SYSTEM ANALYZER

Rate My PC: Intel Core i5-12400T + NVIDIA RTX 5000 Ada Generation

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

87 / 100
HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
75%
VS
GPU
99%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i5-12400T

4,019 Benchmark Score
Top 25% 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

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

Bottleneck Detected

CPU Bottleneck - Upgrading the weaker component will improve overall performance.

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

# FAQ

Q: What is the Intel Core i5-12400T's position relative to other CPUs?

A: The i5-12400T sits in the 57th percentile of all CPUs, with an average benchmark score of 4019. It is essentially tied with the AMD Ryzen 5 PRO 4655G (4010, +0.2%), the Intel Xeon E5-2698B v3 (4004, +0.4%), and the Intel Xeon E-2336 (3985, +0.9%), while trailing the Intel Xeon E-2278G (4052, -0.8%) by less than one percent.

Q: How does the RTX 5000 Ada Generation compare to other GPUs in raw compute?

A: The GPU ranks in the 98th percentile of all GPUs, with an average benchmark score of 184,664. It is within 1.4% of the NVIDIA A100 SXM4 80 GB (183,725, +0.5%) and the NVIDIA RTX PRO 5000 Blackwell (182,109, +1.4%), and it outperforms the NVIDIA GeForce RTX 4090 D (178,050) by 3.7%.

Q: What are the CPU's core and thread counts?

A: The i5-12400T has 6 cores and 12 threads, based on Intel's Alder Lake architecture. It operates at a base clock of 1800 MHz and boosts up to 4200 MHz, with a 35W TDP.

Q: What memory and PCIe support does the platform offer?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration. It provides PCIe Gen 5 with 20 lanes from the CPU, and it uses the Intel Socket 1700.

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

A: The RTX 5000 Ada Generation features 32 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. Its memory clock runs at 2250 MHz, translating to 18 Gbps effective.

Q: Are there measured FPS results for this specific CPU+GPU combination?

A: No, the data pack contains no measured FPS rows for this exact combination. All frame rate discussions in this analysis are estimated from the individual benchmark scores, not from direct testing.

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

A: The build achieves a combined percentile of 78, placing it well above the median desktop configuration. This reflects the GPU's near-top-tier standing compensating for the CPU's mid-range position.

# GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. The chip, designated AD102, contains 76,300 million transistors on a 609 mm² die, yielding a transistor density of 125.3 million per square millimeter. This is a massive, complex die designed for compute-heavy professional workloads.

Memory configuration is generous: 32 GB of GDDR6 across a 256-bit bus, providing 576.0 GB/s of bandwidth. For context, this bandwidth figure is critical for large dataset manipulation, high-resolution texture streaming, and multi-model AI inference tasks that exceed the VRAM of consumer cards. The 32 GB capacity alone suggests the GPU is targeted at tasks like 8K video editing, complex 3D scene rendering, and machine learning model training that cannot fit into smaller memory pools.

Clock speeds are modest for such a large chip, with a base of 1155 MHz and a boost of 2550 MHz. The relatively low base clock is typical of workstation cards that prioritize sustained performance and thermal stability over bursty gaming clocks. The boost clock of 2550 MHz, however, is respectable and indicates the card can reach high frequencies when cooling allows.

The compute resources are substantial. The GPU packs 12,800 shading units, 400 texture mapping units, and 176 raster output units. This configuration yields a pixel rate of 448.8 GPixel/s and a texture rate of 1,020.0 GTexel/s. In FP32 compute, the card delivers 65.28 TFLOPS, and it matches that in FP16 at a 1:1 ratio, which is notable for AI workloads that rely on reduced precision.

Ray tracing and tensor hardware are present in force: 100 RT cores and 400 tensor cores. This suggests strong performance in ray-traced rendering and in DLSS or similar AI-accelerated features, though the workstation focus means these are more likely used for professional visualization and neural network inference than gaming.

The API support is complete: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This ensures compatibility with modern rendering engines and scientific visualization tools.

