SYSTEM ANALYZER

Rate My PC: Intel Core i5-14400 + NVIDIA GeForce RTX 4090 D

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
99%
PROCESSOR

Intel Core i5-14400

32,115 Benchmark Score
Top 10% 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

This build pairs the Intel Core i5-14400 with the NVIDIA GeForce RTX 4090 D, creating a desktop configuration where the GPU is the undisputed performance driver. The combination targets users who prioritize maximum frame rates and rendering throughput over CPU-bound productivity. The data indicates a significant imbalance in raw compute capability, with the GPU’s average benchmark score of 178050 dwarfing the CPU’s 32115. This is not inherently a flaw; it is a design choice for specific workloads. The following analysis uses only the provided benchmark data to outline what this pairing can and cannot do, with all FPS figures treated as estimates due to the absence of measured game data for this exact combination.

Balance and Bottleneck

The performance relationship between these two components is asymmetrical. The RTX 4090 D sits in the 98th percentile of all GPUs, while the i5-14400 sits in the 82nd percentile of all CPUs. This 16-percentile gap indicates that the GPU will be the limiting factor in virtually no scenario; instead, the CPU will constrain the system’s maximum output. In gaming, this means that at lower resolutions where the CPU must process more frames per second, the i5-14400’s single-thread performance will determine the ceiling. Its Cinebench R23 single-core score of 3009 and Geekbench single-core score of 1905 are strong, but they are not in the same tier as the GPU’s compute capacity.

The bottleneck is workload-dependent. For tasks like 3D rendering or GPU-accelerated video encoding, the RTX 4090 D will operate near its full potential, with the CPU feeding it data faster than it can be consumed. The GPU’s FP32 throughput of 73.54 TFLOPS and texture rate of 1,149.1 GTexel/s are immense, and the CPU’s 20 MB of shared L3 cache and 10 cores are sufficient to keep the pipeline busy. However, in CPU-bound scenarios like physics simulation or data compression, the GPU idles while the CPU works. The PassMark physics score of 1396 and data compression score of 314995 highlight that the i5-14400 is competent, but the system’s overall performance will never be balanced in these tasks.

The FPS scaling evidence, though estimated, reinforces this. Without measured FPS data, we rely on the benchmark scores. The GPU’s 3DMark Steel Nomad DX12 score of 8587 suggests it can push frame rates far beyond what most displays can show, but the CPU’s PassMark single-thread score of 3741 will dictate the 1% lows in fast-paced titles. The practical takeaway is that this system is GPU-bound at 4K, likely CPU-bound at 1080p in esports titles, and balanced only when the workload uses both components in parallel, such as game streaming where the CPU handles encoding while the GPU renders.

Benchmark Performance

The CPU delivers a Cinebench R23 multi-core score of 21315 and a single-core score of 3009. In Geekbench, it scores 9807 multi-core and 1905 single-core. These numbers place the i5-14400 in the 82nd percentile of all CPUs, with an average benchmark score of 32115. Its nearest rivals are remarkably close: the Intel Core i7-12800H scores 32121 (0% delta), the Intel Core i7-13705H scores 32076 (0.1% faster), and the Intel Core i5-14450HX scores 32040 (0.2% faster). The only rival that trails it is the Intel Core i9-11900 with a score of 32226, which is 0.3% slower. This means the i5-14400 is effectively tied with a previous-generation high-end laptop chip and a current mid-range mobile chip, highlighting that its desktop advantage is minimal in multi-threaded tasks.

The GPU’s benchmark results are in a different league. The 3DMark Steel Nomad DX12 score is 8587, Geekbench OpenCL is 278621, and Geekbench Vulkan is 246941. The average benchmark score is 178050, placing it in the 98th percentile of all GPUs. Its nearest rivals are all data-center or professional cards: the NVIDIA RTX PRO 5000 Blackwell is 2.2% faster, the A100 SXM4 80 GB is 3.1% faster, the RTX 5000 Ada Generation is 3.6% faster, and the A100 SXM4 40 GB is 4.9% faster. This indicates that the RTX 4090 D performs within a few percentage points of enterprise-grade accelerators, making it a formidable consumer option.

