How PCSpecChart works

Purpose

PCSpecChart is a website designed for comparing the performance, specifications, and pricing of PC parts. The primary goal is to gather information from across the internet about PC components and present users with refined and accurate data.

You've likely noticed that there are countless reviews of different PC parts, often presenting conflicting information. The only way to make an informed purchase is to read as many reviews as possible and make your own judgment. This site simplifies that process: instead of reviewing PC parts, it reviews the reviews, extracting relevant information and presenting a consolidated view of the data.

Why review results differ

Even if review results vary significantly, it does not necessarily mean that some reviewers are incorrect. Differences in test platforms, benchmarking methods, and system configurations can all influence outcomes. There are also reviewers who are paid to promote certain products, making their information biased and unreliable.

To provide objective data, performance numbers are extracted from credible reviews and averaged.

How data is presented

• Charts: help visualize differences between products.
• Tables: offer detailed numerical comparisons.

You can filter products by manufacturer, product family, or name. Search finds entries that match the input string without requiring the full product name.

Performance normalization

• CPU performance is normalized to 100% on comparison tables, where the best-performing desktop CPU serves as the reference point. Workstation-class CPUs often deliver higher average performance in professional workloads due to significantly higher core counts and greater memory bandwidth. This performance advantage applies primarily to applications that can efficiently scale across many cores and benefit from large memory throughput, such as rendering, simulation, compilation, and data analysis. In lightly threaded tasks—such as gaming, web browsing, and general desktop usage—high-end desktop CPUs may feel more responsive due to higher boost clocks and stronger single-core performance. On dedicated CPU pages with JavaScript bar charts, performance is normalized to 10 000 points to provide finer resolution and more intuitive price-to-performance comparisons.
• GPU performance is normalized to 100% on comparison tables, using the fastest consumer GPU as the baseline. Some workstation-class GPUs may exceed this reference. On pages with performance bar charts, values are normalized to 2 000 points to improve visual clarity and price-to-performance analysis.
• Other tables use a 100% normalization model for consistency. Certain metrics—such as price-to-performance ratios—may fluctuate over time due to daily price changes.

Specifications, prices, and detail pages

Each product listing includes basic specifications in a tooltip. Clicking the product name opens a dedicated specification page.

• Next to each product name, the Amazon price is displayed (affiliate links redirect to the retailer's website).
• A price change indicator shows the difference compared to the previous day.
• Unavailable products are marked with violet-colored prices.

On a product page you can view stored specifications, product images when available, and price history on an interactive chart.

Blog

The blog contains articles about technology. Filters let you search by topic, category, or section. Registered users can post comments on posts.

How scores are calculated

Please note the relative nature of review results—your experience will depend on silicon quality, system configuration, and other factors. Averaging across multiple sources mitigates those differences. For less popular components, where benchmark data is limited, performance numbers are sometimes extrapolated based on available data.

CPU

• Calculated as an average of multiple relevant benchmarks.
• Benchmarks are selected based on data availability and real-world relevance.
• Rendering, encoding, and archiving are key benchmarks, as these are CPU-intensive tasks.
• Gaming performance is measured using 1080p benchmarks (most relevant for future-proofing).

GPU

• Performance is measured across three resolutions: 1080p, 1440p, and 2160p (4K).
• Performance per price is primarily based on 1440p benchmarks.

Motherboard

• Performance depends on VRM configuration.
• VRM performance is calculated as: number of power phases × maximum amperage rating.
• Other relevant factors include connectivity, audio quality, chipset features, and build quality.

SSD NVMe

• Calculated based on sequential and random read/write performance, DRAM capacity, and speed.
• Performance metrics correlate well with synthetic benchmarks but are less reflective of real-world performance.
• Additional columns include performance per price, combined performance per price, and price per terabyte.

Real-world performance differences within the same SSD generation are usually small.

RAM

• Performance is calculated using rated speed and timings.
• RAM tables include similar columns to SSD tables: performance per price, combined performance per price, and price per gigabyte.
• Real-world performance impact varies by application. Some applications show no difference between the slowest and fastest RAM.

Gaming performance impact depends on the CPU.

• High-end CPUs see 5–10% improvement with faster RAM.
• Mid-range CPUs benefit up to 25% (average 12%) from faster RAM.

Power supply

• Calculated based on power output, efficiency rating, and warranty period.
• For lower-power systems, only efficiency and warranty matter—you don’t need a 1000W PSU for an i5 and mid-range GPU.

PC case

• Case performance is difficult to quantify due to custom cooling setups.
• Comparison metrics include motherboard compatibility, cooling support, build quality, and storage capacity.
• For small form factor (SFF) builds, some parameters (e.g., storage support) become less relevant.

CPU coolers

• Divided into air and liquid coolers.
• Performance numbers are averaged across multiple reviews.
• Performance per price is calculated as usual.
• Some coolers are priced higher due to extra features (e.g., LCD screens), which should be considered.

Conclusion

This guide is a reference for how PCSpecChart operates and how data is processed. The goal is to simplify PC component comparisons and help you make well-informed purchasing decisions based on unbiased, aggregated data from multiple sources.