SYSTEM ANALYZER

Rate My PC: Intel Core i5-13400T + NVIDIA RTX 4000 SFF 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
76%
VS
GPU
99%

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

PROCESSOR

Intel Core i5-13400T

5,210 Benchmark Score
Top 24% 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

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

The Intel Core i5-13400T and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that targets a specific niche: delivering high-end workstation graphics capability and competent multi-threaded processing within a compact, power-efficient footprint. The CPU, a 35 W part from the Raptor Lake family, offers 10 cores and 16 threads, while the GPU, based on the Ada Lovelace architecture, provides 20 GB of VRAM and sits in the 95th percentile of all GPUs. This analysis examines the data to determine where this combination excels, where its limitations lie, and who should consider building around it.

Usage Scenarios

High-Refresh Gaming: At 1080p and 1440p, the RTX 4000 SFF Ada Generation is the dominant factor. Its Geekbench Vulkan score of 109,364 places it in the 95th percentile of all GPUs, indicating immense raw graphics throughput. However, the Core i5-13400T's modest 4.40 GHz boost clock and 60th percentile ranking among all CPUs suggest it may limit frame rates in CPU-bound scenarios at these resolutions. The data indicates the GPU will be the star for high-refresh gaming, but the CPU's single-core performance, evidenced by a Geekbench single-core score of 1899, will be the ceiling in less demanding titles.

Streaming: The combination is well-suited for a single-PC streaming setup. The GPU's 192 tensor cores and 48 RT cores provide dedicated hardware for encoding and AI-accelerated features, offloading the work from the CPU. The CPU's 16 threads, reflected in a Cinebench R23 multi-core score of 17,029, are sufficient to handle game logic and streaming software simultaneously. The low 35 W TDP of the CPU means the system will generate less heat, a benefit for sustained streaming sessions.

Video Editing: This workload leverages both components heavily. The CPU's multi-core performance, scoring 10,227 in Geekbench multi-core and 7,152 in Cinebench R20, will handle timeline scrubbing and export encoding. The GPU's 20 GB of VRAM and 280.0 GB/s of memory bandwidth are substantial assets for applying effects, color grading, and rendering previews in 4K. The 95th percentile GPU performance suggests that effects-heavy timelines will be exceptionally fluid, with the CPU potentially being the limiting factor during final renders.

3D Rendering: The RTX 4000 SFF Ada Generation is a clear professional-grade tool for this task. Its OpenCL score of 124,812 is a strong indicator of raw compute power for ray tracing and path tracing workloads. The 20 GB VRAM buffer allows for large, complex scenes and high-resolution textures to be loaded without swapping. The CPU's 10 cores and 16 threads will contribute to scene preparation and physics calculations, but the rendering itself will be overwhelmingly GPU-bound, making this a highly efficient configuration for 3D artists.

Software Development: The 10-core, 16-thread processor is a capable workhorse for compiling code and running virtual machines. Its Cinebench R23 multi-core score of 17,029 indicates solid parallel processing capability for build tasks. The GPU, while powerful, is not a primary asset for standard development work, but its compute capabilities could be leveraged for local machine learning model training or testing GPU-accelerated applications. The 35 W TDP of the CPU is a significant advantage for developers who value a quiet, cool, and energy-efficient workstation that can run for long periods.

Student and Office Work: This configuration is significantly over-spec'd for basic tasks like word processing, spreadsheets, and web browsing. The CPU's performance, while in the 60th percentile, is more than ample for these workloads, and the GPU's power is largely idle. The primary benefits here are the system's small form factor and low power draw, making it a discreet and efficient machine for a dorm room or office. The UHD Graphics 730 integrated GPU on the CPU provides a fallback, but the discrete RTX 4000 card is the primary display driver.

FAQ

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

A: The Core i5-13400T has an average benchmark score of 5210, which is 0.2% higher than the Intel Xeon E-2378G, 0.6% higher than both the Intel Core i9-10850K and Intel Core i7-11700B, and 0.8% higher than the Intel Core i5-14401E. This indicates it performs nearly identically to these established desktop and workstation chips.

Q: What is the GPU's performance percentile and what does it mean?

A: The RTX 4000 SFF Ada Generation is in the 95th percentile of all GPUs. This means it outperforms 95% of all other graphics cards in the benchmark database, placing it firmly in the high-end enthusiast and professional workstation tier.

Q: How does the GPU's OpenCL score compare to its closest competitor?

A: The GPU's Geekbench OpenCL score is 124,812. Its nearest rival, the AMD Radeon PRO W7700, has an average score of 118,976, which is 1.6% lower. The RTX 4000 SFF is also 2.4% higher than the NVIDIA Tesla V100 SXM2 16 GB.

Q: Is this a desktop or laptop build?

