SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KF + NVIDIA RTX 5000 Ada Generation

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

98 / 100
ULTIMATE READY

Apex Performer

Top 2% 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
96%
VS
GPU
99%
PROCESSOR

Intel Core i9-13900KF

61,841 Benchmark Score
Top 4% 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 i9-13900KF paired with the NVIDIA RTX 5000 Ada Generation is a desktop configuration that ranks in the 96th percentile overall, making it a top-tier combination for both high-end productivity and demanding creative workloads. The CPU, with a 93rd percentile ranking, delivers exceptional multi-threaded performance driven by its 24 cores and 32 threads, while the GPU, sitting in the 98th percentile, offers workstation-class compute capabilities with 32 GB of memory. This pairing is not primarily a gaming setup; it is a professional computing platform where the strengths of both components complement each other for rendering, simulation, and AI-adjacent tasks, though it is also fully capable of running modern games at high settings.

FAQ

Q: What is the combined performance tier of this CPU and GPU pair?

A: The combined percentile for this build is 96, placing it in the top tier of all configurations in the database. This indicates a very high level of overall performance, suitable for demanding professional and enthusiast workloads.

Q: How does the Intel Core i9-13900KF compare to its closest rival, the Intel Core i9-13900K?

A: The i9-13900KF has an average benchmark score of 61841, which is 0.1% higher than the Intel Core i9-13900K's score of 61766. The performance difference between the two is essentially negligible, with a deltaPct of 0.1.

Q: What are the key specifications of the NVIDIA RTX 5000 Ada Generation GPU?

A: The GPU is based on the Ada Lovelace architecture and features 12800 shading units, 100 RT cores, and 400 tensor cores. It has 32 GB of GDDR6 memory on a 256-bit bus, providing a memory bandwidth of 576.0 GB/s, and delivers 65.28 TFLOPS of FP32 compute performance.

Q: Does this system support overclocking?

A: Yes, the Intel Core i9-13900KF has an unlocked multiplier, which means it is designed for overclocking. This allows users to push the CPU beyond its standard boost clock of 5.80 GHz, provided they have adequate cooling and power delivery.

Q: What memory types are supported by this platform?

A: The Intel Core i9-13900KF supports both DDR4 and DDR5 memory. The memory controller operates in a dual-channel configuration, allowing for either two or four memory modules to be used for optimal bandwidth.

Q: Is the RTX 5000 Ada Generation a gaming card or a workstation card?

A: The data indicates this is a workstation-class GPU, as its generation is listed as "Workstation Ada" and its predecessor is "Workstation Ampere". Its high FP32 compute and 32 GB of memory are more aligned with professional rendering and compute tasks than pure gaming.

Q: What is the power supply requirement for this build?

A: The suggested PSU wattage for the NVIDIA RTX 5000 Ada Generation is 600 W. This figure represents the recommended power supply capacity for the GPU alone, and a system with the i9-13900KF (125 W TDP) would likely require a higher-wattage unit to account for the entire system.

Gaming Performance

No measured FPS rows exist for this exact combination in our database. Therefore, all gaming performance figures discussed here are estimates based on the individual benchmark scores of the CPU and GPU, not direct measurements. The gaming potential of this system is extremely high, but it is not the primary focus of this hardware pairing.

From the CPU side, the 3DMark single-thread score of 1188 and the 3DMark 4-thread score of 4643 suggest that the i9-13900KF has the per-core strength needed to feed a high-end GPU in games that are sensitive to single-thread performance. The 3DMark 8-thread score of 8510 indicates that modern games that utilize more than four cores will also see strong performance.

From the GPU side, the RTX 5000 Ada Generation is a compute monster, and its Geekbench OpenCL score of 175286 and Vulkan score of 194041 are far above what is typically required for even the most demanding games. In rasterized gaming, this GPU is likely to produce extremely high frame rates at 1440p and 4K resolutions, as its raw pixel fill rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s are massive.

However, the system's architecture is optimized for compute, not just frame generation. The 100 RT cores and 400 tensor cores are capable of delivering excellent ray-traced visuals and DLSS performance. Given the GPU's 98th percentile ranking, estimated gaming performance would be at the very high end of the spectrum, likely exceeding the capabilities of most gaming-specific GPUs. For a dedicated gaming build, this pairing would be overkill unless the user also requires the compute power for other tasks.

CPU Analysis

The Intel Core i9-13900KF is a 24-core, 32-thread processor based on the Raptor Lake architecture, built on Intel's 10 nm process node. It features a base clock of 3.00 GHz and a boost clock of 5.80 GHz, with an unlocked multiplier for overclocking. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB of L3 cache.

