SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900F + NVIDIA GeForce RTX 5080 SUPER

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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87 Score

Top 13% Ranking

87 / 100

HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

94%

GPU

79%

PROCESSOR

Intel Core i9-13900F

51,730 Benchmark Score

Top 6% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA GeForce RTX 5080 SUPER

3,075 Benchmark Score

Top 21% 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

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

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 paired with the NVIDIA GeForce RTX 5080 SUPER is a desktop configuration that presents a stark contrast in benchmark performance. The processor is a high-end 24-core part that sits in the 91st percentile of all CPUs, while the GPU’s single available benchmark score places it in the 19th percentile, a figure that appears anomalously low for a 50-series card. This analysis relies exclusively on the provided data, which contains no measured FPS rows for this exact combination; therefore, all gaming performance discussions are estimates derived from the CPU and GPU benchmark scores.

Usage Scenarios

For high-refresh gaming, this pairing presents a complex picture. The CPU’s strong single-thread score of 1145 in 3dMark_single_thread and 4406 in Passmark_single_thread ensures it is not the limiting factor in most titles, capable of feeding frames quickly. However, the GPU’s 3DMark Steel Nomad DX12 score of 3075, which places it in the 19th percentile, suggests that at high resolutions and ultra settings, the graphics card will likely cap frame rates well below what the CPU could otherwise support, making high-refresh 1440p or 4K gaming potentially inconsistent.

Streaming benefits significantly from the CPU’s massive thread count. With 32 threads and a Cinebench R23 multi-core score of 40928, the i9-13900F can handle game encoding and broadcasting workloads simultaneously without crippling frame rates. The Passmark data encryption score of 38214 and extended instructions score of 36525 further indicate strong headroom for software encoding, reducing the need to offload to the GPU. This makes the system a capable streaming workstation, provided the GPU can keep up with the game’s rendering demands.

Video editing is a workload where the CPU dominates, and this processor excels. The Geekbench multi-core score of 19680 and Passmark multithread score of 49693 demonstrate excellent ability to handle timeline scrubbing, effect rendering, and export tasks. The GPU’s 24 GB of VRAM and 1.02 TB/s bandwidth can assist with real-time previews and GPU-accelerated effects, but the 19th percentile GPU score suggests that complex GPU-accelerated renderers may not perform as expected, making the CPU the primary workhorse for this task.

3D rendering workloads are heavily multi-threaded, and the i9-13900F is clearly built for this. A Cinebench R23 multi-core score of 40928 and a 3dmark_max_threads score of 13985 show that the CPU can chew through ray tracing and physics calculations in software. The GPU, despite its low percentile rank, offers 84 RT cores and 56.28 TFLOPS of FP32 performance, which could accelerate certain render engines, but the benchmark data suggests its actual performance in this metric is questionable, so relying on CPU rendering might be the safer path.

Software development benefits from the CPU’s compilation speeds, which scale with multi-core performance. The Passmark integer math score of 188022 and floating point math score of 131007 indicate rapid code compilation and test execution. The fast memory support for both DDR4 and DDR5 allows for flexible system configuration, while the 36 MB of shared L3 cache helps with frequently accessed data, making this a responsive platform for developers working on large codebases.

For student and office work, this configuration is massively overqualified but not inefficient in the data. The CPU’s single-thread performance is strong, and the Passmark data compression score of 635147 shows it can handle archiving and file management quickly. However, the GPU’s low benchmark percentile and high 415 W TDP mean the system will consume significant power even for mundane tasks, making it a poor fit for typical office environments where battery life and quiet operation are not a concern, but for a power-user student, it is a formidable machine.

Benchmark Performance

The CPU’s average benchmark score is 51730, placing it in the 91st percentile of all CPUs. Its nearest rival, the AMD Ryzen 9 5950X, scores 51947, a delta of -0.4 percent, meaning the i9-13900F is essentially tied with a previous-generation flagship. The Intel Core Ultra 9 285T is 0.8 percent behind, while the Intel Core Ultra 5 235HX and AMD EPYC 8124P are 0.7 percent behind. This data indicates that the i9-13900F is a top-tier processor that trades blows with the best available alternatives, making it an excellent choice for any CPU-bound workload.

The GPU’s average benchmark score is 3075, placing it in the 19th percentile of all GPUs. Its nearest rival, the NVIDIA Quadro P1000, scores 3163, which is 2.8 percent higher, while the Intel Arc Pro B60 is 3.4 percent higher. The NVIDIA GeForce 820A is 3.1 percent lower, and the GTX 860M is 3.6 percent lower. This data is surprising, as it places the RTX 5080 SUPER in the same performance bracket as low-end and older mobile or workstation cards, which conflicts with its 24 GB of GDDR7 memory and 10752 shading units. The combined percentile for this build is 55, reflecting the CPU’s high position and the GPU’s low position. The combined picture is of an unbalanced system where the CPU is a top-10 percent performer, but the GPU, as measured, is a bottom-fifth performer, creating a significant bottleneck in GPU-bound tasks.

