SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900 + NVIDIA GeForce RTX 5080 SUPER

Get a comprehensive performance analysis of your gaming rig with detailed benchmarks, bottleneck detection, and upgrade recommendations

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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87 Score

Top 13% Ranking

87 / 100

HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

95%

GPU

79%

PROCESSOR

Intel Core i9-14900

58,115 Benchmark Score

Top 5% Market Ranking

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GRAPHICS CARD

NVIDIA GeForce RTX 5080 SUPER

3,075 Benchmark Score

Top 21% Market Ranking

View Full Specs →

Market Position

How your build compares to others

Budget

0-30

Mid-Range

30-60

High-End

60-85

Enthusiast

85-100

Your Build

Game Performance Benchmarks

Real-world 4K FPS in popular titles

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Performance Insights

Tips to maximize your system

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

Compatible Games See what you can play Compare CPUs Find upgrades Compare GPUs Find upgrades

Performance Tiers Explained

90-100

Ultimate

4K Ultra gaming, VR ready, ray tracing enabled, professional workloads

4K 60+ FPS VR Ready

70-89

High-End

1440p Ultra or 4K High settings, excellent for modern AAA titles

1440p Ultra 4K High

50-69

Mid-Range

1080p Ultra or 1440p Medium, great value for most gamers

1080p Ultra 1440p Med

30-49

Entry Level

1080p Medium settings, suitable for eSports and older titles

1080p Med eSports

0-29

Legacy

Basic gaming, older titles, consider upgrading for modern games

720p-1080p Low Older Games

The Intel Core i9-14900 and NVIDIA GeForce RTX 5080 SUPER form a desktop pairing that presents a stark contrast in benchmark positioning. The CPU is a high-end 24-core processor with a 92nd percentile rank among all CPUs, while the GPU, despite its modern architecture and substantial memory, sits at only the 19th percentile in its sole benchmark test. This analysis relies strictly on the provided data, interpreting what these scores indicate for various workloads. It is critical to note that no measured FPS rows exist for this exact combination; all performance discussions regarding frame rates are estimated from the benchmark scores and architectural specifications.

CPU Analysis

The Intel Core i9-14900 is a 24-core, 32-thread processor built on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It is manufactured on Intel's 10 nm process node and features a die size of 257 mm². The CPU operates with a base clock of 2.00 GHz and can boost up to 5.80 GHz. Its cache hierarchy is substantial, with 80 KB of L1 cache per core and 2 MB of L2 cache per core, alongside a shared 36 MB L3 cache. The processor supports both DDR4 and DDR5 memory over a dual-channel bus, and it includes ECC memory support. It offers PCIe Gen 5 connectivity with 16 lanes from the CPU, and it integrates UHD Graphics 770.

Benchmark results show a processor that excels in multi-threaded and single-threaded tasks alike. In Cinebench R23, the CPU scores 31070 points in the multicore test and 2212 points in the singlecore test. The Geekbench results are similarly strong, with a multicore score of 18495 and a singlecore score of 2488. PassMark tests further illustrate its capabilities: the multithread score is 44578, and the single-thread score is 4323. The data also shows high throughput in specific tasks, such as a floating-point math score of 120262 and an integer math score of 175010. For data compression, it achieves a score of 550271, and for encryption, it reaches 33540.

The average benchmark score for this CPU is 58115, placing it in the 92nd percentile of all CPUs. Its nearest rivals, based on average score, include the Intel Xeon Platinum 8260M with an average of 58323 (a delta of -0.4%), the AMD Ryzen 7 9850X3D with an average of 58386 (a delta of -0.5%), and the Intel Xeon w5-2545 with an average of 58504 (a delta of -0.7%). It also sits above the AMD EPYC 9015, which has an average score of 57555 (a delta of 1%). These deltas are minimal, indicating that the Core i9-14900 performs nearly identically to these enterprise and high-end desktop rivals in aggregate benchmarks. For real-world workloads, this means the CPU is exceptionally capable for heavy multi-threaded applications like video encoding, 3D rendering, and software compilation, while its high single-core score ensures snappy responsiveness in everyday tasks and games that rely on a few fast cores.

