SYSTEM ANALYZER

Rate My PC: Intel Core i5-12400F + NVIDIA RTX 4000 SFF Ada Generation

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

91 / 100
ULTIMATE READY

Apex Performer

Top 9% 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
84%
VS
GPU
99%
PROCESSOR

Intel Core i5-12400F

19,039 Benchmark Score
Top 16% 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

The Intel Core i5-12400F and NVIDIA RTX 4000 SFF Ada Generation pairing is a desktop configuration that occupies the 84th percentile overall, indicating a high-performance build skewed toward professional workstation tasks rather than pure gaming. The CPU, a 6-core Alder Lake part, delivers strong single-threaded performance, while the GPU, a 20 GB Ada Lovelace workstation card, is in the 95th percentile of all GPUs, making it an exceptionally powerful compute accelerator. The data shows a system where the GPU is the dominant component in most workloads, but the CPU provides a solid foundation without being a significant bottleneck for the SFF card's intended use cases.

Balance and Bottleneck

The fundamental balance of this system is defined by a stark contrast in compute capability. The RTX 4000 SFF Ada Generation scores in the 95th percentile of all GPUs, while the Core i5-12400F sits in the 73rd percentile of all CPUs. This delta suggests the GPU will be the limiting factor in workloads that are primarily graphics or compute-bound, but the CPU will be the constraint in scenarios requiring high thread counts or rapid sequential processing.

Benchmark data for the CPU shows a clear scaling pattern with thread count. The 3DMark scores progress from 909 in the single-thread test to 1699 in the 2-thread test, then to 3067 at 4 threads, 4779 at 8 threads, and plateau at 5912 for max threads. This indicates that while the 6-core/12-thread processor scales well up to its physical core count, the performance gains diminish significantly beyond that point. The difference between the 8-thread score (4779) and the max-thread score (5912) is only 23.7%, showing that the processor's 12 threads are efficiently utilized but that there is no headroom for additional parallel workloads.

For the GPU, the Geekbench scores reveal its compute-heavy nature. The OpenCL score of 124812 and Vulkan score of 109364 demonstrate that the card excels in parallel processing tasks. The 19.17 TFLOPS of FP32 performance and 19.17 TFLOPS of FP16 performance (at a 1:1 ratio) indicate that this is a compute workhorse, not just a graphics card. The balanced FP32/FP16 ratio suggests that workloads requiring mixed precision will not see a performance penalty, making this a versatile accelerator for scientific computing and AI inference.

The bottleneck analysis depends heavily on the workload type. In gaming at lower resolutions, the CPU's single-thread score of 909 in 3DMark and 1680 in Cinebench R23 single-core will likely be the limiting factor, as games typically rely on a few fast cores. However, the GPU's 95th percentile ranking means it can handle most gaming scenarios without being the primary constraint. In content creation tasks like video rendering or 3D modeling, the GPU's 95th percentile position and the CPU's 73rd percentile position suggest the GPU will be the dominant component, with the CPU providing adequate but not exceptional support.

The passmark data further illuminates the CPU's capabilities. The multi-thread score of 19433 and the single-thread score of 3481 indicate a balanced processor, but the FP32 throughput of the GPU (19.17 TFLOPS) vastly exceeds what the CPU can produce. The CPU's floating-point math score of 46759 is respectable for a 6-core part but pales in comparison to the GPU's compute capability. For workloads that can leverage the GPU's parallel architecture, the CPU will rarely be a bottleneck; for serial tasks or lightly-threaded applications, the CPU's single-core performance will define the system's ceiling.

Benchmark Performance

The CPU's average benchmark score is 19039, placing it in the 73rd percentile of all CPUs. Its nearest rival is the AMD Ryzen 5 7535HS, which scores 19047, a delta of 0% — meaning the two are statistically identical in overall performance. Other close competitors include the Intel Core 3 201E at 19056 (delta of -0.1%) and the Intel Core i5-1335U at 18982 (delta of +0.3%). This positioning shows the i5-12400F is a mid-range performer that trades blows with mobile and embedded parts, but it lacks the multi-core muscle of higher-end desktop chips.

In specific CPU benchmarks, the Cinebench R23 results are particularly telling. The multi-core score of 12380 and single-core score of 1680 show a ratio of 7.37x, which is typical for a 6-core/12-thread processor. The Geekbench scores of 9472 multi-core and 1964 single-core reinforce this picture. The Passmark integer math score of 59995 and floating-point math score of 46759 indicate that the CPU handles general-purpose computing tasks competently, while the extended instructions score of 15834 shows support for modern instruction sets.

The GPU's average benchmark score is 117088, placing it in the 95th percentile of all GPUs. Its nearest rival is the NVIDIA GB10 at 117393 (delta of -0.3%), followed by the AMD Radeon PRO W7700 at 118976 (delta of -1.6%). The GPU also outperforms the NVIDIA Tesla V100 SXM2 16 GB (114395, delta of +2.4%) and the NVIDIA RTX A5500 Mobile (113944, delta of +2.8%). This percentile ranking places the RTX 4000 SFF Ada Generation in the top 5% of all graphics cards, making it a formidable compute accelerator.

