SYSTEM ANALYZER

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

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

88 / 100
HIGH-END

Power Build

Top 12% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
97%
VS
GPU
79%
PROCESSOR

Intel Core i9-14900K

79,097 Benchmark Score
Top 3% Market Ranking
View Full Specs →
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

This analysis examines the Intel Core i9-14900K and NVIDIA GeForce RTX 5080 SUPER pairing, a desktop configuration that combines a high-core-count flagship CPU with a current-generation GPU. The data presented here is derived exclusively from the provided benchmark scores, with all performance interpretations grounded in the CPU’s 95th percentile ranking among all processors, the GPU’s 19th percentile standing, and the combined system’s 57th percentile placement. No measured frame rate data exists for this exact combination, so all gaming performance discussions are estimates based on the underlying compute benchmarks.

Usage Scenarios

High-Refresh Gaming: The CPU’s single-core performance is exceptional, with a Geekbench single-core score of 2655 and a Cinebench R23 single-core score of 2262.5, placing it in the 95th percentile of all CPUs. This indicates that the i9-14900K can feed frames to the GPU without becoming a bottleneck in most gaming scenarios. However, the RTX 5080 SUPER’s 19th percentile GPU ranking and its 3DMark Steel Nomad DX12 score of 3075 suggest that the graphics card is the limiting factor for achieving very high frame rates at demanding settings, meaning users targeting 1080p or 1440p high-refresh gaming would see CPU headroom that the GPU cannot fully utilize.

Streaming: The CPU’s 24 cores and 32 threads provide substantial parallel processing capacity, reflected in a Passmark multithread score of 58674 and a Cinebench R23 multicore score of 39399.5. This hardware parallelism allows for simultaneous game encoding and streaming workloads without significant frame drops. The i9-14900K’s performance is only 0.3% lower than the Intel Core i9-14900KF in average benchmark score, confirming that the integrated UHD Graphics 770 can be left idle while the main GPU handles rendering, with the CPU’s remaining cores dedicated to encoding tasks.

Video Editing: Timeline scrubbing, effect rendering, and export tasks in video editing software benefit from both high single-thread and multi-thread performance. The Cinebench R20 multicore score of 20793 and single-core score of 2935 indicate that the CPU handles both lightweight interface interactions and heavy export workloads effectively. The GPU’s 24 GB of GDDR7 memory provides ample capacity for holding large video buffers and preview frames, though its 19th percentile ranking suggests that GPU-accelerated effects might not be as fast as the CPU portion of the pipeline.

3D Rendering: For CPU-based rendering, the i9-14900K is in the top 5% of all processors, with a Cinebench R15 multicore score of 6103 and a Passmark floating point math score of 152975. These numbers indicate strong performance for ray tracing and physics simulations that rely on CPU compute. The RTX 5080 SUPER’s 84 RT cores and 56.28 TFLOPS FP32 performance provide GPU acceleration for compatible renderers, but its low percentile ranking relative to other GPUs suggests that the CPU would outperform the GPU in pure compute tasks for this particular pairing.

Software Development: Compilation tasks are heavily multithreaded, and the CPU’s Passmark integer math score of 210622 and data compression score of 792694 show strong performance for code compilation and asset packing. The 36 MB of shared L3 cache helps keep frequently accessed code and data close to the cores, reducing latency. The CPU’s 95th percentile ranking means that build times will be shorter than the vast majority of systems, while the GPU’s role in development is minimal, making its lower percentile less impactful for this workload.

Student and Office Work: For document editing, spreadsheet calculations, and web browsing, the CPU’s single-thread performance is more than sufficient, with a Passmark single-thread score of 4697. The integrated UHD Graphics 770 can handle basic display output, and the CPU’s 125 W TDP is modest for a flagship desktop processor. However, the RTX 5080 SUPER’s 415 W TDP is excessive for such workloads, and the 24 GB VRAM would go largely unused, making this build overpowered and inefficient for typical student or office tasks.

GPU Analysis

The NVIDIA GeForce RTX 5080 SUPER is built on the Blackwell 2.0 architecture using TSMC’s 5 nm process, with a die size of 378 mm² and 45,600 million transistors. The GPU features 10752 shading units, 336 texture mapping units, and 112 raster output units, along with 84 RT cores and 336 tensor cores. The memory subsystem consists of 24 GB of GDDR7 on a 256-bit bus, delivering a bandwidth of 1.02 TB/s with an effective memory clock of 2000 MHz (32 Gbps effective). These specifications support a pixel rate of 293.1 GPixel/s and a texture rate of 879.3 GTexel/s.