Balance and Bottleneck

The balance between this CPU and GPU is heavily skewed toward the processor. The Core i9-14900's 92nd percentile ranking demonstrates that it is a top-tier performer, unlikely to be a limiting factor in most scenarios. In contrast, the RTX 5080 SUPER's 19th percentile ranking, based on its 3DMark Steel Nomad DX12 score of 3075, suggests it is the primary constraint in graphics-intensive workloads. The data shows that the GPU's nearest rivals include the NVIDIA Quadro P1000 (average score 3163, delta -2.8%), the Intel Arc Pro B60 (average score 3182, delta -3.4%), and the NVIDIA GeForce 820A (average score 2983, delta 3.1%). These are not high-end gaming cards; the Quadro P1000 and GeForce 820A are entry-level or older parts. This indicates that the RTX 5080 SUPER's benchmark score is unexpectedly low for its product class.

This imbalance means that in gaming at high resolutions and detail settings, the GPU will almost certainly be the bottleneck, limiting frame rates while the CPU waits for work. The CPU's powerful multi-core performance will be underutilized in such scenarios. Conversely, in CPU-bound tasks like physics simulations, data compression, or code compilation, the Core i9-14900 will be the dominant force, and the GPU will have little to do. Benchmark results for the CPU show a strong PassMark physics score of 2486, reinforcing its capability in simulation tasks. The architectural data supports this: the CPU has 24 cores and 32 threads, while the GPU's benchmark score is a single data point that does not reflect high-end performance. Therefore, any bottleneck analysis must conclude that the GPU is the limiting component for graphics workloads, while the CPU is the clear leader in processing power.

Benchmark Performance

The exact benchmark scores for this pairing are as follows. The CPU's Cinebench R23 multicore score is 31070, and its singlecore score is 2212. Its Geekbench multicore and singlecore scores are 18495 and 2488, respectively. The average CPU benchmark score is 58115. The GPU's only benchmark result is a 3DMark Steel Nomad DX12 score of 3075. This GPU score places it in the 19th percentile of all GPUs, a surprisingly low position. The data shows no measured FPS for this combination, so all frame rate discussions are estimates based on these scores.

The combined picture is one of extreme disparity. The CPU is a top-10% performer, while the GPU is in the bottom 20% according to the provided data. The combined percentile for the build is 56, which is an average overall position. This suggests that if a user were to compare this system to others, it would sit in the middle of the pack, despite having a flagship-tier CPU. The GPU's performance, as measured by the 3DMark test, is closer to that of the NVIDIA Quadro P1000 and Intel Arc Pro B60 than to any modern high-end gaming card. For gaming, this implies that the RTX 5080 SUPER would perform at a level consistent with these lower-tier rivals, which is a critical factor for any potential buyer. The CPU's massive compute power would not translate to high frame rates if the GPU cannot render frames fast enough.

FAQ

Q: What is the processor's core and thread count?

A: The Intel Core i9-14900 has 24 cores and 32 threads.

Q: How does the CPU's performance compare to its nearest rivals?

A: The CPU's average benchmark score is 58115, which is nearly identical to the Intel Xeon Platinum 8260M (58323, -0.4%) and the AMD Ryzen 7 9850X3D (58386, -0.5%). It is slightly ahead of the AMD EPYC 9015, which has a score of 57555 (1% delta).

Q: What is the GPU's memory configuration?

A: The NVIDIA GeForce RTX 5080 SUPER features 24 GB of GDDR7 memory on a 256-bit bus, providing a bandwidth of 1.02 TB/s.

Q: Is the GPU's benchmark performance high-end?

A: No. The GPU's 3DMark Steel Nomad DX12 score is 3075, which places it in the 19th percentile. This score is comparable to the NVIDIA Quadro P1000 (3163) and Intel Arc Pro B60 (3182), indicating entry-level to mid-range performance, not high-end.

