SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KF + NVIDIA GeForce RTX 5070 SUPER

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

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
96%
VS
GPU
79%
PROCESSOR

Intel Core i9-13900KF

61,841 Benchmark Score
Top 4% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5070 SUPER

2,690 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 i9-13900KF and NVIDIA GeForce RTX 5070 SUPER pairing is a study in contrasts, combining a top-tier 24-core desktop processor with a GPU whose benchmark data places it in a surprisingly low percentile bracket. The CPU is a powerhouse, while the GPU presents a data anomaly that warrants careful investigation. This analysis examines the platform, performance metrics, and balanced workload characteristics of this specific desktop configuration.

Upgrade Path and Platform

The foundation of this build is the Intel Socket 1700 platform, home to the 13th-generation Raptor Lake architecture. The Core i9-13900KF utilizes this socket and is built on Intel's 10 nm process node, featuring a die size of 257 mm². The platform supports both DDR4 and DDR5 memory through a dual-channel memory bus, offering builders flexibility in choosing between established and newer memory standards. The CPU also supports ECC memory, a feature that can be critical for workstation reliability and data integrity in professional environments.

The processor provides 20 PCIe Gen 5 lanes from the CPU itself, enabling high-bandwidth connectivity for the latest graphics cards and NVMe storage devices. The GPU in this pairing, the RTX 5070 SUPER, is designed for a PCIe 5.0 x16 interface, which aligns perfectly with the CPU's capabilities, ensuring the graphics card can communicate with the processor at full bandwidth without interface bottlenecks.

Power delivery is a key consideration for this platform. The CPU has a thermal design power (TDP) of 125 W, while the GPU lists a TDP of 275 W. The GPU requires a single 16-pin power connector. While the fact pack does not list a suggested PSU wattage, the combined thermal requirements of these two components are substantial, indicating that a robust power supply with ample headroom on the 12V rail is necessary for stable operation under sustained loads. The data suggests a high-capacity PSU is a mandatory component for this pairing.

For a sensible next upgrade, the data points to the CPU as the long-term keeper. With a boost clock of 5.80 GHz and 32 threads, the i9-13900KF is positioned to remain relevant for years. The GPU, however, with its low benchmark percentile, is the component most likely to be upgraded first to improve gaming or rendering performance. A user could replace the RTX 5070 SUPER with a higher-performing GPU in the future without needing to change the motherboard or CPU, making the platform's longevity a strong point.

FAQ

Q: What is the performance class of the Intel Core i9-13900KF?

A: The i9-13900KF is a high-end desktop processor, holding an average benchmark score of 61841. This places it in the 93rd percentile of all CPUs, indicating it outperforms the vast majority of processors in the database.

Q: How does the i9-13900KF compare to its closest rivals?

A: The data shows it is effectively tied with the Intel Core Ultra 7 270HX Plus, which has a deltaPct of 0. It is 0.1% ahead of the Intel Core i9-13900K and 0.2% ahead of the Intel Core i9-13900T. These differences are negligible in real-world terms.

Q: What kind of memory does this platform support?

A: The Intel Socket 1700 platform supports both DDR4 and DDR5 memory types, operating on a dual-channel memory bus. This provides flexibility, allowing users to choose between the more affordable DDR4 or the faster DDR5 standard.

Q: What is the core and thread configuration of the i9-13900KF?

A: The processor features 24 cores and 32 threads. It has an 80 KB L1 cache per core, a 2 MB L2 cache per core, and a substantial 36 MB shared L3 cache.

Q: What is the benchmark score for the NVIDIA GeForce RTX 5070 SUPER?

A: The GPU has a single recorded benchmark score of 2690 in the 3dmark_steel_nomad_dx12 test. This score places it in the 18th percentile of all GPUs, which is notably low.

Q: What is the memory configuration of the RTX 5070 SUPER?

A: The GPU comes with 18 GB of GDDR7 memory on a 192-bit bus, providing a memory bandwidth of 672.0 GB/s. The memory clock is listed as 1750 MHz, with an effective data rate of 28 Gbps.

Q: Does the i9-13900KF have integrated graphics?

A: No, the "KF" suffix indicates that this processor does not have integrated graphics. A discrete GPU, such as the RTX 5070 SUPER in this build, is required for any video output.

Gaming Performance

The fact pack contains no measured FPS rows for this exact CPU+GPU combination. The dataIsMeasured field is false, confirming that all gaming performance figures are estimates. Therefore, any FPS discussion is framed as an expectation based on the individual component benchmark scores rather than empirical testing.

The gaming potential of this build is heavily bifurcated. The CPU's performance is exceptional. Its 93rd percentile ranking, coupled with a single-thread score of 1188 in 3dmark and 4584 in PassMark, suggests it can handle the most demanding game engines and maintain high frame rates in CPU-bound scenarios. The multi-threaded might, evidenced by a 15405 score in 3dmark_max_threads and 48855 in Cinebench R23 multicore, ensures smooth performance even when games utilize many cores or when background tasks are running.

The GPU, however, presents a significant concern. Its 18th percentile ranking places it far below what would be expected for a modern "GeForce 50-series" card. The nearest rivals to the RTX 5070 SUPER are the NVIDIA Quadro K1100M, the GeForce GT 1030, the Intel Arc Pro B50, and the GeForce GT 440, with deltaPct values of 1, 1.1, 1.1, and 1.7 respectively. These are all entry-level or legacy components. If this benchmark data is accurate, the RTX 5070 SUPER would be a severe bottleneck in gaming, likely limiting performance to low or medium settings at 1080p, and struggling to maintain playable frame rates at higher resolutions or with ray tracing enabled.

