SYSTEM ANALYZER

Rate My PC: Intel Core i5-14600 + NVIDIA GeForce RTX 4090 D

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

96 / 100
ULTIMATE READY

Apex Performer

Top 4% 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
93%
VS
GPU
99%
PROCESSOR

Intel Core i5-14600

44,889 Benchmark Score
Top 7% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4090 D

178,050 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 i5-14600 paired with the NVIDIA GeForce RTX 4090 D creates a striking imbalance in a desktop build, where the GPU’s raw capabilities vastly outpace the CPU’s processing headroom in most scenarios. The data places this combination at the 94th percentile overall, driven almost entirely by the GPU’s 98th percentile ranking against all GPUs, while the CPU sits at the 89th percentile against all CPUs. In practical terms, the RTX 4090 D is the undisputed performance driver, but the i5-14600 is not a passive passenger; it is a capable mid-range processor that can feed the GPU in many workloads, though it will become the limiting factor in high-FPS, CPU-bound gaming scenarios. The benchmark data shows no measured FPS rows for this exact combination, so all frame rate discussions are estimates derived from the individual component scores rather than direct testing.

Balance and Bottleneck

The core of this pairing’s character is the delta between the CPU and GPU performance percentiles: 89 for the processor versus 98 for the graphics card. This 9-point gap is significant, indicating that the GPU is operating in a performance tier that the CPU cannot fully support in every situation. The i5-14600’s average benchmark score of 44889 is nearly identical to its nearest rivals, such as the Intel Core i9-12900KS at 45094 (a 0.5% difference) and the AMD EPYC 4344P at 45122 (also 0.5% behind). This suggests the CPU is a solid, predictable performer, but it lacks the top-end multi-threaded muscle of higher-tier chips that could keep a GPU like the RTX 4090 D fully saturated.

The bottleneck manifests differently across workload types. In multi-threaded productivity tasks, the CPU’s 14 cores and 20 threads provide substantial throughput, as evidenced by a Cinebench R23 multi-core score of 30464 and a Geekbench multi-core score of 14680. These figures are respectable, but the data shows the GPU’s compute capabilities are in another league entirely, with an FP32 throughput of 73.54 TFLOPS. For rendering tasks that leverage GPU acceleration, the RTX 4090 D will dominate, and the CPU will spend much of its time feeding data rather than computing. Conversely, in single-threaded workloads, the i5-14600’s boost clock of 5.20 GHz delivers strong performance, with a Cinebench R23 single-core score of 4300, which is sufficient to avoid severe stalling in most applications.

The most telling evidence of imbalance comes from the gaming context, where the CPU’s 89th percentile position is respectable but not elite. In CPU-bound scenarios, such as esports titles at lower resolutions where frame rates are extremely high, the i5-14600 will likely cap performance before the RTX 4090 D can reach its full potential. The GPU’s pixel rate of 443.5 GPixel/s and texture rate of 1,149.1 GTexel/s are enormous, and achieving such output requires a constant stream of draw calls and physics calculations from the CPU. The data suggests that at 1440p and 4K, the GPU becomes the primary bottleneck for most modern titles, as the resolution scaling shifts the load away from the processor, but at 1080p with high refresh rates, the CPU’s limitations will be exposed. The PassMark single-thread score of 4167 supports this, showing solid but not class-leading single-core performance.

Upgrade Path and Platform

The i5-14600 is built on the Intel Socket 1700 platform, which is a mature ecosystem that offers both DDR4 and DDR5 memory support through a dual-channel memory bus. This flexibility is a notable advantage for builders, as it allows for cost-effective builds using existing DDR4 modules or higher-performance DDR5 kits, depending on the motherboard choice. The CPU also supports ECC memory, which is a feature typically associated with workstation platforms, making this pairing viable for entry-level professional use where data integrity is critical. The platform’s PCIe implementation includes Gen 5 with 16 lanes from the CPU, providing ample bandwidth for the latest NVMe storage drives and ensuring that the GPU is not starved for data, though the RTX 4090 D itself uses a PCIe 4.0 x16 interface.

The power delivery requirements of this build are substantial, driven almost entirely by the GPU. The RTX 4090 D has a TDP of 425 W, and NVIDIA recommends a suggested PSU of 800 W for the system. This is a critical consideration for any upgrade path, as the existing power supply must have sufficient headroom to handle the GPU’s transient power spikes, which can exceed its rated TDP. The CPU, by contrast, has a TDP of just 65 W, which is remarkably low for a 14-core processor and indicates that it will not add significant stress to the power delivery system. This means that the PSU headroom is almost exclusively for the GPU, and any future CPU upgrade that increases power draw could potentially require a new power supply if the 800 W recommendation is already at its limit.