Q: Does the CPU support overclocking?

A: No, the multiplier is locked, as indicated by the `multiplierUnlocked` field being false.

Q: What is the CPU's socket type and memory support?

A: The CPU uses the Intel Socket 1700 and supports both DDR4 and DDR5 memory.

Q: What is the measured FPS for this CPU and GPU combination?

A: There is no measured FPS data for this exact combination. All performance discussions regarding frame rates are estimated from the benchmark scores.

Usage Scenarios

For high-refresh gaming at 1080p or 1440p, this pairing is problematic. The CPU's strong single-thread score of 4323 in PassMark is excellent for gaming logic, but the GPU's 19th percentile ranking will likely cap frame rates well below what the CPU can handle. The user would be better served by a more powerful GPU.

For streaming, the CPU's 24 cores and 32 threads are a major asset. The Core i9-14900 can handle both game encoding and streaming duties simultaneously, with its high Cinebench R23 multicore score of 31070 ensuring that background tasks have minimal impact on performance. However, the GPU's modest benchmark score would still limit the gaming experience.

In video editing, the CPU is the star. The high multicore scores in Cinebench R20 (15910) and Geekbench (18495) indicate rapid rendering and export times in software like Adobe Premiere Pro. The GPU can assist with effects and playback, but its lower benchmark score means it will not accelerate these tasks as effectively as a higher-tier GPU.

For 3D rendering, the CPU's 92nd percentile ranking makes it a formidable workstation processor. Its PassMark floating-point math score of 120262 is exceptionally high, which is crucial for ray tracing and complex scene calculations. The GPU's 24 GB of VRAM is a positive, but its low 3DMark score suggests slow viewport and final render performance compared to other GPUs.

Software development benefits greatly from the CPU's multi-threading. The PassMark data encryption score of 33540 and integer math score of 175010 point to strong performance in compilation and code processing. The GPU's performance is largely irrelevant for this workload, making the CPU the clear reason to choose this platform.

For student and office work, this build is overkill. The CPU's power is far beyond what is needed for word processing, spreadsheets, or web browsing, and its 65 W TDP is efficient for such a powerful chip. The GPU, despite its low percentile, is still a modern discrete card and would handle any office graphics tasks easily. The main issue is the cost of the platform relative to the needs of the user.

Upgrade Path and Platform

The Intel Core i9-14900 is built for the Intel Socket 1700 platform. This is a mature platform, and the CPU supports both DDR4 and DDR5 memory, giving builders flexibility in choosing memory. The CPU provides PCIe Gen 5 lanes, which is the current standard for high-bandwidth devices like NVMe SSDs and graphics cards. The GPU also uses a PCIe 5.0 x16 interface, ensuring full bandwidth compatibility.

The CPU has a TDP of 65 W, which is remarkably low for a 24-core processor. The GPU, however, has a TDP of 415 W and requires a single 16-pin power connector. This is a significant power draw, so a robust power supply is necessary, though no specific PSU wattage is suggested in the data. The primary upgrade path for this system would be to replace the GPU. Given that the CPU is a top-tier performer, it has substantial headroom to support a much more powerful graphics card. The data suggests that the current GPU is the limiting factor, and upgrading it would provide a massive increase in graphics performance.

The CPU also includes integrated graphics (UHD Graphics 770), which can serve as a fallback for troubleshooting or basic display output if the discrete GPU is removed. The platform supports ECC memory, which is a feature often sought after for workstation stability. For a sensible next upgrade, focusing solely on the GPU would be the most impactful change to improve gaming and rendering performance. The CPU and platform are well-equipped to handle a future, more powerful GPU.

Who Should Build It

This build is for a user who prioritizes CPU performance above all else. The target user is a content creator, software developer, or researcher who runs heavily multi-threaded applications and needs the 24 cores and 32 threads of the Core i9-14900. The CPU's 92nd percentile ranking and high Cinebench R23 multicore score of 31070 make it ideal for video encoding, 3D scene simulation, and code compilation, where the GPU's low benchmark score is less relevant.

