SYSTEM ANALYZER

Rate My PC: Intel Core i5-14400F + NVIDIA RTX 4000 Ada Generation

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 i5-14400F

32,279 Benchmark Score
Top 10% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 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
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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

# Intel Core i5-14400F + NVIDIA RTX 4000 Ada Generation: Desktop Workstation Analysis

This pairing combines Intel's 14th-generation mid-range desktop processor with NVIDIA's professional workstation GPU, creating a system that ranks in the 89th percentile overall among all desktop combinations. The CPU sits in the 83rd percentile among all processors, while the GPU reaches the 95th percentile among all graphics cards, indicating a heavily GPU-favoring configuration. No measured FPS rows exist for this exact combination in the benchmark database, so all frame rate discussion below is estimated from CPU and GPU benchmark scores rather than direct game testing.

Gaming Performance

Because the FACT PACK contains no measured FPS data for this CPU+GPU pairing, all gaming performance figures discussed here are estimates derived from the respective benchmark scores of each component. The RTX 4000 Ada Generation's Geekbench OpenCL score of 146593 and Vulkan score of 123842 place it in the 95th percentile of all GPUs, which strongly suggests high frame rate capability in modern titles. The Core i5-14400F's single-thread performance, evidenced by a Cinebench R23 single-core score of 3055 and a PassMark single-thread score of 3701, provides sufficient per-core horsepower for most gaming workloads.

At 1080p resolution with ultra settings, the GPU's 26.73 TFLOPS FP32 throughput and 360.0 GB/s memory bandwidth should deliver consistently high frame rates in esports and competitive titles, where the CPU's single-core strength becomes the limiting factor. The 14400F's PassMark single-thread score of 3701 ranks it well above average, suggesting it can keep up with the RTX 4000 Ada's output at this resolution in most scenarios. However, the GPU's workstation orientation—with 48 RT cores and 192 tensor cores—means gaming performance may not perfectly mirror consumer GeForce cards with similar raw compute.

Moving to 1440p ultra, the balance shifts more toward the GPU. The RTX 4000 Ada's 20 GB of GDDR6 memory on a 160-bit bus with 360.0 GB/s bandwidth provides ample headroom for high-resolution textures and modern game assets. The GPU's 95th percentile ranking suggests it outperforms roughly 95% of all GPUs in the database, which translates to strong 1440p performance estimates. The CPU's multi-threaded capabilities, including a Cinebench R23 multi-core score of 21645, ensure that background tasks won't interfere with gaming at this resolution.

At 4K ultra, the GPU becomes the dominant factor, and the RTX 4000 Ada's specifications—139.2 GPixel/s pixel rate and 417.6 GTexel/s texture rate—indicate it can handle the increased resolution demands. The 10-core, 16-thread CPU configuration of the i5-14400F should provide adequate support, though the GPU's workstation focus may show in titles that rely heavily on consumer-specific optimizations. The estimated frame rates at 4K would be lower than at 1080p or 1440p, but the GPU's 95th percentile standing suggests playable performance in most titles.

Benchmark Performance

The CPU's average benchmark score of 32279 places it in the 83rd percentile of all processors, with nearest rivals including the AMD Ryzen 7 PRO 8840U (scoring 32233, a 0.1% difference) and the Intel Core i9-11900 (scoring 32226, a 0.2% difference). This near-tie with older and mobile processors indicates the i5-14400F delivers competitive multi-threaded performance despite its mid-range positioning. The CPU's PassMark multi-thread score of 25470 and Cinebench R23 multi-core score of 21645 reinforce this picture, showing strong parallel processing capability.

The GPU's average benchmark score of 135218 places it in the 95th percentile of all GPUs, with its closest rival being the NVIDIA A10M at 135230 (a 0% difference) and the AMD Radeon PRO W6800 at 135396 (a -0.1% difference). This essentially ties the RTX 4000 Ada with other professional workstation cards, confirming its intended market segment. The Geekbench OpenCL score of 146593 and Vulkan score of 123842 both exceed the GPU average, indicating consistent performance across different compute APIs.

The combined picture shows a system where the GPU significantly outperforms the CPU in relative terms—95th versus 83rd percentile. This 12-percentile gap suggests the GPU will be the primary driver of gaming and rendering performance, while the CPU provides adequate support without being the bottleneck in most GPU-bound workloads. The combined percentile of 89 reflects this strong overall configuration, placing it well above the median desktop build.

CPU Analysis

The Intel Core i5-14400F features 10 cores and 16 threads, built on the Raptor Lake architecture with a 10 nm process node from Intel. The base clock runs at 2.50 GHz with a boost clock of 4.70 GHz, and the processor has a 65 W TDP. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 20 MB of shared L3 cache, which supports the multi-threaded workload performance seen in benchmarks. This is a desktop-class processor on the Intel Socket 1700 platform, supporting both DDR4 and DDR5 memory across a dual-channel bus.

