SYSTEM ANALYZER

Rate My PC: Intel Core i5-14400 + NVIDIA GeForce RTX 5090

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

94 / 100
ULTIMATE READY

Apex Performer

Top 6% 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
90%
VS
GPU
98%
PROCESSOR

Intel Core i5-14400

32,115 Benchmark Score
Top 10% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090

79,842 Benchmark Score
Top 2% 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 i5-14400 paired with the NVIDIA GeForce RTX 5090 is a desktop configuration that combines a mid-range 14th-generation CPU with the flagship 50-series GPU. The data indicates a significant performance imbalance, with the GPU positioned at the 92nd percentile among all GPUs while the CPU sits at the 82nd percentile; the combined configuration ranks at the 87th percentile. It is critical to note that the FACT PACK contains no measured FPS rows for this exact combination, so all frame-rate discussions are estimated from the individual benchmark scores rather than direct testing.

FAQ

Q: What are the core and thread counts of the Intel Core i5-14400?

A: The CPU features 10 cores and 16 threads, using a Raptor Lake architecture on a 10 nm process node. It has a base clock of 2.50 GHz and a boost clock of 4.70 GHz, with a 65 W TDP.

Q: How much memory does the RTX 5090 have and what is its bandwidth?

A: The GPU comes with 32 GB of GDDR7 memory on a 512-bit bus, delivering a bandwidth of 1.79 TB/s. Its memory clock is 1750 MHz, which translates to 28 Gbps effective.

Q: What is the performance gap between the CPU and its nearest rival?

A: The i5-14400 has an average benchmark score of 32115. Its closest rival, the Intel Core i7-12800H, scores 32121, a delta of 0%. Another rival, the Intel Core i5-14450HX, scores 32040, which is a 0.2% difference.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-14400 supports ECC memory. It also supports both DDR4 and DDR5 memory types in a dual-channel configuration.

Q: What is the suggested power supply wattage for the RTX 5090?

A: The suggested PSU for the NVIDIA GeForce RTX 5090 is 950 W. The GPU itself has a TDP of 575 W and requires a single 16-pin power connector.

Q: What is the GPU's percentile ranking among all GPUs?

A: The RTX 5090 holds the 92nd percentile among all GPUs. Its average benchmark score is 79842, putting it slightly ahead of the NVIDIA Tesla P100 PCIe 16 GB, which has a 0.3% delta.

Q: What is the launch MSRP of the CPU and GPU?

A: The Intel Core i5-14400 has a launch MSRP of $221. The NVIDIA GeForce RTX 5090 has a launch MSRP of 1,999 USD.

Benchmark Performance

The benchmark data reveals a stark contrast between the two components. The RTX 5090 delivers flagship-class compute performance, while the i5-14400 provides solidly mid-range CPU results. In the 3DMark Steel Nomad DX12 test, the GPU scores 18355, a figure that places it definitively in the high-end segment. This is corroborated by its Passmark G3D score of 39650, which is a strong indicator of raw graphics horsepower. The GPU's average benchmark score of 79842 sits at the 92nd percentile, meaning it outperforms the vast majority of graphics cards in the database.

The CPU's performance profile is more modest but still respectable. In Cinebench R23, the i5-14400 scores 21315 in multi-core and 3009 in single-core. These numbers suggest a capable processor for everyday tasks and multi-threaded workloads, though it does not reach the heights of the GPU. The CPU's average benchmark score is 32115, placing it at the 82nd percentile. Its nearest rival, the Intel Core i7-12800H, has a nearly identical average score of 32121, showing a 0% delta, meaning the i5-14400 is effectively on par with that mobile processor in aggregate benchmarks.

The combined percentile for this CPU+GPU pairing is 87, which reflects the GPU's dominance in pulling the overall score upward. The data shows a clear picture: the GPU is the primary performance driver, contributing the majority of the system's raw compute capability. The CPU, while not a bottleneck for many tasks, will likely limit the GPU in highly CPU-bound scenarios. The Geekbench scores further illustrate this, with the GPU achieving 334370 in OpenCL and 376728 in Vulkan, numbers that dwarf the CPU's Geekbench multi-core score of 9807.

