SYSTEM ANALYZER

Rate My PC: Intel Core i5-13400E + NVIDIA RTX 4000 Ada Generation

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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88 Score

Top 12% Ranking

88 / 100

HIGH-END

Power Build

Top 12% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

CPU Bottleneck

CPU

78%

GPU

99%

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

PROCESSOR

Intel Core i5-13400E

6,638 Benchmark Score

Top 22% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 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 i5-13400E and NVIDIA RTX 4000 Ada Generation form a desktop pairing that targets professional workstation workloads with a blend of high-core-count CPU processing and workstation-grade GPU acceleration. The data shows a combined percentile of 79, placing this configuration in the upper tier of all tested pairings. The CPU, a Raptor Lake-S part on the Intel Socket 1700 platform, delivers strong multi-threaded performance with 10 cores and 16 threads, while the GPU, based on the Ada Lovelace architecture, sits in the 95th percentile among all GPUs, indicating top-tier compute and rendering capability. This is a system designed for serious work, not casual use.

CPU Analysis

The Intel Core i5-13400E is a 10-core, 16-thread processor built on Intel's Raptor Lake architecture, fabricated on a 10 nm process with a die size of 215 mm². Its base clock is 2.40 GHz, boosting up to 4.60 GHz under load. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 20 MB L3 cache, which is substantial for feeding the 16 threads in multi-threaded applications. The CPU supports dual-channel DDR4 and DDR5 memory and includes ECC memory support, a feature typically important for workstation stability and data integrity. It also provides PCIe Gen 5 with 16 lanes for the CPU, enabling high-bandwidth connectivity for modern storage and expansion cards.

Benchmark results for the CPU demonstrate a balanced profile. In Cinebench R23, the processor scores 22950 in multi-core and 3240 in single-core tests. The multi-core score indicates that the 10 cores can sustain heavy parallel workloads effectively, making it suitable for video encoding, 3D rendering, and compilation tasks. The single-core score of 3240 is respectable for daily responsiveness and lightly-threaded applications. In older Cinebench versions, the pattern holds: R20 scores are 9639 multi-core and 1360 single-core, while R15 scores are 2313 multi-core and 326 single-core. The average benchmark score across all tests is 6638, placing the CPU at the 62nd percentile of all CPUs.

Compared to its nearest rivals, the i5-13400E is essentially neck-and-neck with the AMD Ryzen Threadripper 2950X, which scores 6647 (a -0.1% delta), and the Intel Core i9-9940X at 6657 (a -0.3% delta). It is slightly ahead of the Intel Core i9-12900E (6611, +0.4% delta) and the Intel Pentium Gold G6405 (6605, +0.5% delta). This positioning shows that despite being a "Core i5" part, its multi-threaded performance rivals older high-end HEDT (High-End Desktop) processors, making it a cost-effective compute engine for parallel workloads. The 65 W TDP is relatively modest for the performance delivered, suggesting power efficiency is a strong point.

FAQ

Q: What is the core and thread count of the Intel Core i5-13400E?

A: The CPU has 10 cores and 16 threads, based on the Raptor Lake architecture.

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

A: The NVIDIA RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, providing 360.0 GB/s of bandwidth.

Q: How does the CPU compare to the AMD Ryzen Threadripper 2950X in average benchmark score?

A: The i5-13400E scores 6638, while the Threadripper 2950X scores 6647, a negligible 0.1% difference.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-13400E has ECC memory support enabled, which is beneficial for workstation reliability.

Q: What is the performance percentile of the GPU among all GPUs?

A: The RTX 4000 Ada Generation sits at the 95th percentile, indicating it outperforms 95% of all GPUs in the database.

Q: What is the recommended PSU wattage for this GPU?

A: The suggested PSU for the NVIDIA RTX 4000 Ada Generation is 300 W.

Q: What are the GPU's rendering API capabilities?

A: The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Benchmark Performance

The benchmark data for this pairing shows a clear division of labor. The CPU's average benchmark score is 6638, putting it at the 62nd percentile of all CPUs. This is a solid mid-to-high range score, indicating that the processor is capable of handling demanding multi-threaded tasks without being a bottleneck for most professional applications. The Cinebench R23 multi-core score of 22950 is particularly strong, suggesting high sustained throughput for rendering and simulation workloads.