The GPU’s FP32 performance is rated at 56.28 TFLOPS, with FP16 performance matching at 56.28 TFLOPS (1:1 ratio). The base clock is 2295 MHz with a boost clock of 2617 MHz. For rendering workloads, the 84 RT cores accelerate ray tracing calculations, while the 336 tensor cores handle AI-accelerated features like DLSS. The 1.02 TB/s memory bandwidth is critical for feeding the 10752 shading units at high resolutions, and the 24 GB VRAM capacity allows for large texture sets and complex 3D scenes without swapping to system memory.

However, the benchmark data shows a 3DMark Steel Nomad DX12 score of 3075, which places this GPU in the 19th percentile of all GPUs. The nearest rivals include the NVIDIA Quadro P1000 with a score of 3163 (2.8% higher), the Intel Arc Pro B60 with a score of 3182 (3.4% higher), and the NVIDIA GeForce GTX 860M with a score of 2967 (3.6% lower). This suggests that while the RTX 5080 SUPER has modern features and a large VRAM pool, its raw rendering performance in this specific test is below what the specifications might imply, and it underperforms relative to the CPU’s 95th percentile ranking.

Benchmark Performance

The Intel Core i9-14900K achieves an average benchmark score of 79097, placing it in the 95th percentile of all CPUs. Its nearest rival, the Intel Core i9-14900KF, scores 79371, which is 0.3% higher, indicating that the K variant’s integrated graphics do not significantly impact CPU compute performance. The AMD EPYC 7413 scores 80041, which is 1.2% higher, while the AMD Ryzen AI Max+ 395 scores 77740, which is 1.7% lower. These close margins show that the i9-14900K is competitive with both enterprise and high-end consumer alternatives.

The NVIDIA GeForce RTX 5080 SUPER has an average benchmark score of 3075, placing it in the 19th percentile of all GPUs. This is a substantial drop from the CPU’s percentile position. The GPU’s nearest rival, the NVIDIA Quadro P1000, scores 3163 (2.8% higher), while the NVIDIA GeForce 820A scores 2983 (3.1% lower). The Intel Arc Pro B60 scores 3182 (3.4% higher), and the NVIDIA GeForce GTX 860M scores 2967 (3.6% lower). These comparisons indicate that the RTX 5080 SUPER’s benchmark performance is in the same range as much older or lower-tier GPUs, which is unusual for a 50-series product.

The combined percentile for this CPU+GPU pairing is 57, which reflects the imbalance between the CPU’s top-tier performance and the GPU’s mid-to-low-tier benchmark standing. The CPU’s individual scores—such as the Geekbench multicore score of 21697 and the Passmark multithread score of 58674—show that the processor is capable of handling the most demanding compute workloads. In contrast, the GPU’s single 3DMark score of 3075 suggests that graphics-intensive tasks will not match the CPU’s performance level, creating a system where CPU-bound applications perform at a flagship level while GPU-bound applications lag significantly.

FAQ

Q: What is the CPU’s overall performance ranking among all processors?

A: The Intel Core i9-14900K is in the 95th percentile of all CPUs, with an average benchmark score of 79097. Its nearest rival, the Intel Core i9-14900KF, is only 0.3% faster, while the AMD EPYC 7413 is 1.2% faster.

Q: How does the GPU’s benchmark score compare to its nearest competitors?

A: The RTX 5080 SUPER scores 3075 in 3DMark Steel Nomad DX12, placing it in the 19th percentile. The NVIDIA Quadro P1000 scores 3163 (2.8% higher), the Intel Arc Pro B60 scores 3182 (3.4% higher), and the NVIDIA GeForce GTX 860M scores 2967 (3.6% lower).

Q: What is the combined performance percentile for this CPU and GPU pairing?

A: The combined percentile is 57, which is lower than the CPU’s individual 95th percentile but higher than the GPU’s 19th percentile, indicating that the GPU drags down the overall system ranking.

Q: Does the CPU have integrated graphics?

A: Yes, the Intel Core i9-14900K includes UHD Graphics 770. This integrated GPU allows for basic display output and can be used for troubleshooting, but it does not contribute to the system’s discrete GPU performance.

Q: What type of memory does the CPU support?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration. It also supports ECC memory, which is useful for workstation and server applications that require data integrity.

Q: What is the GPU’s memory capacity and bandwidth?

A: The RTX 5080 SUPER has 24 GB of GDDR7 memory on a 256-bit bus, providing a bandwidth of 1.02 TB/s. The memory clock runs at 2000 MHz with 32 Gbps effective speed.

Q: Is there measured FPS data for this specific CPU and GPU combination?

A: No, there is no measured FPS data available for this exact pairing. All frame rate discussions in this analysis are estimates based on the CPU and GPU benchmark scores, not direct measurements.

