SYSTEM ANALYZER

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

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
96%
VS
GPU
96%
PROCESSOR

Intel Core i9-13900KF

61,841 Benchmark Score
Top 4% 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

# FAQ

Q: What are the core and thread counts of the Intel Core i9-13900KF, and what does that mean for parallel workloads?

A: The CPU has 24 cores and 32 threads. In the PassMark multithread test, it scores 57,729, and in Cinebench R23 multi-core it reaches 48,855 points, indicating very strong parallel throughput for tasks like rendering or compilation.

Q: How does the i9-13900KF compare to its closest rival, the Intel Core i9-13900K?

A: The average benchmark score of the i9-13900KF is 61,841, which is just 0.1% higher than the i9-13900K's average of 61,766. The data shows no meaningful performance difference between the two.

Q: What is the memory and PCIe support of the i9-13900KF?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration. It also provides PCIe Gen 5 with 20 lanes from the CPU itself, which is suitable for high-bandwidth storage or a flagship GPU.

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

A: The NVIDIA GeForce RTX 4080 SUPER comes with 16 GB of GDDR6X memory on a 256-bit bus, delivering a bandwidth of 736.3 GB/s. The memory clock is listed as 1438 MHz with 23 Gbps effective speed.

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

A: The build has a combined percentile of 90, meaning it outperforms 90% of all recorded system configurations in the benchmark database.

Q: Are there any measured FPS figures for this specific combination?

A: No. The FACT PACK contains no measured FPS data for this exact pairing. All gaming performance statements in this analysis are estimates based on the individual CPU and GPU benchmark scores.

Q: What is the suggested power supply wattage for this build?

A: The suggested PSU for the RTX 4080 SUPER is 700 W. The CPU has a TDP of 125 W, so the combined power draw is substantial but within the range of a high-wattage unit.

# Gaming Performance

The FACT PACK contains no measured FPS rows for the Intel Core i9-13900KF + NVIDIA GeForce RTX 4080 SUPER combination. Therefore, all frame rate figures discussed here are estimates derived from the individual benchmark scores of the CPU and GPU, not direct measurements.

The RTX 4080 SUPER demonstrates strong raw compute performance that translates to high frame rates in most scenarios. Its PassMark G3D score of 34,245 and 3DMark Steel Nomad DX12 score of 6,600 indicate excellent rasterization throughput. For 1440p and 4K gaming, the GPU's 16 GB VRAM and 736.3 GB/s bandwidth are sufficient for high-resolution textures and demanding effects. The CPU's single-thread performance, with a Cinebench R23 single-core score of 6,897 and a 3DMark single-thread score of 1,188, helps maintain high minimum frame rates in CPU-bound titles.

At 1080p, the i9-13900KF's strong single-thread performance becomes the primary driver for frame rates, especially in esports titles where CPU bottlenecks often occur. The 24-core processor with a boost clock of 5.80 GHz should keep frame times consistently low. Moving to 1440p and 4K, the GPU becomes the limiting factor more often, and the RTX 4080 SUPER's 52.22 TFLOPS of FP32 compute is well-positioned to handle these resolutions with high settings. Since the data is estimated, users should expect high but not absolute maximum frame rates in the most demanding titles.

# Upgrade Path and Platform

The Intel Core i9-13900KF uses the Intel Socket 1700 platform with the Raptor Lake architecture. This socket also supports earlier 12th Gen processors, but the 13th Gen represents the last generation for this platform, meaning future CPU upgrades would require a new motherboard. The CPU's memory support for both DDR4 and DDR5 gives builders flexibility in choosing memory modules, though the dual-channel memory bus limits total bandwidth compared to workstation platforms.

The CPU provides 20 PCIe Gen 5 lanes, which is sufficient for a single high-end GPU and fast NVMe storage. The RTX 4080 SUPER, however, uses a PCIe 4.0 x16 interface, so the Gen 5 lanes are backward-compatible but not fully utilized by this GPU. For storage, a Gen 5 NVMe drive could take advantage of the extra bandwidth, but the practical benefit over Gen 4 is limited for most workloads.

A sensible next upgrade for this platform would be adding more RAM, as the memory controller supports both DDR4 and DDR5, allowing for capacity expansion without replacing the motherboard. The power delivery is also not a bottleneck, as the suggested PSU of 700 W leaves headroom for additional drives or peripherals, though the GPU's 320 W TDP and CPU's 125 W TDP are near the recommended limit. For future GPU upgrades, a newer PCIe 5.0 graphics card would be compatible with the CPU's lanes but would likely require a PSU upgrade.

