SYSTEM ANALYZER

Rate My PC: Intel Core i5-13400E + NVIDIA RTX 4000 SFF 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)

▼

GRAPHICS CARD (GPU)

▼

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 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 i5-13400E and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that targets a specific niche: high-efficiency workstation performance in a compact form factor. The CPU, a Raptor Lake-S part on the 10 nm Intel process, offers 10 cores and 16 threads, with a base clock of 2.40 GHz and a boost clock of 4.60 GHz. This configuration, combined with a 20 MB shared L3 cache and per-core L2 and L1 caches of 1.25 MB and 80 KB respectively, positions the processor as a strong multi-threaded contender. The data shows a Cinebench R23 multi-core score of 22950, which places it in the 62nd percentile of all CPUs, indicating solid performance for productivity tasks that leverage all cores. The single-core score of 3240 in the same test reinforces its capability in lightly-threaded workloads, making it a balanced processor for mixed-use scenarios. The architecture supports both DDR4 and DDR5 memory through a dual-channel interface, and includes ECC memory support, a feature that appeals to workstation users prioritizing data integrity. The integrated UHD Graphics 730 provides a basic display output, though the presence of the discrete GPU makes it secondary for rendering tasks.

The benchmark results for the CPU paint a picture of a processor that competes with older high-end desktop parts. Its average benchmark score of 6638 is nearly identical to the AMD Ryzen Threadripper 2950X, which scores 6647, a delta of -0.1 percent. Similarly, it trails the Intel Core i9-9940X by just 0.3 percent (6657 average score) and leads the Intel Core i9-12900E by 0.4 percent (6611 average score). These margins are negligible in real-world use, suggesting the 13400E delivers a similar level of overall compute performance to those predecessors. The most notable comparison is against the Intel Pentium Gold G6405, which shows a 0.5 percent delta; however, this is an artifact of the average scoring methodology and does not reflect the 13400E’s superiority in multi-threaded tasks. For rendering, the Cinebench R20 multi-core score of 9639 and R15 score of 2313 indicate that the processor can handle video encoding, 3D scene compilation, and software compilation with reasonable efficiency, though it is not a top-tier HEDT part given its 62nd percentile standing.

Benchmark Performance

The combined performance picture for this CPU+GPU pairing is strong. The build achieves a combined percentile of 79, which places it in the upper quintile of all desktop configurations. This is driven largely by the GPU, which sits in the 95th percentile of all GPUs, while the CPU rests in the 62nd percentile. The disparity in percentiles suggests that the GPU is the primary driver of overall system capability, especially in graphics-intensive workloads. The CPU’s average benchmark score of 6638 is modest compared to the GPU’s average score of 117088, which is over 17 times higher. This indicates a system where the graphics card will often be the limiting factor in frame generation, but the CPU is sufficiently capable to avoid severe bottlenecks in most productivity applications.

The GPU’s benchmark scores are substantial. In Geekbench OpenCL, it scores 124812, and in Vulkan, it scores 109364. These numbers place it ahead of several high-end rivals. The nearest competitor is the NVIDIA GB10, which scores 117393, a delta of -0.3 percent, meaning the RTX 4000 SFF Ada is effectively on par with that part. It trails the AMD Radeon PRO W7700 by 1.6 percent (118976 score) but leads the NVIDIA Tesla V100 SXM2 16 GB by 2.4 percent (114395 score) and the NVIDIA RTX A5500 Mobile by 2.8 percent (113944 score). Given that the RTX 4000 SFF Ada is a low-profile, 70 W card, its ability to match or exceed these larger, higher-power parts confirms the efficiency of the Ada Lovelace architecture. The data shows a clear picture: this GPU delivers workstation-class compute performance without the typical power and size requirements.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is built on the AD104 chip using TSMC’s 5 nm process, packing 35,800 million transistors into a 294 mm² die. This density of 121.8 million transistors per square millimeter enables a high level of performance within a 70 W TDP. The GPU features 6144 shading units, 192 texture mapping units, and 64 raster operation pipelines. It also includes 48 RT cores and 192 tensor cores, which are essential for ray tracing and AI-accelerated workloads. The memory subsystem consists of 20 GB of GDDR6 on a 160-bit bus, providing 280.0 GB/s of bandwidth. This is ample for large datasets and high-resolution textures, though the bus width is narrower than some competing workstation cards. The core clocks are a base of 720 MHz and a boost of 1560 MHz, with memory running at 1750 MHz (14 Gbps effective). These clocks are modest, but the architecture’s efficiency compensates, resulting in 19.17 TFLOPS of FP32 and FP16 performance (1:1 ratio).

