, cuDNN 8.6.0.163, NVIDIA ...
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NVIDIA
nvidia.com › en-us › data-center › resources › mlperf-benchmarks
NVIDIA: MLPerf AI Benchmarks
The NVIDIA platform excelled in delivering the fastest time to train and the highest performance per GPU in MLPerf Training v6 benchmarks. This round, NVIDIA submitted results on both GB200 NVL72 and GB300 NVL72 systems.