Benchmark results confirm the GPU's high standing. It scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, averaging 184,664. The 98th percentile ranking places it among the top 2% of all GPUs. Compared to the NVIDIA A100 SXM4 80 GB, it is 0.5% faster; against the A100 SXM4 40 GB, it is 1.3% slower; and it beats the RTX 4090 D by 3.7%. The deltaPct values are tight, indicating that this card trades blows with the best accelerators in existence.

For rendering workloads, the FP32 throughput of 65.28 TFLOPS is the headline number. This is raw compute for shader-heavy scenes, physics simulations, and scientific computing. The 576.0 GB/s bandwidth ensures that texture and geometry data do not starve the compute units. The 32 GB VRAM means scenes with billions of triangles or massive texture atlases will fit without swapping to system memory.

The power envelope is 250 W TDP, with a suggested PSU of 600 W. The card is dual-slot, 267 mm long, and uses a single 16-pin power connector. This is a physically large card but not excessively power-hungry for its performance class, making it feasible for single-GPU workstation builds.

# Benchmark Performance

The CPU's benchmark results paint a picture of a balanced mid-range processor. In Cinebench R15, it scores 1333 multi-core and 188 single-core. Cinebench R20 shows 5558 multi-core and 784 single-core. Cinebench R23 yields 13234 multi-core and 1868 single-core. Geekbench results are 7144 multi-core and 2044 single-core. The average across these tests is 4019, placing the CPU in the 57th percentile.

These numbers indicate a processor that is competent for everyday productivity and moderately threaded workloads, but not a high-end multi-core monster. The single-core scores are respectable, suggesting good responsiveness in lightly threaded applications. The multi-core scores are adequate for mainstream content creation but will lag behind 8-core or 12-core rivals in heavily parallel tasks.

The GPU's benchmark performance is in a different league entirely. With a Geekbench OpenCL score of 175,286 and Vulkan score of 194,041, the RTX 5000 Ada Generation averages 184,664. This places it in the 98th percentile, meaning only 2% of GPUs are faster. The nearest rivals are all data-center or top-tier workstation cards: the A100 SXM4 80 GB, A100 SXM4 40 GB, and RTX PRO 5000 Blackwell, with the RTX 4090 D trailing by 3.7%.

The combined picture is one of extreme asymmetry. The GPU is near the top of the performance hierarchy, while the CPU sits just above the median. The combined percentile of 78 reflects this imbalance: the build is better than most, but the GPU is carrying the load.

When interpreting these scores, the CPU's Cinebench R23 multi-core of 13234 is roughly one-third of what a high-end 16-core CPU might achieve, but the single-core score of 1868 is competitive with newer mainstream parts. The Geekbench multi-core of 7144 is modest, but the single-core of 2044 is strong.

For the GPU, the 65.28 TFLOPS FP32 figure is the key metric. It means that any compute task that can be parallelized across the 12,800 shading units will complete at near-supercomputer speeds. The 32 GB VRAM and 576.0 GB/s bandwidth ensure data movement is not the bottleneck.

The deltaPct values for the GPU are small, indicating this is a tightly contested performance tier. Being 0.5% faster than an A100 SXM4 80 GB is remarkable for a single-slot workstation card, though the A100 has different architectural strengths. The 3.7% lead over the RTX 4090 D shows that this card is not merely a rebadged gaming GPU; it is tuned for sustained professional workloads.

# Balance and Bottleneck

The data reveals a significant bottleneck imbalance. The CPU, in the 57th percentile, is the limiting factor for many workloads, while the GPU, in the 98th percentile, has headroom to spare. In gaming at lower resolutions, the CPU is likely to cap frame rates before the GPU reaches its maximum output. At higher resolutions, the GPU's workload increases, potentially shifting the bottleneck toward the GPU, but the CPU's modest multi-core scores suggest it may still struggle in CPU-intensive scenes.

The Cinebench R23 multi-core score of 13234 is the CPU's ceiling for heavily threaded tasks. In contrast, the GPU's FP32 throughput of 65.28 TFLOPS is a massive compute resource. For workloads that are primarily GPU-bound—such as 3D rendering, deep learning training, or video encoding—the CPU's role is to feed the GPU with data, which the i5-12400T can likely do for most single-stream tasks, but may falter in multi-stream or physics-heavy simulations.

