SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900 + 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

95%

GPU

79%

PROCESSOR

Intel Core i9-13900

60,676 Benchmark Score

Top 5% 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 i9-13900 and NVIDIA GeForce RTX 5080 SUPER form a desktop pairing that combines a high-core-count 13th-generation processor with a current-generation Blackwell GPU. The data positions this build in the 56th percentile overall, with the CPU performing in the 92nd percentile against all processors, while the GPU’s lone benchmark places it in the 19th percentile against all graphics cards. This discrepancy between component percentiles is the central tension of this configuration, and the benchmark results indicate a system whose CPU is far ahead of its GPU in relative standing, shaping every workload discussion that follows.

Upgrade Path and Platform

The foundation of this build is the Intel Socket 1700 platform, which hosts the Raptor Lake-S architecture on a 10 nm process node. The Core i9-13900 uses a dual-channel memory controller that supports both DDR4 and DDR5 modules, giving builders flexibility in choosing memory technology, though the exact bandwidth figures are not provided. ECC memory support is present, a feature that typically appeals to workstation users who require data integrity over raw speed. The CPU provides Gen 5 PCIe with 16 lanes from the processor, while the GPU connects via a PCIe 5.0 x16 interface, ensuring the graphics card has access to the full bandwidth of the current interconnect standard.

The CPU carries a 65 W TDP, which is notably modest for a 24-core processor, and this low thermal design power suggests that a capable air cooler or a modest liquid cooler would suffice for most workloads. The GPU, however, draws significantly more power with a 415 W TDP, and it requires a single 16-pin power connector. The suggested PSU field is empty in the data, so the exact wattage recommendation is unknown, but the combination of a 65 W CPU and a 415 W GPU implies that the power supply headroom is dominated entirely by the graphics card. A sensible next upgrade for this platform would be a higher-core-count Raptor Lake processor, though the socket is limited to 13th-generation parts, and the DDR5 memory path offers headroom for capacity or speed increases without changing the motherboard. The dual-slot GPU dimensions of 304 mm in length and 137 mm in height should fit in most mid-tower cases, but builders should verify clearance against their specific chassis.

Balance and Bottleneck

The benchmark data reveals a pronounced imbalance between the two components. The CPU sits in the 92nd percentile of all CPUs, with an average benchmark score of 60676, while the GPU’s average score is 3075, placing it in the 19th percentile of all GPUs. This gap suggests that in CPU-bound workloads, the processor will rarely be the limiting factor, whereas in graphics-intensive tasks, the GPU will almost certainly be the constraint. The combined percentile of 56 reflects this averaging out, but it masks the fact that the CPU is a top-tier part while the GPU is a mid-range performer by relative standing.

For gaming at lower resolutions where CPU load is higher, the i9-13900’s multi-core and single-core scores — a Cinebench R23 multi-core score of 37931 and a single-core score of 5355 — indicate that the processor can feed frames rapidly, but the GPU’s relatively low percentile will cap the frame rate well before the CPU becomes a bottleneck. Conversely, in productivity tasks like data compression or encryption, where the PassMark data compression score is 577285 and encryption is 35242, the GPU plays a minimal role, and the CPU’s 24 cores and 32 threads will dominate the workload. The data shows a system where the CPU is never the weak link, and the GPU is the primary limiter for any graphics-heavy application. The 1.02 TB/s memory bandwidth of the GPU is substantial, but the low benchmark percentile suggests that raw bandwidth does not translate into high relative performance in the single test measured.

Benchmark Performance

The CPU delivers strong absolute numbers across multiple benchmark suites. In Cinebench R15, it scores 3823 in multi-core and 539 in single-core. Moving to Cinebench R20, the scores are 15931 multi-core and 2249 single-core. The R23 results are 37931 multi-core and 5355 single-core. Geekbench shows 21164 multi-core and 2604 single-core. The PassMark suite adds further detail: multithread score of 45680, single-thread of 4309, floating point math at 120492, integer math at 176107, and physics at 2484. The CPU’s average benchmark score of 60676 places it in the 92nd percentile, and its nearest rivals are all within a narrow band — the Intel Xeon Gold 6338T trails by 0.2%, the AMD Ryzen 7 8745HX by 1%, the AMD Ryzen 9 7945HX by 1%, and the Intel Core i9-14900F by 1.1%. This clustering indicates that the i9-13900 is essentially at parity with the best available alternatives, with no meaningful performance gap in either direction.

