SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900F + NVIDIA GeForce RTX 5090

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
94%
VS
GPU
98%
PROCESSOR

Intel Core i9-13900F

51,730 Benchmark Score
Top 6% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090

79,842 Benchmark Score
Top 2% 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
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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

This pairing of the Intel Core i9-13900F and the NVIDIA GeForce RTX 5090 represents a high-end desktop configuration that anchors the top tier of the current benchmark database. The data indicates a system built for maximum throughput in both CPU-bound productivity and GPU-bound rendering tasks. The processor delivers top-tier multi-threaded performance, while the graphics card offers a massive leap in compute and memory bandwidth. This analysis interprets the benchmark scores and architectural data to provide a clear picture of what this build can achieve.

CPU Analysis

The Intel Core i9-13900F is a 24-core, 32-thread processor based on the Raptor Lake architecture, fabricated on Intel's 10 nm process node. It features a base clock of 2000 MHz and a boost clock of 5.60 GHz. The cache hierarchy is substantial, with 80 KB of L1 and 2 MB of L2 per core, alongside a 36 MB shared L3 cache. This configuration supports both DDR4 and DDR5 memory across a dual-channel bus, and includes ECC memory support, making it viable for workstation-class stability. The CPU utilizes Intel Socket 1700 and provides PCIe Gen 5 connectivity with 20 lanes from the CPU itself.

Benchmark results place this CPU in the 91st percentile among all processors, indicating that it outperforms the vast majority of its peers. The average benchmark score of 51,730 is nearly identical to its closest rival, the AMD Ryzen 9 5950X, which scores 51,947 (a delta of -0.4%). This suggests that in general mixed workloads, the two processors are effectively tied, with the i9-13900F trailing by a negligible margin. Similarly, the Intel Core Ultra 5 235HX and AMD EPYC 8124P sit within a 0.7% delta, showing a tight cluster of high-performance CPUs in this range.

The multi-threaded performance is the defining characteristic of this chip. In Cinebench R23, it scores 40,928 points in the multi-core test, a figure that demonstrates exceptional capability for heavily parallelized tasks like video rendering, code compilation, and scientific simulations. The 3DMark max threads score of 13,985 reinforces this, as does a PassMark multithread score of 49,693. The data shows that for workloads that can utilize 24 cores and 32 threads, this processor is a formidable workhorse.

Single-thread performance, while not the headline, remains strong. The Cinebench R23 single-core score of 5,778 and the 3DMark single-thread score of 1,145 indicate that the 5.6 GHz boost clock is effective in tasks that rely on a single core, such as legacy software or certain game engines. The Geekbench single-core score of 2,533 places it in a competitive position for everyday responsiveness and lightly-threaded applications. The high boost clock is a significant factor in these results, ensuring snappy performance in mixed-use scenarios.

The data also highlights specific computational strengths. The PassMark integer math score of 188,022 and floating-point math score of 131,007 point to strong general arithmetic capability. More specialized tests show high performance in data encryption (38,214) and compression (635,147). These figures indicate the CPU is well-suited for archival tasks, financial modeling, and other data-intensive operations that benefit from high core counts and fast cache.

The 65 W TDP is notably low for a 24-core processor, suggesting that the F-series (without integrated graphics) variant is power-efficient under standard loads, though boost clocks will drive power consumption higher. This low base TDP makes thermal management more straightforward than with higher-wattage parts, but the sustained multi-core performance seen in the benchmarks implies that the cooling solution must still be capable of handling extended all-core workloads. The 36 MB of L3 cache provides a sizable buffer for frequently accessed data, which is beneficial for both gaming and productivity.

GPU Analysis

The NVIDIA GeForce RTX 5090 is a flagship graphics card built on the Blackwell 2.0 architecture, using the GB202 chip fabricated on TSMC's 5 nm process. It is a massive chip, containing 92,200 million transistors on a 750 mm² die. The GPU operates at a base clock of 2017 MHz and boosts to 2407 MHz. Memory is a defining feature: 32 GB of GDDR7 on a 512-bit bus, yielding a staggering 1.79 TB/s of bandwidth. This is paired with 21,760 shading units, 680 texture mapping units, and 176 ROPs.

For ray tracing and AI-accelerated workloads, the GPU includes 170 RT cores and 680 tensor cores. The compute capabilities are immense, with the FP32 and FP16 performance both rated at 104.8 TFLOPS (1:1 ratio), indicating that the card is equally adept at standard shader work and half-precision AI inference. The pixel rate is 423.6 GPixel/s and the texture rate is 1,636.8 GTexel/s, figures that confirm its ability to fill high-resolution frames with complex textures.