Benchmark results show a clear scaling pattern from low to high thread counts. The 3DMark scores progress from 1188 (single-thread) to 2353 (2-threads) to 4643 (4-threads) to 8510 (8-threads) and finally to 15405 (max-threads). This indicates a strong scaling efficiency as more cores are engaged, which is a hallmark of a well-designed multi-core architecture.

In multi-threaded workloads like Cinebench R23, the CPU achieves a score of 48855, which is a dominant result. This suggests that the processor can handle heavily parallelized tasks such as 3D rendering, video encoding, and scientific simulations with ease. The Passmark multi-thread score of 57729 reinforces this, showing the CPU's ability to sustain high throughput across all cores.

The single-thread performance is equally impressive, with a Cinebench R20 single-core score of 2896 and a Geekbench single-core score of 2668. This high level of per-core performance is critical for tasks like software compilation, legacy application support, and gaming, where individual threads often become the bottleneck. The Passmark single-thread score of 4584 confirms that this is one of the fastest consumer CPUs available for single-threaded operations.

The data compression (Passmark score of 786218) and encryption (Passmark score of 46186) results are particularly noteworthy. These tasks are common in database management, file archiving, and secure communications, and the i9-13900KF excels in these areas, making it a strong choice for server-like or heavy I/O workloads. Overall, the CPU is a top-tier performer (93rd percentile) that is equally at home in gaming, content creation, and productivity.

Balance and Bottleneck

In this configuration, the balance between CPU and GPU is heavily skewed toward the GPU for graphics-intensive tasks, while the CPU is the more dominant force in general-purpose and lightly-threaded workloads. The CPU's 93rd percentile and the GPU's 98th percentile suggest that, in most gaming scenarios, the GPU will be the limiting factor for frame rate, as it is the higher-performing component relative to its peers.

However, the bottleneck shifts depending on the workload. In a game that is poorly multi-threaded, the CPU's single-thread performance becomes the limiting factor. With a 3DMark single-thread score of 1188, the i9-13900KF is among the best, so this bottleneck would only occur in extreme edge cases. In highly multi-threaded games, the CPU's 24 cores are more than sufficient, allowing the GPU to be the primary driver of performance.

For professional workloads like 3D rendering, the balance is more complex. The CPU's Cinebench R23 multi-core score of 48855 is responsible for the majority of the scene-building and physics calculations, while the GPU's FP32 compute of 65.28 TFLOPS handles the actual rendering. In this context, neither component is a bottleneck; they are both working at their respective strengths.

The memory bandwidth of the GPU (576.0 GB/s) is a crucial factor in high-resolution and texture-heavy workloads. Since the GPU has 32 GB of VRAM, it can hold massive datasets, reducing the need to stream data from system memory, which helps avoid a CPU-to-GPU bottleneck. The CPU's support for dual-channel DDR5 memory also helps ensure that system memory bandwidth is not a limiting factor for the CPU's multi-threaded performance.

Benchmark Performance

The Intel Core i9-13900KF achieves an average benchmark score of 61841, placing it in the 93rd percentile against all CPUs. Its nearest rival, the Intel Core Ultra 7 270HX Plus, scores 61834, a deltaPct of 0. The i9-13900K is 0.1% behind, and the i9-13900T is 0.2% behind, showing that the 13900KF is effectively at the top of its performance class.

The NVIDIA RTX 5000 Ada Generation achieves an average benchmark score of 184664, placing it in the 98th percentile against all GPUs. This is a significantly higher percentile than the CPU, indicating that the GPU is the more dominant component in this pairing. Its nearest rival, the NVIDIA A100 SXM4 80 GB, has a score of 183725, which is 0.5% lower. The A100 SXM4 40 GB is 1.3% higher, and the RTX PRO 5000 Blackwell is 1.4% lower.

The combined percentile for this build is 96, which reflects the high standing of both components. The gap between the CPU's percentile (93) and the GPU's percentile (98) suggests that, in a balanced system, the GPU is the stronger component. This means that for tasks that are purely GPU-bound, the system will perform significantly better than the CPU alone would suggest. The picture is one of a system with no weak links; both the CPU and GPU are near the top of their respective charts, making this a very high-performance platform overall.

Who Should Build It

This configuration is designed for professionals and power users who require extreme compute performance in a desktop form factor. The target user is not the typical gamer, but rather someone who works with 3D rendering, video editing, or complex simulations.