In terms of rendering capabilities, the GPU’s pixel rate is 99.84 GPixel/s and its texture rate is 299.5 GTexel/s. These figures support smooth viewport interaction and texture-heavy scene rendering. The Geekbench OpenCL score of 124812 indicates strong general-purpose compute performance, which is often used in rendering engines for tasks like denoising and physics simulations. The Vulkan score of 109364 suggests solid performance in graphics APIs that are increasingly used in professional visualization tools. The 20 GB VRAM is a key advantage, allowing the card to handle large 3D scenes and machine learning models that would exceed the memory capacity of smaller cards. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern software. The display outputs are four mini-DisplayPort 1.4a connectors, which is typical for workstation cards. The dual-slot design and 168 mm length (6.6 inches) make it suitable for small form factor builds, and it draws power solely from the PCIe slot, requiring no external power connectors. The suggested PSU is 250 W, which is remarkably low and allows for a compact power supply. With a 95th percentile rank among all GPUs, this card is a top-tier performer in its class, rivaling much larger and more power-hungry options like the AMD Radeon PRO W7700 and NVIDIA Tesla V100 SXM2 16 GB.

FAQ

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

A: The Intel Core i5-13400E has 10 cores and 16 threads, with a base clock of 2.40 GHz and a boost clock of 4.60 GHz.

Q: How much VRAM does the RTX 4000 SFF Ada Generation have, and what is its memory bandwidth?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus, yielding a bandwidth of 280.0 GB/s.

Q: What is the combined performance percentile of this CPU+GPU build?

A: The combined percentile is 79, placing it in the upper tier of desktop configurations.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-13400E supports ECC memory, which is a critical feature for workstation stability and data integrity.

Q: What is the power consumption of the GPU, and what PSU is suggested?

A: The GPU has a TDP of 70 W, and the suggested PSU is 250 W, making it suitable for compact builds with low power budgets.

Q: How does the GPU compare to the NVIDIA GB10 in benchmark scores?

A: The RTX 4000 SFF Ada Generation has an average benchmark score of 117088, which is 0.3 percent lower than the NVIDIA GB10’s score of 117393, indicating near-identical performance.

Q: What is the CPU’s L3 cache size?

A: The CPU has a shared L3 cache of 20 MB, alongside per-core L2 and L1 caches of 1.25 MB and 80 KB, respectively.

Gaming Performance

The FACT PACK shows no measured FPS data for this exact CPU+GPU combination. Therefore, all FPS figures are estimates based on the benchmark scores and should be treated as approximations. The GPU’s 95th percentile rank and its benchmark scores, which rival the NVIDIA GB10 and AMD Radeon PRO W7700, suggest strong rasterization performance. However, this is a workstation-oriented card with a 160-bit memory bus and 70 W power envelope, which may limit performance in high-resolution gaming compared to dedicated gaming GPUs with similar benchmark scores.

In 1080p gaming, the CPU’s single-core score of 3240 in Cinebench R23 is sufficient to drive high frame rates in most titles, and the GPU’s 19.17 TFLOPS of compute power should handle modern games at high settings. Estimated frame rates for esports titles like CS or Valorant could exceed 144 FPS, while AAA games might hover around 60-90 FPS at high presets. At 1440p, the GPU’s 280.0 GB/s bandwidth becomes a potential limitation, as it may struggle with very high texture loads, but the 20 GB VRAM prevents memory capacity issues. Estimated performance suggests 60-80 FPS in most AAA games at high settings, with some slower in the most demanding titles. At 4K, the narrow memory bus and 70 W power limit are more pronounced, and estimates suggest 30-50 FPS in AAA games, making it playable but not ideal for high-refresh-rate 4K gaming. The lack of measured data means these figures are speculative; the benchmark scores indicate a card that is more optimized for compute and professional rendering than for pure gaming frame rates.

Who Should Build It

This build is tailored for professionals who need workstation-grade compute in a small, energy-efficient package. The RTX 4000 SFF Ada Generation’s 20 GB VRAM and 192 tensor cores make it an excellent choice for content creators working with large 3D scenes, video editing timelines, or AI model training. The 95th percentile GPU performance ensures that tasks like GPU-accelerated rendering in Blender or Octane will be swift, and the 280.0 GB/s bandwidth is sufficient for 4K video editing. The CPU, with its 10 cores and 16 threads, provides ample multi-threading for compiling code, running virtual machines, or handling complex spreadsheets, making it suitable for developers and small business workstations.

