SYSTEM ANALYZER

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

117,088 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 i5-14400F paired with the NVIDIA RTX 4000 SFF Ada Generation is a desktop combination that leans heavily toward professional workstation tasks rather than pure gaming, though it retains credible capabilities for high-refresh 1080p play. The CPU holds an 83rd percentile rank among all processors, while the GPU sits at the 95th percentile among all graphics cards, placing the pair in the 89th combined percentile. This build is defined by a stark contrast: a 10-core, 16-thread CPU with a 65 W TDP alongside a 70 W workstation GPU that carries 20 GB of VRAM. The data indicates a system engineered for compute-heavy, memory-hungry professional workloads, with gaming as a secondary function.

Usage Scenarios

High-Refresh Gaming: The RTX 4000 SFF Ada Generation’s 95th percentile GPU rank suggests strong raw performance, but its workstation orientation and 70 W power envelope limit its gaming ceiling. The CPU’s Cinebench R23 single-core score of 3055 points and Passmark single-thread score of 3701 indicate solid per-core performance, which is sufficient to drive high frame rates in most titles. However, with no measured FPS data for this pair, gaming performance must be inferred as capable but likely below the level of dedicated gaming GPUs with similar percentile scores. Expect smooth 144Hz play at 1080p in esports titles, but do not anticipate consistent high-refresh 4K gaming.

Streaming: The CPU’s multi-core muscle, evidenced by a Cinebench R23 multi-core score of 21645 and a Passmark multithread score of 25470, provides ample headroom for software encoding while gaming. The GPU’s 192 tensor cores and 48 RT cores could accelerate encoding and AI-based stream enhancements, though the lack of measured FPS data means real-time streaming performance is an estimate. The 20 GB VRAM buffer ensures that streaming overlays and game captures will not exhaust memory, even at high resolutions. This setup is workable for a single-PC streamer, but the GPU’s professional drivers may not prioritize low-latency gaming features.

Video Editing: This is where the combination shines. The GPU’s 20 GB of GDDR6 memory with 280.0 GB/s bandwidth is exceptional for scrubbing timelines and applying effects to high-resolution footage. The Geekbench OpenCL score of 124812 and Vulkan score of 109364 place the GPU in the 95th percentile, indicating strong compute acceleration for rendering and color grading. The CPU’s Passmark data compression score of 315521 supports fast media file handling, while its 10 cores handle multi-track timelines efficiently. The 65 W CPU TDP and 70 W GPU TDP keep thermals manageable during long export sessions.

3D Rendering: The GPU’s Ada Lovelace architecture with 19.17 TFLOPS FP32 performance and 6144 shading units is a rendering workhorse. Its 48 RT cores provide hardware-accelerated ray tracing, which is a significant advantage for photorealistic renders. The 20 GB VRAM allows for large scenes and complex textures without swapping to system memory. The CPU’s Cinebench R20 multi-core score of 9090 and R15 multi-core score of 2181 indicate it can keep up with GPU rendering tasks, though it is not a top-tier workstation CPU. Expect render times that are competitive with systems featuring higher-TDP desktop GPUs, but with a fraction of the power draw.

Software Development: The CPU’s Passmark integer math score of 81524 and floating point math score of 61319 indicate strong number-crunching for compilation and code analysis. The 16 threads handle parallel builds efficiently, while the 20 MB L3 cache reduces latency for repetitive tasks. The GPU’s 192 tensor cores are useful for local machine learning model inference, and its 20 GB VRAM can hold larger models than typical gaming GPUs. The combination is well-suited for developers working on AI, data processing, or graphics-intensive applications, where the GPU’s compute capabilities are more valuable than its gaming frame rates.

Student and Office Work: This system is overkill for basic productivity. The CPU’s Passmark single-thread score of 3701 ensures snappy response in office suites, and the 16 threads handle multitasking with ease. The GPU’s 20 GB VRAM and 280.0 GB/s bandwidth are wasted on spreadsheets and document editing, but the low 70 W TDP means it will run quietly and efficiently in a shared space. The dual-slot, 168 mm length GPU fits in most mid-tower cases, making it a discreet addition to a student workstation. However, the lack of integrated graphics on the CPU means the GPU must always be active, even for basic display output.