A: The build class is explicitly identified as "desktop". The CPU is an Intel Socket 1700 part for desktop motherboards, and the GPU is a dual-slot, 168 mm card designed for desktop chassis.

Q: What type of memory does the GPU use and how much bandwidth does it have?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus, providing a total bandwidth of 280.0 GB/s. This is a substantial amount of memory for large datasets and high-resolution textures.

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

A: The combined percentile for this specific configuration is 78. This suggests that as a complete system, it outperforms 78% of all possible CPU+GPU combinations in the database, highlighting the GPU's strength relative to the CPU.

Q: Does the CPU have integrated graphics as a fallback?

A: Yes, the CPU includes Intel UHD Graphics 730. While the discrete RTX 4000 SFF Ada Generation GPU is the primary graphics processor, the integrated unit can be used for troubleshooting or basic display output if the discrete card is removed or disabled.

Benchmark Performance

The benchmark data presents a clear picture of a system with a strong GPU and a mid-range CPU. In CPU-centric tests, the Core i5-13400T demonstrates respectable but not class-leading performance. Its Cinebench R23 multi-core score of 17,029 and single-core score of 2,404 place it in the 60th percentile of all CPUs. This is reinforced by an average benchmark score of 5,210, which places it in a tight cluster with rivals like the Intel Xeon E-2378G (5,199) and Intel Core i9-10850K (5,240), with negligible performance deltas of 0.2% and -0.6%, respectively.

The GPU, conversely, is a performance powerhouse. Its Geekbench OpenCL score of 124,812 and Vulkan score of 109,364 place it in the 95th percentile of all GPUs. Its average benchmark score of 117,088 is 2.8% higher than the NVIDIA RTX A5500 Mobile and 2.4% higher than the NVIDIA Tesla V100 SXM2 16 GB, showing it can compete with and beat larger, older workstation cards. The combined percentile for the system is 78, indicating that while the CPU is not a top-tier part, the GPU's strength pulls the overall package into a high-performance bracket. The data suggests a system capable of handling demanding professional workloads with ease, where the GPU is the primary driver of performance.

Balance and Bottleneck

The performance data indicates a system where the GPU is the clearly dominant component, making CPU bottlenecks likely in specific scenarios. The RTX 4000 SFF Ada Generation’s 95th percentile performance vastly outstrips the Core i5-13400T's 60th percentile standing. In gaming at lower resolutions like 1080p, where frame rates are high, the CPU's single-thread performance (Geekbench single-core score of 1,899) will likely become the limiting factor, preventing the GPU from reaching its full potential. This is a classic CPU-bound scenario.

In contrast, for GPU-intensive workloads like 3D rendering or high-resolution video editing, the balance shifts. The GPU's OpenCL score of 124,812 and its 20 GB VRAM buffer will be the primary workhorses, and the CPU will be less likely to create a bottleneck. The CPU's 16 threads will handle the supporting tasks, but the overall throughput will be dictated by the GPU. The 35 W TDP of the CPU, compared to the GPU's 70 W TDP, further underscores the GPU's role as the primary performance and power consumer. The system is best balanced for GPU-accelerated tasks, where the CPU's mid-range capabilities are sufficient to feed the GPU's enormous compute throughput.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation-focused graphics card built on the Ada Lovelace architecture. It is powered by the AD104 chip, fabricated on a 5 nm process at TSMC, and contains 35,800 million transistors on a 294 mm² die. The card features 6,144 shading units, 192 texture mapping units, and 64 ROPs. Its memory subsystem consists of 20 GB of GDDR6 on a 160-bit bus, yielding a bandwidth of 280.0 GB/s. The GPU operates at a base clock of 720 MHz and a boost clock of 1560 MHz, with memory running at 1750 MHz (14 Gbps effective).

The inclusion of 48 RT cores and 192 tensor cores makes this a capable card for ray-traced rendering and AI-accelerated workloads. The FP32 performance is rated at 19.17 TFLOPS, with FP16 also at 19.17 TFLOPS (1:1), indicating strong compute throughput for professional applications. The card's pixel rate is 99.84 GPixel/s, and its texture rate is 299.5 GTexel/s. In benchmark tests, it scored 124,812 in Geekbench OpenCL and 109,364 in Vulkan, placing it in the 95th percentile. Its average score of 117,088 is 1.6% lower than the AMD Radeon PRO W7700, demonstrating it is a top-tier competitor in its class. With a 70 W TDP and a dual-slot, 168 mm design, it is engineered for compact workstations without compromising on raw performance.

