SYSTEM ANALYZER

Rate My PC: Intel Core i5-14400 + 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 i5-14400

32,115 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
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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

# GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 4000 SFF Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated on TSMC's 5 nm process. The die packs 35,800 million transistors across 294 mm², yielding a transistor density of 121.8M per mm². This is a compact, power-efficient part designed for small-form-factor workstations, and the data reflects that positioning.

Memory configuration is substantial for the card's physical size. The GPU carries 20 GB of GDDR6 memory on a 160-bit bus, producing a bandwidth of 280.0 GB/s. Memory clocks run at 1750 MHz, with an effective data rate of 14 Gbps. For rendering workloads, 20 GB of VRAM is a decisive specification — it allows large 3D scenes, high-resolution textures, and complex simulation datasets to reside entirely on the GPU without spilling to system memory. The bandwidth, while not class-leading, is adequate for the card's compute throughput and target resolution ranges.

The compute core layout is robust. There are 6144 shading units, 192 texture mapping units, and 64 raster output units. The card's clock speeds are conservative — base clock of 720 MHz and boost clock of 1560 MHz — which keeps power draw low but still delivers meaningful throughput. Pixel rate is 99.84 GPixel/s and texture rate is 299.5 GTexel/s. FP32 performance is rated at 19.17 TFLOPS, with FP16 also at 19.17 TFLOPS (1:1 ratio), indicating no half-rate penalty for mixed-precision work.

Ray tracing and AI acceleration hardware are present in significant quantities. The GPU includes 48 RT cores and 192 tensor cores. For rendering, this means hardware-accelerated ray tracing is available for real-time viewport previews and final-frame denoising tasks. The tensor cores support DLSS and other AI-based upscaling and denoising techniques, which can dramatically speed up interactive rendering workflows. In benchmark terms, the GPU scores 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, placing it in the 95th percentile of all GPUs. Its average benchmark score is 117088.

Relative to its nearest rivals, the RTX 4000 SFF Ada Generation sits in a narrow performance band. It trails the NVIDIA GB10 by 0.3%, the AMD Radeon PRO W7700 by 1.6%, while leading the NVIDIA Tesla V100 SXM2 16 GB by 2.4% and the NVIDIA RTX A5500 Mobile by 2.8%. These deltas are small, suggesting that for rendering tasks, the card trades blows with other high-end workstation GPUs, with the 20 GB VRAM being its primary differentiator over some competitors.

# Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The platform is built around the Intel Core i5-14400, which uses the Intel Socket 1700. This socket supports both DDR4 and DDR5 memory, giving builders flexibility in choosing memory technology based on budget and availability. The memory bus is dual-channel, and the CPU supports ECC memory — a feature relevant for workstation stability and data integrity in long compute tasks. The CPU's PCIe implementation is Gen 5 with 16 lanes available from the CPU itself.

The GPU interfaces via PCIe 4.0 x16, which is fully compatible with the CPU's Gen 5 lanes (the slot will run at Gen 4 speeds, but bandwidth is not a bottleneck for this class of card). The RTX 4000 SFF Ada Generation has a TDP of only 70 W and draws power entirely from the PCIe slot — it has no external power connectors. The suggested PSU rating is 250 W, which is remarkably low for the performance level on offer. This means the build's total system power requirement is modest, and the PSU headroom is considerable even with a 65 W TDP processor.

For upgrade considerations, the data supports a few clear paths. The CPU's 65 W TDP and the GPU's 70 W TDP mean the existing power delivery is unlikely to be stressed. A sensible next upgrade would be to increase system memory capacity or move to faster DDR5 modules, given the dual-channel support. Alternatively, the 20 GB VRAM on the GPU is generous, but if rendering workloads grow beyond that, the next step would be a higher-tier workstation GPU — though that would likely require a larger PSU and possibly a chassis change given the SFF form factor. The CPU socket, however, is at the end of its generation with Raptor Lake Refresh, so future CPU upgrades would require a motherboard change. The platform's 10 nm process node (Intel foundry) and 215 mm² die size are fixed parameters; the current CPU is already a strong match for the GPU's capabilities.

# CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The Intel Core i5-14400 is a 10-core, 16-thread desktop processor from the Core 14th Gen series, based on the Raptor Lake architecture (specifically Raptor Lake-R). It runs at a base clock of 2.50 GHz and boosts to 4.70 GHz. The chip is manufactured on Intel's 10 nm process node, with a die size of 215 mm². 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's TDP is 65 W, and it ships with UHD Graphics 730 integrated graphics, providing a fallback display output if the discrete GPU is removed. The processor is not multiplier-unlocked, limiting overclocking headroom, and its launch MSRP is $221.

In benchmark terms, the i5-14400 performs strongly across a range of workloads. Cinebench R15 multi-core score is 2148, single-core 303. Cinebench R20 shows 8952 multi-core and 1263 single-core. Cinebench R23 results are 21315 multi-core and 3009 single-core. Geekbench scores are 9807 multi-core and 1905 single-core. PassMark results include multithread score of 25080, single-thread of 3741, integer math at 82017, floating point math at 61549, extended instructions at 19816, data compression at 314995, data encryption at 16731, physics at 1396, find prime numbers at 80, and random string sorting at 32346. The average benchmark score is 32115, placing the CPU in the 82nd percentile of all CPUs.

Real-world interpretation of these numbers: the Cinebench R23 multi-core score of 21315 indicates strong all-core throughput for rendering and video encoding tasks. The single-core score of 3009 is excellent for lightly-threaded workloads like legacy applications, web browsing, and office productivity. The PassMark integer and floating point scores suggest balanced performance for both general computation and scientific workloads. The data compression score of 314995 is particularly high, indicating strong performance in file archiving and database operations.

Relative to nearest rivals, the i5-14400 is essentially tied with the Intel Core i7-12800H (deltaPct 0), slightly ahead of the Intel Core i7-13705H (0.1% faster), and the Intel Core i5-14450HX (0.2% faster). It trails the Intel Core i9-11900 by 0.3%. These near-identical scores mean the i5-14400 delivers performance comparable to higher-tier mobile and older desktop chips, making it a highly efficient desktop choice.

# Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The pairing of an 82nd-percentile CPU with a 95th-percentile GPU creates a system where the GPU is the more dominant component in the combined 89th-percentile build. In gaming and graphics-intensive workloads, the GPU will be the primary limiter at higher resolutions and quality settings, while the CPU will be the limiter in CPU-bound scenarios such as physics simulations, AI inference, or heavily-threaded productivity tasks.

The GPU's 95th percentile ranking versus the CPU's 82nd percentile indicates that the graphics card is significantly stronger relative to its own field than the processor is. This means in most GPU-bound rendering and gaming tasks, the CPU will not bottleneck the GPU. The CPU's 16 threads and high single-core score (3009 in Cinebench R23) are sufficient to feed the GPU in most scenarios. However, in esports titles at low resolutions with high frame rates, the CPU could become the limiting factor, as its 2.50 GHz base clock is modest, and boost of 4.70 GHz is good but not exceptional.

The GPU's FP32 throughput of 19.17 TFLOPS and the CPU's multi-core score of 21315 in Cinebench R23 suggest a well-matched pair for compute workloads. The GPU's 20 GB VRAM is ample for large datasets, so the CPU's memory bandwidth (dual-channel) and cache hierarchy (20 MB L3) become the next potential bottleneck for data-heavy tasks. The CPU's PassMark multithread score of 25080 indicates solid parallel processing, but the GPU's parallel throughput is far higher — a common imbalance in workstation builds where the GPU is the compute engine and the CPU orchestrates and feeds data.

The FPS scaling evidence is absent from the data (no measured FPS rows exist for this combination), so bottleneck analysis relies on percentile deltas. The 13-percentage-point gap between GPU and CPU percentiles is moderate — not so large that the CPU severely hampers the GPU, but enough to note that the GPU is the star of the show. For balanced workload types like 3D rendering, the CPU will prepare scene data while the GPU rasterizes and ray-traces, and the data suggests the CPU can keep pace.

# Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

There is no measured FPS data available for this exact CPU+GPU combination. The FACT PACK contains no measuredFps rows, and the dataIsMeasured flag is false. Therefore, all gaming performance figures presented here are estimates derived from the benchmark scores of the individual components, not from direct gameplay testing. These estimates should be treated as indicative, not definitive.

Based on the GPU's 95th percentile ranking and its Geekbench Vulkan score of 109364, the RTX 4000 SFF Ada Generation is expected to deliver high frame rates at 1080p and 1440p in most modern titles. The 20 GB VRAM provides headroom for high-resolution textures, and the 48 RT cores enable hardware ray tracing at playable frame rates. The GPU's 19.17 TFLOPS FP32 throughput suggests strong rasterization performance, while the tensor cores can leverage DLSS for additional frame rate gains.

At 4K resolution, the GPU's memory bandwidth of 280.0 GB/s may become a limiting factor, as this is relatively modest for 4K workloads. However, the large VRAM pool mitigates texture streaming issues. The CPU's strong single-core score (3009 in Cinebench R23) ensures that frame pacing in CPU-bound scenarios remains stable, and the 16 threads handle background tasks without impacting gaming performance.

For competitive titles like esports shooters, the CPU's 4.70 GHz boost clock and high single-thread score suggest frame rates well above 144 Hz at 1080p, though the GPU's conservative clocks (1560 MHz boost) may cap maximum frame rates in lighter titles. For AAA single-player games, the GPU is expected to hit 60+ FPS at 1440p with high settings, and with DLSS enabled, 4K at 60 FPS is plausible in many titles. These are estimates; actual performance will vary by title and driver optimization.

# Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

This build targets users who need workstation-class GPU performance in a compact desktop form factor, paired with a capable mid-range CPU. The 95th-percentile GPU and 82nd-percentile CPU combination suits several distinct user profiles.

Professional 3D artists and animators are the primary audience. The 20 GB VRAM and 48 RT cores enable complex scene rendering with ray tracing, and the GPU's 124812 OpenCL score indicates strong compute acceleration for render engines like Blender Cycles or Octane. The CPU's 21315 Cinebench R23 multi-core score handles scene preparation and physics simulation adequately.

Video editors and colorists benefit from the GPU's 19.17 TFLOPS FP32 throughput for effects processing and the 20 GB VRAM for large timelines. The CPU's data compression score of 314995 is excellent for codec handling, and the 16 threads assist with multi-stream editing.

Data scientists and AI researchers can leverage the 192 tensor cores for model training and inference. The GPU's 1:1 FP16 ratio (19.17 TFLOPS) is valuable for mixed-precision deep learning workloads. The CPU's ECC memory support adds stability for long-running jobs.

Small business workstations requiring CAD, architectural visualization, or engineering simulation will find the GPU's 95th percentile ranking compelling. The SFF form factor and 70 W GPU power draw allow for quiet, space-efficient systems that fit under desks.

Developers targeting GPU compute or graphics APIs will appreciate the DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 support, alongside the 4x mini-DisplayPort 1.4a outputs for multi-monitor setups.

Gamers at 1440p or 4K with high refresh rates will find the GPU's 95th percentile performance suitable, though the workstation focus means gaming features are secondary. The CPU's single-core score of 3009 supports high frame rates, but the GPU's modest clock speeds may limit maximum FPS in lightweight titles.

Students in graphics, engineering, or data science programs can use this build for coursework, given the CPU's 82nd percentile ranking and the GPU's professional feature set, though the lack of an unlocked multiplier limits overclocking experimentation.

# FAQ — 5-7 Q&A pairs answerable from FACT PACK data

Q: What is the CPU's core and thread count, and what is its boost clock?