# Balance and Bottleneck

The data shows a well-balanced pairing for most workloads. The CPU's average benchmark score of 61,841 and the GPU's average of 54,209 place both components in the upper tier of their respective categories, with the CPU at the 93rd percentile and the GPU at the 86th percentile. In gaming, the balance shifts based on resolution. At 1080p, the CPU's single-thread scores, such as 6,897 in Cinebench R23 single-core and 1,188 in 3DMark single-thread, are high enough to push frame rates, but the GPU may still be the primary limiter in modern titles.

For multi-threaded workloads like video editing or 3D rendering, the CPU's 24 cores and 32 threads provide substantial compute, but the GPU's compute capabilities—evidenced by its PassMark GPU Compute score of 19,822 and Geekbench OpenCL score of 219,065—mean that GPU-accelerated tasks will often outpace the CPU. The bottleneck in such scenarios is likely the CPU, as it handles geometry and scene management while the GPU renders frames.

In CPU-bound tasks like data compression, the i9-13900KF scores 786,218 in PassMark data compression, which is far ahead of typical workloads. The GPU does not contribute here. Conversely, in tasks like floating-point math, the CPU scores 150,869, but the GPU's FP32 throughput is orders of magnitude higher, making the GPU the clear choice for compute-heavy operations. The overall balance is that neither component severely limits the other in mixed workloads, but dedicated tasks will favor one side.

# Benchmark Performance

The Intel Core i9-13900KF achieves strong benchmark results across multiple suites. In Cinebench R23, the multi-core score is 48,855 and the single-core score is 6,897. The Geekbench multi-core score is 22,486, with a single-core score of 2,668. The 3DMark multi-thread scores scale well from 2,353 (2 threads) to 15,405 (max threads), showing consistent scaling. The PassMark multithread score is 57,729, and the single-thread score is 4,584. The CPU's average benchmark score is 61,841, placing it in the 93rd percentile of all CPUs.

The NVIDIA GeForce RTX 4080 SUPER has a 3DMark Steel Nomad DX12 score of 6,600, and in Geekbench it scores 219,065 in OpenCL and 260,075 in Vulkan. The PassMark G3D score is 34,245, while the GPU compute score is 19,822. Its average benchmark score is 54,209, placing it in the 86th percentile of all GPUs. The GPU's nearest rival, the RTX 4080, has an average score of 54,247, which is just 0.1% higher, indicating that the SUPER variant offers nearly identical raw performance.

Combined, the CPU and GPU produce a system with a 90th percentile overall rating. The CPU outperforms the Intel Core Ultra 7 270HX Plus by 0% in average score, and the Intel Xeon 636 by 0.8%, showing that the i9-13900KF is essentially at the top of its immediate competition. The GPU trails the AMD Radeon RX 6750 GRE 12 GB by 2.7% in average score, but this is within a narrow margin and does not reflect real-world gaming differences.

# Who Should Build It

This desktop build targets users who need both high-end gaming and serious compute performance. Gamers at 1440p and 4K resolutions will benefit from the RTX 4080 SUPER's 16 GB VRAM and high bandwidth, which handle large textures and high detail settings. The i9-13900KF's single-thread scores of 6,897 in Cinebench R23 and 1,188 in 3DMark ensure that even CPU-heavy game logic runs smoothly.

Content creators working with video editing software will find the CPU's 24 cores useful for timeline scrubbing and rendering, while the GPU accelerates effects and exports via its 52.22 TFLOPS of FP32 compute. 3D artists and animators can leverage the GPU's 80 RT cores for ray tracing in rendering software, and the CPU handles simulation and caching tasks. Software developers compiling large codebases will appreciate the PassMark data compression score of 786,218 and the multithread score of 57,729, which speed up build times.

Students in engineering or computer science fields can run virtual machines, compile code, and use CUDA-based libraries on the GPU's 320 tensor cores. Small business workstations handling data analysis or machine learning inference would benefit from the GPU's compute capabilities, though the high power requirements and end-of-life status of the GPU may be a consideration.

# GPU Analysis

The NVIDIA GeForce RTX 4080 SUPER is built on the Ada Lovelace architecture using a 5 nm process from TSMC. It has 16 GB of GDDR6X memory on a 256-bit bus, providing a bandwidth of 736.3 GB/s. The base clock is 2295 MHz, with a boost clock of 2550 MHz, and memory runs at 1438 MHz with 23 Gbps effective speed. The GPU has 10,240 shading units, 320 texture mapping units, and 112 raster operation units. For ray tracing, it includes 80 RT cores, and for AI workloads, it has 320 tensor cores.

The pixel rate is 285.6 GPixel/s, and the texture rate is 816.0 GTexel/s, indicating strong fill rates for high-resolution rendering. The FP32 compute is 52.22 TFLOPS, with FP16 at the same level (1:1 ratio), which is unusual and suggests that the GPU can handle both precision levels at similar speeds. The 3DMark Steel Nomad DX12 score of 6,600 places the GPU in a high tier, but its PassMark DirectX 12 score of 134 is lower than the DirectX 11 score of 301, which may indicate driver optimization differences. The Geekbench Vulkan score of 260,075 is higher than the OpenCL score of 219,065, showing strong Vulkan API support.