The combined picture from these scores is a system with significant compute asymmetry. The GPU's 95th percentile ranking versus the CPU's 73rd percentile means the GPU will drive performance in most compute-heavy tasks, but the CPU will limit performance in latency-sensitive or lightly-threaded workloads. The combined percentile of 84 reflects this balance, positioning the build as a high-performance workstation that is not top-tier in every aspect but excels in GPU-accelerated tasks.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFpsUltraByGame entries, so all FPS figures discussed here are estimates derived from the benchmark scores of the individual components. The data clearly indicates that this system is not primarily designed for gaming, but rather for professional workstation use.

Based on the GPU's 95th percentile ranking and its 19.17 TFLOPS of FP32 compute, this card should handle modern games at 1080p and 1440p with high to ultra settings in most titles. The 20 GB of GDDR6 memory provides ample capacity for high-resolution textures, and the 280.0 GB/s memory bandwidth is sufficient for smooth texture streaming. However, the GPU's 160-bit memory bus width and relatively low boost clock of 1560 MHz suggest that raw gaming performance may be lower than what the FP32 compute figure implies, as gaming often relies on rasterization and memory bandwidth more than raw compute throughput.

The CPU's single-thread performance, as evidenced by the Cinebench R23 single-core score of 1680 and 3DMark single-thread score of 909, is adequate for gaming. The 4.40 GHz boost clock ensures responsive frame times in most scenarios. However, the 6-core/12-thread configuration may limit performance in games that scale well beyond 6 cores, though this is becoming less common. At 4K resolution, the GPU will likely become the primary bottleneck, but the CPU's performance should remain sufficient.

For competitive esports titles, this system should deliver high frame rates at 1080p, given the CPU's strong single-core performance and the GPU's compute capabilities. For AAA titles at 1440p, the system should maintain playable frame rates with high settings, but it may not reach the maximum FPS achievable by more gaming-oriented GPUs. The absence of measured data means these expectations are qualitative estimates based on the benchmark scores, not definitive performance figures.

Upgrade Path and Platform

The Intel Core i5-12400F uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. This flexibility allows users to choose between cost-effective DDR4 or higher-performance DDR5, though the memory bandwidth figures are not provided in the data. The CPU supports PCIe Gen 5 with 20 lanes from the CPU, providing ample bandwidth for future expansion cards and NVMe storage.

The RTX 4000 SFF Ada Generation uses a PCIe 4.0 x16 interface, which is backward compatible with the CPU's PCIe Gen 5 capability. The GPU's 70 W TDP is remarkably low for its performance class, and the suggested PSU of 250 W indicates that this system has substantial power headroom. The CPU's 65 W TDP combined with the GPU's 70 W TDP means the total system draw is modest, allowing for a compact and efficient power supply.

The GPU requires no power connectors, drawing all power from the PCIe slot. Its dual-slot design and 168 mm length (6.6 inches) make it suitable for small form factor cases, as indicated by the "SFF" designation. The 4x mini-DisplayPort 1.4a outputs support multi-monitor setups, which is a key feature for professional workstations.

A sensible next upgrade path would be to increase CPU performance by moving to a higher-tier Socket 1700 processor, as the platform supports the full 12th Gen Core family. However, the current CPU's 73rd percentile position means it is not a significant weakness. The GPU, being in the 95th percentile, is unlikely to need an upgrade in the near term. The DDR4/DDR5 memory flexibility means users can upgrade memory without changing the motherboard, and the PCIe Gen 5 support ensures compatibility with future high-bandwidth devices.

CPU Analysis

The Intel Core i5-12400F is a 6-core, 12-thread processor based on the Alder Lake architecture, manufactured on Intel's 10 nm process. It has a base clock of 2.50 GHz and a boost clock of 4.40 GHz, with a 65 W TDP. The cache hierarchy consists of 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and 18 MB of shared L3 cache. The die size is 163 mm².

Benchmark results show the CPU's strengths and weaknesses. The Cinebench R23 multi-core score of 12380 is solid for a 6-core part, while the single-core score of 1680 is competitive with many modern processors. The 3DMark scores demonstrate good scaling from 2 threads (1699) to 8 threads (4779), but the plateau at max threads (5912) indicates that the 12 threads are fully utilized but do not provide additional headroom. The Passmark single-thread score of 3481 and multi-thread score of 19433 reinforce this picture.

For real workloads, this CPU is well-suited for tasks that require strong single-thread performance, such as office productivity, web browsing, and gaming. The 6-core configuration handles multi-threaded tasks like video encoding and 3D rendering adequately, but it is not a top-tier multi-core performer. The Passmark data encryption score of 11679 and data compression score of 233327 indicate that the CPU handles security and data-intensive tasks competently. The find prime numbers score of 72 is low, suggesting that pure integer computation is not this CPU's primary strength, but the integer math score of 59995 shows it is not a bottleneck for most applications.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU based on the AD104 chip, manufactured on TSMC's 5 nm process. It contains 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8 million per mm². The GPU has 6144 shading units, 192 texture mapping units, and 64 raster operation units, along with 48 ray tracing cores and 192 tensor cores.

