SYSTEM ANALYZER

Rate My PC: Intel Core i5-14400 + NVIDIA RTX 5000 Ada Generation

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

95 / 100
ULTIMATE READY

Apex Performer

Top 5% 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 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 i5-14400 and NVIDIA RTX 5000 Ada Generation represent a highly asymmetric pairing, combining a mainstream desktop processor with a top-tier workstation graphics card. The data indicates a desktop build with a combined performance percentile of 90, placing it in the upper echelon of all systems. However, the benchmark scores reveal a significant gap between the CPU’s 82nd percentile ranking and the GPU’s 98th percentile ranking, suggesting that the processor will likely be the limiting factor in many graphics-intensive workloads. This analysis examines the individual components, their combined benchmark picture, and the practical implications for various usage scenarios.

CPU Analysis

The Intel Core i5-14400 is a 10-core, 16-thread processor based on the Raptor Lake architecture, manufactured on Intel's 10 nm process node. It features a base clock of 2.50 GHz and a boost clock of 4.70 GHz, with a 65 W TDP. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 20 MB L3 cache. This configuration supports dual-channel DDR4 and DDR5 memory and includes ECC memory support, a feature typically associated with workstation reliability. The CPU connects via PCIe Gen 5 with 16 lanes, and its integrated UHD Graphics 730 provides a basic display output capability, though it is not intended for demanding graphical tasks.

In synthetic benchmarks, the i5-14400 demonstrates strong multi-threaded performance for its class. Its Cinebench R23 multicore score of 21,315 points is substantial, while the single-core score of 3,009 points indicates solid per-thread performance. The Geekbench multicore score of 9,807 and single-core score of 1,905 corroborate this balanced profile. More specialized Passmark tests show varied strengths: the processor excels in integer math with a score of 82,017 and floating-point math with 61,549, but its find prime numbers score of 80 is notably lower, indicating a relative weakness in that specific workload. The data encryption score of 16,731 and data compression score of 314,995 suggest capable performance for archival and security tasks.

The average benchmark score for the i5-14400 is 32,115, placing it in the 82nd percentile of all CPUs. Its nearest rivals provide context for this position. The Intel Core i7-12800H has an average score of 32,121, a 0% delta, meaning the i5-14400 is statistically tied with this mobile processor. Similarly, the Core i7-13705H (32,076, 0.1% delta) and Core i5-14450HX (32,040, 0.2% delta) are also within a fraction of a percent. The Core i9-11900 scores 32,226, which is -0.3% relative to the i5-14400, meaning the i5 is actually slightly ahead of that older desktop flagship. These results indicate that the i5-14400 delivers performance on par with several higher-tier mobile and previous-generation desktop chips, making it a very capable mid-range desktop processor. For real workloads, this translates to smooth handling of everyday productivity, responsive compilation times for software development, and adequate performance for most content creation tasks, though it will not match the multi-core throughput of higher-core-count workstation CPUs.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, using the AD102 chip manufactured on a 5 nm process at TSMC. It houses 76,300 million transistors on a 609 mm² die, resulting in a transistor density of 125.3M per mm². The GPU features 12,800 shading units, 400 texture mapping units, and 176 render output units. Critically for modern workloads, it includes 100 RT cores and 400 tensor cores, providing dedicated hardware for ray tracing and AI-accelerated tasks. The memory subsystem consists of 32 GB of GDDR6 memory on a 256-bit bus, delivering a bandwidth of 576.0 GB/s. The memory clock operates at 2250 MHz, with an effective data rate of 18 Gbps.

The compute capabilities of the RTX 5000 Ada are substantial. It achieves a pixel rate of 448.8 GPixel/s and a texture rate of 1,020.0 GTexel/s. Its FP32 performance is rated at 65.28 TFLOPS, with matching FP16 performance at a 1:1 ratio. The GPU clocks run at a base of 1155 MHz and boost to 2550 MHz. Power consumption is rated at 250 W, with a suggested power supply of 600 W and a single 16-pin power connector. The card is dual-slot and measures 267 mm in length, requiring a reasonably spacious case. It provides four DisplayPort 1.4a outputs and supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

In benchmark tests, the RTX 5000 Ada Generation scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan. Its average benchmark score is 184,664, placing it in the 98th percentile of all GPUs. This is an exceptionally high ranking, indicating top-tier performance. The nearest rivals highlight its position. The NVIDIA A100 SXM4 80 GB has an average score of 183,725, a 0.5% delta relative to the RTX 5000 Ada, making them essentially equivalent in these tests. The A100 SXM4 40 GB scores 187,147, which is -1.3% relative, meaning the RTX 5000 Ada is slightly behind that card. The RTX PRO 5000 Blackwell scores 182,109, a 1.4% delta, and the GeForce RTX 4090 D scores 178,050, a 3.7% delta. These comparisons show that the RTX 5000 Ada Generation is competitive with the A100, which is a data-center-focused accelerator, and comfortably ahead of the RTX 4090 D. For rendering and compute workloads, the 32 GB VRAM is a critical asset, allowing for large datasets and complex scenes to reside entirely in GPU memory, and the 576.0 GB/s bandwidth supports high-throughput data movement.