Usage Scenarios

For high-refresh gaming at 1080p or 1440p, the RTX 5090's raw power suggests it can push extremely high frame rates, but the i5-14400's single-core performance, as indicated by its Cinebench R23 single-core score of 3009, may become a limiting factor in esports titles where CPU overhead is significant. At 4K resolution, the GPU's 32 GB of VRAM and 104.8 TFLOPS of FP32 performance become the dominant factors, making the pairing more balanced as the resolution shifts the bottleneck to the GPU.

Streaming while gaming benefits from the GPU's dedicated hardware. The RTX 5090 includes 170 RT cores and 680 tensor cores, which can handle encoding and AI-enhanced features like DLSS. The CPU's 16 threads, evidenced by its Passmark multithread score of 25080, provide adequate headroom for background tasks like streaming software, though the 65 W TDP suggests it may run warmer under sustained load.

Video editing in applications like Premiere Pro will leverage the GPU's compute power. The 3DMark Steel Nomad score of 18355 and the Passmark GPU compute score of 26756 indicate strong acceleration for effects and rendering. The CPU's Cinebench R20 multi-core score of 8952 ensures smooth timeline scrubbing and basic editing tasks, but the GPU will handle the heavy lifting for exports and complex effects.

3D rendering in Blender or similar software is heavily GPU-accelerated. The RTX 5090's 21760 shading units and 1,636.8 GTexel/s texture rate provide massive parallel processing capability. The i5-14400's Cinebench R15 multi-core score of 2148 shows it can handle scene preparation and physics calculations, but the render time will be dominated by the GPU's performance.

Software development and compilation tasks are more CPU-bound. The i5-14400's Passmark integer math score of 82017 and data encryption score of 16731 indicate solid performance for code compilation and data processing. The CPU's 20 MB of shared L3 cache helps with frequent data access patterns common in development workloads, though it will not match the throughput of higher-end workstation CPUs.

For student and office work, this configuration is massively over-provisioned. The CPU's Geekbench single-core score of 1905 and Passmark single-thread score of 3741 are more than sufficient for document editing, web browsing, and spreadsheet tasks. The GPU's power is irrelevant for these workloads, meaning the system would run well under its capabilities, though the 575 W GPU TDP means the system will consume significant power even at idle.

Upgrade Path and Platform

The Intel Core i5-14400 uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. The CPU provides Gen 5 PCIe with 16 lanes, allowing for a fast connection to the RTX 5090, which uses a PCIe 5.0 x16 interface. The platform's memory support means builders can choose between more affordable DDR4 or faster DDR5, depending on motherboard selection.

The RTX 5090 requires a 950 W suggested PSU, which provides significant headroom for the 575 W GPU TDP and the 65 W CPU TDP. This headroom is sufficient for the current configuration, and the 16-pin power connector is a modern standard. The system's power delivery is not a limiting factor for this pairing, but the 950 W PSU leaves room for future upgrades to higher-TDP CPUs or additional components.

A sensible next upgrade would be a higher-core-count CPU on the same LGA 1700 socket, such as a Core i9 part, which would better match the GPU's performance ceiling. The current CPU's 82nd percentile ranking suggests it is the weaker link in this pairing, so upgrading the CPU would yield the most significant performance gains in CPU-bound workloads. The GPU, being in the 92nd percentile, is at the top of the stack and unlikely to need an upgrade for several generations.

The platform also supports ECC memory, which is a feature typically found in workstation-class systems. This makes the configuration viable for professional environments where data integrity is critical, though the consumer-grade CPU and GPU are not typically marketed for this use case. The PCIe Gen 5 support ensures that storage and other peripherals will not bottleneck the system in the near term.

GPU Analysis

The NVIDIA GeForce RTX 5090 is built on the Blackwell 2.0 architecture using a 5 nm process at TSMC. The GB202 chip contains 92,200 million transistors on a 750 mm² die, yielding a transistor density of 122.9M / mm². This hardware foundation supports a massive array of compute units: 21760 shading units, 680 TMUs, and 176 ROPs, which together produce a pixel rate of 423.6 GPixel/s and a texture rate of 1,636.8 GTexel/s.