The combined picture is a system with a combined percentile of 90. This means that while each component is strong individually, the CPU pulls the overall score down from what the GPU alone would achieve. The data shows that in a purely GPU-bound workload, this system performs like a top-tier workstation. In CPU-bound workloads, it performs like a mid-range desktop from a few years ago. The benchmark scores do not lie: the GPU is the star, and the CPU is a capable supporting actor that will occasionally steal the spotlight but never outshine the lead.

CPU Analysis

The Intel Core i5-14400 is a 10-core, 16-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It has a base clock of 2.50 GHz and a boost clock of 4.70 GHz, with a TDP of 65 W. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 20 MB of shared L3 cache. The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, and it includes ECC memory support, which is rare for a consumer chip. It is built on Intel’s 10 nm process with a die size of 215 mm² and features UHD Graphics 730 as integrated graphics.

The benchmark scores reveal a processor that excels in single-threaded tasks but is only average in multi-threaded performance relative to its price tier. The Cinebench R20 single-core score of 1263 and R15 single-core score of 303 are solid, but the multicore scores of 8952 and 2148, respectively, show that the 16 threads are not enough to compete with higher-core-count rivals. The PassMark tests provide a nuanced view: integer math scores 82017, floating-point math scores 61549, and extended instructions score 19816. These are strong numbers for productivity, but data encryption (16731) and random string sorting (32346) are less impressive, suggesting that the memory subsystem and cache are not bottlenecks but also not exceptional.

For real workloads, this means the i5-14400 is a strong choice for office productivity, software compilation, and light content creation. The Geekbench multi-core score of 9807 indicates it can handle multi-threaded applications, but it will not be a render monster. The single-thread performance is where it shines, with a PassMark single-thread score of 3741, which is critical for gaming and legacy applications. The lack of a performance core count beyond 6 (the 10 cores are split between P-cores and E-cores, though the pack does not specify the split) means that heavily threaded workloads will plateau, but the 65 W TDP makes it an efficient choice for small-form-factor builds.

Who Should Build It

This system is for users who prioritize GPU-accelerated tasks above all else. Gamers targeting 4K resolution will benefit most, as the RTX 4090 D’s 24 GB of GDDR6X memory and 1.01 TB/s bandwidth will handle the highest texture loads without breaking a sweat, while the CPU’s single-thread performance prevents stuttering in most titles. Content creators working with 8K video or complex 3D scenes will see the GPU’s 14592 shading units and 114 RT cores accelerate renders dramatically, with the CPU providing adequate support for asset loading and scene management.

Software developers who write code that leverages CUDA or Vulkan will find this build ideal, as the GPU’s Geekbench Vulkan score of 246941 indicates strong compute capability for parallel workloads. The CPU’s support for ECC memory is a bonus for developers running long simulations or data processing tasks where memory errors are unacceptable. Students in engineering or computer science programs will benefit from the GPU’s compute power for machine learning projects, though the CPU may be overkill for their needs. Small business workstations that require heavy GPU acceleration for tasks like CAD rendering or video production will see a return on investment, provided the software is optimized for NVIDIA hardware.

The combined percentile of 90 suggests that this build is not for the average user. It is for someone who knows their workflow is GPU-bound and is willing to accept a CPU that is merely adequate. The i5-14400’s 82nd percentile ranking means it is better than most CPUs, but it is not a top-tier part. For a workstation that will spend hours rendering or training models, this is a sensible trade-off. For a general-purpose desktop, the imbalance is wasteful.

GPU Analysis

The NVIDIA GeForce RTX 4090 D is based on the AD102 chip using the Ada Lovelace architecture, built on TSMC’s 5 nm process with 76,300 million transistors on a 609 mm² die. It features 24 GB of GDDR6X memory on a 384-bit bus with 1.01 TB/s of bandwidth. The base clock is 2280 MHz with a boost clock of 2520 MHz, and memory runs at 1313 MHz (21 Gbps effective). The GPU has 14592 shading units, 456 TMUs, 176 ROPs, 114 RT cores, and 456 tensor cores. Its pixel rate is 443.5 GPixel/s, and its texture rate is 1,149.1 GTexel/s, with FP32 and FP16 performance both at 73.54 TFLOPS.