Benchmark Performance

The combined benchmark data shows a clear picture of a high-performance system with a significant CPU-GPU imbalance. The CPU’s average benchmark score of 32,115 places it in the 82nd percentile, a solidly above-average result. In contrast, the GPU’s average score of 184,664 places it in the 98th percentile, which is among the very best available. The combined percentile for the build is 90, reflecting the strong overall performance driven primarily by the GPU.

There is no measured FPS data for this exact CPU and GPU combination; the FACT PACK contains no measuredFpsUltraByGame entries. Consequently, all game-specific frame rates discussed in this analysis are estimates derived from the component benchmark scores. The CPU’s Cinebench R23 single-core score of 3,009 and the GPU’s 98th percentile ranking suggest that the system is capable of high frame rates in most titles, but the CPU’s 82nd percentile may constrain performance in CPU-bound scenarios. The GPU’s 65.28 TFLOPS of FP32 compute power and 100 RT cores indicate excellent potential for both traditional rasterization and ray-traced workloads. The 32 GB of VRAM ensures that even the most demanding textures and highest resolutions will not exceed memory capacity. The combined picture is one of a system that can handle virtually any graphics task, but whose overall responsiveness in gaming will be gated by the processor’s more modest capabilities.

FAQ

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

A: The combined percentile for the build is 90, indicating that it outperforms 90% of all systems in the benchmark database.

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

A: The RTX 5000 Ada Generation has an average benchmark score of 184,664, while the A100 SXM4 80 GB has an average score of 183,725. The delta is 0.5%, meaning the RTX 5000 Ada is essentially at parity with the A100 in these tests.

Q: What memory types does the Intel Core i5-14400 support?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, and it also supports ECC memory.

Q: What is the boost clock speed of the Intel Core i5-14400?

A: The boost clock is 4.70 GHz, with a base clock of 2.50 GHz.

Q: Does the RTX 5000 Ada Generation have dedicated hardware for ray tracing?

A: Yes, it includes 100 RT cores specifically designed for ray tracing acceleration.

Q: What is the memory bandwidth of the RTX 5000 Ada Generation?

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

Q: Is the CPU or the GPU more likely to be the limiting factor in this build?

A: The CPU is more likely to be the limiting factor. The CPU is in the 82nd percentile, while the GPU is in the 98th percentile, suggesting the processor will bottleneck the GPU in many workloads.

Balance and Bottleneck

The performance data reveals a pronounced bottleneck at the CPU. The GPU’s 98th percentile ranking vastly exceeds the CPU’s 82nd percentile ranking. In practical terms, this means that in workloads that are heavily parallel and GPU-accelerated, such as 3D rendering or machine learning inference, the system will perform exceptionally well, with the GPU operating near its full potential. However, in tasks that are more dependent on single-threaded CPU performance or that require the CPU to feed the GPU with data, the i5-14400 may struggle to keep pace. This is particularly relevant in gaming, where the CPU must handle game logic and physics while the GPU renders frames. The CPU’s Cinebench R23 single-core score of 3,009 is respectable, but the gap between the two components suggests that frame rates in many games will be lower than what the GPU could theoretically deliver on its own.

The FPS scaling in games would be directly impacted by this imbalance. In a game at lower resolutions, such as 1080p, the CPU is often the primary constraint, and the high-end GPU may be underutilized. The estimated frame rates would be limited by the CPU’s ability to process draw calls and game state updates. At higher resolutions, such as 4K, the GPU becomes the more significant factor, and the system would likely show better scaling, as the GPU’s rendering time dominates the frame time. The 32 GB VRAM and high bandwidth of the RTX 5000 Ada mean that texture streaming and memory-intensive effects will not be a problem, but the CPU’s 20 MB of L3 cache and 10 cores might limit the complexity of game worlds that can be simulated. For professional workloads, the balance is more favorable. Video editing software that leverages GPU acceleration for effects and encoding will see massive speedups, while the CPU handles timeline editing and project management. The data suggests that this build is a powerful workstation for GPU-centric tasks, but it is not a balanced gaming platform.

Who Should Build It

This build is suited for professionals and enthusiasts whose primary workloads are heavily GPU-accelerated. The RTX 5000 Ada Generation’s 98th percentile ranking and 32 GB VRAM make it an ideal choice for 3D artists, video editors, and engineers working with large models or high-resolution footage. The CPU’s 82nd percentile ranking ensures that general system responsiveness and tasks like code compilation or asset processing will be handled competently. However, it is not the optimal choice for gamers seeking maximum frame rates, particularly at 1080p, due to the CPU bottleneck. Gamers at 4K resolution would benefit more from this pairing, as the GPU’s workload becomes the dominant factor. Content creators who work with 8K video or complex 3D scenes would find the GPU’s memory capacity and compute power invaluable. Software developers working on large codebases would appreciate the 10 cores and 16 threads for parallel builds, though they would not see the same performance advantage as in GPU-bound tasks. Students and small business workstations would be over-served by this configuration, as the GPU’s capabilities far exceed the needs of typical office applications.