Upgrade Path and Platform

The Intel Core i5-14400F uses the Intel Socket 1700, which is the platform for 12th, 13th, and 14th generation Core processors. This means a user can upgrade to a higher-tier 14th Gen CPU without changing the motherboard, provided the BIOS is updated. The CPU supports dual-channel DDR4 and DDR5 memory, offering flexibility to reuse existing DDR4 modules or move to faster DDR5 for improved memory bandwidth. The processor provides PCIe Gen 5 with 16 lanes, but the RTX 4000 SFF Ada Generation uses PCIe 4.0 x16, so the GPU will run at PCIe 4.0 speeds, which is sufficient for its bandwidth needs.

The GPU’s suggested PSU is 250 W, and the CPU has a 65 W TDP, mean a combined system power draw of roughly 315 W under full load, plus other components. A quality 500 W PSU would provide ample headroom, but the data suggests a 250 W PSU is the minimum for the GPU alone. The GPU draws power entirely from the PCIe slot, as it has no power connectors, simplifying cable management. A sensible next upgrade would be a higher-core-count 14th Gen i7 or i9 processor, which would slot into the same socket and improve multi-threaded workloads like rendering and compilation, pairing well with the GPU’s compute capacity.

Benchmark Performance

The CPU’s average benchmark score is 32279, placing it in the 83rd percentile of all CPUs. Its nearest rivals are closely matched: it is 0.1% ahead of the AMD Ryzen 7 PRO 8840U, 0.2% ahead of the Intel Core i9-11900, 0.5% ahead of the Intel Core i7-12800H, and 0.2% behind the AMD Ryzen 7 6800HS. This indicates the i5-14400F delivers performance nearly identical to those laptop and desktop chips, making it a strong mid-range desktop option. In Cinebench R23, it scores 21645 multi-core and 3055 single-core, showing a balanced profile with strong single-thread capability for its class.

The GPU’s average benchmark score is 117088, placing it in the 95th percentile of all GPUs. It is 0.3% ahead of the NVIDIA GB10, 2.4% ahead of the NVIDIA Tesla V100 SXM2 16 GB, and 2.8% ahead of the NVIDIA RTX A5500 Mobile, but 1.6% behind the AMD Radeon PRO W7700. This puts it in the upper echelon of graphics cards, with performance comparable to high-end workstation and mobile GPUs. The Geekbench OpenCL score of 124812 and Vulkan score of 109364 confirm strong compute performance, which is the primary strength of this card. Combined, the CPU and GPU achieve an 89th percentile rank, indicating a system that outperforms 89% of all desktop builds in the database.

Who Should Build It

This system targets professionals who need serious compute power in a compact, low-power form factor. Gamers at 1080p will find the performance acceptable for high-refresh esports, but the GPU’s workstation drivers and 70 W power limit mean it is not optimized for 1440p or 4K gaming. Content creators working with video editing and 3D rendering will benefit most, given the GPU’s 20 GB VRAM, 48 RT cores, and 192 tensor cores, which accelerate ray tracing and AI-based effects. Software developers, particularly those working on machine learning or data-intensive applications, will appreciate the CPU’s 16 threads and the GPU’s massive memory pool for model training and inference.

Students in engineering, architecture, or computer science programs will find this system capable of handling CAD software, simulation tools, and coding projects without breaking a sweat. Small business workstations that require reliable, quiet, and energy-efficient computation for design or analysis will also be well-served. The 65 W CPU and 70 W GPU TDPs make this an excellent choice for environments where heat and noise are concerns, such as shared offices or labs. However, the lack of integrated graphics on the CPU means the GPU is essential for any display output, which is a consideration if the GPU fails.

Gaming Performance

No measured FPS data exists for this exact CPU-GPU combination, so all gaming frame rates discussed here are estimates derived from the benchmark scores. The GPU’s 95th percentile rank and Geekbench scores suggest it can handle most modern titles at 1080p with high settings, likely achieving 60-90 FPS in AAA games and well over 144 FPS in competitive shooters. At 1440p, performance would drop to around 50-70 FPS in demanding titles, as the 70 W power limit constrains the GPU’s clock speeds. The CPU’s single-core performance is not a bottleneck at these resolutions, but the GPU’s compute-oriented design means it may not deliver the same frame rates as a gaming GPU with similar compute scores.

The 20 GB VRAM is a boon for texture-heavy games, allowing ultra texture packs at 1080p without stutter. However, the GPU’s 160-bit memory bus and 280.0 GB/s bandwidth are narrower than typical gaming GPUs in its percentile range, which could limit performance at higher resolutions. Ray tracing performance is supported via 48 RT cores, but the low 70 W TDP means ray tracing will be less effective than on higher-power Ada GPUs. For gaming, this is a competent but not exceptional performer, and users should temper expectations accordingly.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is built on the AD104 chip with Ada Lovelace architecture, fabricated on TSMC’s 5 nm process with 35,800 million transistors. It features 6144 shading units, 192 TMUs, and 64 ROPs, with a base clock of 720 MHz and a boost clock of 1560 MHz. The memory subsystem consists of 20 GB of GDDR6 on a 160-bit bus, delivering 280.0 GB/s of bandwidth. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it fully compatible with modern APIs.