The GPU, on the other hand, is a standout performer. Its average benchmark score is 135218, placing it at the 95th percentile of all GPUs. In Geekbench compute tests, it scores 146593 in OpenCL and 123842 in Vulkan. These figures place it in the upper echelon of graphics and compute hardware. The nearest rival, the NVIDIA A10M, scores 135230, a 0.0% delta, suggesting the RTX 4000 Ada Generation is essentially tied with that datacenter-class GPU. It is also slightly ahead of the AMD Radeon PRO W6800 (135396, -0.1% delta) and the AMD Radeon Pro W6800X Duo (135774, -0.4% delta), but slightly behind the AMD Radeon PRO V620 (136472, -0.9% delta).

The combined percentile for the entire system is 79, indicating that this pairing outperforms 79% of all CPU+GPU combinations in the database. It is important to note that no measured FPS data exists for this exact combination; the FACT PACK contains no measured FPS rows. Therefore, all gaming or real-time rendering FPS estimates must be inferred from the raw benchmark scores, which indicate the GPU has exceptional compute throughput but gaming performance should be considered an estimate based on the OpenCL and Vulkan results rather than direct game benchmarks.

Balance and Bottleneck

The balance between the CPU and GPU is skewed heavily toward the GPU. The GPU's 95th percentile ranking is significantly higher than the CPU's 62nd percentile. This means that in workloads that are primarily GPU-bound—such as 3D rendering with ray tracing, GPU-accelerated compute, or large-scale video encoding—the RTX 4000 Ada Generation will be the dominant factor, and the CPU will be sufficient to feed it without being the limiting component. The CPU's multi-threaded score of 22950 in Cinebench R23 suggests it can handle the physics, scene management, and data preparation tasks while the GPU handles the heavy lifting.

However, in CPU-heavy workloads, such as software compilation, complex physics simulations, or single-threaded legacy applications, the CPU's 62nd percentile ranking could become the bottleneck. The single-core score of 3240 in Cinebench R23 is respectable but not class-leading, and in scenarios where the GPU is waiting on CPU instructions, the system's overall throughput may be constrained by the processor. The data suggests that for balanced workloads, the system is not perfectly paired, but the GPU's headroom means that upgrading the CPU in the future would yield benefits without having to change the GPU. The lack of measured FPS data makes it difficult to assess gaming balance precisely, but the GPU's compute scores suggest that at high resolutions, the GPU would remain the limiting factor in most modern games, while at lower resolutions, the CPU might struggle to keep up with the GPU's frame production capabilities.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. The chip, designated AD104, contains 35,800 million transistors on a 294 mm² die, yielding a transistor density of 121.8M per mm². The GPU operates at a base clock of 1500 MHz and a boost clock of 2175 MHz. It has 6144 shading units, 192 texture mapping units, and 64 raster output units, giving it a pixel rate of 139.2 GPixel/s and a texture rate of 417.6 GTexel/s. The FP32 compute performance is rated at 26.73 TFLOPS, with FP16 performance matching at 26.73 TFLOPS (1:1 ratio).

Memory is a key highlight: 20 GB of GDDR6 on a 160-bit bus, running at an effective speed of 18 Gbps, delivering 360.0 GB/s of bandwidth. This large memory pool is critical for massive datasets in AI training, large 3D scenes, and high-resolution textures. The GPU also includes 48 RT cores and 192 tensor cores, which accelerate ray tracing and AI-based workloads such as DLSS and neural rendering. The presence of these cores explains its strong Geekbench OpenCL score of 146593, as it can accelerate a wide variety of compute tasks.

Compared to its rivals, the GPU is in a tight cluster. The NVIDIA A10M (135230) is a direct competitor, and the RTX 4000 Ada Generation's 0.0% delta means they are functionally equivalent in average compute performance. The AMD Radeon PRO W6800 (135396) is 0.1% slower, and the AMD Radeon Pro W6800X Duo (135774) is 0.4% slower. The AMD Radeon PRO V620 (136472) is 0.9% faster. This indicates that the RTX 4000 Ada Generation is competitive with the best workstation GPUs from both NVIDIA and AMD at the time of its release, offering a strong balance of compute power and memory capacity for professional rendering and compute tasks.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the Core 13th Gen series. The i5-13400E uses DDR4 and DDR5 memory in a dual-channel configuration, giving builders flexibility in choosing between cost-effective DDR4 or higher-bandwidth DDR5. The CPU provides PCIe Gen 5 with 16 lanes, which is forward-looking for high-speed NVMe storage and future expansion cards. The GPU connects via PCIe 4.0 x16, which is a mature interface that does not bottleneck the GPU's performance.

