SYSTEM ANALYZER

Rate My PC: Intel Core i5-13600 + NVIDIA RTX 5000 Ada Generation

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

96 / 100
ULTIMATE READY

Apex Performer

Top 4% 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
93%
VS
GPU
99%
PROCESSOR

Intel Core i5-13600

44,240 Benchmark Score
Top 7% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 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 i5-13600 and NVIDIA RTX 5000 Ada Generation represent a pairing of a high-end desktop consumer processor with a professional workstation graphics card. This combination targets a specific niche where CPU efficiency and GPU compute power intersect, though it presents a notable imbalance for gaming workloads. The data indicates that while the CPU is a strong performer in its own right, the GPU is an absolute powerhouse designed for professional rendering and AI tasks, making this build a specialized tool rather than a general-purpose gaming machine.

FAQ

Q: What are the core specifications of the Intel Core i5-13600?

A: The processor features 14 cores and 20 threads, combining performance and efficiency cores. It has a base clock of 2.70 GHz and a boost clock of 5.00 GHz, with a 65 W TDP and support for both DDR4 and DDR5 memory.

Q: How does the RTX 5000 Ada Generation compare to its closest rivals in benchmark scores?

A: The GPU’s average benchmark score is 184,664, placing it slightly ahead of the NVIDIA A100 SXM4 80 GB by 0.5% and the RTX PRO 5000 Blackwell by 1.4%. It trails the A100 SXM4 40 GB by 1.3% and leads the GeForce RTX 4090 D by 3.7%.

Q: What is the performance percentile for the CPU and GPU?

A: The CPU sits at the 88th percentile among all CPUs, while the GPU is at the 98th percentile among all GPUs. The combined build achieves a 93rd percentile ranking.

Q: Does the CPU support error-correcting memory?

A: Yes, the Intel Core i5-13600 supports ECC memory. This is a significant feature for professional workstations where data integrity is critical, such as in scientific computing or financial modeling.

Q: What is the memory bandwidth of the graphics card?

A: The RTX 5000 Ada Generation features 32 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s. The memory operates at a base clock of 2250 MHz with an effective speed of 18 Gbps.

Q: What is the socket type for this processor?

A: The CPU uses the Intel Socket 1700. This platform supports the Raptor Lake architecture and offers PCIe Gen 5 with 16 lanes for the CPU.

Q: Are there any measured FPS figures for this specific build?

A: No. The data pack contains no measured FPS rows for this exact CPU and GPU combination. Any discussion of gaming frame rates must be treated as an estimate based on the individual component benchmark scores.

Upgrade Path and Platform

The foundation of this build is the Intel Socket 1700 platform, which hosts the Raptor Lake architecture. The Core i5-13600 supports dual-channel memory configurations with both DDR4 and DDR5 modules, offering flexibility in choosing memory based on availability and budget. The CPU provides 16 PCIe Gen 5 lanes, which is ample for the current GPU and allows for high-speed NVMe storage devices.

For a sensible next upgrade, the user would look toward the CPU. The i5-13600, while capable, sits below the top-tier processors in the same socket family. However, the data does not list specific higher-tier CPU alternatives. The more likely upgrade path involves the GPU. The RTX 5000 Ada Generation is already a top-tier workstation card, and the data indicates its successor, the Blackwell PRO W, exists. However, the current card’s 98th percentile ranking suggests that upgrades would only be necessary for the most extreme professional workloads.

The power supply requirements are a critical consideration. The GPU has a TDP of 250 W and the suggested PSU is 600 W. The CPU’s TDP is 65 W. This leaves significant headroom for the rest of the system, including drives and cooling. The GPU requires a single 16-pin power connector and is a dual-slot card, measuring 267 mm in length. This is a standard size for a high-end card, but users should verify clearance in their chosen case.

The platform’s memory controller supports both DDR4 and DDR5. Choosing DDR5 would provide higher bandwidth, but the data does not specify an exact bandwidth figure for the memory bus. The ECC memory support is a key feature for workstation reliability. The integrated UHD Graphics 770 on the CPU provides a fallback display output, which is useful for troubleshooting or for tasks that do not require the discrete GPU.

Balance and Bottleneck

The performance data reveals a stark imbalance between the CPU and GPU in this pairing. The CPU holds an 88th percentile rank, which is strong, but the GPU sits at the 98th percentile, indicating a much higher relative performance level. This creates a scenario where the GPU is likely to be underutilized in many CPU-bound workloads.

In gaming, the bottleneck would almost always be the CPU. The i5-13600’s benchmark scores, such as a Passmark single-thread score of 4049, are good for gaming, but the RTX 5000 Ada Generation is so powerful that it would likely outpace the CPU’s ability to feed it frames in most titles. This is particularly true at lower resolutions where the CPU’s role in frame generation is more prominent.