The GPU’s benchmark data is sparse, with only a single 3DMark Steel Nomad DX12 score of 3075. This places the GPU in the 19th percentile of all GPUs, and its nearest rivals are the NVIDIA Quadro P1000, which scores 3163 and is 2.8% faster, the Intel Arc Pro B60 at 3182 and 3.4% faster, the NVIDIA GeForce 820A at 2983 and 3.1% slower, and the NVIDIA GeForce GTX 860M at 2967 and 3.6% slower. The GPU’s average benchmark score is 3075, identical to its single test result. The combined picture is of a CPU that outperforms nearly all competitors and a GPU that sits below the median, making the overall system’s 56th percentile a direct consequence of the GPU dragging down the CPU’s high standing.

Who Should Build It

The target users for this build are those who prioritize CPU-heavy workloads while needing a functional but not top-tier GPU. Content creators who work with video encoding, 3D rendering, or software compilation will find the i9-13900’s multi-core performance — evidenced by the 37931 Cinebench R23 score and the 45680 PassMark multithread score — to be a significant asset. Software developers compiling large codebases will benefit from the 24 cores and 32 threads, and the PassMark integer math score of 176107 indicates strong performance in logic-heavy tasks. Students in engineering or data science fields who run simulations or data analysis will see the CPU’s 92nd percentile standing translate into quick turnaround times for compute-bound jobs.

Small business workstations that handle database operations or financial modeling will appreciate the ECC memory support and the data compression score of 577285. However, gamers should be cautious: the GPU’s 19th percentile ranking means that this is not a high-end gaming machine, and those seeking maximum frame rates should look elsewhere. The build is better suited to a professional who occasionally games than to a dedicated gamer who occasionally works. The 65 W CPU TDP also makes this an attractive option for compact workstation builds where heat output is a concern, though the GPU’s 415 W TDP means the overall system still requires substantial cooling and power delivery.

Usage Scenarios

For high-refresh gaming, the data does not support a positive verdict. The GPU’s 19th percentile and its nearest rivals including the GTX 860M suggest that frame rates will be modest, and the CPU’s high single-core score of 5355 in Cinebench R23 cannot compensate for the GPU’s limited graphics throughput. This is a 1080p or 1440p gaming setup at medium settings, not a high-refresh 4K machine.

Streaming presents a mixed picture. The CPU’s 24 cores provide ample headroom for encoding video while gaming, and the PassMark floating point math score of 120492 indicates strong compute for x264 encoding. However, the GPU’s low benchmark scores mean that the game itself will run at lower frame rates, making the stream quality good but the gameplay experience subpar.

Video editing in applications like Premiere Pro or DaVinci Resolve will see the CPU excel in timeline scrubbing and export rendering, with the 37931 Cinebench R23 multi-core score providing substantial muscle. The GPU can assist with effects and color grading, but its relative performance is a limitation for GPU-accelerated effects-heavy timelines.

3D rendering in Blender or similar software will be CPU-dominated, and the 24-core processor will handle complex scenes with ease. The GPU’s 56.28 TFLOPS of FP32 performance is respectable on paper, but the low benchmark percentile suggests that render times with GPU acceleration may not be competitive with higher-ranked cards.

Software development benefits hugely from the CPU. Compilation times will be short thanks to the multithreaded PassMark score of 45680, and the 36 MB of shared L3 cache reduces memory latency for frequent code access. The GPU is largely irrelevant for this workload.

Student and office work is overkill for this hardware. The CPU’s power is wasted on word processing and spreadsheets, and the GPU’s performance is more than adequate for basic display output. The build is far more capable than needed, making it a poor cost-to-performance choice for this scenario.

GPU Analysis

The NVIDIA GeForce RTX 5080 SUPER is built on the Blackwell 2.0 architecture using the GB203 chip, fabricated by TSMC on a 5 nm process with 45,600 million transistors on a 378 mm² die. The memory subsystem consists of 24 GB of GDDR7 on a 256-bit bus, delivering 1.02 TB/s of bandwidth, with a memory clock of 2000 MHz or 32 Gbps effective. The GPU has 10752 shading units, 336 texture mapping units, and 112 raster output units, along with 84 RT cores and 336 tensor cores. The base clock is 2295 MHz with a boost clock of 2617 MHz, producing a pixel rate of 293.1 GPixel/s and a texture rate of 879.3 GTexel/s. The FP32 and FP16 performance are both rated at 56.28 TFLOPS, with a 1:1 ratio.

The 3DMark Steel Nomad DX12 score of 3075, however, tells a different story than the specifications suggest. This score places the GPU in the 19th percentile, and its nearest rivals are older or lower-tier parts like the Quadro P1000 and GTX 860M. The 24 GB of VRAM is a generous amount for content creation and AI workloads, but the benchmark indicates that raw graphics throughput is not competitive with other GPUs in this class. The RT cores and tensor cores are present, but without additional benchmark data, their real-world impact is unclear. The 1.02 TB/s bandwidth is substantial, but the low percentile implies that memory bandwidth alone does not drive performance. For rendering, the GPU can handle large textures and datasets due to the 24 GB VRAM, but the compute throughput will be a limiting factor in GPU-accelerated renderers.

