SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900F + NVIDIA GeForce RTX 4080 SUPER

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

95 / 100
ULTIMATE READY

Apex Performer

Top 5% 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
96%
PROCESSOR

Intel Core i9-13900F

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

NVIDIA GeForce RTX 4080 SUPER

54,209 Benchmark Score
Top 4% 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 i9-13900F and NVIDIA GeForce RTX 4080 SUPER form a high-end desktop pairing that targets the upper tier of performance. This analysis examines the benchmark data for this specific combination, noting that no directly measured FPS rows exist for this exact pairing; all performance discussions regarding frame rates are therefore estimated from the individual component benchmark scores. The data shows a CPU that excels in heavily threaded workloads and a GPU that delivers top-tier rasterization and compute performance, resulting in a balanced system for demanding applications.

GPU Analysis

The NVIDIA GeForce RTX 4080 SUPER is built on the Ada Lovelace architecture using a 5 nm process from TSMC, featuring a die size of 379 mm² and housing 45,900 million transistors. The GPU operates with a base clock of 2295 MHz and a boost clock of 2550 MHz, while its 16 GB of GDDR6X memory runs at 1438 MHz with 23 Gbps effective speed across a 256-bit bus, yielding a substantial memory bandwidth of 736.3 GB/s. This memory configuration is significant for high-resolution textures and complex scenes, as the bandwidth directly supports data throughput to the 10240 shading units.

The RTX 4080 SUPER includes 80 RT cores and 320 tensor cores, which are dedicated to ray tracing and AI-accelerated workloads, respectively. The pixel rate is 285.6 GPixel/s and the texture rate is 816.0 GTexel/s, indicating strong fill-rate capabilities for high-resolution rendering. The FP32 performance is 52.22 TFLOPS, with FP16 performance at the same 52.22 TFLOPS (1:1), which is a key metric for compute-heavy tasks like machine learning inference or certain scientific simulations. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern APIs.

In benchmark testing, the RTX 4080 SUPER achieved a 3DMark Steel Nomad DX12 score of 6600, which is a modern test of pure rasterization performance. The Geekbench OpenCL score of 219065 and Vulkan score of 260075 show strong compute and graphics API performance. The Passmark G3D score of 34245 places the GPU in the 86th percentile of all GPUs, indicating it outperforms the vast majority of discrete graphics cards. Its average benchmark score is 54209, which is nearly identical to the standard RTX 4080 at 54247, a difference of -0.1%, putting the SUPER variant in a statistical tie with its predecessor in these aggregated tests. The data shows it is about 1.1% ahead of the AMD Radeon Pro W5700X and 2.7% ahead of the AMD Radeon RX 6750 GRE 12 GB, confirming its position as a high-end performer.

Benchmark Performance

The combined performance picture for this build is strong, with a combined percentile of 89, meaning this pairing outperforms 89% of all tested system configurations. The CPU, the Intel Core i9-13900F, achieves an average benchmark score of 51730, placing it in the 91st percentile of all CPUs. The GPU, as noted, sits in the 86th percentile. The exact CPU scores show a wide spread across workloads: a Cinebench R23 multi-core score of 40928 and a single-core score of 5778, indicating excellent scaling from one to many cores. The Geekbench multi-core score is 19680 with a single-core score of 2533, further confirming strong per-thread and multi-thread performance.

The combined picture from these scores indicates a system capable of handling both high-refresh-rate gaming and professional productivity tasks. The CPU’s 3DMark 16-thread score of 9957 and max-thread score of 13985 suggest that it can feed the GPU effectively in gaming scenarios, while the GPU’s high compute scores ensure that rendering tasks are completed quickly. Since no measured FPS data exists for this pairing, we can estimate that in CPU-bound scenarios, the i9-13900F’s strong single-thread performance (Passmark single-thread score of 4406) will prevent bottlenecks, while in GPU-bound scenarios, the RTX 4080 SUPER’s high percentile ranking will drive high frame rates at demanding settings. The discrepancy between the CPU’s 91st percentile and GPU’s 86th percentile suggests the CPU has a slight edge in relative capability, potentially allowing for future GPU upgrades without immediate CPU obsolescence.

CPU Analysis

The Intel Core i9-13900F is a 13th-generation Raptor Lake processor on the Intel Socket 1700 platform, manufactured on a 10 nm process. It features 24 cores and 32 threads, a configuration that combines performance and efficiency cores to balance power draw and throughput. The base clock is 2000.00 MHz, but the boost clock reaches 5.60 GHz, which is indicative of the high single-thread performance necessary for gaming and lightly threaded applications. The processor has a 36 MB shared L3 cache, along with 80 KB of L1 and 2 MB of L2 cache per core, providing ample fast storage for frequently accessed data.

