SYSTEM ANALYZER

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

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

79 / 100
HIGH-END

Power Build

Top 21% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
79%
VS
GPU
79%
PROCESSOR

Intel Core i9-13900E

8,676 Benchmark Score
Top 21% 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 i9-13900E and NVIDIA GeForce RTX 5080 SUPER form a desktop pairing that presents a stark contrast in benchmark positioning. The CPU sits at the 65th percentile among all processors, while the GPU rests at the 19th percentile among all graphics cards, resulting in a combined percentile of 42. This is a system where the processor is the clear performance anchor, and the graphics card, despite its modern architecture and substantial memory pool, appears to be the limiting factor in the data. This analysis will interpret the available benchmark scores to provide a practical overview of what this build can and cannot do, with the caveat that no measured FPS data exists for this exact combination.

Upgrade Path and Platform

The foundation of this build is the Intel Socket 1700 platform, which hosts the Core i9-13900E. This processor is part of the Raptor Lake-S generation, a 10 nm design from Intel. The platform supports both DDR4 and DDR5 memory through a dual-channel memory bus, offering builders flexibility in choosing memory modules based on availability and preference. The CPU also provides 16 PCIe Gen 5 lanes, which is the primary interface for the graphics card and high-speed storage. The integrated UHD Graphics 770 is present, providing a fallback display output if the discrete GPU is removed or malfunctioning.

The power delivery situation is notable. The CPU has a 65 W TDP, which is remarkably low for a 24-core processor and indicates a power-efficient SKU. However, the RTX 5080 SUPER has a 415 W TDP, which is substantial. The FACT PACK does not list a suggested PSU wattage, but the data shows a combined thermal requirement of 480 W from these two components alone. A sensible builder would need a power supply with enough headroom to handle the GPU's peak demands alongside the rest of the system, and the single 16-pin power connector on the GPU dictates the necessary PSU cable configuration.

In terms of a next upgrade, the data suggests the GPU is the primary bottleneck. The processor, at the 65th percentile, has significant headroom. A logical upgrade path would be to replace the RTX 5080 SUPER with a higher-performing GPU to better match the CPU's capabilities, particularly for gaming workloads. The CPU's 65 W TDP means it is unlikely to be the limiting factor in power delivery, and the platform's support for high-speed PCIe Gen 5 ensures that a newer GPU would not be bandwidth-starved. The memory support for both DDR4 and DDR5 means that a platform change would be required to move to a newer CPU generation, making a GPU upgrade the most sensible next step for improving system performance.

Gaming Performance

There is no measured FPS data for this specific CPU and GPU combination in the FACT PACK. Therefore, all gaming performance figures discussed here are estimates derived from the benchmark scores and should be treated as such. The data indicates a significant imbalance: the CPU's average benchmark score is 8676, placing it at the 65th percentile, while the GPU's average score is 3075, placing it at the 19th percentile. This suggests that in gaming workloads, the GPU will be the limiting factor in most scenarios.

Based on the GPU's specifications, including 24 GB of GDDR7 memory and a 1.02 TB/s bandwidth, it is positioned to handle high-resolution textures and memory-intensive workloads. However, its low percentile rank relative to other GPUs indicates that raw rasterization performance may be modest. The CPU's strong single-core performance, evidenced by a Cinebench R23 single-core score of 4834, is sufficient to feed most GPUs. The likely outcome is that at lower resolutions like 1080p, the CPU might be able to push high frame rates in less demanding titles, but the GPU will cap performance in graphically intensive games. At 1440p and 4K, the GPU will almost certainly be the primary constraint, with frame rates scaling according to the GPU's rendering capabilities rather than the CPU's potential. The data suggests that this system would be better suited for 1440p gaming with settings adjusted to match the GPU's performance tier, rather than expecting high-refresh-rate 4K gaming.

Balance and Bottleneck

The benchmark data paints a clear picture of system balance. The CPU is a high-performance part, scoring 34244 in Cinebench R23 multi-core, which places it comfortably above the 50th percentile. The GPU, however, scores only 3075 in 3DMark Steel Nomad DX12, placing it at the 19th percentile. This massive gap indicates a severe bottleneck in the graphics pipeline. The CPU is waiting on the GPU to complete rendering tasks in most graphics-intensive workloads.

