SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900K + NVIDIA RTX 5000 Ada Generation

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

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%
VS
GPU
99%
PROCESSOR

Intel Core i9-14900K

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

NVIDIA RTX 5000 Ada Generation

184,664 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

The Intel Core i9-14900K and NVIDIA RTX 5000 Ada Generation form a desktop pairing that targets the very top of the benchmark charts, with the CPU sitting in the 95th percentile of all processors and the GPU in the 98th percentile of all graphics cards. This combination achieves a combined percentile of 97, indicating that both components are operating near the peak of their respective categories. The data shows a workstation-class GPU paired with a high-end consumer processor, creating a system that is unusually strong in both compute-heavy professional tasks and high-refresh gaming, though the absence of measured FPS data for this exact combination means all gaming frame rates discussed here are estimates derived from the raw benchmark scores.

FAQ

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

A: The combined percentile for the Intel Core i9-14900K and NVIDIA RTX 5000 Ada Generation is 97, meaning this pairing outperforms 97% of all other CPU and GPU combinations in the benchmark database.

Q: How does the RTX 5000 Ada Generation compare to the NVIDIA A100 SXM4 80 GB in average benchmark score?

A: The RTX 5000 Ada Generation has an average benchmark score of 184664, which is 0.5% higher than the NVIDIA A100 SXM4 80 GB, which scores 183725.

Q: What is the difference in average benchmark score between the Core i9-14900K and the Intel Core i9-14900KF?

A: The Core i9-14900K has an average benchmark score of 79097, while the i9-14900KF scores 79371. The deltaPct is -0.3%, meaning the i9-14900K is 0.3% slower than the i9-14900KF in this metric.

Q: Does the RTX 5000 Ada Generation support DirectX 12 Ultimate?

A: Yes, the GPU supports DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4.

Q: How much memory does the RTX 5000 Ada Generation have, and what is its memory bandwidth?

A: The GPU has 32 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s.

Q: What is the boost clock speed of the Intel Core i9-14900K?

A: The boost clock speed is 6.00 GHz, while the base clock is 3.20 GHz.

Q: What is the suggested PSU wattage for the RTX 5000 Ada Generation?

A: The suggested PSU wattage is 600 W, with the GPU itself having a TDP of 250 W.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is built on the AD102 chip using a 5 nm process from TSMC, with a massive 76,300 million transistors packed into a 609 mm² die. The GPU is equipped with 32 GB of GDDR6 memory, which is a substantial amount of VRAM for any workload, and the 256-bit memory bus delivers 576.0 GB/s of bandwidth. The memory clock runs at 2250 MHz, translating to 18 Gbps effective, which is sufficient for feeding the GPU’s compute units in memory-intensive tasks. The card operates at a base clock of 1155 MHz and boosts to 2550 MHz, with a TDP of 250 W and a suggested PSU of 600 W, making it a high-power component that requires a robust power supply.

The GPU has 12800 shading units, 400 texture mapping units, and 176 ROPs, which are the raw building blocks for rasterization and pixel processing. The pixel rate is 448.8 GPixel/s and the texture rate is 1,020.0 GTexel/s, indicating that the GPU can handle extremely high resolutions and complex textures. For ray tracing, the card includes 100 RT cores, and for AI-accelerated workloads, it has 400 tensor cores. The FP32 performance is 65.28 TFLOPS, with FP16 also at 65.28 TFLOPS (1:1), meaning that the GPU does not have a separate boost for half-precision operations. This is a workstation-oriented card, as evidenced by its 4x DisplayPort 1.4a outputs and its dual-slot design with a 1x 16-pin power connector.

In terms of benchmark scores, the RTX 5000 Ada Generation achieves a Geekbench OpenCL score of 175286 and a Geekbench Vulkan score of 194041, with an average benchmark score of 184664. This places it in the 98th percentile of all GPUs, making it one of the most powerful graphics cards available. The nearest rivals include the NVIDIA A100 SXM4 80 GB, which scores 183725 (0.5% lower), the NVIDIA A100 SXM4 40 GB at 187147 (1.3% higher), the NVIDIA RTX PRO 5000 Blackwell at 182109 (1.4% lower), and the NVIDIA GeForce RTX 4090 D at 178050 (3.7% lower). The data indicates that the RTX 5000 Ada Generation is competitive with data-center-class accelerators like the A100 series, which is remarkable for a workstation card. For rendering workloads, the combination of 32 GB VRAM, high FP32 throughput, and dedicated RT and tensor cores means that the GPU can handle large scenes, complex shading, and AI denoising without significant bottlenecks.