The CPU has a 65 W TDP, and the GPU has a 130 W TDP, resulting in a relatively low total system power requirement. The suggested PSU for the GPU is 300 W, which is modest for a workstation GPU and suggests that the system can be built with a reasonably-sized power supply, leaving headroom for additional components. The GPU is single-slot and powered by a single 16-pin connector, making it suitable for compact workstation builds.

A sensible next upgrade path would be to upgrade the CPU to a higher-core-count Raptor Lake part on the same socket, which would increase multi-threaded throughput without requiring a platform change. The GPU's 95th percentile performance means it is unlikely to be the bottleneck in most workloads, so a CPU upgrade would be the primary route to improve overall system performance, especially in CPU-bound tasks. The platform's support for both DDR4 and DDR5 means that memory upgrades can be tailored to the budget and performance needs, and the PCIe Gen 5 lanes on the CPU future-proof the system for next-generation storage devices.

Usage Scenarios

High-refresh gaming: The GPU's 95th percentile ranking suggests it can handle demanding games at high frame rates, but the lack of measured FPS data means estimates must rely on its compute scores. The CPU's single-core score of 3240 in Cinebench R23 is adequate for most gaming titles, but the system is not optimized for this use case.

Streaming: The combination of the CPU's 10 cores and the GPU's NVENC-capable Ada Lovelace architecture provides a robust foundation for streaming. The GPU's tensor cores can handle AI-based encoding enhancements, while the CPU's multi-threaded score of 22950 can manage the encoding workload alongside game rendering.

Video editing: The GPU's 20 GB of VRAM and 360.0 GB/s bandwidth are excellent for handling high-resolution video timelines and effects. The CPU's multi-core performance will accelerate export times, and the combined compute power is well-suited for professional NLEs like Premiere Pro or DaVinci Resolve.

3D rendering: This is the sweet spot for this pairing. The GPU's 26.73 TFLOPS FP32 performance and RT cores make it a rendering powerhouse in GPU-accelerated engines like Blender or V-Ray, while the CPU's Cinebench R23 multi-core score of 22950 handles CPU-based rendering fallbacks and scene preparation.

Software development: The CPU's 16 threads and 20 MB L3 cache are beneficial for compiling large codebases, and the GPU can accelerate parallel workloads like unit testing or data processing. The ECC memory support adds stability for long-running build processes.

Student and office work: This system is overkill for basic office tasks, but the data shows it would handle any student workload with ease. The CPU's single-core score ensures snappy response in everyday applications, and the GPU's massive compute reserve means it will never be a bottleneck for document processing, spreadsheets, or web browsing.

Build Overview

This build pairs the Intel Core i5-13400E with the NVIDIA RTX 4000 Ada Generation in a desktop configuration. The CPU is a 10-core, 16-thread Raptor Lake processor that sits at the 62nd percentile of all CPUs, offering strong multi-threaded performance for its class. The GPU is a workstation-grade Ada Lovelace part with 20 GB of VRAM, scoring at the 95th percentile of all GPUs, making it one of the most powerful graphics cards in the database. The combined system percentile is 79, placing it in the upper tier of all tested configurations. This is a professional-grade workstation pairing, designed for compute-intensive and rendering-heavy workloads rather than casual gaming or general office use. The system's strengths lie in its GPU compute capabilities and substantial memory pool, while the CPU provides a solid, if not exceptional, foundation for feeding the GPU.

Who Should Build It

The primary audience for this build is professionals in the content creation and engineering industries. 3D artists and animators will benefit from the GPU's 95th percentile performance and 20 GB VRAM, which can handle complex scenes and high-resolution textures that would exceed the memory limits of lesser cards. Video editors working with 4K or 8K timelines will find the combination of CPU multi-core power and GPU acceleration ideal for rendering and effects work. Software developers and data scientists will appreciate the CPU's 16 threads for compilation and the GPU's tensor cores for machine learning inference and training. The system is also suitable for small business workstations that require reliable, ECC-capable memory support and the ability to handle CAD, simulation, and visualization tasks. While the CPU is not the top performer in its class, its 62nd percentile ranking is more than sufficient for most professional workloads, and the GPU's headroom ensures that the system will remain capable as software becomes more demanding. This is a build for users who prioritize GPU compute and memory capacity over raw CPU threading, making it a specialized tool for high-end workstation tasks.

Rate My PC: Intel Core i5-13400E + NVIDIA RTX 4000 Ada Generation

Power Build

System Balance Analysis

Intel Core i5-13400E

NVIDIA RTX 4000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

FAQ

Benchmark Performance

Balance and Bottleneck

GPU Analysis

Upgrade Path and Platform

Usage Scenarios

Build Overview

Who Should Build It

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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