GPU Analysis

The NVIDIA GeForce RTX 5080 SUPER is built on the Blackwell 2.0 architecture using a 5 nm process at TSMC, with a die size of 378 mm² and 45,600 million transistors. It has 24 GB of GDDR7 memory on a 256-bit bus, delivering a bandwidth of 1.02 TB/s, which is substantial for high-resolution texture streaming and large dataset manipulation. The GPU operates at a base clock of 2295 MHz and a boost clock of 2617 MHz, with memory running at 2000 MHz or 32 Gbps effective. This hardware spec sheet suggests a high-end part, but the benchmark score of 3075 in 3DMark Steel Nomad DX12 does not reflect that.

The GPU has 10752 shading units, 336 TMUs, and 112 ROPs, along with 84 RT cores and 336 tensor cores. It achieves a pixel rate of 293.1 GPixel/s and a texture rate of 879.3 GTexel/s, with FP32 performance of 56.28 TFLOPS and FP16 performance of 56.28 TFLOPS (1:1). For rendering, these raw numbers indicate a card that should excel in rasterization and ray tracing, but the benchmark percentile of 19 contradicts this. The nearest rival scores suggest the GPU performs like a Quadro P1000 or an Arc Pro B60, which are not gaming-class parts. This data implies that either the benchmark is not representative of the card’s real-world performance, or there is a significant issue with the specific sample tested. In terms of rendering, the RT and tensor cores are present for hardware-accelerated features, but the measured scores suggest that software-based rendering on the CPU might be more reliable.

Who Should Build It

Gamers at 1080p with high-refresh monitors could potentially benefit from the CPU’s strong single-thread performance, but the GPU’s 19th percentile score would likely limit frame rates in demanding titles. For 1440p and 4K gaming, the GPU becomes the clear bottleneck, as its measured performance is far below what is needed for ultra settings at those resolutions. The data suggests this is not a target configuration for high-end gaming.

Content creators working with video editing and 3D rendering should target this build for the CPU. The i9-13900F’s Cinebench R23 multi-core score of 40928 and Geekbench multi-core score of 19680 make it a powerhouse for CPU-based rendering and encoding. The GPU’s 24 GB of VRAM is useful for holding large textures and preview buffers, but the low benchmark score means that GPU-accelerated rendering should be approached with caution.

Developers will find the CPU’s Passmark integer math score of 188022 and data compression score of 635147 useful for rapid compilation and binary manipulation. The support for DDR5 memory and PCIe Gen 5 with 20 lanes allows for fast storage and peripheral connectivity, making it a solid workstation for software development.

Students and small business workstations are not a good fit for this build due to the GPU’s low measured performance and the high TDP of both components. The CPU’s 65 W TDP is modest, but the GPU’s 415 W TDP requires significant cooling and power delivery, making it an expensive and inefficient system for office tasks. The data shows that a user would be paying for CPU performance they do not need and GPU performance they are not getting.

Balance and Bottleneck

The data clearly indicates that the GPU is the limiting factor in this build. The CPU’s 91st percentile ranking versus the GPU’s 19th percentile ranking creates a massive imbalance. In CPU-bound workloads like multi-threaded rendering and compilation, the i9-13900F will perform at its peak, as evidenced by its Cinebench R23 multi-core score of 40928. However, in GPU-bound workloads like gaming at high resolutions or GPU-accelerated rendering, the RTX 5080 SUPER’s measured score of 3075 will cap performance.

The FPS scaling is entirely dependent on the GPU, but since no measured FPS data exists, we can only estimate. For example, in a game that is well-optimized for multi-threading, the CPU’s 3dmark_16_threads score of 9957 would allow it to maintain high frame rates, but the GPU’s low percentile would likely drop frame rates to a level where the CPU’s advantage is wasted. Conversely, in a single-threaded game, the CPU’s 3dmark_single_thread score of 1145 is sufficient, but again, the GPU becomes the bottleneck. The percentiles show that any workload that relies on the GPU will see performance similar to a Quadro P1000, which is not suitable for modern gaming.

FAQ

Q: What is the CPU’s performance relative to its nearest rival?

A: The Intel Core i9-13900F has an average benchmark score of 51730, which is 0.4 percent lower than the AMD Ryzen 9 5950X, 0.7 percent lower than the Intel Core Ultra 5 235HX and AMD EPYC 8124P, and 0.8 percent higher than the Intel Core Ultra 9 285T.

Q: How does the GPU’s benchmark score compare to other cards?

A: The RTX 5080 SUPER’s average score of 3075 is 2.8 percent lower than the NVIDIA Quadro P1000, 3.4 percent lower than the Intel Arc Pro B60, and 3.1 percent and 3.6 percent higher than the GeForce 820A and GTX 860M, respectively.

Q: Does this build support overclocking?

A: The CPU has a locked multiplier, indicated by "multiplierUnlocked: false," so it cannot be overclocked. The GPU’s overclocking capability is not specified in the data.

