SYSTEM ANALYZER

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

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

# CPU Analysis

The Intel Core i5-13400 is a desktop processor built on the Raptor Lake architecture, specifically the Raptor Lake-S codename, marking it as part of Intel's Core 13th Gen lineup. It packs 10 physical cores with 16 threads, a configuration that pairs performance cores with efficient cores to balance throughput and power draw. The base clock sits at 2.50 GHz, while the boost clock reaches 4.60 GHz, providing a substantial frequency headroom for bursty workloads. The chip is manufactured on Intel's 10 nm process node, with a die size of 215 mm², and it carries a 65 W TDP, indicating a power-efficient design suitable for mainstream desktop builds.

Cache hierarchy on this processor is tiered: each core gets 80 KB of L1 cache and 1.25 MB of L2 cache, while the L3 cache is shared at 20 MB across all cores. This cache arrangement supports the hybrid core design, ensuring that frequently accessed data stays close to the execution units. Memory support includes both DDR4 and DDR5, running on a dual-channel memory bus, which gives builders flexibility in choosing between older, more affordable memory and newer, higher-bandwidth modules. The processor does not support ECC memory, which positions it firmly for consumer and prosumer use rather than mission-critical server environments. PCIe connectivity is Gen 5 with 16 lanes available from the CPU, enabling fast attachment for modern GPUs and NVMe storage. An integrated UHD Graphics 730 unit is present, providing basic display output capabilities without a discrete GPU. The CPU uses the Intel Socket 1700, was released on January 3, 2023, and carries a launch MSRP of $221.

Benchmark data reveals a processor that excels in multi-threaded scenarios. The Cinebench R23 multicore score of 15953 and single-core score of 1786 indicate strong sustained performance across all cores, with the single-core result showing healthy per-thread efficiency. Geekbench scores of 12289 multicore and 2112 single-core reinforce this picture. In the 3DMark CPU tests, the scaling from 2 threads (1883) to 8 threads (5592) to 16 threads (7315) shows near-linear improvement, suggesting that the core and thread configuration is well-utilized by threaded workloads. The max threads score of 7310 is nearly identical to the 16-thread score, confirming that the processor's full thread count is effectively engaged. PassMark results further detail the CPU's character: multithread score of 23719, integer math at 77721, floating point math at 58786, and extended instructions at 19161. These numbers point to a processor that handles both integer-heavy code (common in general productivity) and floating-point workloads (relevant to scientific and engineering applications) with competence. The single-thread PassMark score of 3538 is solid, ensuring snappy responsiveness in everyday tasks.

The percentile rank against all CPUs is 76, meaning this processor outperforms roughly three-quarters of the CPUs in the database. Its average benchmark score of 24280 places it in close competition with several rivals: the Intel Core i7-1360P (avg score 24344, delta -0.3%), the AMD Ryzen 5 PRO 6650H (avg score 24364, delta -0.3%), the AMD Ryzen 5 7540U (avg score 24188, delta 0.4%), and the AMD EPYC 9654P (avg score 24465, delta -0.8%). These deltas are all within a fraction of a percent, indicating that the i5-13400 sits in a tightly contested performance band. The presence of a high-end EPYC server chip among its nearest rivals is notable, though the delta is negligible; in practice, the i5-13400 delivers comparable average benchmark output despite being a mainstream desktop part. For real workloads, this means the CPU is well-suited for compiling code, rendering video, and running virtual machines, where the 10-core/16-thread configuration provides ample parallelism without excessive power draw.

# Benchmark Performance

The combined benchmark picture for this Intel Core i5-13400 and NVIDIA RTX 4000 Ada Generation pairing reveals a system that is strongly positioned in the upper echelons of the database. The CPU holds a percentile rank of 76 against all CPUs, while the GPU commands a percentile of 95 against all GPUs. Together, the build achieves a combined percentile of 86, indicating that this pairing outperforms 86% of all recorded system configurations. This is a significant figure, showing that while the CPU is above average, the GPU is the standout component, pulling the overall system ranking higher.