For professional rendering tasks, the balance shifts. The GPU’s 65.28 TFLOPS of FP32 performance and 1,020.0 GTexel/s texture rate are immense. In GPU-accelerated renders, the CPU would be tasked with preparing the scene data, and the i5-13600’s multi-threaded scores, like the Cinebench R23 multi-core score of 26,620, are sufficient to keep the GPU fed. However, for CPU-based physics simulations or data processing, the CPU would become the limiting factor.

The data compression score of 383,972 and the floating-point math score of 81,892 suggest the CPU is strong in general computation. The Passmark multithread score of 31,725 further confirms its capability. Yet, the sheer compute density of the GPU means that for any task that can be parallelized on the GPU, the CPU will not be the primary constraint. The bottleneck is contextual: it is the CPU in gaming and light interactive work, but the GPU in heavy parallel compute and rendering.

Who Should Build It

This system is not for the average gamer. It is a professional workstation tailored for users who need extreme GPU compute power. The primary audience is content creators and 3D artists working with complex scenes in applications that leverage CUDA or RTX acceleration. The 32 GB of VRAM is a defining feature, allowing for massive texture loads and large model datasets that would exceed the memory capacity of consumer cards.

The GPU’s 98th percentile ranking and its performance relative to the A100 SXM4, a data center card, indicate its suitability for AI and machine learning tasks. Developers working on neural network training or inference could utilize the 400 Tensor Cores to accelerate these workloads significantly. The 100 RT cores are equally important for architectural visualization and product design, enabling real-time ray-traced previews.

Students and researchers in fields like computational fluid dynamics or molecular modeling would benefit from the FP32 and FP16 performance, which is rated at 1:1 ratio. Small businesses running rendering farms or video editing suites would find this build useful, though the single-GPU configuration limits scalability compared to a multi-GPU setup. The CPU’s ECC memory support is a strong draw for these professional environments where data corruption is unacceptable.

For software developers, the CPU’s 20 threads provide good compilation times, and the GPU can be used for testing parallel algorithms. However, the high cost of this GPU makes it a poor choice for general office work. The system is a specialized tool for those whose income depends on GPU throughput.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture and fabricated on a 5 nm process by TSMC. It houses 76,300 million transistors on a 609 mm² die, resulting in a transistor density of 125.3M per mm². The chip, designated AD102, contains 12,800 shading units, 400 TMUs, and 176 ROPs.

Memory is a key strength, with 32 GB of GDDR6 on a 256-bit bus delivering 576.0 GB/s of bandwidth. The GPU clocks are set to a base of 1155 MHz and a boost of 2550 MHz. The memory clock is 2250 MHz, which translates to an effective data rate of 18 Gbps. This configuration yields a pixel rate of 448.8 GPixel/s and a texture rate of 1,020.0 GTexel/s.

The compute capabilities are substantial. The FP32 throughput is 65.28 TFLOPS, and the FP16 throughput is the same, indicating a 1:1 ratio. This is a notable feature for AI workloads that benefit from reduced precision. The GPU includes 100 RT cores for ray tracing and 400 Tensor cores for AI acceleration. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The benchmark results reflect this raw power. The Geekbench OpenCL score is 175,286, and the Vulkan score is 194,041. These scores place the GPU at the 98th percentile, making it one of the most powerful graphics cards in the database. The average benchmark score of 184,664 puts it competitive with data center cards like the A100 SXM4, which it edges out by 0.5%. This indicates that the RTX 5000 Ada Generation is not just a workstation card; it is a compute monster that can handle rendering, simulation, and AI inference with equal aplomb.

Gaming Performance

It is crucial to note that the FACT PACK contains no measured FPS data for this specific CPU and GPU combination. Therefore, all gaming performance figures discussed here are estimates derived from the component benchmark scores and should be treated as such.

The gaming potential of this build is paradoxical. The GPU is exceptionally fast, but the CPU, while solid, is not in the same performance tier. In GPU-bound scenarios at high resolutions like 4K, the RTX 5000 Ada Generation would likely deliver extremely high frame rates. The 32 GB of VRAM ensures that even the most demanding texture packs will not cause memory overflow. However, the CPU’s 88th percentile ranking suggests it will struggle to keep up at lower resolutions.

For competitive esports titles at 1080p, the CPU would be the limiting factor. The i5-13600’s single-thread performance, evidenced by a Cinebench R23 single-core score of 3,758, is good, but it is not the absolute top-tier. The GPU’s immense power would be wasted as it waits for the CPU to process game logic and draw calls. The result would be high frame rates, but potentially lower than what the GPU is capable of, and lower than what a top-tier gaming CPU like a Ryzen 7 7800X3D might offer.

