SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KF + NVIDIA RTX 4000 Ada Generation

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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98 Score

Top 2% Ranking

98 / 100

ULTIMATE READY

Apex Performer

Top 2% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

97%

GPU

99%

PROCESSOR

Intel Core i9-14900KF

79,371 Benchmark Score

Top 3% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 Benchmark Score

Top 1% 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

View All Games →

Performance Insights

Tips to maximize your system

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 build pairs Intel’s top-tier consumer flagship, the Core i9-14900KF, with NVIDIA’s professional-grade RTX 4000 Ada Generation workstation GPU. The data indicates a desktop-class configuration that sits at the 95th percentile for both components, making it an exceptionally high-performing pairing. While the benchmark scores are definitive, there are no measured FPS rows for this exact combination; all gaming performance figures discussed here are estimates derived from the CPU and GPU’s synthetic benchmark scores.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-oriented graphics card built on the Ada Lovelace architecture, featuring the AD104 chip manufactured on a 5 nm process by TSMC. The GPU houses 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8M per mm². It operates at a base clock of 1500 MHz and a boost clock of 2175 MHz, with memory running at 2250 MHz or 18 Gbps effective.

Memory configuration is a standout feature: the card comes equipped with 20 GB of GDDR6 memory on a 160-bit bus, delivering a bandwidth of 360.0 GB/s. This large memory pool is critical for professional workloads like large 3D scene rendering, machine learning inference, and high-resolution video editing, where data sets often exceed the 8-12 GB capacities found on consumer cards. The 160-bit bus width, while narrower than some rivals, is compensated by the memory speed to achieve the stated bandwidth figure.

The compute capabilities are substantial. With 6144 shading units, 192 texture mapping units (TMUs), and 64 raster operation pipelines (ROPs), the card is well-balanced for both raster and compute tasks. It includes 48 RT cores and 192 tensor cores, the latter being essential for AI-accelerated features like DLSS and professional rendering denoising. The pixel rate is 139.2 GPixel/s, and the texture rate is 417.6 GTexel/s, while FP32 performance is rated at 26.73 TFLOPS, with FP16 achieving the same figure due to a 1:1 ratio.

In synthetic benchmarks, the GPU scores 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan. These scores place it at the 95th percentile among all GPUs, with an average benchmark score of 135,218. The nearest rivals show how tight the competition is: the NVIDIA A10M scores 135,230 (a 0% delta), the AMD Radeon PRO W6800 scores 135,396 (-0.1%), the AMD Radeon Pro W6800X Duo scores 135,774 (-0.4%), and the AMD Radeon PRO V620 scores 136,472 (-0.9%). This means the RTX 4000 Ada is effectively neck-and-neck with its closest competitors, trailing the fastest rival by less than 1%. For rendering workloads, these scores indicate the GPU is highly capable of handling complex, GPU-accelerated tasks, though it is not a class leader by a wide margin—it is part of a tightly clustered group of high-end workstation cards.

Upgrade Path and Platform

The platform is built around the Intel Core i9-14900KF, which uses the Intel Socket 1700 interface. This socket supports the Core 14th Gen series, with the CPU being part of the Raptor Lake architecture refresh. Memory support includes both DDR4 and DDR5, operating in a dual-channel configuration. The CPU provides PCIe Gen 5 connectivity with 16 lanes available for the CPU, while the GPU itself uses a PCIe 4.0 x16 interface, meaning the GPU will operate at its full bandwidth without bottlenecking on the bus.

The CPU has a TDP of 125 W, while the GPU has a TDP of 130 W. The suggested PSU for the entire system is 300 W, which suggests that this pairing is surprisingly power-efficient for its performance class. The GPU requires a single 16-pin power connector and is a single-slot design, measuring 245 mm (9.6 inches) in length and 112 mm (4.4 inches) in height. This makes it physically compact for a workstation card, allowing for installation in smaller chassis or systems with multiple cards, though the single-slot design may limit cooling in constrained environments.

For a sensible next upgrade, the data points toward the CPU being the more limiting factor in the long term. The GPU, with its 20 GB VRAM and high percentile ranking, has substantial headroom for future software demands. The CPU, while currently at the 95th percentile, is on a socket that is likely near the end of its generation, meaning a future upgrade would require a new motherboard. The memory support for both DDR4 and DDR5 gives users flexibility to reuse existing DDR4 modules or migrate to DDR5 for higher bandwidth. The PCIe Gen 5 lanes on the CPU are forward-looking, but the GPU’s PCIe 4.0 interface means current graphics cards will not utilize the newer standard fully.