The upgrade path for this platform is somewhat constrained, as the Socket 1700 is associated with the 12th, 13th, and 14th generation Intel Core processors, and the i5-14600 is already a Raptor Lake Refresh part. The most sensible next upgrade, based on the data, would be to move to a higher-core-count CPU within the same socket, such as an i7 or i9 from the 14th generation, which would provide additional multi-threaded performance to better match the GPU’s capabilities in productivity workloads. However, the data does not specify the exact performance of those chips, so the benefit is qualitative. The GPU is end-of-life, with the GeForce 50 series as its successor, so a future upgrade would involve moving to a newer platform entirely, including a new motherboard and memory. For now, the platform is capable and well-balanced for most tasks, but the CPU will become the limiting factor for gamers seeking maximum frame rates.

FAQ

Q: Is the Intel Core i5-14600 a good match for the NVIDIA GeForce RTX 4090 D?

A: The pairing is unbalanced, with the GPU at the 98th percentile and the CPU at the 89th percentile. The data indicates the GPU will be the primary performance driver in most workloads, but the CPU can create a bottleneck in CPU-bound gaming scenarios at high frame rates.

Q: What memory types does the i5-14600 support?

A: The CPU supports both DDR4 and DDR5 memory through a dual-channel memory bus, providing flexibility for builders to choose between cost-effective DDR4 or higher-performance DDR5 kits.

Q: Does the RTX 4090 D support hardware ray tracing?

A: Yes, the GPU is based on the Ada Lovelace architecture and includes 114 RT cores specifically designed for ray tracing workloads, along with 456 tensor cores for AI-accelerated tasks.

Q: What power supply is recommended for this build?

A: The GPU has a TDP of 425 W, and the suggested PSU rating is 800 W. The CPU has a much lower TDP of 65 W, so the power supply requirement is driven almost entirely by the graphics card.

Q: How does the i5-14600 compare to its nearest rival, the Intel Core i9-12900KS?

A: The average benchmark score of the i5-14600 is 44889, which is 0.5% lower than the i9-12900KS’s score of 45094. This indicates nearly identical overall performance despite the i5 being a lower-tier part.

Q: What is the memory bandwidth of the RTX 4090 D?

A: The GPU features 24 GB of GDDR6X memory on a 384-bit bus, resulting in a total bandwidth of 1.01 TB/s, which is critical for high-resolution textures and compute workloads.

Q: Is the i5-14600’s integrated graphics usable for this build?

A: The CPU includes UHD Graphics 770, but the discrete RTX 4090 D will be the primary display adapter. The integrated GPU can be used for troubleshooting or as a backup, but it is not needed for performance.

Who Should Build It

This configuration is tailored for users who prioritize GPU-accelerated workloads and gaming at high resolutions, where the RTX 4090 D’s dominance can be fully utilized. Gamers targeting 4K resolution with maximum settings will see the most benefit, as the GPU’s 98th percentile ranking and 24 GB of VRAM provide ample headroom for demanding titles. At this resolution, the CPU’s 89th percentile performance is less likely to be a limiting factor, as the workload shifts heavily toward the GPU. For 1440p gaming, the pairing is still strong, but the i5-14600 will begin to show its limits in high-refresh-rate scenarios where frame rates exceed the CPU’s ability to process game logic.

Content creators and professionals working with GPU-accelerated rendering, video editing, or 3D modeling will find this build compelling. The RTX 4090 D’s FP32 throughput of 73.54 TFLOPS and 1.01 TB/s memory bandwidth make it a powerhouse for tasks like real-time ray tracing, AI inference, and large dataset processing. The CPU’s 14 cores and 20 threads, while not top-tier, provide sufficient multi-threaded performance for tasks like video encoding and compiling, with Cinebench R23 multi-core scores of 30464 indicating it can handle moderate productivity workloads. The inclusion of ECC memory support on the CPU is a distinct advantage for small business workstations or research environments where data accuracy is paramount.