Who Should Build It

This build is ideal for professionals and enthusiasts who need high-end GPU compute power in a compact and power-efficient desktop system. 3D artists and animators will benefit from the 20 GB VRAM and 95th percentile GPU performance for rendering complex scenes. Video editors working with 4K or higher resolution footage will find the GPU's compute capabilities and memory bandwidth excellent for effects and color work. Data scientists and machine learning engineers can leverage the 192 tensor cores for model training and inference tasks. Software developers who work on graphics-heavy applications or require CUDA acceleration for their workflows will find this a potent platform.

Gamers targeting 1440p or 4K resolutions with high graphical settings will be well-served by the GPU, though they should be aware of the potential CPU bottleneck at lower resolutions. The system's low power draw and dual-slot GPU make it suitable for small-form-factor (SFF) workstation builds where space and thermal management are at a premium. Students and office workers in technical fields who require GPU acceleration for simulations or design software will also find this to be a capable, quiet, and efficient machine. It is not a typical gaming-first build, but rather a professional workstation with gaming capabilities.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700 interface, which supports the Core 13th Gen processor. The CPU supports DDR4 and DDR5 memory across a dual-channel bus, providing flexibility in memory choice. The CPU also offers PCIe Gen 5 with 20 lanes, while the GPU is connected via a PCIe 4.0 x16 interface. The system's power requirements are modest, with a 35 W CPU TDP and a 70 W GPU TDP, and the suggested PSU for the GPU is 250 W, indicating a standard quality power supply will suffice.

A sensible next upgrade would be to increase the system memory to the maximum supported by the motherboard, as the CPU's benchmarks suggest it can benefit from a robust memory configuration. For storage, adding a fast NVMe SSD would complement the high-bandwidth capabilities of the GPU. The primary upgrade path for increased performance would be a CPU upgrade within the same socket, such as moving to a higher-core-count Raptor Lake part, though this would increase the TDP beyond the current 35 W. However, the current configuration is well-balanced for its intended professional use case, and the most impactful upgrade would likely be additional memory or storage rather than a component swap.

Build Overview

This is a desktop build combining the Intel Core i5-13400T CPU with the NVIDIA RTX 4000 SFF Ada Generation GPU. The CPU is a 10-core, 16-thread processor from the Raptor Lake-S family, and the GPU is a professional workstation card based on Ada Lovelace. The combined performance percentile for this pairing is 78, which places it in the upper echelon of systems in the database. This high combined percentile is driven almost entirely by the GPU, which sits in the 95th percentile of all GPUs, while the CPU is in the 60th percentile. The system is a high-performance workstation-class desktop, designed for tasks that benefit from massive parallel processing power, rather than a balanced gaming or general-purpose machine.

CPU Analysis

The Intel Core i5-13400T is a desktop processor from the Core 13th Gen series, built on the Raptor Lake architecture and fabricated on a 10 nm process. It features 10 cores and 16 threads, with a base clock of 1.30 GHz and a boost clock of 4.40 GHz. The cache hierarchy includes 80 KB of L1 cache per core, 1.25 MB of L2 per core, and a shared 20 MB L3 cache. It supports dual-channel DDR4 and DDR5 memory and has a 35 W TDP. The processor is unlocked, meaning it cannot be overclocked, and includes Intel UHD Graphics 730.

In benchmark results, the CPU scores 1,716 in Cinebench R15 multi-core and 242 in single-core. Its Cinebench R20 scores are 7,152 multi-core and 1,009 single-core. In Cinebench R23, it achieves 17,029 multi-core and 2,404 single-core. Geekbench results show a multi-core score of 10,227 and a single-core score of 1,899. With an average benchmark score of 5,210, it sits in the 60th percentile of all CPUs. This performance is nearly identical to the Intel Xeon E-2378G, which is only 0.2% slower, and the Intel Core i9-10850K, which is 0.6% faster. The data indicates a capable mid-range processor that provides solid multi-threaded performance for productivity and development tasks, while its single-core performance is adequate for general use and gaming but not exceptional.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The following frame rate discussion is therefore estimated based on the benchmark scores of the individual components. The RTX 4000 SFF Ada Generation's 95th percentile GPU performance and strong Vulkan score of 109,364 suggest it is capable of very high frame rates in modern games at 1080p and 1440p resolutions with ultra settings. At 4K resolution, the GPU's 20 GB of VRAM and 280.0 GB/s bandwidth would be a significant advantage, likely allowing for high detail settings.

However, the Core i5-13400T's 60th percentile CPU performance, with a Geekbench single-core score of 1,899, may become a limiting factor at lower resolutions. In CPU-intensive titles, such as esports or real-time strategy games, the frame rate could be constrained by the CPU's processing power, preventing the GPU from reaching its maximum output. The estimates indicate that for graphically demanding AAA titles, this system would deliver a smooth, high-frame-rate experience at 1440p, with the potential for the CPU to be the bottleneck at 1080p in less GPU-bound scenarios. At 4K, the GPU would be the primary driver, and the CPU's impact on performance would be minimized.