CPU Analysis

The Intel Core i9-14900KF is a 24-core, 32-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R codename, manufactured on Intel’s 10 nm process. The die size is 257 mm². It has a base clock of 3.20 GHz and a boost clock of 6.00 GHz, with a TDP of 125 W. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB of L3 cache. The CPU supports ECC memory, which is unusual for a consumer part and valuable for workstation stability. It has an unlocked multiplier for overclocking.

Benchmark results are exceptional. In Cinebench R15, it scores 4976 multi-core and 702 single-core. In Cinebench R20, the scores are 20735 multi-core and 2926 single-core. Cinebench R23 shows 49370 multi-core and 6969 single-core. Geekbench scores are 23789 multi-core and 2727 single-core. PassMark results include a multi-thread score of 58405, single-thread of 4685, integer math at 209125, floating point math at 151918, data compression at 785831, data encryption at 46416, extended instructions at 44839, physics at 3159, and random string sorting at 86564. The average benchmark score is 79371, placing it at the 95th percentile among all CPUs.

The nearest rivals show a tight grouping. The Intel Core Ultra 9 290HX Plus scores 79574, which is 0.3% higher. The Intel Core i9-14900K scores 79097, which is 0.3% lower. The AMD EPYC 7413 scores 80041, which is 0.8% higher, and the Intel Xeon w5-2565X scores 80671, which is 1.6% higher. This indicates the i9-14900KF is a top-tier consumer CPU, but it is not the absolute fastest in the database; it trails the nearest rival by a margin of 1.6% at most. For real workloads, the multi-core scores suggest it excels in heavily threaded tasks like video encoding, 3D rendering, and software compilation, while the single-core scores indicate strong performance in everyday applications and lightly threaded games.

Who Should Build It

This pairing is aimed at professionals and power users who need both high CPU throughput and GPU compute capability with substantial VRAM. The 20 GB GPU memory makes this suitable for content creators working with 4K or 8K video editing, complex 3D scene rendering in applications like Blender or Maya, and AI model training or inference where large batch sizes fit in VRAM. The CPU’s 24 cores and high multi-thread scores (49370 in Cinebench R23) make it ideal for software developers compiling large codebases, data scientists running simulations, and researchers performing numerical analysis.

For gamers, this system is overkill in most scenarios, but it targets enthusiasts playing at 4K resolution with maximum settings, where the GPU’s compute power and the CPU’s single-thread performance (6969 in Cinebench R23 single-core) ensure high frame rates. Students in engineering or computer science programs might use this for CAD work or machine learning coursework, though the cost of the components is not a factor in this analysis. Small business workstations handling video production or architectural visualization would benefit from the GPU’s 4x DisplayPort 1.4a outputs, allowing multiple high-resolution monitors. The build is less suited for office productivity or light browsing, where the hardware is massively underutilized.

Benchmark Performance

The combined picture is one of extreme performance. The CPU sits at the 95th percentile with an average score of 79371, and the GPU also sits at the 95th percentile with an average score of 135218. The combined percentile for the build is 95, placing it in the top 5% of all configurations in the database. In CPU benchmarks, the i9-14900KF is 0.3% faster than the i9-14900K but 1.6% slower than the Xeon w5-2565X, showing it is competitive with server-class parts in raw throughput. The GPU is virtually tied with the A10M and Radeon PRO W6800, with deltas of 0% and -0.1% respectively, meaning the choice between these cards would come down to driver optimization and specific software support rather than raw speed.

What does this mean in practice? The CPU’s multi-core score of 49370 in Cinebench R23 is a strong indicator of rendering performance, while the GPU’s Geekbench OpenCL score of 146593 suggests it can handle compute-heavy tasks. The pairing is well-matched because both components are in the same performance tier, avoiding one being a glaring bottleneck for the other. The only caveat is the lack of measured FPS data, so the exact gaming experience is not fully quantified, but the synthetic scores suggest a very high capability ceiling.

Gaming Performance

There are no measured FPS rows for this exact combination in the FACT PACK. The data contains no measuredFps data for this pairing, so all gaming figures discussed here are estimates based on the synthetic benchmark scores. The GPU’s Vulkan score of 123842 and OpenCL score of 146593, combined with the CPU’s single-core score of 6969 in Cinebench R23, suggest that this system is capable of very high frame rates at 1440p and 4K resolutions with ultra settings. At 1080p, the CPU’s strong single-thread performance should prevent bottlenecks, but the GPU is likely underutilized at that resolution.