The memory subsystem is a key strength. With 32 GB of GDDR7 on a 512-bit bus, the GPU achieves 1.79 TB/s of bandwidth. This is essential for high-resolution textures and large datasets in AI or rendering workloads. The memory clock of 1750 MHz (28 Gbps effective) ensures that the memory bandwidth does not become a bottleneck for the GPU's compute capabilities.

The RT and tensor cores are prominent features. With 170 RT cores and 680 tensor cores, the GPU is designed for real-time ray tracing and AI-accelerated features. The FP32 performance of 104.8 TFLOPS, with FP16 also at 104.8 TFLOPS (1:1 ratio), indicates balanced compute for both single-precision and half-precision workloads. The benchmark scores reflect this: the 3DMark Steel Nomad DX12 score of 18355 is a strong indicator of DirectX 12 gaming performance, while the Geekbench Vulkan score of 376728 shows excellent cross-API compatibility.

The GPU's Passmark scores vary by API generation. It scores 395 in DirectX 9, 341 in DirectX 11, 226 in DirectX 10, and 185 in DirectX 12, which is counterintuitive but reflects the specific test conditions. The G3D score of 39650 is a high-level summary of graphics performance, while the GPU compute score of 26756 indicates strong compute capabilities for non-graphics tasks. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern software.

Who Should Build It

This configuration targets users who prioritize GPU performance above all else. Gamers playing at 4K resolution with maximum settings will benefit most from the RTX 5090's 32 GB VRAM and high bandwidth, as the GPU's 92nd percentile ranking ensures it can handle the most demanding titles. The CPU's 82nd percentile is adequate for 4K gaming, where the GPU is typically the bottleneck, making this pairing viable for that specific use case.

Content creators working with 8K video or complex 3D scenes will find the GPU's compute power indispensable. The 3DMark Steel Nomad score of 18355 and the 104.8 TFLOPS FP32 performance provide the raw compute needed for rendering and effects. The CPU's 16 threads are sufficient for managing the workflow, though a higher-end CPU would reduce render times for CPU-based effects.

Software developers working on large codebases will see moderate benefits. The CPU's Passmark integer math score of 82017 and data compression score of 314995 indicate solid compilation and data processing speeds. However, the GPU's power is largely wasted in this scenario, so developers would be better served by a more balanced build with a stronger CPU.

Students and small business workstations are not well-served by this configuration. The CPU's single-core performance is fine for office tasks, and the GPU is overkill for document editing or spreadsheet work. The 575 W GPU TDP makes this a power-hungry build that generates significant heat, which is unnecessary for these workloads. This is a specialized build for performance enthusiasts, not a general-purpose machine.

The build is also suitable for AI researchers or data scientists who need massive VRAM for model training. The 32 GB of GDDR7 memory and 680 tensor cores provide the capacity and compute for large neural networks. The CPU's ECC memory support adds reliability, though the consumer platform is not as robust as a true workstation setup.

CPU Analysis

The Intel Core i5-14400 is a 14th-generation desktop processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It has 10 cores and 16 threads, with a base clock of 2.50 GHz and a boost clock of 4.70 GHz. The 10 nm process node, manufactured by Intel, results in a die size of 215 mm². The CPU is not multiplier-unlocked, limiting overclocking potential.

The cache hierarchy consists of 80 KB of L1 per core, 1.25 MB of L2 per core, and 20 MB of shared L3. This cache configuration supports the CPU's data access patterns, particularly in multi-threaded workloads. The CPU supports DDR4 and DDR5 memory in dual-channel mode, with ECC memory as an option, and provides Gen 5 PCIe with 16 lanes for the GPU.

Benchmark results show a balanced performance profile. The Cinebench R23 multi-core score of 21315 and single-core score of 3009 indicate strong multi-threading capability relative to its core count. The Geekbench multi-core score of 9807 and single-core score of 1905 are consistent with this. In Passmark tests, the CPU scores 25080 in multithread, 3741 in single-thread, and 82017 in integer math, showing solid all-around performance.