The low power draw of the GPU (70 W) and the modest 65 W TDP of the CPU mean the system can be built with a small form factor PSU and case, making it ideal for space-constrained environments. The ECC memory support on the CPU adds a layer of reliability for financial modeling or scientific computing, where data corruption is unacceptable. For students in engineering or computer science fields, this build offers a balance of CPU and GPU power that can handle coursework, simulations, and light rendering without breaking a power budget. The GPU’s four mini-DisplayPort 1.4a outputs support multi-monitor setups, which is beneficial for financial traders or data analysts who require extensive screen real estate. It is not a budget gaming rig, but for users whose primary workload is professional software, the performance is well-matched.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the Core 13th Gen series. The CPU uses DDR4 or DDR5 memory in a dual-channel configuration, offering flexibility in choosing memory based on budget and performance needs. The CPU provides PCIe Gen 5 with 16 lanes, which is forward-looking and can accommodate the fastest NVMe SSDs or future expansion cards. The GPU uses a PCIe 4.0 x16 interface, which is fully compatible with the CPU’s PCIe Gen 5 slots, ensuring no bandwidth bottleneck. The suggested PSU of 250 W for the GPU, combined with the CPU’s 65 W TDP, means a 400-500 W PSU would provide ample headroom for the entire system, including drives and fans.

A sensible next upgrade would be to increase memory capacity or speed, as the dual-channel DDR5 support can improve performance in memory-sensitive applications. For storage, adding a PCIe Gen 5 NVMe drive would leverage the CPU’s high-speed lanes. On the GPU side, the upgrade path is less straightforward because the RTX 4000 SFF Ada Generation is already in the 95th percentile, and its low-profile, low-power design is unique; a future upgrade would likely require a larger chassis to accommodate a higher-TDP card. The CPU can be upgraded to a higher-tier Raptor Lake part on the same socket, but the 13400E’s 62nd percentile performance is already adequate for most workloads, so the benefit may be marginal. The platform’s ECC memory support is a notable feature that should be preserved in any upgrade.

Build Overview

This is a desktop-class build that pairs a mainstream 10-core Intel processor with a high-end, low-profile NVIDIA workstation GPU. The CPU is a Raptor Lake part with a 65 W TDP, designed for efficient multi-threaded performance, while the GPU is an Ada Lovelace workstation card with a 70 W TDP, optimized for compute and professional graphics. The combined percentile of 79 places this build in the upper echelon of desktop systems, outperforming the vast majority of consumer PCs in graphics-intensive tasks. The GPU’s 95th percentile rank is the standout feature, indicating that it is among the top 5 percent of all GPUs in benchmark performance, while the CPU’s 62nd percentile is solidly mid-to-upper range.

In terms of tier, this is a professional workstation build rather than a gaming rig. The GPU’s 20 GB VRAM and 192 tensor cores are tailored for AI, rendering, and scientific computing, and its 70 W power draw allows for a compact, quiet system. The CPU’s 10 cores and 16 threads are well-suited for productivity, but the 62nd percentile suggests it is not a top-tier enthusiast part. The pairing is logical: the GPU provides exceptional compute power, while the CPU offers sufficient throughput to avoid major bottlenecks in most professional applications. The build class is desktop, and the overall tier is high-end professional, with a strong emphasis on efficiency and small form factor compatibility.

Balance and Bottleneck

The performance balance between the CPU and GPU is skewed heavily toward the GPU. The GPU’s average benchmark score of 117088 is over 17 times higher than the CPU’s 6638, and the GPU’s 95th percentile rank versus the CPU’s 62nd percentile confirms this disparity. In workloads that are purely GPU-bound, such as 3D rendering with ray tracing or AI model inference, the GPU will be the primary driver, and the CPU will rarely be a limiting factor. The CPU’s 10 cores and 16 threads are sufficient to feed the GPU’s 6144 shading units and 192 tensor cores in most scenarios, especially given the GPU’s moderate 1560 MHz boost clock.

However, in CPU-bound workloads, such as physics simulations, single-threaded game logic, or compilation tasks, the CPU will be the bottleneck. The 13400E’s single-core score of 3240 in Cinebench R23 is respectable, but it is not a top-tier part, and its 62nd percentile ranking indicates that faster CPUs exist. In gaming, the lack of measured FPS data makes precise bottleneck analysis difficult, but the estimated performance suggests that at 1080p, the CPU may limit frame rates in CPU-intensive titles, while at 4K, the GPU’s memory bandwidth will likely cap performance. The combined percentile of 79 indicates that the system is well-balanced for its intended professional use, with the GPU leading compute tasks and the CPU providing adequate support. The data shows that for this pairing, the GPU is the star, and the CPU is a capable supporting actor that will occasionally take the lead in specific workloads.

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

Power Build

System Balance Analysis

Intel Core i5-13400E

NVIDIA RTX 4000 SFF 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

Benchmark Performance

GPU Analysis

FAQ

Gaming Performance

Who Should Build It

Upgrade Path and Platform

Build Overview

Balance and Bottleneck

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

Related Processors

Related Graphics Cards

Compare Your CPU

Compare Your GPU

Related PC Builds

Same CPU with Different GPUs

Same GPU with Different CPUs

Other Popular Builds