Evidence from the nearest rivals reinforces this. The GPU's closest rival by average score is the NVIDIA Quadro P1000, which has a deltaPct of -2.8, meaning the RTX 5080 SUPER is only 2.8% faster. This is a professional-grade, low-power card, not a high-end gaming part. The CPU's nearest rivals, such as the Intel Core i7-8565U, are within 0.1% to 1.1% of its average score, indicating it is in a performance class with other mid-range mobile and desktop parts. This suggests that while the CPU is adequate for general computing and multi-threaded tasks, the GPU is severely underpowered relative to what a high-end desktop CPU would typically be paired with.

In gaming, the bottleneck will manifest as GPU limitation. The CPU can process game logic and physics quickly, but the GPU will struggle to render frames at a similar pace. In content creation workloads like video editing or 3D rendering, the bottleneck will be mixed. For tasks that rely heavily on the CPU, such as video encoding, the system will perform well. For tasks that rely on GPU acceleration, such as rendering in Blender or using CUDA-accelerated effects, the GPU will again be the limiting factor. The data suggests that this pairing is poorly balanced, with the CPU's capabilities far exceeding the GPU's.

Who Should Build It

This system configuration targets a specific niche: users who prioritize CPU-intensive workloads and have modest graphics requirements. The data suggests that it is not a gaming-focused build due to the GPU's low percentile ranking. The target user is likely a professional or hobbyist who needs strong multi-threaded performance for tasks like software compilation, data analysis, or running virtual machines, and who only needs basic 2D display output or light GPU acceleration.

For content creators, the CPU's 24 cores and 32 threads make it capable for video encoding and batch processing tasks. The GPU, with its 24 GB of VRAM, could be useful for large datasets in machine learning inference or for working with large textures in 3D modeling, but its overall compute performance is low. Game developers might use this for building and compiling game code, but they would need a much stronger GPU for testing graphics. Students in computer science or engineering fields would benefit from the CPU's performance for compiling code and running simulations, but the GPU is not suitable for modern gaming or GPU-based research. Small business workstations that run database servers or heavy spreadsheet calculations would find the CPU adequate, but the GPU provides no benefit for such tasks. The system is ultimately for someone who needs a powerful CPU and has a low-end GPU requirement that is easily met by this specific card.

Benchmark Performance

The CPU's benchmark results are robust. It achieves a Cinebench R23 multi-core score of 34244 and a single-core score of 4834. In Geekbench, it scores 8337 multi-core and 1646 single-core. These scores contribute to an average benchmark score of 8676, placing it at the 65th percentile against all CPUs. Its nearest rivals, the Intel Core i7-8565U and Intel Core i5-8365U, have average scores of 8665 and 8708, respectively, with deltaPct values of 0.1% and -0.4%. This indicates the i9-13900E is performing at a level comparable to these mid-range mobile processors in this aggregate metric, which is surprising given its core count but is a factor of the benchmark weighting used for the average score.

The GPU's benchmark data is sparse but telling. It has a single 3DMark Steel Nomad DX12 score of 3075, which is also its average benchmark score. This places it at the 19th percentile against all GPUs. Its nearest rival is the NVIDIA Quadro P1000, with an average score of 3163, making the RTX 5080 SUPER 2.8% slower. The Intel Arc Pro B60 is 3.4% faster. This data strongly suggests that the GPU is not performing at a level expected of a high-end desktop part. The combined picture is one of a high-performing CPU paired with a low-performing GPU, which is reflected in the combined percentile of 42. This system will excel in CPU-bound tasks but will be underwhelming in GPU-accelerated scenarios.

FAQ

Q: What is the CPU's core and thread count?

A: The Intel Core i9-13900E has 24 cores and 32 threads.

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

A: The NVIDIA GeForce RTX 5080 SUPER has 24 GB of GDDR7 memory and a bandwidth of 1.02 TB/s.

Q: How does the CPU compare to its nearest rival in average benchmark score?

A: The CPU's average benchmark score is 8676, which is 0.1% higher than the Intel Core i7-8565U's average score of 8665.