The FPS scaling evidence, though not measured directly, can be inferred from the benchmark scores. At 1080p, the CPU's single-core Geekbench score of 2044 will likely keep frame rates high in less demanding games, but in titles with heavy AI or physics, the 6 cores and 12 threads may become a constraint. At 1440p and 4K, the GPU's 98th percentile performance will dominate, and the CPU bottleneck will be less pronounced, but it will not disappear entirely.

The memory bandwidth of the GPU, at 576.0 GB/s, is ample for feeding the 12,800 shading units. The CPU's dual-channel memory support, either DDR4 or DDR5, is a potential bottleneck for data-intensive tasks, but the lack of a specified memory bandwidth figure in the data pack prevents a precise comparison.

In professional workloads, the balance is skewed toward the GPU. For tasks like ray-traced rendering, the 100 RT cores will be fully utilized, and the CPU will wait. For tasks like data compression or code compilation, the CPU's 57th percentile standing means it will be the limiting factor. The combined percentile of 78 reflects this: the system is stronger than the CPU alone, but weaker than the GPU alone.

The TDP figures reinforce this imbalance. The CPU consumes 35W, while the GPU consumes 250W. This 7:1 ratio in power draw mirrors the performance ratio. The suggested PSU of 600W is ample for this combination, leaving headroom for additional drives or peripherals, but the CPU's low power draw means it is not a thermal burden on the system.

# Who Should Build It

This pairing targets users who need exceptional GPU compute but do not require top-tier CPU multi-threading. The RTX 5000 Ada Generation's 32 GB VRAM and 65.28 TFLOPS FP32 performance make it ideal for professionals in 3D rendering, scientific computing, and AI development who work with large datasets. The CPU's 57th percentile performance is sufficient for managing these workloads but will not excel at CPU-bound tasks like software compilation or physics simulation.

For gamers, this build is overkill at 1080p and 1440p, where the CPU may limit frame rates, but it becomes more balanced at 4K, where the GPU's 98th percentile performance can shine. Gamers who play at 4K with ray tracing and DLSS will benefit from the 100 RT cores and 400 tensor cores.

Content creators who work with 8K video, complex After Effects compositions, or multi-layer Photoshop files will appreciate the GPU's massive VRAM and compute throughput. The CPU's 6 cores and 12 threads are adequate for video editing timelines but may be slow for final render exports if the software is CPU-accelerated.

Software developers working on AI or machine learning models will find the GPU's tensor cores and 32 GB VRAM invaluable for training and inference. The CPU's modest multi-core scores mean that code compilation will be slower than on a higher-core-count CPU, but the development cycle is often GPU-bound for model training.

Students and small business workstations are a secondary audience. The CPU's low 35W TDP makes for a power-efficient system, and the GPU, while power-hungry at 250W, is a single-slot (dual-slot physical) card that can fit in a standard desktop. The combined 78th percentile performance is more than adequate for office productivity, but the GPU's cost and capability are excessive for such tasks.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFps entries, so all frame rate figures below are estimates derived from the benchmark scores and should be treated as approximations, not empirical results.

Based on the GPU's 98th percentile ranking and the CPU's 57th percentile, gaming performance will be heavily dependent on resolution and game engine. At 1080p, the CPU is likely the limiting factor. Its Cinebench R23 single-core score of 1868 and Geekbench single-core of 2044 indicate it can handle modern game logic, but in CPU-heavy titles like simulation games or large multiplayer battles, frame rates may dip below what the GPU could otherwise deliver.

At 1440p, the balance shifts toward the GPU. The RTX 5000 Ada Generation's 65.28 TFLOPS FP32 and 576.0 GB/s bandwidth will allow high frame rates in most titles, and the 32 GB VRAM ensures no texture or geometry pop-in. The CPU's 6 cores and 12 threads should keep up with most games, but frame pacing may suffer in scenes with heavy AI or destructible environments.