Memory configuration is notable: 20 GB of GDDR6 on a 160-bit bus, providing 280.0 GB/s of bandwidth. This is a generous amount of VRAM for a SFF card, making it suitable for large datasets and high-resolution textures. The base clock is 720 MHz with a boost clock of 1560 MHz, and memory runs at 1750 MHz (14 Gbps effective). The pixel rate is 99.84 GPixel/s, and the texture rate is 299.5 GTexel/s.

The FP32 performance of 19.17 TFLOPS and FP16 performance of 19.17 TFLOPS (1:1 ratio) indicate that this card is a compute powerhouse. The 1:1 FP16/FP32 ratio is particularly important for AI and machine learning workloads, as it means the card can process FP16 data at the same speed as FP32 without any penalty. The Geekbench OpenCL score of 124812 and Vulkan score of 109364 place it in the 95th percentile of all GPUs.

For rendering workloads, the 48 ray tracing cores and 192 tensor cores provide hardware acceleration for ray-traced graphics and AI-based features like DLSS. The 20 GB VRAM is sufficient for complex 3D scenes and large texture sets. The 70 W TDP and lack of power connectors make this a remarkably efficient card, suitable for multi-GPU configurations or power-constrained environments. The display outputs (4x mini-DisplayPort 1.4a) support professional multi-monitor setups.

FAQ

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

A: The combined percentile is 84, indicating this is a high-performance desktop configuration that outperforms 84% of all systems.

Q: How does the CPU compare to its nearest rival in terms of average benchmark score?

A: The Intel Core i5-12400F has an average benchmark score of 19039, which is virtually identical to the AMD Ryzen 5 7535HS at 19047, showing a delta of 0%.

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

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

Q: Does this system support DDR4 or DDR5 memory?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, giving users flexibility in memory choice.

Q: What is the GPU's suggested power supply requirement?

A: The suggested PSU is 250 W, which is low for the GPU's performance level, and the GPU itself has a 70 W TDP with no external power connectors required.

Q: What are the GPU's FP32 and FP16 performance figures?

A: The GPU delivers 19.17 TFLOPS for both FP32 and FP16, with a 1:1 ratio, meaning there is no performance penalty for using half-precision calculations.

Q: How many display outputs does the GPU have?

A: The GPU features 4x mini-DisplayPort 1.4a outputs, supporting multi-monitor professional setups.

Build Overview

This build pairs the Intel Core i5-12400F with the NVIDIA RTX 4000 SFF Ada Generation in a desktop configuration. The CPU is a 6-core Alder Lake processor with a 65 W TDP, while the GPU is a 70 W workstation card with 20 GB of GDDR6 memory. The combined percentile of 84 places this system in the upper tier of desktop configurations.

The GPU is clearly the dominant component, sitting in the 95th percentile of all GPUs, while the CPU sits in the 73rd percentile. This asymmetry defines the system's character: it is a GPU-first workstation that excels in compute-intensive tasks but is constrained by CPU performance in lightly-threaded workloads. The low power draw of both components (65 W CPU + 70 W GPU) makes this an efficient system that can be housed in compact cases, as the GPU's SFF designation indicates.

The overall tier from the percentiles is high-end, but not flagship. The 84th combined percentile means this system will outperform the majority of desktop PCs, but it is not at the absolute top of the performance spectrum. The CPU's 73rd percentile and GPU's 95th percentile create a performance envelope where GPU-accelerated tasks will feel exceptionally fast, while CPU-bound tasks will feel merely competent.

Who Should Build It

This system is ideally suited for professionals and creators who require significant GPU compute power in a compact form factor. The GPU's 20 GB VRAM and 19.17 TFLOPS of FP32 performance make it well-suited for 3D rendering, video editing, and scientific computing. The 1:1 FP16/FP32 ratio is particularly valuable for AI and machine learning practitioners who need to run inference or training workloads at half precision.

Gamers at 1440p resolution will find this system capable, though it is not optimized for gaming. The GPU's 95th percentile ranking suggests it can handle most titles at high settings, but the CPU's 73rd percentile may limit performance in CPU-bound games. The 20 GB VRAM provides headroom for high-resolution textures, and the 4x mini-DisplayPort outputs support multi-monitor gaming setups.

Content creators working with video editing, 3D modeling, or animation will benefit from the GPU's compute capabilities. The 48 ray tracing cores accelerate ray-traced renders, and the 192 tensor cores support AI-enhanced workflows. The low power draw makes this suitable for small form factor workstations that need to be quiet and efficient.

Students and researchers in fields like data science, engineering simulation, or computer graphics will find this system capable of handling their workloads. The CPU's strong single-thread performance ensures responsive daily use, while the GPU provides the compute power for intensive tasks. Small business workstations that need to run professional applications like CAD, BIM, or GIS software would also benefit from this configuration, as the GPU's workstation-class drivers and 20 GB VRAM are well-suited for these applications.