Q: What is the power consumption of the components?

A: The CPU has a TDP of 65 W, and the GPU has a TDP of 415 W, requiring a robust power supply, though the suggested PSU is not specified.

Q: What memory types are supported by the CPU?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support enabled.

Q: What is the GPU’s memory bandwidth and capacity?

A: The GPU has 24 GB of GDDR7 memory on a 256-bit bus, providing a bandwidth of 1.02 TB/s.

Q: Is the gaming performance measured or estimated?

A: The data contains no measured FPS rows for this combination, so all gaming performance is estimated from the CPU and GPU benchmark scores.

Upgrade Path and Platform

The system is built on the Intel Socket 1700 platform, which supports the Raptor Lake architecture. The CPU supports DDR4 and DDR5 memory, meaning users can choose between the two types, but they must select a motherboard that matches their memory choice. The CPU provides PCIe Gen 5 with 20 lanes, which supports the GPU’s PCIe 5.0 x16 interface, ensuring full bandwidth for the RTX 5080 SUPER. The CPU’s TDP is 65 W, but the GPU’s TDP is 415 W, and while the suggested PSU is not specified, the combined power draw requires a high-wattage unit. The GPU uses a 1x 16-pin power connector and is a dual-slot card, measuring 304 mm in length.

A sensible next upgrade would be to replace the GPU, as the CPU is already a top-tier performer in the 91st percentile. The current GPU’s 19th percentile score is the primary bottleneck, so upgrading to a card with a higher benchmark score would balance the system. The CPU’s support for DDR5 memory allows for a future memory upgrade if the user is currently on DDR4. The platform is otherwise mature, with no indication of new CPU compatibility, so the focus should be on GPU and memory improvements to leverage the CPU’s existing strengths.

Build Overview

This is a desktop build that combines the Intel Core i9-13900F processor with the NVIDIA GeForce RTX 5080 SUPER graphics card. The CPU is a 24-core, 32-thread part based on the Raptor Lake architecture, with a base clock of 2000 MHz and a boost clock of 5.60 GHz. The GPU is a 50-series card with 24 GB of GDDR7 memory and a boost clock of 2617 MHz. The combined percentile for this build is 55, which reflects the CPU’s high performance and the GPU’s low measured performance. The overall tier is mid-pack, but this is misleading because the CPU is top-tier and the GPU is bottom-tier. The system is a desktop class, and its performance profile is heavily skewed toward CPU-centric workloads.

CPU Analysis

The Intel Core i9-13900F features 24 cores and 32 threads, based on the Raptor Lake architecture, built on a 10 nm process from Intel. It has a base clock of 2000 MHz and a boost clock of 5.60 GHz, with a TDP of 65 W. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. It supports DDR4 and DDR5 memory in a dual-channel configuration, with ECC support. The CPU is built on the Intel Socket 1700 platform and has a launch MSRP of $524.

The benchmark scores show a processor that excels in multi-threaded tasks. The Cinebench R23 multi-core score of 40928 and the Passmark multithread score of 49693 place it in the 91st percentile of all CPUs. The single-thread performance is also strong, with a Cinebench R23 single-core score of 5778 and a Geekbench single-core score of 2533. The Passmark integer math score of 188022 and floating point math score of 131007 indicate excellent computational throughput. The data compression score of 635147 and extended instructions score of 36525 show that it handles specific workloads like encryption and compression with ease. The CPU’s nearest rival, the AMD Ryzen 9 5950X, is only 0.4 percent faster on average, meaning this is a highly competitive part for any CPU-bound workload.

Gaming Performance

The FACT PACK contains no measured FPS data for this specific CPU+GPU combination, and the dataIsMeasured field is false. Therefore, all gaming performance figures are estimates based on the benchmark scores. The CPU’s 3dmark_single_thread score of 1145 and 3dmark_2_threads score of 2265 suggest it can handle game logic and physics calculations efficiently. The GPU’s 3DMark Steel Nomad DX12 score of 3075, however, places it in the 19th percentile, which is a very low position. This suggests that at 1080p with low settings, the GPU might be able to produce playable frame rates, but at 1440p or 4K with ultra settings, the frame rates would likely be low, possibly below 30 FPS in demanding titles. The nearest rival scores, such as the Quadro P1000, indicate that the GPU performs like a workstation card, not a gaming card. Consequently, the gaming experience would be CPU-bound at low resolutions and GPU-bound at higher resolutions, with the GPU being the primary limiter. Users expecting high-refresh gaming should look at the CPU’s strong performance, but they must temper expectations due to the GPU’s measured performance.

Rate My PC: Intel Core i9-13900F + NVIDIA GeForce RTX 5080 SUPER

Power Build

System Balance Analysis

Intel Core i9-13900F

NVIDIA GeForce RTX 5080 SUPER

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

Usage Scenarios

Benchmark Performance

GPU Analysis

Who Should Build It

Balance and Bottleneck

FAQ

Upgrade Path and Platform

Build Overview

CPU Analysis

Gaming Performance

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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