SYSTEM ANALYZER

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

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

92 / 100
ULTIMATE READY

Apex Performer

Top 8% 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
86%
VS
GPU
99%
PROCESSOR

Intel Core i5-13400

24,280 Benchmark Score
Top 14% 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

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 i5-13400 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 Intel Socket 1700 platform, brings 10 cores and 16 threads with a base clock of 2.50 GHz and a boost clock of 4.60 GHz. The GPU, built on the Ada Lovelace architecture with the AD104 chip, is a workstation-class card with 20 GB of GDDR6 memory on a 160-bit bus. This combination sits at the 86th percentile across all CPU+GPU pairings in the database, indicating a system that outperforms the vast majority of configurations. The data shows a processor that is strong in multi-threaded throughput and a graphics card that excels in compute-heavy tasks, making this a build defined by professional productivity rather than raw gaming dominance.

CPU Analysis

The Intel Core i5-13400 is built on the Raptor Lake architecture using a 10 nm process from Intel, with a die size of 215 mm². It features a hybrid configuration of 10 cores and 16 threads, which translates to a mix of performance and efficiency cores that the benchmark data confirms delivers strong parallel processing. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 20 MB L3 cache, providing ample on-die storage for active workloads. The CPU supports dual-channel DDR4 and DDR5 memory, and its PCIe implementation offers Gen 5 with 16 lanes from the CPU, ensuring high bandwidth for modern storage and expansion cards.

Benchmark results for the i5-13400 demonstrate its capability across various threading levels. In the 3DMark suite, the processor scores 7,315 with 16 threads and 7,310 with max threads, showing near-linear scaling when all cores are engaged. The single-thread score of 959 in 3DMark, coupled with a Geekbench single-core score of 2,112, indicates solid per-core performance for everyday tasks. The multi-core picture is more impressive: Geekbench multicore reaches 12,289, and Cinebench R23 multicore hits 15,953, while the single-core R23 score is 1,786. These figures point to a CPU that handles heavy multi-threaded workloads like video rendering or code compilation with ease, while still offering respectable single-thread responsiveness for application navigation and scripting.

The processor’s average benchmark score of 24,280 places it at the 76th percentile among all CPUs, meaning it outperforms roughly three-quarters of processors in the database. Its nearest rivals highlight its position: it is 0.3% behind the Intel Core i7-1360P and AMD Ryzen 5 PRO 6650H, 0.4% ahead of the AMD Ryzen 5 7540U, and 0.8% behind the AMD EPYC 9654P. This clustering suggests that the i5-13400 sits in a performance tier where minor architectural differences between competitors yield negligible real-world deltas. In practical terms, the CPU’s PassMark multithread score of 23,719 and integer math score of 77,721 reinforce that it is well-suited for software development, data processing, and office productivity, where multiple cores translate directly to faster task completion. The integrated UHD Graphics 730 provides basic display output, but the presence of a discrete GPU makes it secondary for this build.

Benchmark Performance

The combined CPU and GPU benchmark scores paint a clear picture of a system with substantial compute power. The CPU’s average benchmark score of 24,280 and the GPU’s average benchmark score of 117,088 contribute to a combined percentile of 86, indicating this pairing outperforms 86% of all configurations in the database. The GPU’s Geekbench scores are particularly telling: an OpenCL score of 124,812 and a Vulkan score of 109,364. These numbers demonstrate that the RTX 4000 SFF Ada Generation is a compute monster, capable of handling parallel workloads like 3D rendering, scientific simulation, and AI inference with high efficiency.

The GPU sits at the 95th percentile among all GPUs, placing it in the top 5% of graphics cards globally. Its nearest rivals show tight competition: it is 0.3% behind the NVIDIA GB10, 1.6% behind the AMD Radeon PRO W7700, 2.4% ahead of the NVIDIA Tesla V100 SXM2 16 GB, and 2.8% ahead of the NVIDIA RTX A5500 Mobile. This positioning means that for professionals moving from older workstation GPUs like the Tesla V100, the RTX 4000 SFF offers a measurable performance uplift in compute tasks. For the CPU, the Cinebench R20 multicore score of 8,526 and PassMark physics score of 1,244 indicate that the processor can feed the GPU effectively, avoiding significant bottlenecks in most workloads. The combined picture is a system that excels in GPU-accelerated tasks, where the 20 GB VRAM and high compute throughput allow for large datasets and complex scenes, while the CPU ensures smooth data marshaling and system responsiveness.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact CPU+GPU combination, so all frame rate discussion here is estimated from the benchmark scores rather than empirical testing. The data shows the GPU’s Geekbench Vulkan score of 109,364 is exceptionally high, which typically translates to strong DirectX 12 and Vulkan gaming performance. However, the RTX 4000 SFF Ada Generation is a workstation-class card, and its driver optimizations and power profile are geared toward compute stability rather than raw gaming frame rates. The CPU’s single-thread score of 959 in 3DMark and 1,786 in Cinebench R23 suggest it can keep up with modern game engines, but the GPU’s 70 W TDP and 720 MHz base clock indicate a design that prioritizes efficiency over peak gaming clocks.