Looking at specific GPU benchmarks, the Geekbench OpenCL score reaches 146593, while the Vulkan score is 123842. The average benchmark score for the GPU is 135218, placing it in the 95th percentile. Its nearest rivals include the NVIDIA A10M (avg score 135230, delta 0%), the AMD Radeon PRO W6800 (avg score 135396, delta -0.1%), the AMD Radeon Pro W6800X Duo (avg score 135774, delta -0.4%), and the AMD Radeon PRO V620 (avg score 136472, delta -0.9%). The deltas here are minimal, with the RTX 4000 Ada Generation essentially trading blows with these professional-grade cards. The fact that it matches the NVIDIA A10M exactly (0% delta) and comes within a fraction of a percent of the AMD workstation cards indicates that it belongs firmly in the professional workstation GPU tier, despite its GeForce 40-series classification.

For the CPU, specific benchmark scores show a processor that scales well with thread count. The Cinebench R20 multicore score of 8526 and single-core of 1203 indicate strong performance for both heavily parallelized tasks and lightly threaded applications. PassMark data compression at 301481 and data encryption at 15880 suggest that the CPU handles data-intensive operations efficiently, which is relevant for database work and file archiving. The find prime numbers score of 74 is notably low, but this is a specialized test that often favors different architectures. The physics score of 1244 and random string sorting of 30851 round out a profile that is consistent with a mid-to-upper-range desktop processor.

The combined picture is one of asymmetric strength: the GPU is in the top 5% of all GPUs, while the CPU is in the top 24% of all CPUs. This means the system is heavily GPU-accelerated, with the graphics card doing the heavy lifting in rendering and compute tasks. For workloads that rely on GPU acceleration—such as 3D rendering, video encoding, and machine learning inference—this system will perform exceptionally well. For CPU-bound tasks like code compilation or spreadsheet analysis, the i5-13400 is competent but not class-leading, as its percentile rank suggests. The overall system percentile of 86 is a fair representation of this balance: it is a high-performance build, but the CPU is the limiting factor in purely CPU-bound scenarios.

# Balance and Bottleneck

Analyzing the balance between the Intel Core i5-13400 and the NVIDIA RTX 4000 Ada Generation reveals a system where the GPU significantly outpaces the CPU in relative performance. The GPU's 95th percentile rank versus the CPU's 76th percentile creates a clear hierarchy: the graphics card is the dominant component in this pairing. In GPU-bound workloads—such as 3D rendering with ray tracing, high-resolution video processing, and AI inference—the RTX 4000 Ada Generation will operate at near-peak efficiency, while the CPU provides enough throughput to feed it without being the primary constraint. The GPU's 26.73 TFLOPS of FP32 performance and 417.6 GTexel/s texture rate are figures that demand a steady stream of data from the CPU, and the i5-13400's 16 threads are sufficient to keep up in most scenarios.

However, in CPU-bound workloads, the bottleneck shifts. Tasks like physics simulations, certain game logic calculations, and single-threaded applications will be limited by the i5-13400's performance ceiling. The CPU's single-thread score of 959 in 3DMark single-thread and 1786 in Cinebench R23 single-core indicate that while it is not slow, it is not in the top tier of single-core performers. In games that are heavily CPU-dependent, this could manifest as lower frame rates in scenes with many AI-driven entities or complex physics interactions, even though the GPU is capable of rendering at much higher rates. The FPS scaling evidence, while not measured for this exact combination, can be inferred from the component percentiles: the GPU can push high frame rates in GPU-bound scenes, but the CPU will cap the maximum frame rate in CPU-bound scenes.

The 65 W TDP of the CPU versus the 130 W TDP of the GPU also highlights the power balance. The CPU is relatively power-efficient, drawing significantly less power than the GPU, which means that in a typical desktop build, the cooling solution for the GPU will need to be more robust. The suggested PSU of 300 W for the GPU alone indicates that the overall system power draw is manageable, but the GPU is clearly the power-hungry component. For workloads that are balanced between CPU and GPU, such as gaming at high resolutions where both components are engaged, the system should perform well, but the CPU will be the first to reach its limit. In summary, the RTX 4000 Ada Generation is the performance leader, and any upgrade path that seeks to improve overall system performance should first consider the CPU as the potential bottleneck in certain applications.

