GPU Benchmarks That Actually Help You Pick a Graphics Card

A searchable GPU benchmark table with PassMark data. Compare graphics cards side by side, see performance differences visually, and find the right card for your needs.

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GPU spec sheets are a mess. VRAM, clock speed, memory bandwidth, CUDA cores, stream processors, TDP, tensor cores. The numbers pile up, and it is still not obvious whether a card is 10% faster or 50% faster than another one.

Z.Tools GPU Ranking cuts through the noise with PassMark benchmark scores in a searchable table. Select two or more cards, see the performance difference as progress bars, and make your decision based on actual test results instead of spec sheet math.

GPU 排行榜

GPU 排行榜

比较和排名 GPU 性能

Why benchmark scores beat spec sheets

Two GPUs with the same VRAM and similar clock speeds can perform very differently. Architecture matters. A card with fewer but more efficient processing units can outperform one with more units on an older design.

PassMark runs standardized tests that measure real rendering performance across different scenarios. The composite score reflects how the card performs in practice, not how it looks on paper.

This matters most in the mid-range, where the differences between competing cards are often small enough that spec comparisons are misleading. A 5% difference in clock speed might translate to a 15% difference in benchmark scores, or it might translate to 2%, depending on the architecture.

Searching and comparing

Type a GPU model name into the search field and the table filters. Select multiple cards to compare them with visual progress bars.

The comparison view makes it easy to see the performance gap. If two cards have bars of similar length, the difference is marginal. If one bar is significantly longer, the performance gap is real.

The data source

Benchmark data comes from PassMark, mirrored on a CDN with 24-hour refresh cycles. The scores are aggregated from real user submissions, which means they reflect actual hardware behavior including driver performance, thermal conditions, and system configurations.

This is more honest than manufacturer-provided benchmarks, which are typically run under ideal conditions that do not match real-world use.

Practical uses

Gaming PC builds. Compare GPUs in your budget range. The benchmark scores correlate well with gaming performance, though specific game optimization can shift things.

Video editing and rendering. If your primary workload is video editing, check the compute-specific scores rather than the overall mark. Some cards with high overall scores are optimized for gaming, not compute.

Machine learning. GPU selection for ML depends on VRAM, compute capability, and framework support. The benchmark table helps narrow the field, but you will need to check framework compatibility separately.

Upgrading. Compare your current card against a potential upgrade. If the benchmark improvement is less than 30%, the upgrade might not be noticeable in your daily use.

What it does not do

No pricing. Benchmark scores only. Check retailers for current pricing.

No game-specific benchmarks. The scores are from a standardized test suite, not from specific games.

No ray tracing or DLSS/FSR specific scores. These features affect real-world performance but are not captured in the PassMark composite score.

No recommendation engine. The tool gives you data. The decision is yours.

The tool does one thing: show GPU benchmark data in a searchable, comparable format. If you are picking a graphics card, start here.

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