At 1440p, the balance improves. The GPU’s workload increases, giving the CPU more breathing room. Frame rates would be very high, and the system would be more evenly matched. At 4K, the GPU becomes the primary bottleneck in most games, which is the ideal scenario for this pairing. The RTX 5000 Ada Generation’s 98th percentile performance means it would dominate 4K gaming, delivering maxed-out settings in nearly all titles.

Ray tracing performance is a strong suit for this GPU. With 100 dedicated RT cores, the card should handle ray-traced effects with ease. The Tensor cores also enable DLSS, which can boost frame rates further. However, the lack of measured data means we cannot provide specific figures. The overall picture is that this is a capable gaming machine, but it is overkill for the purpose and its performance will be held back by the CPU at mainstream resolutions.

CPU Analysis

The Intel Core i5-13600 is a 14-core, 20-thread processor based on the Raptor Lake architecture, manufactured on Intel’s 10 nm process. It has a base clock of 2.70 GHz and a boost clock of 5.00 GHz. The CPU’s TDP is 65 W, which is modest for its core count. The die size is 215 mm².

The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 24 MB L3 cache. The memory support includes both DDR4 and DDR5, with a dual-channel memory bus. The CPU also includes integrated graphics in the form of UHD Graphics 770, which is a useful fallback.

The benchmark scores paint a picture of a strong mid-range to upper-mid-range processor. The Cinebench R23 multi-core score is 26,620, and the single-core score is 3,758. The Passmark multi-thread score is 31,725, while the single-thread score is 4,049. In specific workloads, the CPU excels at data encryption with a score of 22,182 and data compression with a score of 383,972.

The 88th percentile ranking places it just behind the AMD Ryzen AI Max 385 and the Intel Core i9-13950HX, with a deltaPct of -0.2% against both. It also trails the Intel Core Ultra X9 388H by -0.5% and the AMD Ryzen 5 7500X3D by -0.7%. These are incredibly tight margins, indicating that the i5-13600 is essentially on par with these other high-end chips.

For real-world workloads, the CPU is a versatile performer. The 20 threads are excellent for video editing, software compilation, and multitasking. The high single-thread score ensures responsive performance in everyday tasks and lightly threaded applications. The ECC memory support is a differentiator for workstations, making this CPU a solid choice for stable, long-running compute tasks. However, it is not a flagship part, and the data shows that users seeking the absolute maximum multi-core performance would need to look at higher-tier options within the same or competing platforms.

Build Overview

This build pairs a mid-to-high-end desktop CPU with a top-tier professional workstation GPU. The build class is desktop, indicating a stationary system. The combined percentile is 93, which places this system in the upper echelon of all builds in the database.

The Core i5-13600 is a capable Raptor Lake processor with 14 cores and a 5.00 GHz boost clock. It is a solid foundation for a productivity system. However, the RTX 5000 Ada Generation is the dominant component. With 32 GB of VRAM and a 98th percentile ranking, it is a professional-grade compute device that dwarfs the CPU in terms of relative performance.

The overall tier of this build is defined by the GPU. It is a professional workstation, not a gaming rig. The CPU serves as a competent supporting partner, but the system’s identity is firmly rooted in GPU-accelerated rendering, AI, and scientific computing. The 93rd combined percentile confirms that this is a very high-performance machine, but its strengths are heavily skewed toward GPU-centric tasks.

Benchmark Performance

The individual benchmark scores for the components illustrate a clear performance hierarchy. The CPU has an average benchmark score of 44,240, placing it at the 88th percentile. The GPU has an average benchmark score of 184,664, placing it at the 98th percentile. The GPU’s score is over four times higher than the CPU’s, underscoring the performance disparity.

The CPU’s nearest rivals are all within a 1% margin of its average score. The AMD Ryzen AI Max 385 scores 44,309, a -0.2% difference. The Intel Core i9-13950HX scores 44,342, also a -0.2% difference. This shows that the i5-13600 is competitive with mobile and desktop flagship parts, despite being a lower-tier model. The Intel Core Ultra X9 388H and AMD Ryzen 5 7500X3D are similarly close, with deltas of -0.5% and -0.7%, respectively.

The GPU’s rival performance is more varied. Its score of 184,664 is 0.5% higher than the NVIDIA A100 SXM4 80 GB’s 183,725. It is 1.3% lower than the A100 SXM4 40 GB’s 187,147. It leads the RTX PRO 5000 Blackwell by 1.4% and the GeForce RTX 4090 D by 3.7%. This indicates that the RTX 5000 Ada Generation is competitive with data center accelerators, making it an exceptionally powerful card.

The combined picture is one of extreme GPU dominance. The CPU is a strong performer that holds its own against much more expensive processors, but the GPU is in a different league. For any workload that can utilize the GPU’s compute shaders, tensor cores, or ray tracing cores, this system will deliver performance that is near the top of the database. For CPU-bound tasks, the performance will be good but not exceptional. The system’s overall 93rd percentile rank reflects the GPU’s raw power.