The benchmark scores confirm the GPU’s position as a top-tier consumer part. The 3DMark Steel Nomad DX12 score of 8587 is a measure of modern gaming performance, and the Geekbench OpenCL score of 278621 indicates massive compute throughput. The Vulkan score of 246941 is slightly lower but still exceptional. The 98th percentile ranking means this GPU outperforms 98% of all GPUs ever tested, and its nearest rivals are professional cards like the A100 SXM4 80 GB, which is only 3.1% faster. This places the RTX 4090 D in a class where it can handle any consumer workload and many professional ones.

For rendering, the 24 GB VRAM is critical. It allows loading entire scenes into memory without swapping, which is essential for 4K texture packs and complex 3D models. The 114 RT cores enable real-time ray tracing, and the 456 tensor cores accelerate DLSS and AI-based tasks. The FP32 performance of 73.54 TFLOPS is sufficient for scientific computing and deep learning inference. The 1.01 TB/s bandwidth ensures that data flows quickly to the shaders, preventing stalls in high-resolution workloads. The GPU’s TDP is 425 W, requiring a robust power supply, and its triple-slot design means it needs ample case space.

Usage Scenarios

High-refresh gaming: The RTX 4090 D can push frame rates well beyond 144 Hz at 1440p, but the i5-14400’s single-thread score of 3009 in Cinebench R23 will cap the maximum FPS in CPU-limited titles. At 4K, the GPU becomes the bottleneck, and the system excels. Estimated FPS in esports titles at 1080p will be high, but the CPU may hold back the GPU from reaching its full potential.

Streaming: The GPU’s NVENC encoder (not specified in the pack, but implied by the tensor cores) can handle video encoding without impacting gaming performance. The CPU’s multi-thread score of 21315 in Cinebench R23 means it can also handle software encoding if needed, but the GPU is the better choice. The system is capable of streaming at high bitrates with minimal frame drops, though the CPU’s 10 cores are not overkill for this task.

Video editing: The GPU’s 24 GB VRAM and 73.54 TFLOPS FP32 performance accelerate effects, color grading, and rendering. The CPU’s PassMark floating-point score of 61549 is adequate for timeline scrubbing and codec conversion. Export times will be dominated by the GPU, making this system ideal for 4K or 8K projects.

3D rendering: The GPU’s 14592 shading units and 114 RT cores make it a render beast. The CPU’s Cinebench R23 multi-core score of 21315 is sufficient for scene preparation, but the actual render will be GPU-bound. This system will outperform most workstations in Blender or Octane, provided the software supports CUDA.

Software development: The CPU’s PassMark integer math score of 82017 is strong for compilation, and the 16 threads handle parallel builds well. The GPU can be used for testing compute shaders or running local AI models. The ECC memory support is a plus for long-running tests.

Student and office work: This is overkill. The CPU’s single-thread performance is excellent for spreadsheets and web browsing, but the GPU adds no value for these tasks. The system will idle most of the time, making it a poor choice for a typical student or office worker unless they also do GPU-intensive work.

Gaming Performance

No measured FPS rows exist for this exact combination in the FACT PACK. The dataIsMeasured flag is false, meaning all frame rate figures in this section are estimates derived from the benchmark scores, not direct measurements. The GPU’s 3DMark Steel Nomad DX12 score of 8587 and the CPU’s Cinebench R23 single-core score of 3009 provide the basis for these estimates.

At 1080p with ultra settings, the system will likely be CPU-bound in most games. The i5-14400’s single-thread performance is strong, but it is not the fastest available, and the GPU is capable of rendering far more frames than the CPU can feed. Expect very high frame rates in esports titles like Counter-Strike or Valorant, potentially exceeding 300 FPS, but these are estimates. In AAA single-player games, the CPU will still cap the frame rate around 150-200 FPS, while the GPU has headroom to do more.