Usage Scenarios

High-refresh gaming: At 1080p, the CPU’s 82nd percentile will likely limit frame rates, preventing the system from fully utilizing the GPU’s potential. Estimated performance would be good but not exceptional for a 240 Hz monitor. At 1440p and 4K, the GPU becomes the bottleneck, and frame rates would be very high, making this a capable system for high-refresh 1440p or 4K gaming, though the CPU remains a limiting factor for maximum FPS.

Streaming: The GPU’s NVENC encoder, part of the Ada Lovelace architecture, offloads video encoding from the CPU. The 10-core CPU can handle game logic and streaming software simultaneously, though the CPU bottleneck may affect game performance while streaming. The 32 GB VRAM ensures that streaming at high bitrates and resolutions will not impact rendering performance.

Video editing: The RTX 5000 Ada Generation’s 65.28 TFLOPS of FP32 compute power and 576.0 GB/s bandwidth will accelerate effects rendering, timeline scrubbing, and export times significantly. The 32 GB VRAM allows for smooth editing of 8K RAW footage or complex multi-layer compositions without memory errors. The CPU’s multi-threaded score of 21,315 in Cinebench R23 will handle codec decoding and timeline operations adequately.

3D rendering: This is the ideal scenario for this build. The GPU’s 98th percentile ranking and 100 RT cores will deliver near-top-tier performance in ray-traced renders. The 32 GB VRAM permits entire scenes and textures to be loaded into GPU memory, reducing the need for memory swapping. CPU-based rendering would be slower, but the i5-14400’s 16 threads provide acceptable performance for hybrid CPU/GPU workflows.

Software development: The CPU’s Passmark integer math score of 82,017 and multithread score of 25,080 indicate strong performance for compiling code and running build servers. The 16 threads will handle parallel compilation tasks efficiently. The GPU is underutilized here, but its presence does not detract from development tasks. The system’s 90th combined percentile ensures a snappy development environment.

Student and office work: This configuration is massively overpowered for document editing, web browsing, and spreadsheet tasks. The CPU’s single-core score of 3,009 in Cinebench R23 ensures responsive application performance, but the GPU’s capabilities are unused. The system would operate with substantial headroom, but the cost of the GPU makes this an impractical choice for such workloads.

Build Overview

This is a desktop build that pairs the Intel Core i5-14400, a mainstream 14th-generation processor, with the NVIDIA RTX 5000 Ada Generation, a professional workstation GPU. The CPU is a 10-core, 16-thread part from the Raptor Lake family, while the GPU is based on the Ada Lovelace architecture with 32 GB of GDDR6 memory. The combined performance percentile of 90 places this system in the top 10% of all benchmarked configurations. The CPU’s 82nd percentile and the GPU’s 98th percentile define its character: it is a workstation-class machine optimized for GPU-accelerated tasks, with a processor that is competent but not exceptional. The build is active and current, with the CPU released in January 2024 and the GPU in August 2023.

Gaming Performance

No measured FPS data exists for this specific CPU and GPU combination. The FACT PACK contains no measuredFpsUltraByGame entries, so all frame rate figures discussed here are estimates based on the component benchmark scores. The GPU’s 98th percentile ranking and the CPU’s 82nd percentile suggest that the system will deliver high frame rates in most modern titles at 1440p and 4K resolutions. At 1080p, the CPU is more likely to be the limiting factor, potentially preventing the GPU from reaching its maximum frame output. In GPU-intensive games with ray tracing enabled, the 100 RT cores will provide a significant advantage, but the CPU’s Cinebench R23 single-core score of 3,009 will dictate the absolute frame rate ceiling in many scenarios. For esports titles that are CPU-bound, the system’s performance will be good but not top-tier, as the i5-14400’s single-thread performance is solid but not class-leading. For AAA titles at 4K, the 32 GB VRAM and 576.0 GB/s bandwidth will ensure that the GPU is the primary driver of performance, and the estimated frame rates would be very high, likely exceeding 60 FPS in most games with ultra settings.

Upgrade Path and Platform

The Intel Core i5-14400 uses the Intel Socket 1700, which supports both DDR4 and DDR5 memory, allowing for flexibility in memory selection. The platform supports PCIe Gen 5 with 16 CPU lanes, though the RTX 5000 Ada Generation uses a PCIe 4.0 x16 interface. The CPU’s 65 W TDP is modest, and the GPU’s 250 W TDP results in a suggested power supply of 600 W, leaving headroom for additional components. The socket is compatible with other 14th-gen and 13th-gen processors, meaning a user could upgrade to a higher-core-count CPU, such as an i7 or i9, without changing the motherboard. However, the current CPU is already performing at a level comparable to several mobile and previous-generation desktop chips, so a CPU upgrade would primarily serve to reduce the bottleneck in CPU-bound workloads. A more sensible next upgrade would be to add more memory or faster storage, as the GPU is already near the top of the performance hierarchy and is unlikely to need replacement for several generations. The platform’s support for ECC memory is a unique feature that could be leveraged for increased system stability in professional environments, but it requires a motherboard that supports this feature.