For competitive titles like first-person shooters, the high boost clock of 6.00 GHz on the CPU and the GPU’s 26.73 TFLOPS of FP32 power should deliver frame rates well above 144 Hz at 1440p, assuming the game is not CPU-limited. For graphically demanding titles with ray tracing, the 48 RT cores and 192 tensor cores will enable features like DLSS, which can boost performance significantly. At 4K, the 20 GB VRAM ensures that texture-heavy games will not run out of memory, but the 360.0 GB/s bandwidth may be a limiting factor compared to higher-bandwidth consumer cards. It is crucial to reiterate that these are estimates; the actual FPS will vary by game and driver version, and the lack of measured data means the user should validate performance with real-world testing.

FAQ

Q: What is the combined performance percentile of this build?

A: The combined percentile for this CPU+GPU pairing is 95, placing it in the top 5% of all configurations in the database.

Q: How does the CPU compare to its nearest rival?

A: The Intel Core i9-14900KF has an average benchmark score of 79371, which is 0.3% higher than the Intel Core i9-14900K and 1.6% lower than the Intel Xeon w5-2565X.

Q: How much VRAM does the GPU have and what is its bandwidth?

A: The NVIDIA RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, providing a bandwidth of 360.0 GB/s.

Q: What is the suggested power supply wattage for this system?

A: The suggested PSU for the RTX 4000 Ada Generation is 300 W, which is relatively low considering the CPU’s TDP of 125 W and the GPU’s TDP of 130 W.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-14900KF supports ECC memory, which is a feature typically found on workstation platforms.

Q: What are the GPU’s scores in OpenCL and Vulkan benchmarks?

A: The GPU scores 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan.

Q: Are there measured FPS figures for this build?

A: No, the FACT PACK contains no measured FPS data for this exact combination; all gaming performance figures are estimates from the benchmark scores.

Build Overview

This is a desktop-class build combining the Intel Core i9-14900KF and the NVIDIA RTX 4000 Ada Generation. The CPU is a 24-core, 32-thread part from the Core 14th Gen series, released on 2023-10-16, with a launch MSRP of $564. The GPU is a workstation card from the GeForce 40-series family, released on 2023-08-08, based on the Ada Lovelace architecture. Both components are currently Active in production status.

The overall tier is top-tier, with both components at the 95th percentile. The CPU’s average benchmark score of 79371 and the GPU’s average benchmark score of 135218 indicate that this system is designed for demanding professional workloads and high-end gaming. The build’s combined percentile of 95 means it outperforms the vast majority of systems in the database. This is a high-end workstation that doubles as an extreme gaming rig, with the GPU’s 20 GB VRAM being the standout feature for future-proofing in AI and content creation.

Balance and Bottleneck

The data indicates a well-balanced pairing, but there are specific workload-dependent bottlenecks. The CPU and GPU both sit at the 95th percentile, which means neither is drastically weaker than the other in synthetic terms. However, the CPU’s average benchmark score of 79371 and the GPU’s average score of 135218 suggest that in raw compute, the GPU is the more dominant component.

For gaming at lower resolutions like 1080p, the CPU’s single-core performance (6969 in Cinebench R23) is likely sufficient to feed the GPU, but the GPU may be underutilized because the CPU can process frames faster than the GPU can render them at that resolution. At 4K, the bottleneck shifts to the GPU, where the 360.0 GB/s bandwidth and 26.73 TFLOPS compute will be the limiting factors for frame rates. For professional workloads like 3D rendering, the CPU’s 24 cores will be the bottleneck in scene preparation and physics simulation, while the GPU takes over for final render passes. The GPU’s nearest rivals are within 1% in performance, meaning any difference in workload efficiency will come from software optimization rather than hardware capability.

The data shows that the CPU is more likely to be the first component to require an upgrade for multitasking or heavily threaded productivity, as its socket is specific to the 14th Gen series, whereas the GPU has a larger VRAM buffer that can handle increasingly complex data sets. The conclusion is that this build is balanced for heavy compute, with the GPU being the stronger partner in graphics and AI tasks, while the CPU is the limiting factor in scenarios requiring extreme multi-threaded throughput beyond its current scores.

Rate My PC: Intel Core i9-14900KF + NVIDIA RTX 4000 Ada Generation

Apex Performer

System Balance Analysis

Intel Core i9-14900KF

NVIDIA RTX 4000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Optimal Performance

4K Gaming Ready

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

GPU Analysis

Upgrade Path and Platform

CPU Analysis

Who Should Build It

Benchmark Performance

Gaming Performance

FAQ

Build Overview

Balance and Bottleneck

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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