Benchmark results indicate the CPU excels in mixed workloads. The Cinebench R15 multi-core score of 2181 and single-core score of 307 show strong scaling from single to multi-threaded tasks. The Geekbench multi-core score of 11268 and single-core score of 2058 provide additional confirmation of balanced performance. The PassMark integer math score of 81524 and floating-point math score of 61319 suggest the CPU handles both integer-heavy and floating-point-heavy computations effectively, which matters for varied real-world applications.

The CPU's nearest rivals include the AMD Ryzen 7 6800HS (scoring 32354, a -0.2% difference) and the Intel Core i7-12800H (scoring 32121, a 0.5% difference), both of which are mobile processors. This indicates the desktop i5-14400F competes well against higher-tier laptop chips, offering comparable performance in a desktop form factor. The 83rd percentile ranking among all CPUs means it outperforms the majority of processors in the database, though it trails top-tier desktop chips like higher-core-count i7 and i9 models.

The PassMark data encryption score of 16949 and data compression score of 315521 indicate strong performance in security-related and data-intensive tasks. The extended instructions score of 19937 shows the CPU handles modern instruction sets well, which benefits applications that use AVX and similar extensions. The find prime numbers score of 86 is notably lower, reflecting the CPU's performance in single-threaded integer operations that are less common in typical workloads.

Who Should Build It

This configuration targets users who need professional-grade GPU compute without sacrificing CPU responsiveness. The GPU's 95th percentile ranking makes it suitable for professionals working in 3D rendering, scientific visualization, and AI-adjacent workloads that benefit from 48 RT cores and 192 tensor cores. The 20 GB of GDDR6 memory provides capacity for large datasets and complex scenes, while the CPU's 83rd percentile ensures smooth interaction during compute tasks.

Gamers at 1440p or 4K resolution who prioritize visual fidelity over maximum frame rates would find this pairing appropriate, given the GPU's high percentile and the CPU's adequate single-thread performance. The estimated frame rates at these resolutions, derived from the benchmark scores, suggest a system capable of handling ultra settings in most titles, though the workstation GPU may not offer the same driver optimizations as consumer cards.

Content creators working with video editing, 3D modeling, or graphic design would benefit from the combination of the CPU's multi-threaded performance and the GPU's compute capabilities. The Cinebench R23 multi-core score of 21645 and the GPU's 26.73 TFLOPS FP32 throughput together indicate a system that can accelerate rendering and encoding tasks. Software developers working on compute-intensive applications, such as machine learning or simulation, would also find the tensor cores and multi-threaded CPU valuable.

Students and small business users with demanding visualization or engineering workloads represent another target group. The system's 89th combined percentile means it outperforms the majority of desktop configurations, making it suitable for CAD, finite element analysis, or similar professional applications. The CPU's ECC memory support adds reliability for long-running compute jobs, though the GPU's workstation focus may be overkill for general office use.

Balance and Bottleneck

The data indicates a GPU-favoring balance, with the RTX 4000 Ada's 95th percentile significantly exceeding the CPU's 83rd percentile. In gaming workloads, this means the GPU will typically be the limiting factor at higher resolutions, while the CPU may constrain performance at lower resolutions where frame rates are CPU-bound. The estimated FPS scaling from 1080p to 4K would show the GPU becoming increasingly dominant as resolution increases, with the CPU's single-thread performance becoming less relevant.

In compute workloads, the GPU's 26.73 TFLOPS FP32 throughput and 417.6 GTexel/s texture rate far exceed what the CPU can produce, making the GPU the clear bottleneck for parallel workloads like rendering or simulation. The CPU's multi-threaded scores, while strong for its class, cannot match the GPU's parallel throughput, so tasks that offload to the GPU will see the largest performance gains. Conversely, workloads that are inherently serial, such as data encryption with a PassMark score of 16949, will be limited by the CPU's single-thread performance.

The memory subsystem presents another consideration. The CPU's dual-channel DDR4/DDR5 support provides adequate bandwidth for most tasks, but the GPU's 360.0 GB/s bandwidth is substantially higher, reinforcing the GPU's role as the primary compute engine. For gaming, the balance tilts toward the GPU at resolutions above 1080p, while at 1080p the CPU's 83rd percentile may occasionally limit frame rates in CPU-intensive titles. The 0.1% to 0.5% differences from rival CPUs indicate the i5-14400F is well-matched to its performance class, neither exceeding nor falling short of expectations.

Usage Scenarios

High-refresh gaming: At 1080p, the CPU's single-thread score of 3701 in PassMark should support high frame rates in competitive titles, though the GPU's workstation orientation may limit performance in games optimized for consumer cards. The 95th percentile GPU ranking suggests capability for 144Hz or higher in esports titles, with the CPU providing adequate support.

Streaming: The CPU's multi-threaded performance, with a Cinebench R23 multi-core score of 21645, can handle encoding workloads alongside gaming, though the GPU's 192 tensor cores and 48 RT cores may offload some streaming tasks. The 20 GB of VRAM provides headroom for both game rendering and stream encoding buffers.