# FAQ

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

A: The combined percentile for the Intel Core i5-13400 and NVIDIA RTX 4000 Ada Generation is 86, meaning it outperforms 86% of all recorded system configurations in the database.

Q: How does the CPU compare to its nearest rivals in average benchmark score?

A: The i5-13400 has an average benchmark score of 24280. It is within 0.4% of the AMD Ryzen 5 7540U (24188), and within -0.3% of the Intel Core i7-1360P (24344) and AMD Ryzen 5 PRO 6650H (24364), and -0.8% of the AMD EPYC 9654P (24465).

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

A: The GPU holds a 95th percentile rank against all GPUs, placing it in the top 5% of graphics cards. Its average benchmark score is 135218, and it is within 0.9% of its nearest rivals, including the NVIDIA A10M and AMD Radeon PRO W6800.

Q: Does this system support DDR4 or DDR5 memory?

A: The CPU supports both DDR4 and DDR5 memory, running on a dual-channel memory bus, giving builders the choice of either memory technology.

Q: What is the GPU's memory configuration?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 360.0 GB/s. The memory clock is 2250 MHz, with an effective speed of 18 Gbps.

Q: Is there integrated graphics available on the CPU?

A: Yes, the Intel Core i5-13400 includes UHD Graphics 730, which provides basic display output capabilities without requiring a discrete GPU.

Q: What PCIe version does the CPU support?

A: The CPU supports PCIe Gen 5 with 16 lanes available from the CPU, enabling high-bandwidth connections for GPUs and NVMe storage devices.

# Gaming Performance

It is important to note that no measured FPS data exists for this exact CPU-GPU combination. The FACT PACK contains no measured FPS rows, so all gaming performance discussion here is estimated qualitatively from the benchmark scores of the individual components, and the figures presented are estimates rather than measured results.

Based on the GPU's 95th percentile rank and the CPU's 76th percentile, gaming performance at high resolutions—where the GPU is the primary driver—should be exceptional. The RTX 4000 Ada Generation's 26.73 TFLOPS of FP32 performance and 139.2 GPixel/s pixel rate suggest that it can handle demanding titles at 1440p and 4K with high detail settings. The 20 GB of GDDR6 memory with 360.0 GB/s bandwidth provides ample capacity for high-resolution textures and large game worlds, reducing the likelihood of stuttering due to memory overflow. The 48 ray tracing cores and 192 tensor cores indicate strong performance in games that utilize ray-traced lighting and DLSS-style upscaling, with the tensor cores accelerating AI-based rendering techniques.

At 1080p resolution, the CPU becomes more relevant, as lower resolutions put less strain on the GPU and more on the processor's ability to feed frames. The i5-13400's single-thread score of 1786 in Cinebench R23 and 959 in 3DMark single-thread indicate that it can handle modern game engines, but it may not sustain the highest frame rates in CPU-intensive titles. In contrast, at 4K resolution, the GPU will be the limiting factor in most scenarios, and the CPU's performance is less critical. Players targeting high-refresh-rate 1080p gaming may find the CPU limits frame rates in certain titles, while players at 1440p or 4K will experience the GPU's full potential. The combined percentile of 86 suggests that this system is well-suited for high-quality gaming, but the exact FPS will vary by title and resolution, with the CPU being the more likely bottleneck at lower resolutions.

# GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, manufactured by TSMC on a 5 nm process node. The chip, designated AD104, contains 35,800 million transistors on a 294 mm² die, resulting in 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, with memory clocked at 2250 MHz for an effective speed of 18 Gbps. This clock configuration delivers substantial compute throughput: 26.73 TFLOPS of FP32 performance and the same 26.73 TFLOPS for FP16, indicating a 1:1 ratio that is beneficial for workloads that mix precision levels.

Memory consists of 20 GB of GDDR6 on a 160-bit bus, yielding a bandwidth of 360.0 GB/s. This memory configuration is notable for its large capacity, which is advantageous for large datasets in rendering and AI workloads. The GPU has 6144 shading units, 192 texture mapping units, and 64 raster output processors. It also includes 48 ray tracing cores and 192 tensor cores, which are dedicated to ray-traced rendering and AI acceleration, respectively. The pixel rate is 139.2 GPixel/s, and the texture rate is 417.6 GTexel/s, indicating strong fill-rate capabilities for high-resolution rendering. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern graphics APIs. It has a TDP of 130 W, is a single-slot card, and requires a single 16-pin power connector, with a suggested PSU of 300 W. Display outputs include 4x DisplayPort 1.4a, and the card connects via PCIe 4.0 x16.