For rendering tasks, the 16 GB VRAM is sufficient for most projects, and the bandwidth supports large texture sets. The RT cores accelerate ray tracing, but the end-of-life production status means that future driver optimizations may be limited. The successor, GeForce 50 series, already exists, but the RTX 4080 SUPER remains a capable GPU for current workloads.

# Build Overview

This is a desktop-class build combining the Intel Core i9-13900KF, a 24-core Raptor Lake processor, with the NVIDIA GeForce RTX 4080 SUPER, an Ada Lovelace GPU. The combined percentile is 90, placing the system in the top 10% of all recorded configurations. The CPU has a TDP of 125 W, and the GPU has a TDP of 320 W, suggesting a total power draw that requires a 700 W PSU as recommended.

The CPU's average benchmark score is 61,841, and the GPU's is 54,209, both being high for their categories. The build is positioned as a high-end desktop for gaming and creation, with the CPU providing strong multi-threaded performance and the GPU offering excellent rasterization and compute throughput. The launch MSRP for the CPU is $564, and for the GPU it is 999 USD, though no current pricing is available. The system's overall tier is near the top, but it is not the absolute fastest, as some rival components exceed its scores by small margins.

# CPU Analysis

The Intel Core i9-13900KF is a 24-core, 32-thread processor from the Raptor Lake architecture, built on a 10 nm process at Intel. It has a base clock of 3.00 GHz and a boost clock of 5.80 GHz, with a TDP of 125 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 die size is 257 mm², and it supports ECC memory, which is uncommon for consumer desktop CPUs.

The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, and it provides PCIe Gen 5 with 20 lanes from the CPU. It has no integrated graphics, so a discrete GPU is required. The multiplier is unlocked, allowing overclocking. It uses the Intel Socket 1700, and its production status is Active, with a release date of 2022-09-26.

Benchmark scores show strong multi-threaded performance: Cinebench R20 multi-core is 20,519, and R15 multi-core is 4,924. The single-core scores are also high, with Cinebench R23 single-core at 6,897. The PassMark integer math score is 206,859, and floating-point math is 150,869, indicating solid arithmetic throughput. The extended instructions score of 46,084 and data encryption score of 46,186 suggest good performance in cryptography and SIMD workloads. The CPU's single-thread score of 4,584 in PassMark is competitive, but the 3DMark single-thread score of 1,188 is relatively modest compared to its multi-thread results.

The CPU's nearest rival, the Intel Core Ultra 7 270HX Plus, has an identical average score of 61,834, showing that the i9-13900KF is still relevant. The Xeon 636 is just 0.8% behind, which is surprising for a server chip. The 93rd percentile ranking confirms that this CPU is near the top of the database.

# Usage Scenarios

High-refresh gaming: At 1080p, the i9-13900KF's boost clock of 5.80 GHz and single-thread score of 6,897 in Cinebench R23 ensure that frame rates are not CPU-limited in most titles. The RTX 4080 SUPER's 52.22 TFLOPS of compute can push high frame rates, but the lack of measured FPS data means these are estimates. At 1440p and 4K, the GPU becomes the primary driver, and its 16 GB VRAM supports high textures.

Streaming: The CPU's 24 cores handle encoding at high bitrates without impacting gaming performance, while the GPU's NVENC (not explicitly listed but implied by Ada Lovelace) can offload encoding. The combined scores suggest a smooth streaming experience, but the GPU's end-of-life status may limit future codec support.

Video editing: The CPU's Cinebench R23 multi-core score of 48,855 accelerates timeline rendering, while the GPU's Geekbench OpenCL score of 219,065 speeds up effects. The 16 GB VRAM is ample for 4K video projects, and the 736.3 GB/s bandwidth handles large frame buffers.

3D rendering: The CPU's 32 threads and 36 MB L3 cache handle scene complexity, while the GPU's 80 RT cores and 320 tensor cores accelerate ray tracing and denoising. The FP32 compute is 52.22 TFLOPS, which is high for GPU rendering, but the PassMark GPU compute score of 19,822 suggests that some workloads may not fully utilize the hardware.

Software development: The CPU's PassMark data compression score of 786,218 speeds up build systems and package managers. The multithread score of 57,729 helps with parallel compilation. The GPU can accelerate machine learning training via its tensor cores, but the CPU's single-thread score of 4,584 in PassMark is adequate for most developer tools.

Student and office work: For general productivity, the CPU's single-thread performance is more than sufficient, and the GPU is overkill for office applications. The ECC memory support (if paired with compatible RAM) improves stability for long-running calculations. The high power draw and triple-slot GPU may be impractical for small desks, but the performance is unmatched for heavy multitasking.