The GPU’s 48 RT cores and 192 tensor cores are the standout features, providing hardware acceleration for ray tracing and AI workloads. Its FP32 and FP16 performance are both rated at 19.17 TFLOPS, indicating strong compute throughput for scientific and professional applications. The Geekbench OpenCL score of 124812 places it in the 95th percentile, confirming its capability for rendering and compute tasks. The GPU’s 70 W TDP is remarkably low for its performance level, making it ideal for small form factor builds. Its pixel rate of 99.84 GPixel/s and texture rate of 299.5 GTexel/s are respectable, but the 160-bit memory bus is a limiting factor for high-resolution gaming, where bandwidth is critical.

CPU Analysis

The Intel Core i5-14400F is a 10-core, 16-thread processor based on the Raptor Lake architecture, manufactured on Intel’s 10 nm process. It has 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 20 MB shared L3 cache. It supports DDR4 and DDR5 memory in dual-channel mode and includes ECC memory support, which is unusual for a consumer chip and beneficial for workstation reliability.

The CPU’s Cinebench R23 multi-core score of 21645 and single-core score of 3055 indicate strong performance for both multi-threaded rendering and single-threaded tasks. Its Passmark multithread score of 25470 and single-thread score of 3701 confirm its balanced nature. The data encryption score of 16949 and extended instructions score of 19937 show solid performance for security and SIMD workloads. The CPU’s 83rd percentile rank places it above average, but its nearest rivals are all within 0.5%, meaning it is not a standout in its class. The 20 MB L3 cache is generous for a mid-range chip, aiding in gaming and productivity tasks that benefit from large caches.

FAQ

Q: Does this CPU support overclocking?

A: No, the Intel Core i5-14400F has a locked multiplier (multiplierUnlocked: false), meaning it cannot be overclocked.

Q: What is the GPU’s power consumption?

A: The NVIDIA RTX 4000 SFF Ada Generation has a 70 W TDP and requires no power connectors, drawing all power from the PCIe slot.

Q: How much VRAM does the GPU have, and what type?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus, providing a bandwidth of 280.0 GB/s.

Q: What is the CPU’s memory support?

A: The CPU supports both DDR4 and DDR5 memory in dual-channel mode, but does not support ECC memory.

Q: Which PCIe version does the CPU support?

A: The CPU supports PCIe Gen 5 with 16 lanes, but the GPU uses PCIe 4.0 x16, which is backward compatible.

Q: What is the GPU’s percentile rank?

A: The GPU is in the 95th percentile of all GPUs, with an average benchmark score of 117088.

Q: Is this CPU good for gaming?

A: The CPU’s single-core score of 3055 in Cinebench R23 is solid for gaming, but the GPU’s workstation design may limit frame rates in some titles.

Balance and Bottleneck

The balance between the Intel Core i5-14400F and the NVIDIA RTX 4000 SFF Ada Generation is uneven, with the GPU being the stronger component relative to its peers. The GPU’s 95th percentile rank versus the CPU’s 83rd percentile rank means the GPU is more capable relative to its class, potentially creating a CPU bottleneck in highly threaded workloads that also use the GPU. In gaming, the GPU is likely the limiting factor due to its 70 W power limit and 160-bit memory bus, despite its high compute scores. The CPU’s 16 threads can easily feed the GPU, so frame rates will be constrained by the GPU’s rendering speed, not the CPU’s processing power.

In compute-heavy tasks like 3D rendering, the GPU will dominate, and the CPU may struggle to keep up with the GPU’s data processing demands, especially in scenes with complex physics or geometry. The CPU’s Cinebench R23 multi-core score of 21645 is respectable, but it is well below the GPU’s compute capability, as evidenced by the GPU’s OpenCL score of 124812. For video editing, the balance is more even, with the CPU handling timeline operations and the GPU accelerating effects and exports. The 20 GB VRAM ensures that the GPU will not be a bottleneck in memory-intensive workloads, but the 70 W power limit could cause the GPU to throttle under sustained load. Overall, this pair is balanced for professional compute tasks, but gaming performance will be GPU-limited, and multi-threaded CPU workloads will be CPU-limited.