Benchmark results put this GPU in the 95th percentile, with an average score of 135218. Its nearest rivals are all professional workstation cards: the NVIDIA A10M (0% delta), AMD Radeon PRO W6800 (-0.1%), AMD Radeon Pro W6800X Duo (-0.4%), and AMD Radeon PRO V620 (-0.9%). This grouping confirms that the RTX 4000 Ada Generation is a professional-grade card, despite its GeForce 40-series naming. In rendering workloads, the 48 ray tracing cores accelerate ray-traced effects, while the 192 tensor cores speed up denoising and AI-powered features. The 20 GB VRAM is well-suited for large 3D scenes, high-resolution textures, and machine learning models that require substantial memory. The FP32 and FP16 performance figures indicate strong compute capability for scientific simulations and data processing. Overall, this GPU is a high-end solution for professional graphics work, delivering performance that rivals dedicated workstation cards from both NVIDIA and AMD.

# Usage Scenarios

High-refresh gaming: At 1080p and 1440p resolutions, this system can drive high frame rates in most titles, with the GPU's 95th percentile ensuring strong rendering performance. The CPU's 76th percentile may cap frame rates in CPU-intensive games, but for GPU-bound scenarios, the RTX 4000 Ada Generation's 26.73 TFLOPS and 139.2 GPixel/s pixel rate will deliver smooth gameplay. Players targeting 240Hz or 360Hz monitors may encounter CPU limitations in esports titles, but 144Hz monitors should be well-served at 1440p.

Streaming: The GPU's 192 tensor cores and 48 ray tracing cores provide hardware acceleration for video encoding and AI-based enhancements. The 20 GB VRAM offers ample headroom for simultaneous gaming and streaming software, while the CPU's 16 threads can handle encoding offloads if software encoding is preferred. The 65 W TDP of the CPU keeps thermal headroom available for sustained streaming sessions.

Video editing: The GPU's FP32 performance of 26.73 TFLOPS accelerates effects, transitions, and color grading, while the 20 GB VRAM allows for smooth scrubbing through high-resolution timelines. The CPU's Cinebench R23 multicore score of 15953 handles timeline rendering and export tasks efficiently, and the 20 MB L3 cache aids in data-heavy editing workflows.

3D rendering: The RTX 4000 Ada Generation's ray tracing cores and 26.73 TFLOPS FP32 performance make it well-suited for ray-traced renders in applications like Blender or Cinema 4D. The 20 GB VRAM accommodates large scenes, while the CPU's 10 cores and 16 threads handle geometry processing and simulation tasks. The GPU's 95th percentile ensures render times are competitive with professional workstation cards.

Software development: The i5-13400's 16 threads and PassMark integer math score of 77721 support fast code compilation, with the 20 MB L3 cache reducing memory latency for frequently accessed code. The GPU is less critical in this scenario, but its compute capabilities can accelerate parallel tasks like unit testing or data processing. The DDR4/DDR5 memory support allows builders to choose memory that fits their budget and performance needs.

Student and office work: The CPU's single-thread PassMark score of 3538 ensures responsive application launches and smooth multitasking, while the 10 cores handle background tasks efficiently. The UHD Graphics 730 integrated GPU provides a fallback for basic display output if the discrete GPU is not needed, although the RTX 4000 Ada Generation will be the primary graphics solution. The 65 W TDP keeps power consumption low for all-day use in a dorm room or office.

# Build Overview

This build pairs the Intel Core i5-13400, a 10-core/16-thread desktop processor from Intel's Raptor Lake generation, with the NVIDIA RTX 4000 Ada Generation, a workstation-class GPU based on the Ada Lovelace architecture. The build class is desktop, indicating a traditional tower or SFF form factor. The CPU, with a 65 W TDP and 16 PCIe Gen 5 lanes, provides a solid foundation for a mainstream desktop system. The GPU, with a 130 W TDP and a suggested 300 W PSU, is a higher-power component that demands adequate cooling and power delivery.