In benchmark rankings, the RTX 5090 sits in the 92nd percentile of all GPUs, with an average benchmark score of 79,842. Its closest rivals are interesting: the NVIDIA Tesla P100 PCIe 16 GB scores 79,605 (0.3% lower), and the AMD Radeon RX 6850M XT scores 78,940 (1.1% lower). The data shows the RTX 5090 outperforms these by a small percentage, but it is important to note that these rivals are from different market segments (data center and mobile, respectively), highlighting the unique position of this desktop card.

The 3DMark Steel Nomad DX12 score of 18,355 is a direct measure of modern gaming performance under the DirectX 12 Ultimate API. This score, combined with the PassMark G3D score of 39,650, places the card at the apex of rasterization performance. The GPU compute score of 26,756 in PassMark and the Geekbench OpenCL score of 334,370 underscore its capability in non-gaming compute tasks. The Vulkan score of 376,728 in Geekbench is particularly high, suggesting excellent performance in Vulkan-based renderers and games.

The 32 GB VRAM is a critical advantage for professional rendering, allowing entire scenes and high-resolution textures to reside in GPU memory without spilling to system RAM. The 1.79 TB/s bandwidth ensures that the GPU's 21,760 shaders are kept fed, which is essential for maintaining high frame rates at 4K resolution with maximum detail settings. The dual-slot design and 575 W TDP necessitate a robust power delivery system; the suggested PSU is 950 W, which provides ample headroom for the rest of the system.

The RT and tensor cores are not just for gaming. They accelerate workloads like path tracing in DCC applications and AI denoising. The 680 tensor cores provide the horsepower for local AI model training and inference, making this a dual-purpose card for both creative and scientific computing. The FP16 performance being equal to FP32 at 104.8 TFLOPS indicates that the card does not artificially throttle half-precision throughput, which is a boon for AI workloads that rely on FP16.

Balance and Bottleneck

The combined percentile for this CPU and GPU pairing is 92, indicating an exceptionally high-performing system. However, a critical analysis of the data reveals where the bottleneck lies in different scenarios. The CPU, with a 91st percentile ranking, is slightly below the GPU's 92nd percentile. This suggests that in purely GPU-bound tasks like high-resolution gaming, the RTX 5090 is the star, and the CPU is sufficient to keep up. However, the margin is thin, and the data shows that the CPU is not significantly faster than its rivals, meaning it is the limiting factor in framerate generation at lower resolutions.

The 3DMark 16-thread score of 9,957 for the CPU is strong, but the RTX 5090's raw compute power is so high that even a minor CPU stall can leave the GPU waiting. In gaming at 1080p or 1440p with a high-end GPU, the CPU is often the bottleneck because it must process game logic and draw calls faster than the GPU can render frames. The i9-13900F's single-thread performance (3DMark single-thread score of 1,145) is good, but it is not the absolute best in the database, meaning it may cap frame rates in esports titles or CPU-intensive simulations.

Conversely, in workloads like 3D rendering or video encoding, the balance shifts. The CPU's Cinebench R23 multi-core score of 40,928 and the GPU's compute scores are both high, but they are used sequentially in most pipelines. A render job will first use the CPU to prepare scene data (where the 24 cores help) and then the GPU to render the final image (where the 32 GB VRAM and 104.8 TFLOPS shine). The data suggests that neither component will be idle for long; they complement each other well in mixed workflows.

The lack of measured FPS data for this exact combination means that precision bottleneck analysis must be inferred from the benchmark percentiles. The CPU's average score is 0.4% lower than the Ryzen 9 5950X, which is a negligible difference. This means that in a system with an RTX 5090, a user upgrading from a 5950X to the i9-13900F would see no measurable CPU-bound performance change. The GPU is the dominant component, and the CPU is a capable, but not perfect, partner.

For memory-intensive operations, the dual-channel memory bus is a potential limitation. While the GPU has 1.79 TB/s of bandwidth, the CPU relies on system memory, and the type (DDR4 or DDR5) will significantly impact performance. The fact that the CPU supports both is a flexibility, but to avoid a bottleneck, a user must choose high-speed DDR5. The data does not specify a memory bandwidth figure for the CPU, but the GPU's massive bandwidth advantage highlights the need for fast system RAM to prevent the CPU from becoming the limiting factor in data transfer.

FAQ

Q: Is the Intel Core i9-13900F a fast processor for multi-threaded work?

A: Yes. The Cinebench R23 multi-core score of 40,928 and the PassMark multithread score of 49,693 place it in the 91st percentile of all CPUs, demonstrating exceptional performance in heavily parallelized tasks like rendering and compilation.

Q: How does the RTX 5090's memory bandwidth compare to its compute power?