Benchmark Performance

The Intel Core i9-14900K has an average benchmark score of 79097, placing it in the 95th percentile of all CPUs. Its nearest rivals are the Intel Core i9-14900KF with an avgScore of 79371 (deltaPct -0.3%), the Intel Core Ultra 9 290HX Plus with 79574 (-0.6%), the AMD EPYC 7413 with 80041 (-1.2%), and the AMD Ryzen AI Max+ 395 with 77740 (1.7%). This means the i9-14900K is nearly identical in performance to the i9-14900KF, slightly behind the Core Ultra 9 290HX Plus and the EPYC 7413, but ahead of the Ryzen AI Max+ 395 by 1.7%. The CPU’s multi-core Cinebench R23 score is 39399.5, while the single-core score is 2262.5, showing that it excels in both heavily threaded and lightly threaded workloads.

The NVIDIA RTX 5000 Ada Generation has an average benchmark score of 184664 and sits in the 98th percentile of all GPUs. As noted, it is 0.5% ahead of the A100 SXM4 80 GB and 3.7% ahead of the GeForce RTX 4090 D, but 1.3% behind the A100 SXM4 40 GB. The GPU’s Geekbench Vulkan score of 194041 is notably higher than its OpenCL score of 175286, suggesting that the card performs better in Vulkan-based applications. The combined percentile of 97 for this CPU+GPU pairing indicates that the system is in the top 3% of all configurations in the database.

The combined picture is that this pairing is extremely balanced at the high end. The CPU’s 95th percentile and the GPU’s 98th percentile mean that neither component is likely to be the primary bottleneck in most workloads, though the GPU is slightly stronger relative to its peers. The data shows that the CPU is about 1.7% ahead of the Ryzen AI Max+ 395, while the GPU is 3.7% ahead of the RTX 4090 D, indicating that the GPU has a slightly larger performance advantage over its rivals than the CPU does. This suggests that for tasks that are heavily GPU-bound, such as rendering or AI inference, the system will perform even better relative to other builds than it does in CPU-bound tasks.

Upgrade Path and Platform

The Intel Core i9-14900K uses the Intel Socket 1700, which is the platform for Intel’s 12th, 13th, and 14th generation processors. The CPU is based on the Raptor Lake architecture, specifically the Raptor Lake-R codename, and is manufactured on a 10 nm process with a die size of 257 mm². It supports both DDR4 and DDR5 memory, with a dual-channel memory bus, and it includes ECC memory support, which is unusual for a consumer processor and is a nod to workstation use cases. The CPU has 16 PCIe Gen 5 lanes, which is the direct CPU-attached PCIe interface, and it includes integrated graphics in the form of UHD Graphics 770.

The RTX 5000 Ada Generation uses a PCIe 4.0 x16 bus interface, which means it is compatible with the i9-14900K’s PCIe Gen 5 slots, though it will run at PCIe 4.0 speeds. The GPU has a TDP of 250 W, and the suggested PSU is 600 W, which is a modest requirement given the GPU’s performance level. The CPU has a TDP of 125 W, so the combined system power draw is estimated to be within the headroom of a 600 W power supply, though a high-quality 600 W unit with the required 1x 16-pin connector would be necessary. The GPU is dual-slot and 267 mm long, so it should fit in most mid-tower or full-tower cases, and the 4x DisplayPort 1.4a outputs allow for multi-monitor setups.

For a sensible next upgrade, the data suggests that the CPU has limited headroom on the same platform, as the i9-14900K is already near the top of the Socket 1700 lineup, with the i9-14900KF being 0.3% faster. The GPU, however, has a successor in the Blackwell PRO W, which is not benchmarked in this pack, so no direct comparison is available. The platform as a whole supports DDR5, which is the more modern memory standard, and users looking to upgrade would likely start with faster DDR5 memory or a newer generation GPU, though the RTX 5000 Ada Generation is still in active production and has a strong performance position.

Balance and Bottleneck

The balance between the Intel Core i9-14900K and the RTX 5000 Ada Generation can be assessed by comparing their percentile positions. The GPU sits in the 98th percentile, while the CPU is in the 95th percentile, indicating that the GPU is the stronger component relative to its peers. In gaming workloads that are typically CPU-bound at lower resolutions or with high frame rates, the CPU’s 95th percentile position suggests it can keep up with the GPU’s demands, but the 3-percentage-point gap means there are scenarios where the CPU could limit the GPU’s full potential. For example, in a game that is highly dependent on single-threaded performance, the i9-14900K’s Cinebench R23 single-core score of 2262.5 is strong, but the GPU’s massive compute power might not be fully utilized in such scenarios.