Video editing: The combination of the CPU's PassMark multi-thread score of 25470 and the GPU's 26.73 TFLOPS FP32 throughput accelerates timeline rendering and effect processing. The GPU's 360.0 GB/s bandwidth handles high-resolution video data efficiently, while the CPU's 10 cores manage the editor's non-GPU tasks.

3D rendering: The GPU's 48 RT cores and 192 tensor cores, combined with its 95th percentile ranking, make this system well-suited for ray-traced rendering and AI-accelerated denoising. The CPU's 20 MB of L3 cache and multi-threaded scores support scene preparation and geometry processing.

Software development: The CPU's PassMark data compression score of 315521 and integer math score of 81524 indicate strong performance in compilation and data processing tasks. The GPU's compute capabilities can accelerate testing and simulation workloads, while the 65 W TDP CPU keeps power consumption manageable during long build sessions.

Student and office work: The CPU's 83rd percentile and the system's 89th combined percentile place it well above typical office machines, handling multitasking and productivity suites easily. The GPU's professional focus may be underutilized in basic office tasks, but the system would excel in engineering or scientific coursework requiring visualization.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is built on the Ada Lovelace architecture using TSMC's 5 nm process, with 35,800 million transistors on a 294 mm² die. The GPU features 6144 shading units, 192 texture mapping units, and 64 raster output pipelines, with 48 RT cores and 192 tensor cores for ray tracing and AI workloads. The base clock runs at 1500 MHz with a boost clock of 2175 MHz, and the memory operates at 2250 MHz (18 Gbps effective) across a 160-bit bus, delivering 360.0 GB/s bandwidth from 20 GB of GDDR6 memory.

Benchmark results place this GPU in the 95th percentile, with a Geekbench OpenCL score of 146593 and a Vulkan score of 123842. The closest rival, the NVIDIA A10M, scores 135230—a 0% difference—while the AMD Radeon PRO W6800 scores 135396, a -0.1% difference. This near-tie with other professional workstation GPUs confirms the RTX 4000 Ada's positioning in the workstation segment rather than the consumer gaming market, which affects driver optimizations and feature support.

The GPU's FP32 performance of 26.73 TFLOPS and FP16 performance of 26.73 TFLOPS (1:1) indicate strong compute capabilities for both single-precision and half-precision workloads. The pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s support high-resolution rendering, while the 48 RT cores accelerate ray-traced scenes. The 192 tensor cores provide AI acceleration for features like DLSS and denoising, though the workstation driver may prioritize compute over gaming features.

The 130 W TDP and single-slot design make this GPU suitable for dense workstation builds, with a suggested 300 W PSU and a single 16-pin power connector. The 4x DisplayPort 1.4a outputs support multi-monitor professional setups, and the PCIe 4.0 x16 interface provides adequate bandwidth for most workloads. The GPU's 20 GB VRAM capacity is substantial for large datasets and high-resolution textures, positioning it well above consumer cards in memory capacity.

FAQ

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

A: The combined percentile is 89, placing this desktop configuration above the vast majority of systems in the benchmark database.

Q: How does the CPU's performance compare to its nearest rivals?

A: The i5-14400F scores 32279 on average, with the AMD Ryzen 7 PRO 8840U at 32233 (0.1% difference) and the Intel Core i9-11900 at 32226 (0.2% difference), showing near-identical performance.

Q: What is the GPU's memory configuration and bandwidth?

A: The RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, with 360.0 GB/s memory bandwidth and an effective memory clock of 18 Gbps.

Q: Does this system have measured gaming frame rates?

A: No, the benchmark database contains no measured FPS data for this exact combination, so gaming performance figures are estimated from the CPU and GPU benchmark scores.

Q: What is the CPU's core and thread configuration?

A: The Intel Core i5-14400F has 10 cores and 16 threads, with a base clock of 2.50 GHz and a boost clock of 4.70 GHz, built on the Raptor Lake architecture.

Q: How does the GPU's performance compare to professional rivals?

A: The RTX 4000 Ada scores 135218 on average, with the NVIDIA A10M at 135230 (0% difference) and the AMD Radeon PRO W6800 at 135396 (-0.1% difference), making them statistically equivalent.

Q: What process node and foundry are used for the GPU?

A: The GPU uses TSMC's 5 nm process node, with 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8 million per mm².

Build Overview

This desktop build pairs the Intel Core i5-14400F with the NVIDIA RTX 4000 Ada Generation, a combination that ranks in the 89th percentile overall. The CPU, from the Core 14th Gen series, is a Raptor Lake architecture processor with 10 cores and 16 threads, while the GPU is a workstation-class Ada Lovelace card with 20 GB of GDDR6 memory. The system targets professional users who need strong GPU compute performance, as evidenced by the GPU's 95th percentile ranking versus the CPU's 83rd percentile, with the GPU clearly being the dominant component. The CPU's launch MSRP was $196, reflecting its mid-range positioning, while the GPU's professional workstation status implies a higher cost tier. This pairing is best suited for 3D rendering, AI-accelerated workloads, and high-resolution professional visualization, where the GPU's 48 RT cores, 192 tensor cores, and 26.73 TFLOPS FP32 throughput can be fully utilized.