The CPU’s benchmark scores show exceptional multi-threaded capability. Its Cinebench R23 multi-core score of 40928 is a top-tier result, while the R20 multi-core score of 17189 and R15 multi-core score of 4125 show consistent high performance across generations of the test. The Passmark multithread score of 49693 is similarly impressive. In contrast, the single-thread scores, such as the Cinebench R23 single-core score of 5778 and the Geekbench single-core score of 2533, are strong but not class-leading, placing it slightly behind the top single-thread performers. The Passmark data shows specific strengths: integer math at 188022, floating-point math at 131007, and extended instructions at 36525, which are critical for scientific computing, financial modeling, and complex simulations. The data compression score of 635147 and encryption score of 38214 indicate robust performance in data-intensive tasks.

Comparing to its nearest rivals, the i9-13900F’s average benchmark score of 51730 is 0.4% behind the AMD Ryzen 9 5950X (51947) and 0.7% behind the Intel Core Ultra 5 235HX (52073). It is essentially tied with the AMD EPYC 8124P (52121, -0.7%) and ahead of the Intel Core Ultra 9 285T (51310, +0.8%). This places the 13900F in a competitive position against both previous-generation and newer processors, showing that its 24-core architecture remains highly relevant for multi-threaded workloads. The TDP of 65 W is notably low for a processor with this core count, indicating efficient power management, though the boost clocks will draw more power under load.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports both DDR4 and DDR5 memory through a dual-channel memory bus. This flexibility is a significant advantage, allowing builders to choose between more affordable DDR4 or higher-bandwidth DDR5 depending on their budget and performance needs. The CPU supports ECC memory, which is a feature often sought after for workstation builds where data integrity is critical. The processor provides 20 PCIe Gen 5 lanes from the CPU, offering high-bandwidth connectivity for the latest NVMe SSDs and expansion cards, though the GPU itself uses a PCIe 4.0 x16 interface.

The RTX 4080 SUPER has a TDP of 320 W and a suggested PSU rating of 700 W, which provides a clear guideline for power supply selection. The CPU has a TDP of 65 W, so the combined system power draw is well within the 700 W guideline, leaving headroom for other components like drives, fans, and RGB lighting. The GPU requires a triple-slot cooler and a single 16-pin power connector, so case compatibility and PSU cable support must be verified. The GPU measures 310 mm in length, 140 mm in height, and 61 mm in width, which is a large card that will require a spacious case.

For a sensible next upgrade, the data suggests that the CPU is currently the weaker link in relative terms, being at the 91st percentile compared to the GPU’s 86th. However, both are high performers. A future upgrade path could involve moving to a newer platform with a higher-performing CPU, as the 13900F is already within 1% of its closest rivals. However, the 65 W TDP and strong multi-core scores indicate that this CPU is not a bottleneck for most applications. A more practical upgrade would be adding more memory or faster storage, as the platform supports PCIe Gen 5, which could double the bandwidth for compatible SSDs. Alternatively, since the GPU is end-of-life, a future GPU upgrade to a newer generation would be a logical step, but the current pairing remains highly capable.

Usage Scenarios

High-Refresh Gaming: The combination of the CPU’s strong single-thread performance (Passmark single-thread score of 4406) and the GPU’s high percentile rank (86th) suggests this system is well-suited for high-refresh-rate gaming. The GPU’s 16 GB of memory and high bandwidth of 736.3 GB/s can handle modern textures at high resolutions, while the CPU’s boost clock of 5.60 GHz ensures that frame times remain low in CPU-bound titles. Estimated frame rates are expected to be very high at 1440p and 4K, though exact numbers are not measured.

Streaming: The i9-13900F’s 24 cores and 32 threads provide ample headroom for encoding and streaming while gaming. The Cinebench R23 multi-core score of 40928 indicates that the CPU can handle simultaneous game rendering and stream encoding without significant performance degradation. The GPU’s NVENC encoder, part of the Ada Lovelace architecture, could also be used to offload this task, though specific encoder performance is not in the data.

Video Editing: The high multi-threaded performance of the CPU (3DMark max-threads score of 13985) and the GPU’s compute capabilities (Passmark GPU compute score of 19822) make this an excellent system for video editing. Timeline scrubbing, rendering, and exporting will be fast, with the GPU accelerating effects and color grading. The 16 GB of VRAM on the GPU is sufficient for complex 4K timelines with multiple layers.

3D Rendering: The CPU’s multi-core scores are exceptional, with a Cinebench R23 multi-core score of 40928, which is critical for CPU-based rendering engines. The GPU’s 52.22 TFLOPS of FP32 performance and its 80 RT cores will accelerate GPU-based renderers and ray-traced scenes. The combination allows for hybrid rendering, where the CPU handles simulation and the GPU handles final frame rendering.

Software Development: The CPU’s high core count and threading support (32 threads) are beneficial for compiling large codebases, running virtual machines, and executing test suites in parallel. The Passmark integer math score of 188022 is particularly relevant for build tasks. The system’s support for ECC memory (with a compatible motherboard) adds stability for long-running compilation jobs.