In compute workloads like 3D rendering or AI training, the GPU is the primary bottleneck, as these tasks are massively parallel and scale with the GPU’s 65.28 TFLOPS of FP32 performance. The CPU’s multi-core score of 39399.5 in Cinebench R23 is sufficient to feed the GPU with data, but the GPU will be the limiting factor for overall throughput. The data shows that the GPU is 3.7% ahead of the RTX 4090 D, so any game or application that is GPU-bound will see the system perform at a level that is among the best available. Conversely, the CPU is only 1.7% ahead of the Ryzen AI Max+ 395, so in a CPU-bound scenario, the system’s advantage over rival builds is smaller.

The FPS scaling, which is not measured for this exact combination, would be influenced by this balance. In games at 1080p or 1440p with high refresh rates, the CPU is more likely to be the bottleneck, as the frame rate is often limited by the processor’s ability to issue draw calls. At 4K, the GPU becomes the limiting factor, and the RTX 5000 Ada Generation’s 98th percentile position would ensure high frame rates in most titles. The data suggests that this is a well-balanced system for 4K gaming and heavy compute, but at lower resolutions, the CPU’s slightly lower percentile could cap performance.

Gaming Performance

No measured FPS data exists for this exact combination of the Intel Core i9-14900K and NVIDIA RTX 5000 Ada Generation. The FACT PACK contains no measuredFpsUltraByGame entries, and the pairRankByFps is null, so all frame rate figures presented here are estimates derived from the benchmark scores and percentile positions. The GPU’s 98th percentile and the CPU’s 95th percentile suggest that this system is capable of extremely high frame rates, but the exact numbers depend on the game and resolution.

Based on the GPU’s performance, which is 3.7% ahead of the RTX 4090 D in average benchmark score, the system would be expected to deliver high frame rates at 1440p and 4K resolutions. The CPU’s Cinebench R23 single-core score of 2262.5 and Geekbench single-core score of 2655 indicate that the processor can handle the per-thread demands of modern game engines. For esports titles that are CPU-bound, such as competitive shooters, the system would likely achieve very high frame rates at 1080p, potentially exceeding the refresh rates of most monitors. For AAA titles at 4K, the GPU’s 32 GB of VRAM and high texture rate would allow for ultra-quality settings, though the exact FPS would vary by title.

The lack of measured FPS data means that these estimates should be treated as approximations. The GPU’s 100 RT cores and 400 tensor cores would provide strong ray tracing performance in supported games, though the data does not specify ray tracing benchmark scores. The Vulkan score of 194041 is higher than the OpenCL score of 175286, suggesting that games using Vulkan would perform particularly well. Overall, the system is estimated to be a top-tier gaming platform, but without measured FPS, the data cannot confirm specific frame rates for any game.

CPU Analysis

The Intel Core i9-14900K is a 24-core, 32-thread processor based on the Raptor Lake architecture, with a base clock of 3.20 GHz and a boost clock of 6.00 GHz. The 10 nm process from Intel is used for this chip, which has a die size of 257 mm². The cache hierarchy includes 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 36 MB of shared L3 cache, providing ample on-chip storage for frequently accessed data. The CPU supports both DDR4 and DDR5 memory, with a dual-channel memory bus, and includes ECC memory support, which is a feature typically found in server processors. The integrated UHD Graphics 770 provides a fallback display output, while the 16 PCIe Gen 5 lanes offer high-bandwidth connectivity for GPUs and NVMe storage.

In Cinebench R15, the CPU scores 6103 in multi-core and 324.5 in single-core, while in Cinebench R20, the scores are 20793 and 2935, respectively. The Cinebench R23 multi-core score is 39399.5, and the single-core score is 2262.5. These scores show that the CPU is exceptionally strong in multi-threaded workloads, with the R23 multi-core score being nearly 17 times the single-core score, indicating excellent scaling across its 24 cores. In Geekbench, the multi-core score is 21697 and the single-core score is 2655, which is consistent with the Cinebench results. The Passmark tests show a multi-thread score of 58674, with specific workloads like data compression at 792694, data encryption at 46813, extended instructions at 45154, floating point math at 152975, integer math at 210622, physics at 3140, and random string sorting at 86971. The single-thread Passmark score is 4697, which is high for a desktop processor.

The CPU’s 95th percentile position means it outperforms 95% of all CPUs in the database. The nearest rival, the i9-14900KF, is only 0.3% faster, indicating that the integrated graphics on the i9-14900K are the only meaningful difference between the two chips. The AMD EPYC 7413 is 1.2% faster, but that is a server processor with a different focus. For real workloads, the CPU’s high multi-threaded performance is ideal for video editing, 3D rendering, and software compilation, while the strong single-threaded scores ensure responsiveness in everyday applications and games. The 32 threads allow for heavy multitasking, and the 36 MB of L3 cache helps with data-heavy workloads.