At 1440p, the balance shifts. The GPU’s bandwidth and shading power come into play, and the CPU becomes less of a bottleneck. Estimated frame rates in demanding titles like Cyberpunk 2077 will be high, likely in the 150-200 FPS range with DLSS enabled, but again, these are estimates. At 4K, the GPU is the clear bottleneck, and the CPU’s limitation becomes irrelevant. The RTX 4090 D can push 100+ FPS in most titles at 4K ultra, with the CPU providing enough single-thread performance to avoid stutters.

The lack of measured data means these figures should be treated with caution. The benchmark scores indicate the system is capable of exceptional gaming performance, but the exact frame rates will vary by title and driver optimization. The CPU’s PassMark single-thread score of 3741 suggests it will not be a severe bottleneck at 4K, but at lower resolutions, it will limit the GPU’s output.

FAQ

Q: Is the Intel Core i5-14400 a good match for the RTX 4090 D?

A: The data shows a 16-percentile gap, with the CPU at 82 and the GPU at 98. This indicates the CPU will bottleneck the GPU in CPU-bound tasks, but the system is well-suited for GPU-heavy workloads like 4K gaming and 3D rendering.

Q: What is the CPU’s multi-threaded performance compared to its rivals?

A: The i5-14400 scores 32115 on average, which is within 0.3% of the Intel Core i9-11900 and within 0.2% of the Intel Core i5-14450HX. It is effectively tied with these chips, showing it performs at a mid-range level.

Q: How much VRAM does the GPU have, and why is it important?

A: The RTX 4090 D has 24 GB of GDDR6X memory. This is important for loading large textures and complex 3D scenes without swapping, which is critical for 4K gaming and professional rendering.

Q: Does the CPU support ECC memory?

A: Yes, the FACT PACK lists eccMemory as true. This is a feature typically found in workstation chips, and it is beneficial for data-intensive tasks where memory errors are unacceptable.

Q: What is the GPU’s percentile ranking?

A: The RTX 4090 D is in the 98th percentile of all GPUs. Its average benchmark score is 178050, which is within 4.9% of the NVIDIA A100 SXM4 40 GB.

Q: What is the power supply requirement for this system?

A: The GPU has a TDP of 425 W and the suggested PSU is 800 W. The CPU has a TDP of 65 W, so the power supply is sized for the GPU’s demands.

Q: Is the GPU still in production?

A: No, the production status is listed as "End-of-life," with a release date of December 27, 2023. The predecessor is GeForce 30 and the successor is GeForce 50.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700, which supports both DDR4 and DDR5 memory in a dual-channel configuration. This gives builders flexibility, though the memory bus does not specify a bandwidth figure. The CPU has PCIe Gen 5 with 16 lanes (CPU only), which is future-proof for the fastest NVMe SSDs and next-generation GPUs, though the RTX 4090 D uses a PCIe 4.0 x16 interface. The i5-14400 is not multiplier unlocked, so overclocking is not an option; the boost clock of 4.70 GHz is the maximum.

The GPU requires a 1x 16-pin power connector and a suggested PSU of 800 W. The TDP is 425 W, leaving headroom for the CPU and other components, but a high-quality 800 W unit is recommended. The GPU is triple-slot and 304 mm long, so case compatibility is a consideration. The display outputs are 1x HDMI 2.1 and 3x DisplayPort 1.4a, which support high refresh rates at 4K.

A sensible next upgrade would be the CPU. The i5-14400 is the bottleneck in this system, and moving to a higher-core-count chip on Socket 1700 would improve multi-threaded performance. However, the data shows the current CPU is within 0.3% of a Core i9-11900, meaning the upgrade would need to be significant to be noticeable. Alternatively, the GPU is end-of-life, so a future upgrade to the GeForce 50 series would be possible when it launches, but the current GPU is already in the 98th percentile and performs within 3.6% of a professional RTX 5000 Ada Generation card. The memory support for both DDR4 and DDR5 means a platform upgrade could reuse existing DDR4 modules, though this would limit future CPU options. The PCIe Gen 5 support ensures that storage and GPU upgrades will not be bottlenecked by the interface.