A: The GPU features 32 GB of GDDR7 memory on a 512-bit bus, providing 1.79 TB/s of bandwidth. This is paired with 104.8 TFLOPS of FP32 compute, ensuring the shaders are not starved for data in high-resolution rendering scenarios.

Q: What is the main difference between the CPU's integrated graphics and the discrete GPU?

A: The CPU is an F-series part, meaning it has no integrated graphics. All video output must come from the discrete RTX 5090, which is a dedicated card with its own 32 GB of VRAM and 21,760 shading units.

Q: Is this system suitable for AI development?

A: The data suggests yes. The RTX 5090 has 680 tensor cores and delivers 104.8 TFLOPS of FP16 performance, which is ideal for training and inference. The CPU's 32 threads also help with data preprocessing.

Q: Does the CPU support error-checking memory?

A: Yes, the Intel Core i9-13900F supports ECC memory. This is a valuable feature for workstation builds where data integrity is critical, such as financial modeling or scientific computing.

Q: How does the CPU's single-thread performance affect gaming?

A: The boost clock of 5.60 GHz helps achieve a Cinebench R23 single-core score of 5,778, which is competitive. This ensures that games which rely on a single main thread will run smoothly, though it is not the absolute top score in the database.

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

A: The data lists a suggested PSU of 950 W. This is based on the GPU's 575 W TDP and the CPU's 65 W TDP, providing headroom for transient power spikes and overclocking.

Benchmark Performance

The benchmark data presents a clear picture of a top-tier system. The CPU's average benchmark score is 51,730, placing it in the 91st percentile. Its nearest rival, the AMD Ryzen 9 5950X, scores 51,947, a delta of -0.4%, indicating the i9-13900F is statistically tied with that chip in overall performance. The Intel Core Ultra 9 285T is slightly behind at 51,310, a delta of 0.8%, showing the i9-13900F holds a slight edge over that part.

The GPU's average benchmark score is 79,842, placing it in the 92nd percentile. Its nearest rival, the NVIDIA Tesla P100 PCIe 16 GB, scores 79,605, a delta of 0.3%. This means the RTX 5090 is 0.3% faster than the Tesla P100 in these aggregate tests. Compared to the AMD Radeon Pro Vega 64X, which scores 80,959, the RTX 5090 is 1.4% slower, showing that a workstation card still holds an edge in some compute metrics.

The combined percentile for this pairing is 92, which is a strong indicator of elite-level performance. The CPU's best scores come in Cinebench R23 multi-core (40,928) and PassMark integer math (188,022), while the GPU's best scores are in Geekbench Vulkan (376,728) and OpenCL (334,370). The 3DMark Steel Nomad DX12 score of 18,355 for the GPU is the most relevant figure for modern gaming, showing that this card is built for DirectX 12 Ultimate titles.

In direct comparison, the CPU is the weaker link. It is 0.4% slower than the Ryzen 9 5950X, while the GPU is 0.3% faster than the Tesla P100. This means that in a system where both are fully utilized, the CPU will be the first component to reach its limit. The data shows that the i9-13900F is a high-end processor, but the RTX 5090 is an extreme outlier in performance, making the CPU the limiting factor in some scenarios.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination in the FACT PACK. Therefore, all frame rate expectations are estimates based on the benchmark scores. The data is not measured, and these figures should be treated as projections. The RTX 5090's 3DMark Steel Nomad DX12 score of 18,355 is a strong predictor of high frame rates in modern games at maximum settings.

Based on the GPU's compute power and the CPU's strong single-thread score of 1,145 in 3DMark, this system is estimated to deliver excellent performance at 1440p and 4K resolutions. At 4K, the GPU will be the primary bottleneck, and the 32 GB VRAM will allow for ultra-high-resolution texture packs without issue. The 1.79 TB/s bandwidth ensures that frame pacing remains consistent, even in open-world games with heavy asset streaming.

At 1440p, the CPU becomes a more significant factor. The i9-13900F's 24 cores and 5.6 GHz boost clock are sufficient to push high frame rates, but the data suggests that it is not the absolute fastest single-threaded CPU. Players seeking the absolute highest frame rates in esports titles at 1080p might find the CPU limits the GPU, as the 3DMark single-thread score is not at the very top of the database.

For ray-traced games, the 170 RT cores will provide a substantial performance boost. The estimated frame rates will be higher than any previous generation, but the exact figures depend on the game's engine and optimization. The combination of 104.8 TFLOPS FP32 and 104.8 TFLOPS FP16 suggests that hybrid rendering modes, which use AI upscaling, will perform exceptionally well, allowing for high-quality ray tracing without the usual performance penalty.