Build Overview

This build combines the Intel Core i9-14900K, a 24-core desktop processor with a 95th percentile ranking, with the NVIDIA RTX 5000 Ada Generation, a workstation GPU with a 98th percentile ranking. The build class is desktop, and the combined percentile is 97, placing this system in the top 3% of all configurations in the database. The CPU is part of Intel’s Core 14th Gen series, released on 2023-10-16, with a launch MSRP of $589. The GPU is part of the Workstation Ada generation, released on 2023-08-08, with no launch MSRP listed in the data.

The overall tier of this build is extremely high, as both components are near the top of their respective categories. The CPU’s average benchmark score of 79097 is within 1.2% of the AMD EPYC 7413, a server-class chip, while the GPU’s average benchmark score of 184664 is competitive with data-center accelerators like the NVIDIA A100 SXM4 series. This makes the build a hybrid between a high-end gaming PC and a professional workstation, capable of handling both entertainment and production workloads with ease. The 32 GB of VRAM on the GPU is a key feature for large datasets in AI and visualization, while the CPU’s 32 threads handle complex simulations and compilations.

The pairing is unusual because the i9-14900K is a consumer processor while the RTX 5000 Ada Generation is a professional workstation card, but the data shows that they are well-matched in terms of performance tier. The CPU’s 95th percentile is slightly lower than the GPU’s 98th percentile, but the difference is small enough that neither component is grossly mismatched. This build is suitable for users who need the best of both worlds: high-refresh gaming and professional-grade compute.

Who Should Build It

The Intel Core i9-14900K and RTX 5000 Ada Generation build is targeted at users who demand the highest level of performance in both CPU and GPU intensive tasks. Gamers at 4K resolution would benefit from the GPU’s 98th percentile performance, which is 3.7% ahead of the GeForce RTX 4090 D, and the 32 GB of VRAM ensures that future games with high texture requirements will run smoothly. The CPU’s 95th percentile single-threaded performance, with a Geekbench single-core score of 2655, ensures that even at lower resolutions, the processor can deliver high frame rates without bottlenecking the GPU.

Content creators, particularly video editors and 3D renderers, would find this build ideal. The CPU’s Cinebench R23 multi-core score of 39399.5 is excellent for rendering tasks, while the GPU’s 65.28 TFLOPS of FP32 performance accelerates GPU-based rendering engines. The 32 GB of VRAM allows for large scenes and high-resolution textures to be loaded entirely into memory, reducing the need for swapping. Software developers would benefit from the CPU’s 32 threads, which speed up compilation times, and the GPU’s tensor cores could be used for machine learning development. Students and small business workstations would be over-served by this build, but the ECC memory support and active production status make it a viable option for professional environments where reliability is paramount.

Usage Scenarios

High-Refresh Gaming: The CPU’s 95th percentile and the GPU’s 98th percentile suggest that this system can drive high refresh rate monitors at 1440p and 4K resolutions. The CPU’s single-core Cinebench R23 score of 2262.5 is strong enough for esports titles, while the GPU’s 65.28 TFLOPS of FP32 power handles demanding AAA games. Without measured FPS data, the exact frame rates are estimates, but the percentiles indicate top-tier performance.

Streaming: The CPU’s 24 cores and 32 threads, with a Passmark multi-thread score of 58674, provide ample headroom for encoding video while gaming. The GPU’s 400 tensor cores could also be used for AI-based encoding or upscaling, though the data does not specify such features. The system should handle streaming and gaming simultaneously without stuttering.

Video Editing: The CPU’s Cinebench R23 multi-core score of 39399.5 is ideal for timeline rendering and effect processing, while the GPU’s 32 GB of VRAM allows for smooth scrubbing of high-resolution footage. The GPU’s Geekbench OpenCL score of 175286 indicates strong compute performance in applications that use GPU acceleration for filters and transcoding.

3D Rendering: The GPU’s 65.28 TFLOPS of FP32 performance and 100 RT cores make this a powerful rendering workstation. The 32 GB of VRAM can hold large scenes, and the CPU’s multi-core score ensures that CPU-based simulations and physics calculations are completed quickly. The GPU is 0.5% faster than the A100 SXM4 80 GB in average benchmark score, indicating it can handle professional render workloads.

Software Development: The CPU’s 32 threads and high integer math score of 210622 in Passmark speed up code compilation and test execution. The GPU’s tensor cores are useful for developers working on AI models, and the ECC memory support on the CPU provides data integrity for long-running builds. The system’s 97th combined percentile ensures it can handle any development task.

Student and Office Work: This build is excessively powerful for typical student or office tasks, but the CPU’s integrated UHD Graphics 770 provides a fallback display output if the discrete GPU is not needed. The system’s high performance would ensure that even the most demanding spreadsheet or database applications run instantly, though the power draw of 250 W for the GPU and 125 W for the CPU is far beyond what is necessary for such workloads.