Given these factors, users can expect playable frame rates at 1080p in most titles, with the 20 GB VRAM providing ample headroom for high-resolution textures. At 1440p, frame rates will likely be moderate, with the GPU’s 19.17 TFLOPS FP32 performance offering enough raw power for many games, but the lower boost clock of 1560 MHz compared to consumer gaming cards may limit performance in titles that rely heavily on raw clock speed. At 4K, the system would struggle to maintain high refresh rates in demanding games, but it could handle less intensive titles or older games with reduced settings. The absence of measured FPS data means these are estimates based on the GPU’s compute scores, which are excellent for professional workloads but do not directly correlate to gaming frame rates due to differences in architecture tuning and driver paths.

Balance and Bottleneck

The balance between the Intel Core i5-13400 and the RTX 4000 SFF Ada Generation is tilted toward the GPU, which is typical for a workstation build. The CPU’s 76th percentile ranking and the GPU’s 95th percentile ranking indicate a significant disparity in relative performance. In GPU-bound workloads like 3D rendering, ray tracing, or machine learning training, the GPU will be the limiting factor, as the CPU has ample headroom to feed data to the graphics card. The CPU’s PassMark multithread score of 23,719 and the GPU’s Geekbench OpenCL score of 124,812 suggest that in parallel compute tasks, the GPU will finish its portion of the work faster than the CPU can prepare the next batch, making the CPU a potential bottleneck in highly iterative workloads.

Conversely, in CPU-bound scenarios like software compilation or single-threaded application logic, the GPU will remain largely idle, and the CPU’s performance will dictate system speed. The CPU’s single-thread scores are strong, but its percentile ranking shows it is not a top-tier processor, so in tasks like spreadsheet calculations or light scripting, the system may feel less responsive than one with a higher-ranked CPU. The FPS scaling evidence is absent due to no measured data, but the benchmark scores imply that in gaming, the GPU will be the primary limiter at higher resolutions, while at lower resolutions, the CPU’s single-thread performance could become a factor. For professional workloads, the balance is appropriate, as the GPU is the workhorse, and the CPU provides sufficient support without being a severe constraint.

FAQ

Q: What is the CPU’s core and thread count?

A: The Intel Core i5-13400 has 10 cores and 16 threads, with a base clock of 2.50 GHz and a boost clock of 4.60 GHz.

Q: How does the GPU’s memory configuration affect performance?

A: The RTX 4000 SFF Ada Generation features 20 GB of GDDR6 memory on a 160-bit bus, yielding a bandwidth of 280.0 GB/s, which is sufficient for large datasets and high-resolution textures in workstation applications.

Q: What is the GPU’s percentile ranking and what does it mean?

A: The GPU is at the 95th percentile among all GPUs, meaning it outperforms 95% of graphics cards in the database, placing it in the top tier for compute performance.

Q: Is this system suitable for gaming?

A: The data shows no measured FPS, but the GPU’s high compute scores suggest it can handle 1080p gaming, though its workstation design and lower boost clock of 1560 MHz may limit high-refresh-rate performance compared to consumer gaming cards.

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

A: The CPU+GPU pairing is at the 86th combined percentile, indicating it outperforms 86% of all configurations in the database.

Q: Does the CPU support overclocking?

A: No, the multiplier is locked, as indicated by the `multiplierUnlocked` field being false, so users cannot manually adjust clock speeds.

Q: What are the CPU’s nearest rivals?

A: The CPU is 0.3% behind the Intel Core i7-1360P, 0.3% behind the AMD Ryzen 5 PRO 6650H, 0.4% ahead of the AMD Ryzen 5 7540U, and 0.8% behind the AMD EPYC 9654P.

Usage Scenarios

High-refresh gaming: This build is not optimized for this scenario. The GPU’s 70 W TDP and 1560 MHz boost clock, combined with a lack of measured FPS data, suggest it would deliver moderate frame rates at 1080p but struggle to hit high refresh rates in demanding titles. The CPU’s single-thread score of 959 in 3DMark is adequate but not exceptional, making this a poor choice for competitive gaming.

Streaming: The CPU’s 10 cores and 16 threads provide enough parallelism for encoding while gaming, but the GPU’s compute-focused design means it may not offer the same hardware encoding efficiency as consumer cards. The data shows strong multi-threaded scores like Cinebench R23 multicore of 15,953, which supports software encoding, but the lack of gaming-specific performance metrics makes this a secondary use case.

Video editing: This is a strong scenario. The GPU’s Geekbench OpenCL score of 124,812 and 20 GB VRAM allow for smooth timeline scrubbing and effect rendering in applications like Premiere Pro or DaVinci Resolve. The CPU’s PassMark floating point math score of 58,786 aids in codec processing, making this build a capable video editing workstation.

3D rendering: The GPU excels here, with its 95th percentile ranking and 19.17 TFLOPS FP32 performance. The 48 RT cores and 192 tensor cores accelerate ray tracing and AI denoising, while the CPU’s 16 threads handle scene preparation. This is the primary use case for this build.