  • 3D Artists and Animators: The RTX 5000 Ada Generation's 65.28 TFLOPS of FP32 performance and 32 GB of VRAM are ideal for rendering complex scenes and handling large textures. The CPU's 24 cores will accelerate viewport performance and physics simulations.
  • Video Editors and Colorists: The 32 GB of GPU memory allows for smooth playback and editing of high-resolution (8K) footage with multiple layers and effects. The CPU's high single-thread and multi-thread scores will help with encoding and decoding timelines.
  • Software Developers: The i9-13900KF's 32 threads and high Passmark integer math score of 206859 make it a powerful tool for compiling large codebases. The GPU can be used for CUDA-accelerated testing and simulation.
  • Data Scientists and Researchers: With 100 RT cores and 400 tensor cores, the GPU is well-suited for machine learning inference and training workloads. The CPU's high data compression score (786218) is beneficial for preprocessing large datasets.
  • Small Business Workstations: For small businesses that need to run heavy enterprise applications, database servers, or CAD software, this build offers a high level of performance that can handle multiple concurrent tasks without slowdown.

Usage Scenarios

High-Refresh Gaming: While not the primary target, the system will deliver excellent gaming performance. The CPU's 3DMark single-thread score of 1188 ensures high minimum frame rates, and the GPU's raw power will likely push frame rates beyond 144 FPS at 1440p and maintain high refresh rates at 4K in most titles, though this is an estimate based on compute scores rather than measured FPS.

Streaming: The i9-13900KF has 24 cores and 32 threads, which is more than sufficient to handle game encoding (via x264) while simultaneously running a game, without impacting the game's frame rate. The GPU's NVENC encoder, while not explicitly listed, is a standard feature on NVIDIA cards and would offload the streaming workload entirely from the CPU.

Video Editing: The combination of the CPU's Cinebench R23 multi-core score of 48855 and the GPU's 32 GB of memory makes this an ideal system for video editing. It can handle 4K and 8K timelines with ease, and the large VRAM allows for real-time preview of heavy color grades and effects without dropping frames.

3D Rendering: In CPU-based renderers, the 13900KF's 32 threads will produce fast render times. In GPU-based renderers (like Octane or Redshift), the RTX 5000 Ada's 65.28 TFLOPS and 576.0 GB/s memory bandwidth will provide exceptionally fast photorealistic rendering, with the 32 GB VRAM allowing for scenes that would exceed the capacity of most consumer cards.

Software Development: The CPU's high integer math score (206859) and data compression score (786218) indicate strong performance in code compilation and data processing. The 32 threads allow for parallel builds, and the high single-thread speed (Geekbench 2668) ensures responsive UI and quick indexing in IDEs.

Student and Office Work: For a student or office environment, this configuration is massively overpowered. However, for specific fields like engineering or data science, it would provide a seamless experience for running complex simulations, MATLAB, or statistical analysis software, where the CPU's multi-core performance is a direct asset.

Upgrade Path and Platform

The platform is based on the Intel Socket 1700, which supports the Intel Core 13th Gen series. The CPU's TDP is 125 W, and the GPU has a TDP of 250 W, with a suggested PSU of 600 W for the GPU alone. When considering upgrades, the power supply headroom is a key factor; a 600 W PSU is sufficient for the GPU, but a system with the i9-13900KF would require a higher-rated PSU to ensure stable operation under full load.

The CPU supports dual-channel DDR4 and DDR5 memory. Upgrading from DDR4 to DDR5 would be a significant platform change, as it requires a new motherboard. However, if the current system uses DDR5, the primary upgrade path for the CPU would be to another Socket 1700 processor, though the 13900KF is already near the top of that generation. The GPU, which uses a PCIe 4.0 x16 interface, can be upgraded to a newer PCIe 4.0 or 5.0 card, but the RTX 5000 Ada is already a top-tier workstation card.

The most sensible next upgrade for this system would likely be the GPU, as it is the higher-performing component and has the most impact on compute-heavy tasks. However, given the GPU's 98th percentile, there is little room for improvement without moving to a different class of hardware. A more practical upgrade would be to increase system memory to maximize the CPU's multi-threaded performance, or to add additional NVMe storage for faster data access. The motherboard's PCIe Gen 5 support (20 lanes from the CPU) ensures that future high-speed storage devices will be fully supported.

Build Overview

This is a desktop build that pairs a top-tier enthusiast CPU with a professional workstation GPU. The Intel Core i9-13900KF is a 24-core, 32-thread processor from the Core 13th Gen series, designed for maximum multi-threaded performance. The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU based on the Ada Lovelace architecture, with 32 GB of GDDR6 memory and 65.28 TFLOPS of FP32 compute.

The combined percentile of 96 places this system in the top tier of all configurations in our database. The CPU's 93rd percentile ranking and the GPU's 98th percentile ranking indicate that this system is built for extreme performance. The i9-13900KF provides the high-core-count processing power needed for complex simulations and rendering, while the RTX 5000 Ada Generation offers the massive compute and memory resources required for professional graphics and compute workloads. This is not a typical gaming PC; it is a high-performance workstation that can also handle gaming at very high settings. It represents one of the most capable desktop platforms available for users who need the absolute best in both CPU and GPU performance.