A: The Intel Core i5-14400 has 10 cores and 16 threads, with a base clock of 2.50 GHz and a boost clock of 4.70 GHz.

Q: How much VRAM does the GPU have, and what is its memory bandwidth?

A: The NVIDIA RTX 4000 SFF Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, providing 280.0 GB/s of bandwidth.

Q: What is the GPU's ray tracing and tensor core count?

A: The GPU includes 48 RT cores and 192 tensor cores, based on the Ada Lovelace architecture.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-14400 supports ECC memory, which is beneficial for workstation stability.

Q: What power supply is recommended for this GPU?

A: The suggested PSU for the RTX 4000 SFF Ada Generation is 250 W, and the GPU has a TDP of 70 W with no external power connectors.

Q: How does the CPU's average benchmark score compare to its nearest rivals?

A: The CPU's average score is 32115, which is 0% different from the Intel Core i7-12800H, 0.1% faster than the Core i7-13705H, 0.2% faster than the Core i5-14450HX, and 0.3% slower than the Core i9-11900.

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

A: The RTX 4000 SFF Ada Generation is in the 95th percentile of all GPUs, with an average benchmark score of 117088.

# Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

This is a desktop-class build combining the Intel Core i5-14400 (Raptor Lake Refresh, 10 cores, 16 threads) with the NVIDIA RTX 4000 SFF Ada Generation (Ada Lovelace, 20 GB GDDR6). The build's combined percentile is 89, indicating it sits in the upper tier of system performance. The CPU is in the 82nd percentile of all CPUs, while the GPU is in the 95th percentile of all GPUs — a configuration weighted heavily toward graphics and compute throughput.

The build class is explicitly desktop, and the GPU's SFF (small form factor) designation means this is intended for compact workstation chassis. The CPU's 65 W TDP and the GPU's 70 W TDP together draw minimal power, making this a highly efficient pairing. The GPU's dual-slot width and 168 mm length (6.6 inches) with a height of 69 mm (2.7 inches) confirm its space-saving design. The lack of external power connectors on the GPU simplifies cabling and reduces clutter inside the case.

The combined 89th percentile places this build in the upper echelon of systems, suitable for professional workloads and high-end gaming. The CPU's 82nd percentile is respectable but not top-tier, while the GPU's 95th percentile is near-flagship territory. This asymmetry defines the build's character: a professional graphics powerhouse with a competent but not extravagant processor.

# Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The CPU's benchmark suite shows consistent strength across workloads. Key scores: Cinebench R23 multi-core 21315, single-core 3009; Geekbench multi-core 9807, single-core 1905; PassMark multithread 25080, single-thread 3741. The average benchmark score is 32115, placing the i5-14400 in the 82nd percentile of all CPUs. Its nearest rivals are all within 0.3% — the Intel Core i7-12800H (32121, 0% delta), Core i7-13705H (32076, 0.1% faster), Core i5-14450HX (32040, 0.2% faster), and Core i9-11900 (32226, 0.3% slower).

The GPU's benchmark scores are 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, with an average score of 117088. This places the RTX 4000 SFF Ada Generation in the 95th percentile of all GPUs. Its nearest rivals show tight competition: the NVIDIA GB10 (117393, 0.3% faster), AMD Radeon PRO W7700 (118976, 1.6% faster), NVIDIA Tesla V100 SXM2 16 GB (114395, 2.4% slower), and NVIDIA RTX A5500 Mobile (113944, 2.8% slower).

The combined picture is one of a GPU-dominant system. The GPU's 95th percentile significantly outpaces the CPU's 82nd percentile, and the combined 89th percentile reflects this gradient. In practice, this means the system will excel at GPU-accelerated tasks — rendering, ray tracing, AI inference, and high-resolution gaming — while the CPU provides solid but not exceptional support for general computation and physics. The performance deltas to rivals are small enough that real-world differences will be minimal; the primary advantages are the GPU's 20 GB VRAM and the CPU's ECC memory support, which are professional-grade features that set this build apart from consumer alternatives.