Software development: The CPU’s PassMark integer math score of 77,721 and data encryption score of 15,880 indicate strong performance in code compilation and cryptographic operations. The 20 MB L3 cache reduces latency for frequently accessed data, making this a productive environment for developers.

Student and office work: This build is overkill for this scenario, but the CPU’s single-thread performance and the GPU’s compute power ensure that any office task runs smoothly. The 65 W TDP of the CPU and 70 W TDP of the GPU keep power consumption low, which is beneficial for long work sessions, though the cost and size of the GPU are unnecessary for basic productivity.

Who Should Build It

This build targets professionals in industries that demand GPU compute power without the space or power budget for full-sized workstation cards. The RTX 4000 SFF Ada Generation’s 20 GB VRAM and 280.0 GB/s bandwidth are ideal for data scientists working with large datasets, engineers running simulations, and video editors handling 4K or 8K footage. The CPU’s 76th percentile ranking ensures that these professionals will not be held back by the processor in most tasks, and the 86th combined percentile confirms the system’s overall capability. Gamers at 1080p could use this system, but the lack of measured FPS data and the GPU’s workstation orientation make it a poor choice for those seeking high-refresh-rate experiences. Content creators, particularly those using GPU-accelerated renderers, will find this build well-suited. Software developers and small business workstation users who run parallel workloads will also benefit, though students and office workers would find the performance excessive for their needs.

Build Overview

This is a desktop build class system featuring the Intel Core i5-13400 and the NVIDIA RTX 4000 SFF Ada Generation. The CPU is a Raptor Lake-S processor with 10 cores and 16 threads, while the GPU is a workstation-class Ada Lovelace card with 20 GB of VRAM. The combined percentile of 86 places this pairing in the upper echelon of all configurations, indicating a high-performance system. The GPU’s 95th percentile ranking is the standout feature, making this build a compute-centric machine that prioritizes professional workloads over gaming. The CPU’s 76th percentile provides solid support, ensuring that the system is balanced enough for a variety of tasks. Overall, this is a high-tier desktop workstation that excels in GPU-accelerated applications, with the CPU serving as a competent partner that does not significantly bottleneck the GPU.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is built on the Ada Lovelace architecture using a 5 nm process from TSMC, with a chip size of 294 mm² and 35,800 million transistors. It features 6,144 shading units, 192 texture mapping units, and 64 raster output units, along with 48 RT cores and 192 tensor cores. The memory subsystem consists of 20 GB of GDDR6 on a 160-bit bus, delivering a bandwidth of 280.0 GB/s, which is ample for large frame buffers and professional datasets. The GPU’s base clock is 720 MHz with a boost clock of 1560 MHz, and its FP32 performance is rated at 19.17 TFLOPS, with FP16 achieving the same rate due to a 1:1 ratio. This compute capability is reflected in the Geekbench OpenCL score of 124,812, which places the GPU at the 95th percentile among all graphics cards.

The 48 RT cores and 192 tensor cores are the key differentiators for this card, enabling hardware-accelerated ray tracing and AI-based features like DLSS and denoising. The GPU’s 19.17 TFLOPS FP32 performance is a strong indicator of its ability to handle scientific computing, rendering, and machine learning inference. The texture rate of 299.5 GTexel/s and pixel rate of 99.84 GPixel/s further underscore its capability in graphics-intensive tasks. For rendering workloads, the data shows that this GPU is a top-tier performer, with its nearest rival being the AMD Radeon PRO W7700, which is 1.6% faster. The GPU’s 70 W TDP is remarkably low for its performance class, making it an efficient choice for compact workstations where power and thermal constraints are critical.

Upgrade Path and Platform

The Intel Core i5-13400 uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in a dual-channel configuration. This provides flexibility for users to choose between cost-effective DDR4 or higher-bandwidth DDR5, depending on their needs. The CPU’s PCIe implementation offers Gen 5 with 16 lanes from the CPU, ensuring compatibility with the latest NVMe SSDs and expansion cards. The GPU, however, uses a PCIe 4.0 x16 interface, which is fully backward compatible with the CPU’s Gen 5 slot, so there is no communication bottleneck between the two components.

The GPU’s suggested PSU requirement is 250 W, and its TDP is 70 W, which is exceptionally low for a card with 20 GB of VRAM. The CPU’s TDP is 65 W, meaning the total system power draw is modest, allowing for a compact power supply that fits in small form factor cases. The GPU is dual-slot and measures 168 mm in length and 69 mm in height, with no power connectors required, as it draws power directly from the PCIe slot. This makes it ideal for space-constrained builds. A sensible next upgrade would be to increase system memory to maximize the CPU’s dual-channel bandwidth, particularly for memory-heavy workloads. The platform’s support for DDR5 allows users to eventually transition to faster memory modules without changing the motherboard. For the GPU, the successor is listed as Blackwell PRO W, indicating that NVIDIA’s next generation will offer improved performance, but the current RTX 4000 SFF’s 95th percentile ranking means it will remain relevant for several years.