At 4K, the GPU is the clear driver. The 98th percentile standing suggests this card can handle 4K ultra settings in most games, with ray tracing enabled where supported. The 100 RT cores and 400 tensor cores will enable DLSS and ray-traced effects without crippling performance. The CPU, while not ideal, will be less of a bottleneck at this resolution, as the GPU's workload increases.

Esports titles at 1080p, such as competitive shooters, will likely see high frame rates, but the CPU's single-core performance is not exceptional, so frame rates may not reach the 300+ FPS that competitive gamers seek. The GPU's 176 ROPs and 448.8 GPixel/s pixel rate ensure that rasterization is not a bottleneck.

For VR gaming, the GPU's compute and bandwidth are ample, but the CPU's modest performance may cause judder in complex scenes. The lack of measured data makes these estimates speculative, but the benchmark scores strongly suggest that the GPU will not be the limiting factor at any resolution.

# Upgrade Path and Platform

The CPU uses the Intel Socket 1700, which is the platform for Alder Lake and Raptor Lake processors. This means users can upgrade to a higher-core-count 12th or 13th generation CPU without changing the motherboard. The memory support for both DDR4 and DDR5 provides flexibility, though users must choose one or the other based on their motherboard.

The PCIe Gen 5 support with 20 lanes from the CPU is a forward-looking feature, though the GPU uses PCIe 4.0 x16. This means the GPU is not bandwidth-limited, and future PCIe 5.0 GPUs will have headroom. The CPU's 20 lanes are sufficient for a single high-end GPU and one or two NVMe SSDs.

The power delivery is straightforward. The CPU's 35W TDP is minimal, and the GPU's 250W TDP with a suggested PSU of 600W leaves ample headroom. A 600W PSU is sufficient for this build, but a higher-wattage unit would allow for future upgrades to a more power-hungry CPU or additional GPUs, though the single 16-pin power connector on the GPU limits multi-GPU configurations.

A sensible next upgrade would be to replace the i5-12400T with a higher-core-count Socket 1700 CPU, such as a Core i7 or i9 from the same generation. This would address the CPU bottleneck in multi-threaded workloads without requiring a motherboard change. The memory and PCIe infrastructure would remain valid.

Alternatively, users could add more storage or memory, as the CPU's dual-channel memory bus supports both DDR4 and DDR5, and the platform has 20 PCIe Gen 5 lanes for expansion. The GPU is already near the top of the performance hierarchy, so upgrading it would yield diminishing returns.

The platform's production status is Active for both CPU and GPU, meaning ongoing availability and driver support. The GPU's release date of 2023-08-08 and its predecessor (Workstation Ampere) and successor (Blackwell PRO W) indicate a clear product lifecycle, but the current card remains relevant.

# Build Overview

This build pairs the Intel Core i5-12400T, a low-power 6-core desktop processor, with the NVIDIA RTX 5000 Ada Generation, a high-end workstation GPU. The build class is desktop, and the combined percentile of 78 places it in the upper quartile of all systems.

The CPU is a mainstream part with a 35W TDP, designed for efficiency. The GPU is a professional workstation card with a 250W TDP, designed for maximum compute. The contrast is stark: the CPU is in the 57th percentile of all CPUs, while the GPU is in the 98th percentile of all GPUs.

This is not a balanced gaming rig; it is a workstation with a server-grade GPU and a modest CPU. The data shows that the GPU is the dominant component, providing the vast majority of the system's compute capability. The CPU is sufficient to feed the GPU in most professional workloads but will be a bottleneck in CPU-bound tasks.

The overall tier is "upper mid-range to high-end," driven almost entirely by the GPU. The CPU alone would place this system in the mid-range, but the GPU boosts it to near-top-tier status for GPU-accelerated tasks. This is a build for users who prioritize GPU compute over all else and are willing to accept a modest CPU for the sake of cost or power efficiency.

# CPU Analysis

The Intel Core i5-12400T is a 6-core, 12-thread processor based on the Alder Lake architecture, manufactured on Intel's 10 nm process. The die size is 163 mm², and it uses the Socket 1700. The base clock is 1800 MHz, which is low, but the boost clock reaches 4200 MHz, providing a substantial dynamic range for bursty workloads.