The overall tier of this build, as indicated by the combined percentile of 86, places it in the upper tier of desktop systems. The GPU's 95th percentile is the standout feature, making this a GPU-dominant build that excels in graphics-intensive tasks. The CPU's 76th percentile is respectable but not top-tier, meaning the system is best suited for workloads that leverage GPU acceleration rather than purely CPU-bound tasks. This is a professional-grade pairing: the GPU is comparable to workstation cards like the NVIDIA A10M and AMD Radeon PRO W6800, while the CPU provides enough compute to support these workloads without being a bottleneck in most scenarios. For users seeking a desktop system that handles 3D rendering, video processing, and high-end gaming with ease, this pairing offers a compelling combination of GPU power and CPU efficiency.

# Who Should Build It

This build is ideal for gamers targeting 1440p or 4K resolution with high detail settings. The GPU's 95th percentile and 20 GB VRAM ensure that modern titles run smoothly at these resolutions, with ample memory for high-resolution textures and future game releases. The CPU's 76th percentile is sufficient for these workloads, as the GPU is the primary driver at higher resolutions. Gamers at 1080p may find the CPU limits frame rates in CPU-intensive titles, so this build is better suited for those prioritizing visual fidelity over maximum frame rates.

Content creators, particularly those working in 3D rendering, video editing, and visual effects, will benefit from this system. The GPU's ray tracing cores and 26.73 TFLOPS FP32 performance accelerate render times, while the 20 GB VRAM handles large scenes and projects. The CPU's 16 threads support multitasking, such as rendering in the background while continuing to edit or design. The GPU's tensor cores also enable AI-assisted workflows, such as denoising renders or upscaling video, making this a powerful tool for professional content production.

Software developers will find the CPU's 16 threads and strong integer performance useful for compiling large codebases, while the GPU can be leveraged for GPU-accelerated computing tasks, such as machine learning model training or data processing. The 20 GB VRAM allows for loading large datasets into GPU memory, and the tensor cores accelerate matrix operations common in AI frameworks. Students and small business workstations will also benefit, though the GPU is overkill for basic office tasks. For those in engineering or scientific fields, the FP32 performance and 20 GB VRAM make this a capable workstation for simulations and data analysis. Overall, this build targets users who need professional-grade GPU performance paired with a capable, power-efficient CPU.

# Upgrade Path and Platform

The Intel Core i5-13400 uses the Intel Socket 1700, which supports 13th Gen Core processors. The platform supports both DDR4 and DDR5 memory on a dual-channel bus, giving builders flexibility in memory choice. PCIe connectivity is Gen 5 with 16 lanes from the CPU, which is forward-compatible with the latest GPUs and NVMe storage devices. The CPU has a 65 W TDP, and while it is not multiplier-unlocked, it offers solid performance at stock settings. The integrated UHD Graphics 730 provides a fallback display output, though it is not suitable for demanding graphics workloads.

The GPU, with a 130 W TDP and a suggested PSU of 300 W, leaves ample headroom in a typical desktop power supply. The system's overall power draw is modest, meaning that a 500 W to 600 W PSU would be sufficient for this build, with the 300 W suggested PSU for the GPU being a conservative estimate. The GPU uses a single 16-pin power connector, which is compatible with modern power supplies. The slot width is single-slot, and the dimensions of 245 mm in length and 112 mm in height make it compatible with most desktop cases, including smaller form factors.

A sensible next upgrade for this system would be to focus on the CPU, as it is the lower-performing component in the pairing. Upgrading to a higher-core-count 13th Gen processor on the same socket would provide more threads for CPU-bound workloads, such as video encoding or software compilation, without requiring a motherboard change. Alternatively, increasing memory to a higher-capacity DDR5 kit would improve performance in memory-sensitive applications. The GPU is already at the 95th percentile, so a GPU upgrade would yield diminishing returns unless moving to a top-tier workstation card, which would likely require a larger PSU and additional cooling. The platform's support for PCIe Gen 5 ensures that future storage and expansion cards will be compatible, making this a solid foundation for incremental upgrades.