Developers and students in computer science or data science fields will appreciate the balance of compute power and memory capacity. The GPU’s tensor cores enable accelerated machine learning training and inference, while the CPU’s 24 MB of shared L3 cache and 2 MB per-core L2 cache provide solid performance for code compilation and simulation. The platform’s support for both DDR4 and DDR5 memory offers flexibility for budget-conscious builders. However, this is not a build for casual users or those on a tight budget, as the GPU alone represents a massive investment, and the CPU will be underutilized in most everyday tasks. It is a purpose-built machine for high-end gaming and professional compute, not a general-purpose office PC.

Benchmark Performance

The combined performance picture is dominated by the GPU’s exceptional scores, with the RTX 4090 D achieving an average benchmark score of 178050, placing it at the 98th percentile against all GPUs. Its nearest rivals include the NVIDIA RTX PRO 5000 Blackwell at 182109 (2.2% higher), the NVIDIA A100 SXM4 80 GB at 183725 (3.1% higher), and the NVIDIA RTX 5000 Ada Generation at 184664 (3.6% higher). This shows that while the RTX 4090 D is not the absolute fastest GPU in every metric, it is within a small percentage of professional-grade workstation cards that cost significantly more. In specific tests, the GPU scores 8587 in 3DMark Steel Nomad DX12, 278621 in Geekbench OpenCL, and 246941 in Geekbench Vulkan, indicating strong performance across both rasterization and compute APIs.

The CPU’s performance is solid but unremarkable in comparison, with an average benchmark score of 44889, placing it at the 89th percentile. Its nearest rivals are the Intel Core i9-12900KS at 45094 (0.5% higher), the AMD EPYC 4344P at 45122 (0.5% higher), and the AMD Ryzen 5 7500X3D at 44573 (0.7% lower). This tight clustering shows that the i5-14600 is a well-rounded performer that trades blows with higher-tier and more specialized chips. In Cinebench R23, it scores 30464 multi-core and 4300 single-core, while in Geekbench it scores 14680 multi-core and 2424 single-core. The PassMark multi-thread score is 35848, and the single-thread score is 4167, confirming its position as a capable mid-range processor. The combined percentile of 94 for the entire build reflects the GPU’s high standing, but the CPU’s lower percentile is a reminder that this is not a perfectly balanced system.

GPU Analysis

The NVIDIA GeForce RTX 4090 D is a behemoth of a graphics card, built on the Ada Lovelace architecture with a chip designation of AD102 and manufactured on a 5 nm process by TSMC. The chip contains 76,300 million transistors on a 609 mm² die, resulting in a transistor density of 125.3 million per square millimeter. It features 14,592 shading units, 456 texture mapping units, and 176 render output units, which produce a pixel rate of 443.5 GPixel/s and a texture rate of 1,149.1 GTexel/s. The GPU’s FP32 compute performance is rated at 73.54 TFLOPS, with FP16 performance at the same 73.54 TFLOPS (1:1), indicating a focus on raw compute throughput rather than mixed-precision optimization.

Memory is a key strength, with 24 GB of GDDR6X on a 384-bit bus, delivering a massive 1.01 TB/s of bandwidth. The memory operates at 1313 MHz with an effective speed of 21 Gbps, ensuring that the GPU can feed its enormous compute units without stalling. For AI and ray tracing workloads, the card includes 114 RT cores and 456 tensor cores, which accelerate ray-traced rendering and AI inference tasks. The base clock is 2280 MHz with a boost clock of 2520 MHz, and the card has a TDP of 425 W, requiring a triple-slot cooler and a single 16-pin power connector, with a suggested PSU of 800 W. The bus interface is PCIe 4.0 x16, and display outputs include 1x HDMI 2.1 and 3x DisplayPort 1.4a.

In terms of benchmark results, the RTX 4090 D scores 8587 in 3DMark Steel Nomad DX12, which is a demanding test of modern rasterization and ray tracing. The Geekbench OpenCL score of 278621 and Vulkan score of 246941 highlight its compute capabilities across different APIs. The GPU’s 98th percentile ranking places it among the very best consumer and professional cards, and its average score of 178050 is only 2-5% lower than much more expensive workstation cards like the RTX PRO 5000 Blackwell and A100 SXM4. For rendering and compute tasks, this GPU is an exceptional choice, offering near-top-tier performance in a consumer package.

CPU Analysis

The Intel Core i5-14600 is a 14-core, 20-thread processor from the Core 14th Gen series, based on the Raptor Lake architecture with the codename Raptor Lake-R. It is manufactured on Intel’s 10 nm process and has a die size of 257 mm². The CPU features a base clock of 2.70 GHz and a boost clock of 5.20 GHz, with a TDP of 65 W. The cache hierarchy includes 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 24 MB of shared L3 cache. It supports dual-channel DDR4 and DDR5 memory, and includes ECC memory support, which is a notable feature for a desktop processor. The integrated GPU is UHD Graphics 770, and the CPU is unlocked, meaning it cannot be overclocked via multiplier adjustment, though it does support PCIe Gen 5 with 16 lanes.