Gamers, however, should avoid this specific configuration. The GPU's 19th percentile ranking indicates that it will bottleneck gaming performance at any resolution, making the expensive CPU a waste for that purpose. The data suggests that the GPU performs at a level closer to entry-level cards like the NVIDIA Quadro P1000 or Intel Arc Pro B60. For a gaming-focused build, the budget should be redistributed to a higher-performing GPU.

For professionals in small business or academic settings, this system could serve as a powerful workstation for tasks like financial modeling, data analysis, or scientific computing. The CPU's PassMark multithread score of 44578 and data compression score of 550271 are excellent for these workloads. The GPU's 24 GB of VRAM could be useful for large datasets in machine learning or visualization, but its low compute score limits its utility for heavy GPU-accelerated tasks. Ultimately, this build is for the CPU-centric user who needs maximum processing power and is willing to accept a graphics component that underperforms its product tier.

Build Overview

This is a desktop build (buildClass: desktop) pairing an Intel Core i9-14900 with an NVIDIA GeForce RTX 5080 SUPER. The CPU is a 24-core, 32-thread processor with a 92nd percentile ranking, indicating top-tier performance. The GPU is a 50-series card with 24 GB of GDDR7 memory and a 256-bit bus, but its benchmark score places it in the 19th percentile, which is a low position. The combined percentile for this specific pairing is 56.

The overall tier of this build is defined by the CPU. It is a high-end processor in terms of compute capability, with a launch MSRP of $549. The GPU, with a launch MSRP of 999 USD, is positioned as a premium product, but its measured performance data does not support that positioning. The disparity between the CPU and GPU scores makes this an unbalanced system. The CPU is a top-tier part, while the GPU performs like a much lower-tier product. This build is best described as a high-performance workstation CPU paired with a graphics card that is not in the same performance class.

GPU Analysis

The NVIDIA GeForce RTX 5080 SUPER is based on the Blackwell 2.0 architecture and uses the GB203 chip, manufactured on a 5 nm process at TSMC. It is a large chip with 45,600 million transistors on a 378 mm² die. The GPU has a base clock of 2295 MHz and a boost clock of 2617 MHz. Its memory subsystem is substantial, featuring 24 GB of GDDR7 on a 256-bit bus, delivering a bandwidth of 1.02 TB/s.

The GPU is equipped with 10752 shading units, 336 texture mapping units (TMUs), and 112 ROPs. It also includes 84 RT cores and 336 tensor cores, which are designed for ray tracing and AI-accelerated workloads. The theoretical performance figures are high, with an FP32 compute rate of 56.28 TFLOPS and a texture rate of 879.3 GTexel/s. The pixel rate is 293.1 GPixel/s.

However, the only benchmark score for this GPU is a 3DMark Steel Nomad DX12 score of 3075. This score places the GPU in the 19th percentile of all GPUs, and its nearest rivals are the NVIDIA Quadro P1000 (3163), Intel Arc Pro B60 (3182), NVIDIA GeForce 820A (2983), and NVIDIA GeForce GTX 860M (2967). The deltas are small, ranging from -3.4% to 3.6%, indicating that the RTX 5080 SUPER's measured performance is statistically similar to these much older or lower-tier cards. This is a striking result for a GPU with such high specifications. The benchmark data suggests that for rendering and gaming, this GPU would perform at a level consistent with those rival cards, despite its modern architecture and high memory capacity. The 24 GB of VRAM is an asset for large textures and datasets, but the raw compute performance, as measured by the 3DMark test, is not competitive with high-end parts.

Rate My PC: Intel Core i9-14900 + NVIDIA GeForce RTX 5080 SUPER

Power Build

System Balance Analysis

Intel Core i9-14900

NVIDIA GeForce RTX 5080 SUPER

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Balance and Bottleneck

Benchmark Performance

FAQ

Usage Scenarios

Upgrade Path and Platform

Who Should Build It

Build Overview

GPU Analysis

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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