Q: What is the GPU's performance percentile relative to all GPUs?

A: The GPU is at the 19th percentile among all GPUs.

Q: Does this system support DDR5 memory?

A: Yes, the CPU supports both DDR4 and DDR5 memory through a dual-channel memory bus.

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

A: The combined percentile for this build is 42.

Q: What is the GPU's FP32 floating-point performance?

A: The GPU has an FP32 performance of 56.28 TFLOPS.

GPU Analysis

The NVIDIA GeForce RTX 5080 SUPER is a graphics card built on the Blackwell 2.0 architecture, fabricated on a 5 nm process at TSMC. The chip, designated GB203, contains 45,600 million transistors on a 378 mm² die. It features 10752 shading units, 336 texture mapping units, and 112 raster output units. For ray tracing and AI workloads, it has 84 RT cores and 336 tensor cores. The card is clocked at a base of 2295 MHz and a boost of 2617 MHz, with memory running at 2000 MHz (32 Gbps effective). The 24 GB of GDDR7 memory is connected via a 256-bit bus, providing a bandwidth of 1.02 TB/s. The card's pixel rate is 293.1 GPixel/s, and its texture rate is 879.3 GTexel/s. It supports PCIe 5.0 x16 and has a TDP of 415 W.

Despite these high-end specifications on paper, the benchmark data tells a different story. The 3DMark Steel Nomad DX12 score of 3075 places the card at the 19th percentile, indicating that its real-world performance is significantly lower than what its component specifications might suggest. The nearest rival is the NVIDIA Quadro P1000, which is a low-power professional card. This suggests that the RTX 5080 SUPER might be severely throttled or that the benchmark score is not representative of typical gaming performance. In rendering workloads, the 24 GB of VRAM is a significant asset for holding large scenes and textures, but the low compute performance, as indicated by the 56.28 TFLOPS FP32, will limit rendering speed. The card is likely to be a bottleneck in any GPU-accelerated task, including gaming and rendering, despite its modern feature set.

Build Overview

This is a desktop build combining an Intel Core i9-13900E processor with an NVIDIA GeForce RTX 5080 SUPER graphics card. The CPU is a 24-core Raptor Lake-S part designed for the Socket 1700 platform with a 65 W TDP. The GPU is a Blackwell 2.0 architecture card with a 415 W TDP and 24 GB of GDDR7 memory. The data shows a significant performance gap between the two components: the CPU is at the 65th percentile, while the GPU is at the 19th percentile. This results in a combined percentile of 42, which places the overall system in the lower-middle tier of performance relative to other possible pairings. The system is not balanced, as the CPU's capabilities are far ahead of the GPU's, meaning the graphics card will be the limiting factor in most applications that utilize it. This is a CPU-centric build where the GPU is a secondary component.

CPU Analysis

The Intel Core i9-13900E is a 24-core, 32-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-S codename. It is manufactured on Intel's 10 nm process with a die size of 257 mm². The CPU has a base clock of 1800 MHz and a boost clock of 5200 MHz. The cache hierarchy includes 80 KB of L1 cache per core, 2 MB of L2 cache per core, and a shared 36 MB of L3 cache. It supports ECC memory and has an integrated UHD Graphics 770. The processor is not multiplier-unlocked and has a TDP of 65 W, which is low for this core count.

In benchmark tests, the CPU performs strongly in multi-threaded workloads. Its Cinebench R23 multi-core score of 34244 demonstrates its capability in rendering and compression tasks. The single-core score of 4834 is also solid, indicating good performance in everyday tasks and lightly-threaded applications. The Geekbench scores of 8337 multi-core and 1646 single-core are consistent with this picture. The average benchmark score of 8676 places it at the 65th percentile, which is respectable. However, its nearest rivals are mobile processors like the Core i7-8565U and Core i5-8365U, suggesting that the aggregate score is pulled down by the inclusion of the single-core tests where this desktop i9 does not have a massive advantage. For real workloads, the data indicates that this CPU is a workhorse for multi-threaded tasks, providing high throughput for video editing, 3D rendering, and software compilation. Its low TDP makes it a power-efficient choice, but the performance is clearly there when needed.