FAQ

Q: What is the CPU’s percentile ranking against all processors?

A: The Intel Core i9-13900 is in the 92nd percentile of all CPUs, with an average benchmark score of 60676.

Q: How does the GPU compare to its nearest rivals?

A: The RTX 5080 SUPER scores 3075 in 3DMark Steel Nomad DX12, placing it 2.8% behind the Quadro P1000, 3.4% behind the Intel Arc Pro B60, 3.1% ahead of the GeForce 820A, and 3.6% ahead of the GTX 860M.

Q: What memory types does the CPU support?

A: The Core i9-13900 supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support available.

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

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

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

A: The combined percentile for this desktop build is 56, reflecting the CPU’s high standing and the GPU’s lower relative performance.

Q: Does the CPU have an unlocked multiplier?

A: No, the multiplier is locked, meaning overclocking is not supported through the multiplier.

Q: What is the process node for each component?

A: The CPU is fabricated on Intel’s 10 nm process, while the GPU uses TSMC’s 5 nm process.

Build Overview

This is a desktop build pairing the Intel Core i9-13900 with the NVIDIA GeForce RTX 5080 SUPER. The CPU is a 24-core, 32-thread processor from the Raptor Lake generation, released in January 2023 with a launch MSRP of $549. The GPU is a Blackwell 2.0 architecture card with 24 GB of GDDR7 memory, released at the end of December 2025 with a launch MSRP of 999 USD. The overall tier from the percentiles is mid-range, with a combined percentile of 56, but this masks a stark contrast: the CPU is a top-8% part, while the GPU sits in the bottom 20% of all graphics cards. The build is fundamentally a workstation-class CPU paired with a mid-range GPU, which makes it a lopsided configuration for any single use case.

CPU Analysis

The Intel Core i9-13900 is a 24-core, 32-thread processor based on the Raptor Lake-S architecture, built on Intel’s 10 nm process with a die size of 257 mm². The base clock is 2000 MHz with a boost clock of 5.60 GHz, and it has 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. The CPU supports DDR4 and DDR5 memory over a dual-channel bus, with ECC memory support, and provides Gen 5 PCIe with 16 lanes from the processor. Integrated graphics are handled by the UHD Graphics 770.

The benchmark scores show a processor that excels in both single-threaded and multi-threaded workloads. The Cinebench R23 single-core score of 5355 indicates strong per-core performance, which is critical for legacy applications and lightly-threaded games. The multi-core score of 37931 demonstrates that the 24 cores scale well under heavy parallel loads. The Geekbench scores of 2604 single-core and 21164 multi-core corroborate this pattern. The PassMark tests provide further insight: floating point math at 120492 and integer math at 176107 show balanced compute across different instruction types, while the data compression score of 577285 and encryption score of 35242 indicate strong performance in data-centric tasks. The extended instructions score of 32760 suggests good SIMD throughput. The 92nd percentile ranking places this CPU firmly in the enthusiast class, and its nearest rivals are all within 1.1% in average score, meaning there is no meaningful performance gap to its direct competitors.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact combination of the Intel Core i9-13900 and the NVIDIA GeForce RTX 5080 SUPER. Therefore, all gaming performance figures presented here are estimates derived from the benchmark scores, not from direct measurement.

Based on the GPU’s 3DMark Steel Nomad DX12 score of 3075 and its 19th percentile ranking, gaming performance is expected to be modest by current standards. The GPU’s nearest rivals include the GTX 860M and the GeForce 820A, which are older, lower-tier parts, strongly suggesting that this GPU is not designed for high-end gaming. At 1080p, the CPU’s strong single-core performance of 5355 in Cinebench R23 will ensure that the processor is never the bottleneck, but the GPU will limit frame rates to the mid-range tier. At 1440p, the GPU’s load increases, and the frame rate will drop further. At 4K, the GPU’s 1.02 TB/s bandwidth and 24 GB of VRAM are sufficient for texture storage, but the raw compute throughput is insufficient for high refresh rates. The CPU could easily drive a more powerful GPU, but with this graphics card, gamers should expect playable but not competitive frame rates at mainstream resolutions, with settings likely needing to be turned down to achieve smooth gameplay. The data does not support high-refresh or ultra-settings gaming for this pairing.

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

Power Build

System Balance Analysis

Intel Core i9-13900

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

Upgrade Path and Platform

Balance and Bottleneck

Benchmark Performance

Who Should Build It

Usage Scenarios

GPU Analysis

FAQ

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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