The cache hierarchy is substantial for a mainstream chip: 80 KB of L1 per core, 1.25 MB of L2 per core, and 18 MB of shared L3 cache. This 18 MB L3 is shared across all cores, which helps with inter-core communication and data sharing in multi-threaded tasks.

Memory support includes both DDR4 and DDR5 in a dual-channel configuration, but no specific memory bandwidth figure is provided. The integrated graphics are UHD Graphics 730, which is sufficient for basic display output but not for gaming.

The benchmark scores are consistent with a mid-range CPU. Cinebench R23 multi-core of 13234 and single-core of 1868 indicate that the CPU is capable in lightly threaded tasks but falls behind in heavily threaded workloads compared to higher-core-count parts. Geekbench multi-core of 7144 and single-core of 2044 confirm this pattern.

The percentile vs all CPUs is 57, meaning the i5-12400T is slightly above the median. The nearest rivals are all older or similarly positioned parts: the Ryzen 5 PRO 4655G (4010, +0.2%), Xeon E5-2698B v3 (4004, +0.4%), Xeon E-2278G (4052, -0.8%), and Xeon E-2336 (3985, +0.9%). The deltaPct values are tiny, indicating that these CPUs are functionally equivalent in average benchmark score.

The TDP of 35W is remarkably low for a desktop CPU with 6 cores and a 4.2 GHz boost. This makes it ideal for compact builds or systems where power efficiency is paramount. The multiplier is locked, so overclocking is not possible, but the boost clock is already respectable.

For real workloads, the CPU's single-core performance is adequate for office applications, web browsing, and light coding. Multi-core performance is sufficient for mainstream video editing and 3D modeling, but will be slow for 4K video rendering or complex simulations. The 12 threads help with multitasking, but the low base clock means sustained heavy loads will not be as fast as higher-clocked parts.

The process node of 10 nm from Intel is not as advanced as the GPU's 5 nm from TSMC, but it allows for the low TDP and reasonable performance. The production status is Active, and the launch MSRP was $192, though this price is not discussed further per the rules.

# Usage Scenarios

High-refresh gaming: At 1080p, the CPU's single-core score of 2044 in Geekbench will limit frame rates in competitive titles, likely preventing 240Hz+ output. At 1440p and 4K, the GPU's 98th percentile performance will dominate, but the CPU may still cause frame dips in CPU-intensive scenes. This is not an ideal high-refresh gaming build due to the CPU bottleneck.

Streaming: The GPU's tensor cores and NVENC (implied by the architecture) would handle encoding well, but the CPU's 6 cores and 12 threads are limited for simultaneous gaming and encoding. The Cinebench R23 multi-core score of 13234 suggests that streaming at high bitrates while gaming will strain the CPU, unless GPU-based encoding is used exclusively.

Video editing: The GPU's 32 GB VRAM and 576.0 GB/s bandwidth are excellent for 4K and 8K timelines, and the 65.28 TFLOPS FP32 will accelerate effects and color grading. The CPU's multi-core score of 5558 in Cinebench R20 is adequate for timeline scrubbing but will slow export times in CPU-accelerated codecs.

3D rendering: This is where the build excels. The GPU's 12,800 shading units and 100 RT cores will render scenes at near-interactive rates. The CPU's role is to prepare geometry and physics, which the 6 cores can handle for moderate complexity. The 32 GB VRAM allows for entire scenes to reside in GPU memory, avoiding PCIe transfers.

Software development: The CPU's single-core performance is fine for code editing and compilation of small projects, but the multi-core score of 7144 in Geekbench means large builds will be slow. The GPU, however, accelerates any parallel compute tasks, such as unit testing on GPU or machine learning model training, making this a decent developer machine for AI work.

Student and office work: The CPU's 35W TDP makes for a quiet, efficient system, and the integrated graphics can drive multiple displays. The GPU is overkill for office tasks, but the system's overall performance is smooth for spreadsheets, documents, and browsing. The 57th percentile CPU ensures responsiveness in everyday applications.