Student and Office Work: This system is overkill for basic productivity, but the data shows it will handle any office task with ease. The single-thread performance (Geekbench single-core score of 2533) ensures snappy application responsiveness, while the multi-thread performance allows for smooth multitasking with many browser tabs and office applications open. The high power draw and large physical size of the GPU may be a consideration for those with limited desk space.

Who Should Build It

This build is targeted at enthusiasts and professionals who require top-tier performance. Gamers playing at 1440p or 4K resolutions will benefit from the GPU’s high memory bandwidth and compute power, which are essential for high-detail settings and high refresh rates. Content creators, including video editors and 3D artists, will find the combination of the CPU’s 24 cores and the GPU’s 80 RT cores to be a powerful asset for rendering and export tasks.

Software developers working on large projects will appreciate the CPU’s multi-threading capabilities, which speed up compilation times, and the system’s overall stability. Students in fields like computer science or engineering will have a system that can handle demanding simulation software and development tools. Small business workstations that need to handle heavy data processing, such as those in financial analysis or data science, will also benefit from the high integer and floating-point math scores. The CPU’s ECC memory support adds a layer of reliability for those running critical workloads. This is not a system for budget-constrained builds, as the components are high-end, but for those who need maximum performance, the data supports this pairing.

Balance and Bottleneck

The balance between the CPU and GPU is generally good, but the data reveals where each component might limit the other. The CPU, with a percentile rank of 91, is slightly stronger than the GPU, which is at the 86th percentile. In gaming, this means that at lower resolutions (1080p) or with less demanding graphics settings, the GPU might be the limiting factor, as it could reach its maximum frame output while the CPU still has headroom. In this scenario, the CPU’s strong single-thread performance (Passmark single-thread score of 4406) would ensure that it is not the bottleneck, but the GPU’s raw rendering power would cap the FPS.

Conversely, in highly CPU-bound scenarios, such as simulations or physics-heavy games, the CPU could become the limiting factor. However, its high multi-core scores (Cinebench R23 multi-core score of 40928) suggest that this is unlikely in most current titles. In productivity tasks, the bottleneck depends on the software. In CPU-based rendering, the 13900F is the workhorse, and the GPU is underutilized. In GPU-based rendering, the RTX 4080 SUPER takes over, and the CPU’s role is to feed it data, which its 20 PCIe Gen 5 lanes and high memory bandwidth facilitate. The data shows no significant mismatch, suggesting that for most workloads, both components can be utilized effectively without a constant bottleneck. The 65 W TDP of the CPU is low, but its boost behavior is not specified, so a power-limited scenario could theoretically throttle the CPU, but this is not indicated by the benchmark scores.

Build Overview

This is a desktop-class build that pairs the Intel Core i9-13900F with the NVIDIA GeForce RTX 4080 SUPER. The system sits in the 89th percentile of all combined configurations, placing it in the upper echelon of performance. The CPU is a 24-core, 32-thread Raptor Lake processor with a 5.60 GHz boost clock, and the GPU is an Ada Lovelace architecture card with 16 GB of GDDR6X memory and 10240 shading units.

The pairing is a high-end combination designed for both gaming and professional work. The CPU’s benchmark scores are strong, with a Cinebench R23 multi-core result of 40928, placing it just 0.4% behind the AMD Ryzen 9 5950X, its closest rival. The GPU’s Passmark G3D score of 34245 is similarly competitive, being 0.1% behind the standard RTX 4080. The overall tier of this build is high, as indicated by the 89th combined percentile, meaning it outperforms the vast majority of systems in the database. It is a capable machine for 1440p and 4K gaming, 3D rendering, video editing, and software development, and it represents a top-tier choice for those who need uncompromising performance.

FAQ

Q: What is the combined performance percentile of this CPU and GPU pairing?

A: The combined percentile for this build is 89, meaning it outperforms 89% of all tested system configurations in the database.

Q: How does the CPU compare to its closest rival, the AMD Ryzen 9 5950X?

A: The Intel Core i9-13900F has an average benchmark score of 51730, which is 0.4% behind the AMD Ryzen 9 5950X’s score of 51947.

Q: How much memory bandwidth does the RTX 4080 SUPER have?

A: The GPU has a memory bandwidth of 736.3 GB/s, achieved through its 256-bit bus and 23 Gbps effective GDDR6X memory speed.

Q: What is the TDP of the CPU and the suggested PSU rating for the GPU?

A: The CPU has a TDP of 65 W, while the GPU has a TDP of 320 W, and the suggested PSU rating for the GPU is 700 W.

Q: What is the CPU’s single-thread performance score in Cinebench R23?

A: The i9-13900F scores 5778 in the Cinebench R23 single-core test.

Q: Does this build have measured FPS data for games?

A: No, the FACT PACK does not contain any measured FPS data for this exact CPU+GPU combination, so all frame rate estimates are based on the individual benchmark scores.

Q: What is the process node and architecture of the GPU?

A: The RTX 4080 SUPER is built on the 5 nm process from TSMC and uses the Ada Lovelace architecture.