The benchmark results paint a picture of a strong mid-range processor. In Cinebench R15, it scores 3070 multi-core and 433 single-core; in R20, it scores 12794 multi-core and 1806 single-core; and in R23, it scores 30464 multi-core and 4300 single-core. Geekbench scores are 14680 multi-core and 2424 single-core. PassMark tests show particular strengths in data compression (434620) and integer math (117078), while floating-point math scores 85759 and extended instructions score 25674. The multi-thread score is 35848, and the single-thread score is 4167. These results indicate that the CPU is well-suited for multi-threaded productivity tasks, with its 14 cores providing significant parallel processing power, but it is not a top-tier enthusiast chip, as evidenced by its 89th percentile ranking.

The CPU’s performance is closely matched with its nearest rivals, all within 1% of its average score. The Intel Core i9-12900KS is 0.5% higher, the AMD EPYC 4344P is 0.5% higher, and the AMD Ryzen 5 7500X3D is 0.7% lower. This suggests that the i5-14600 is a well-optimized part that delivers performance comparable to older flagship chips, making it a sensible choice for a balanced build. However, in the context of pairing with the RTX 4090 D, the CPU will be the limiting factor in high-FPS gaming scenarios, as its single-thread performance, while good, is not exceptional enough to keep up with the GPU’s massive frame output at lower resolutions. For most other workloads, the CPU provides adequate support, and its low TDP of 65 W makes it an efficient choice.

Build Overview

This desktop build combines the Intel Core i5-14600 with the NVIDIA GeForce RTX 4090 D, representing a pairing of a mid-range processor with a flagship graphics card. The build class is desktop, and its combined percentile of 94 indicates that it outperforms the vast majority of systems in the benchmark database. The GPU is the clear star, with its 98th percentile ranking and average score of 178050, while the CPU’s 89th percentile and average score of 44889 are respectable but secondary. This is a system built for maximum GPU performance, whether for high-resolution gaming or professional compute workloads, and the CPU is chosen to provide adequate support without breaking the power budget, given its 65 W TDP versus the GPU’s 425 W.

The overall tier of this build is high-end, driven by the GPU’s exceptional capabilities. The RTX 4090 D is an end-of-life product, with the GeForce 50 series as its successor, but it remains a formidable performer that can handle the most demanding tasks. The CPU, while not the fastest available, is a current-generation part that offers a good balance of multi-threaded and single-threaded performance, as seen in its Cinebench R23 scores of 30464 multi-core and 4300 single-core. The pairing is not perfectly balanced, but for users who spend most of their time in GPU-accelerated applications, the i5-14600 is a cost-effective way to power the RTX 4090 D without bottlenecking it in most scenarios. For gamers, this build is best suited for 4K gaming, where the GPU’s dominance is fully realized.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact CPU-GPU combination, so the following frame rate discussion is estimated from the individual benchmark scores of the components. The RTX 4090 D’s 98th percentile ranking and its 3DMark Steel Nomad DX12 score of 8587 indicate that it is capable of running the most demanding games at maximum settings with high frame rates at 4K resolution. The GPU’s 24 GB of VRAM and 1.01 TB/s memory bandwidth provide ample headroom for high-resolution textures and ray tracing effects. In contrast, the i5-14600’s 89th percentile ranking and PassMark single-thread score of 4167 suggest that it can handle most game logic, but it may struggle to keep up with the GPU at lower resolutions where frame rates are extremely high.

At 4K resolution, the GPU is expected to be the primary bottleneck, and the system should deliver excellent performance in most titles, with frame rates well above 60 FPS in graphically intensive games. At 1440p, the balance shifts, and the CPU’s limitations may become apparent in esports titles or games with complex physics, where frame rates could be capped by the processor. At 1080p, the CPU will likely be the limiting factor, and users may not see the full benefit of the RTX 4090 D’s power, as the i5-14600 will struggle to push frame rates beyond what its single-thread performance allows. These are estimates based on the benchmark data, and actual performance will vary depending on the specific game and settings. The data clearly shows that this build is optimized for high-resolution gaming, where the GPU’s strengths are most apparent.