The CPU's 82nd percentile ranking places it above average but not in the top tier. Its nearest rivals include the Intel Core i7-12800H, which has an identical average score of 32121 (0% delta), and the Intel Core i5-14450HX, which scores 32040 (0.2% delta). This puts the i5-14400 in the same league as these processors, making it a mid-range option that competes well with previous-generation high-end mobile parts.

The integrated UHD Graphics 730 is present but not intended for gaming. The CPU's 65 W TDP is modest, making it efficient for its performance level. In this configuration, the CPU will likely be the limiting factor in CPU-intensive scenarios, such as high-refresh gaming at lower resolutions or heavy multitasking, where its 16 threads may be saturated before the GPU reaches its full potential.

Build Overview

This is a desktop-class build combining the Intel Core i5-14400 with the NVIDIA GeForce RTX 5090. The configuration represents a pairing of a mid-range CPU with a flagship GPU, resulting in a system that is heavily skewed toward graphics performance. The combined percentile of 87 reflects the overall performance tier, which is high but not at the very top due to the CPU's more modest ranking.

The RTX 5090 is the dominant component, with an average benchmark score of 79842 and a 92nd percentile ranking. It is a dual-slot card measuring 304 mm in length, 137 mm in height, and 40 mm in width, requiring a 950 W PSU. The i5-14400, with an average score of 32115 and an 82nd percentile, is a competent but not exceptional CPU. The combination is best described as a GPU-centric system where the graphics card is the primary investment.

The data indicates that this build is not balanced. The GPU's performance is in the top 8% of all GPUs, while the CPU is in the top 18% of all CPUs. This disparity suggests that the system is designed for workloads that are heavily GPU-accelerated, such as high-resolution gaming, 3D rendering, or AI compute. For general-purpose tasks or CPU-bound applications, the GPU's potential would be underutilized.

The build class is desktop, confirming it is a stationary system rather than a laptop. The GPU's 575 W TDP and the CPU's 65 W TDP together require a robust power supply, which the suggested 950 W unit provides with ample headroom. The overall tier, based on the 87th combined percentile, places this system in the high-performance segment, suitable for enthusiasts and professionals who demand top-tier graphics capability.

Balance and Bottleneck

The performance data clearly identifies the CPU as the bottleneck in this configuration. The GPU's 92nd percentile and average score of 79842 dwarf the CPU's 82nd percentile and average score of 32115. In GPU-intensive workloads like 3D rendering or gaming at high resolutions, the GPU will operate at near-full capacity, while the CPU handles the necessary background tasks without issue. However, in CPU-bound scenarios, the i5-14400 will limit the system's overall throughput.

In gaming, the bottleneck shifts depending on resolution. At lower resolutions like 1080p, the CPU's single-core performance, indicated by its Cinebench R23 score of 3009, will likely cap frame rates before the GPU reaches its maximum. At 4K, the GPU's 32 GB VRAM and 1.79 TB/s bandwidth become the dominant factor, and the CPU's 10 cores provide sufficient support to keep the GPU fed. The data suggests that this pairing is more balanced at higher resolutions.

For compute workloads, the imbalance is less problematic. The GPU's 104.8 TFLOPS of FP32 performance and 26756 Passmark GPU compute score handle the bulk of parallel processing, while the CPU's 16 threads manage data preparation and I/O. The CPU's Passmark data encryption score of 16731 and data compression score of 314995 indicate it can keep up with data transfer to the GPU, but it will not accelerate the compute itself.

The FPS estimates, derived from the benchmark scores rather than measured data, suggest that in GPU-bound scenarios, the system will perform at a level consistent with the GPU's 92nd percentile ranking. In CPU-bound scenarios, the performance will align more closely with the CPU's 82nd percentile. The delta between these two percentiles—10 points—quantifies the potential bottleneck: the CPU may hold back the GPU by approximately that margin in the most CPU-sensitive tasks.

The upgrade path is clear. Replacing the i5-14400 with a higher-performing LGA 1700 CPU would reduce the bottleneck and bring the system closer to a balanced state. The GPU, being near the top of its class, does not need an upgrade for this build to achieve its full potential. The data shows that the current configuration is GPU-limited in most scenarios, which is a suitable trade-off for users who prioritize graphics performance over CPU compute.