The lack of measured FPS data means that specific numbers cannot be provided. However, given the GPU's percentile ranking (92nd) and the CPU's (91st), the system is expected to run any current game at high settings with playable frame rates. The estimates are positive, but the data must be interpreted as a projection rather than a guarantee of specific performance.

Who Should Build It

The Intel Core i9-13900F and RTX 5090 pairing is a desktop-class system aimed at users who require the absolute maximum performance in both CPU and GPU workloads. The data shows it is a top-tier configuration suited for several professional and enthusiast segments.

For gamers at 4K resolution, this build is ideal. The RTX 5090's 32 GB VRAM and 1.79 TB/s bandwidth are designed for high-resolution textures and high frame rates. The CPU's 24 cores ensure that background tasks do not interfere with gameplay. Gamers at 1440p with high refresh rate monitors will also benefit, though the CPU may be a slight limiting factor in very CPU-intensive titles.

Content creators, particularly video editors and 3D artists, will find this system exceptional. The CPU's Cinebench R23 multi-core score of 40,928 accelerates video encoding and scene rendering, while the GPU's 104.8 TFLOPS FP32 and 680 tensor cores handle effects and AI-based tools. The 32 GB VRAM is a critical advantage for rendering complex 3D scenes without memory errors.

Software developers, especially those working on game engines or large codebases, will appreciate the 32 threads for compilation tasks. The PassMark integer math score of 188,022 is a strong indicator of fast code compilation. For researchers and data scientists, the GPU's FP16 performance of 104.8 TFLOPS and the CPU's ECC memory support make this a viable workstation for AI model training and simulation workloads.

Students in engineering or computer science programs will find this build overkill for everyday tasks, but it is capable of handling any academic project, from complex simulations to machine learning assignments. Small business workstations that handle financial modeling or data analysis will benefit from the high encryption (38,214) and compression (635,147) scores, which speed up database operations and file archiving.

Build Overview

This build pairs the Intel Core i9-13900F, a 24-core Raptor Lake processor, with the NVIDIA GeForce RTX 5090, a flagship Blackwell 2.0 graphics card. The system is classified as a desktop build, and the combined percentile of 92 places it in the upper echelon of all configurations in the database. This is a high-performance pairing designed for users who need the best of both worlds: heavy multi-threaded CPU work and extreme GPU rendering.

The CPU is a 10 nm part with a 65 W TDP, while the GPU is a 5 nm part with a 575 W TDP. This disparity in power consumption is typical for high-end systems, where the GPU dominates the power budget. The system is designed for a desktop chassis, and the GPU's dual-slot design and 304 mm length require a full-size tower case with good airflow.

In terms of performance tier, the CPU is in the 91st percentile and the GPU is in the 92nd percentile. This makes the system a top-tier performer, capable of handling any software available in 2024. The CPU's nearest rival is the AMD Ryzen 9 5950X, and the GPU's nearest rival is the Tesla P100, showing that this build is competitive with the best parts from previous generations.

This is not a budget system; it is a premium configuration that targets power users. The data does not include pricing, but the component choices indicate a high-end market position. The pairing is well-balanced for a workstation that does both CPU-intensive and GPU-intensive tasks, but the GPU is the dominant component, and the CPU is a supporting player that must be paired with fast memory to avoid a bottleneck.

Upgrade Path and Platform

The Intel Core i9-13900F uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory. This provides a degree of flexibility for builds, allowing users to choose between cost-effective DDR4 or higher-performance DDR5. The platform supports PCIe Gen 5 with 20 CPU lanes, which is sufficient for the RTX 5090's PCIe 5.0 x16 interface, ensuring full bandwidth for the GPU.

The CPU's 65 W TDP is low, but the RTX 5090 has a 575 W TDP, and the suggested PSU is 950 W. This provides significant headroom for the entire system, including storage drives and cooling. The 1x 16-pin power connector on the GPU requires a compatible power supply, and the 950 W recommendation ensures that the PSU can handle transient power spikes.

For a sensible next upgrade, the data points to the memory subsystem. While the CPU supports DDR4, a user with a DDR4 board would benefit from upgrading to DDR5 to maximize the CPU's performance. The memory bus is dual-channel, and the lack of a specified memory bandwidth means the CPU's performance is heavily dependent on the memory speed chosen.

The CPU is a locked multiplier part (multiplierUnlocked: false), meaning it cannot be overclocked. The GPU, however, is a custom design that may allow for factory overclocks, but the data does not specify. The upgrade path beyond this CPU would require a new motherboard, as the Socket 1700 is likely at the end of its life with the 13th generation. The RTX 5090, however, is a current-generation card that will remain relevant for several years, and its successor is listed as the GeForce 60 series, which is not yet released.