Gaming Performance

Since the FACT PACK contains no measured FPS rows for the Intel Core i9-14900K and NVIDIA GeForce RTX 5080 SUPER combination, all frame rate figures presented here are estimates derived from the benchmark scores. The CPU’s 95th percentile ranking and the GPU’s 19th percentile ranking must be interpreted together to project gaming behavior. In CPU-bound scenarios, such as competitive esports titles at 1080p with low settings, the i9-14900K’s strong single-core performance (Geekbench single-core 2655) would allow for very high frame rates, but the GPU’s lower benchmark score suggests that it might not be able to render frames fast enough to fully utilize the CPU’s headroom.

At 1440p resolution, the balance shifts slightly toward the GPU, as the rendering load increases. The RTX 5080 SUPER’s 24 GB VRAM and 1.02 TB/s bandwidth provide ample memory capacity for high-resolution textures, and the 84 RT cores would accelerate ray-traced effects. However, the GPU’s 3DMark score of 3075, which is 2.8% lower than the Quadro P1000 and 3.4% lower than the Intel Arc Pro B60, indicates that raw rasterization performance is not at the level expected from a 50-series card. Estimated frame rates in demanding AAA titles at 1440p ultra settings would likely be moderate, with the GPU being the limiting factor.

At 4K resolution, the GPU’s relatively low percentile becomes more pronounced. The 56.28 TFLOPS FP32 performance and 293.1 GPixel/s pixel rate provide theoretical capability, but the benchmark data suggests that real-world performance would trail other GPUs in the same class. Estimated frame rates at 4K ultra would be lower than what the CPU’s performance would suggest, and users seeking high-refresh 4K gaming would likely be disappointed. The lack of measured FPS data means these figures are qualitative estimates, and the combined 57th percentile ranking for the system indicates that gaming performance would be below average compared to other high-end desktop configurations.

Who Should Build It

Enthusiast Gamers at 1080p and 1440p: Gamers who prioritize CPU-intensive titles, such as strategy games or simulation games that rely on single-thread performance, would benefit from the i9-14900K’s 95th percentile ranking. However, the GPU’s 19th percentile means that gamers seeking maximum frame rates in GPU-bound titles would need to consider a different graphics card. This build is suitable for gamers who play at 1080p or 1440p with settings that favor CPU performance, but it is not ideal for 4K gaming.

Content Creators Focused on CPU Workloads: Video editors, 3D modelers, and software developers who spend most of their time in CPU-intensive applications would see significant benefits from the i9-14900K’s 24 cores and 32 threads. The Cinebench R23 multicore score of 39399.5 and Passmark multithread score of 58674 indicate strong export and rendering times for CPU-based workflows. The GPU’s 24 GB VRAM can still accelerate certain tasks like video encoding and GPU-accelerated effects, but the CPU is the primary workhorse.

Small Business Workstations: For offices running database applications, data analysis, or virtualization workloads, the CPU’s Passmark data compression score of 792694 and data encryption score of 46813 show strong performance for these tasks. The ECC memory support adds reliability for data-sensitive environments. The GPU is overkill for typical office applications, but its presence allows for future expansion into GPU-accelerated workloads without requiring a system rebuild.

Not Recommended for Budget-Conscious Builders: This pairing combines a high-end CPU with a GPU whose benchmark performance does not justify its specifications. Users who need balanced performance for gaming or general-purpose computing would be better served by a less powerful CPU and a more capable GPU. The system’s 57th combined percentile indicates that the overall performance is not as strong as the sum of its parts.

CPU Analysis

The Intel Core i9-14900K is a 24-core, 32-thread processor based on the Raptor Lake architecture, manufactured on Intel’s 10 nm process with a die size of 257 mm². The base clock is 3.20 GHz with a boost clock of 6.00 GHz, and the CPU has a 125 W TDP. It supports dual-channel DDR4 and DDR5 memory with ECC capability, and it connects to the system via PCIe Gen 5 with 16 lanes from the CPU. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache.

The benchmark results show strong performance across a variety of workloads. The Geekbench multicore score of 21697 and Cinebench R23 multicore score of 39399.5 place the CPU in the 95th percentile, confirming its suitability for heavily multithreaded tasks. The Passmark integer math score of 210622 and floating point math score of 152975 indicate robust arithmetic processing, while the Passmark data compression score of 792694 shows excellent throughput for data-intensive applications. The single-core performance, with a Geekbench single-core score of 2655 and Cinebench R23 single-core score of 2262.5, ensures responsive performance for lightly threaded applications.

The CPU’s nearest rival, the Intel Core i9-14900KF, is essentially identical in performance with a 0.3% higher average score, which is within the margin of error. The AMD EPYC 7413, a server-class processor, is 1.2% faster in average score, while the AMD Ryzen AI Max+ 395 is 1.7% slower. This positions the i9-14900K as a top-tier desktop processor that competes favorably with enterprise hardware. The Passmark physics score of 3140 and find prime numbers score of 231 round out the CPU’s profile, showing adequate performance for physics simulations and mathematical operations. The CPU has been available since October 2023 with a launch MSRP of $589.

Build Overview

This build pairs the Intel Core i9-14900K, a desktop processor in the Core 14th Gen series, with the NVIDIA GeForce RTX 5080 SUPER, a desktop GPU in the GeForce 50-series. The CPU is based on the Raptor Lake architecture and represents the top tier of Intel’s consumer lineup, with a 95th percentile ranking among all CPUs. The GPU is based on the Blackwell 2.0 architecture and the GB203 chip, but its 19th percentile ranking places it in a much lower performance tier.

The build class is desktop, and the combined percentile is 57, which is a middling result for a flagship CPU paired with a current-generation GPU. The CPU’s average benchmark score of 79097 dominates the system’s overall performance, while the GPU’s average benchmark score of 3075 contributes relatively little to the combined figure. This configuration is best described as a high-end CPU with a mid-tier GPU, which is an unusual pairing given that the RTX 5080 SUPER has a 415 W TDP and 24 GB of GDDR7 memory.

The CPU’s launch MSRP was $589, and the GPU’s launch MSRP was 999 USD. The production status for both components is active, with the CPU released in October 2023 and the GPU released in December 2025. The system’s overall tier, based on the combined percentile, places it in the middle of the performance spectrum, meaning that while the CPU is at the top of its class, the GPU prevents the system from achieving an overall top-tier ranking.

Balance and Bottleneck

The benchmark data clearly shows that the NVIDIA GeForce RTX 5080 SUPER is the primary bottleneck in this system. The CPU operates in the 95th percentile of all processors, while the GPU sits in the 19th percentile. This 76-point gap indicates that the CPU is capable of feeding data to the GPU far faster than the GPU can process it, leading to a situation where the GPU limits performance in graphics-intensive workloads.

In CPU-bound workloads, such as software compilation, data compression, and 3D rendering using the CPU, the i9-14900K’s performance is exceptional, with scores like the Passmark multithread result of 58674 and the Cinebench R23 multicore score of 39399.5. These tasks would run at a level comparable to the top 5% of all systems. However, in GPU-bound workloads, such as gaming at high resolutions or GPU-accelerated rendering, the RTX 5080 SUPER’s 3DMark score of 3075 would limit performance to a level comparable to much older GPUs.

The system’s combined percentile of 57 reflects this imbalance. If the GPU were replaced with a component whose percentile matched the CPU’s, the combined percentile would likely be significantly higher. The FPS scaling in gaming would show this bottleneck: at lower resolutions where the CPU dominates, frame rates would be high, but at higher resolutions where the GPU becomes the limiting factor, frame rates would drop disproportionately. This suggests that users who prioritize gaming should consider a different GPU, while users who prioritize CPU-heavy workloads can tolerate the GPU’s lower performance.

Upgrade Path and Platform

The Intel Core i9-14900K uses the Intel Socket 1700, which is compatible with Intel’s 12th, 13th, and 14th generation Core processors. The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, and it has 16 PCIe Gen 5 lanes from the CPU. The platform supports ECC memory, which is a feature typically found in workstation-class systems. The CPU’s 125 W TDP is modest, but the RTX 5080 SUPER has a 415 W TDP, meaning the system requires a substantial power supply to handle both components under load.

The GPU connects via PCIe 5.0 x16 and requires a single 16-pin power connector. It is a dual-slot card measuring 304 mm in length, 137 mm in height, and 40 mm in width, so case compatibility must be checked. The display outputs include 1x HDMI 2.1b and 3x DisplayPort 2.1b, supporting modern high-refresh monitors.

For a sensible next upgrade, the CPU has limited headroom within the same socket, as the i9-14900K is already the top-tier processor for Socket 1700. Upgrading to a newer platform would require a new motherboard and possibly new memory. The GPU, however, is the clear bottleneck, and replacing the RTX 5080 SUPER with a higher-performing GPU would dramatically improve the system’s balance. Since the CPU is in the 95th percentile, it would not need to be upgraded for several generations, and the platform’s DDR5 support and PCIe Gen 5 connectivity provide headroom for future components. The PSU requirements are dictated by the GPU’s 415 W TDP, so any upgrade should ensure the power supply can handle the combined load.