Given the CPU's strength, the estimated FPS in games would be dictated almost entirely by the GPU. At 1080p, the CPU could push high frame rates, but the GPU would cap them. At 1440p or 4K, the GPU would be overwhelmed. The result is a system that could exhibit massive frame pacing issues and stuttering, as the CPU outpaces the GPU's rendering capabilities. These are estimates based on the benchmark scores, but the data strongly implies that this is not a balanced gaming rig for high-refresh-rate or high-resolution play.

Who Should Build It

This specific configuration targets a narrow and unusual niche. The Intel Core i9-13900KF is a compelling choice for content creators, software developers, and professionals who require immense multi-threaded processing power for tasks like video editing, 3D rendering, and code compilation. Its 24 cores and 32 threads, demonstrated by a PassMark multithread score of 57729 and a Cinebench R23 multicore score of 48855, are ideal for these workloads. Students in engineering or data science fields would also benefit from this CPU's computational capacity.

However, the inclusion of the RTX 5070 SUPER, with its 18th percentile ranking, complicates the target audience. For gamers, this build is not advisable based on the data. The GPU's performance class would severely limit gaming experiences. For small business workstations that do not rely heavily on GPU acceleration, this could be a functional, if odd, pairing. The CPU would power through office productivity, database management, and financial modeling.

The most logical builder for this combination would be someone who inherited or acquired the GPU and is building around a top-tier CPU, or someone who specifically needs the CPU's compute power and only requires basic display output for non-GPU-accelerated tasks. For anyone intending to use this for modern gaming or GPU-accelerated rendering, the data suggests they should reconsider the GPU selection. The CPU is a 93rd-percentile performer, but the GPU is a bottleneck that undermines the entire system's capability for graphics-intensive work.

Benchmark Performance

The benchmark data reveals a dramatic disparity between the two components. The CPU is a top-tier performer. Its average benchmark score of 61841 places it in the 93rd percentile of all CPUs. Its nearest rivals, the Intel Core Ultra 7 270HX Plus, Intel Core i9-13900K, Intel Core i9-13900T, and Intel Xeon 636, have average scores of 61834, 61766, 61723, and 61360 respectively. The deltaPct values of 0, 0.1, 0.2, and 0.8 show that the 13900KF is statistically tied with these other high-end processors, confirming its position at the top of the desktop heap.

In specific CPU tests, the i9-13900KF shows consistent strength. Its Cinebench R23 multicore score of 48855 is a standout figure, indicating exceptional performance in heavily threaded workloads. The Geekbench multicore score of 22486 and PassMark multithread score of 57729 corroborate this. Single-thread performance is also strong, with a Cinebench R23 single-core score of 6897 and a 3dmark_single_thread score of 1188, ensuring responsiveness in everyday tasks and games that rely on fewer cores.

The GPU, conversely, presents a data point that is difficult to reconcile with its product name. Its sole benchmark score, 2690 in 3dmark_steel_nomad_dx12, yields an 18th percentile ranking. The nearest rivals are the NVIDIA Quadro K1100M, the GeForce GT 1030, the Intel Arc Pro B50, and the GeForce GT 440. The performance deltas are small (1 to 1.7 percent), placing the RTX 5070 SUPER in the company of entry-level cards from a decade ago. The combined percentile for this build is 56, dragged down significantly by the GPU's low standing.

GPU Analysis

The NVIDIA GeForce RTX 5070 SUPER is based on the Blackwell 2.0 architecture and the GB205 chip, manufactured on a 5 nm process by TSMC. It is a large chip, with 31,100 million transistors on a 263 mm² die. The GPU features 6400 shading units, 200 texture mapping units, and 80 raster output pipelines. It includes 50 ray tracing cores and 200 tensor cores, indicating hardware support for real-time ray tracing and AI-accelerated features like DLSS.

The memory subsystem is modern, with 18 GB of GDDR7 memory on a 192-bit bus. This configuration provides a memory bandwidth of 672.0 GB/s, which is substantial on paper. The clock speeds are listed at 2325 MHz base and 2512 MHz boost. The pixel rate is 201.0 GPixel/s and the texture rate is 502.4 GTexel/s. The FP32 performance is rated at 32.15 TFLOPS.

The discrepancy between these substantial specifications and the low benchmark score is the central mystery of this analysis. The 3dmark_steel_nomad_dx12 score of 2690 is far too low for a GPU with these theoretical capabilities. This could suggest a driver issue, a problem with the specific sample tested, or an error in the database. From a rendering perspective, the specifications would suggest a capable card for 1440p gaming and solid performance in 3D applications. However, the benchmark score indicates that, in its current state, the GPU performs at the level of an entry-level card, which would make it unsuitable for serious rendering workloads.

Balance and Bottleneck

The imbalance in this system is stark. The CPU is a 93rd-percentile performer, while the GPU sits at the 18th percentile. This creates a scenario where the GPU is the definitive bottleneck for any graphics-related workload. In gaming, the CPU could easily calculate physics, game logic, and draw calls, but the GPU would fail to render frames quickly enough. This would manifest as low frame rates regardless of the CPU's capability. The data suggests that in CPU-bound tasks like video encoding, software compilation, or 3D simulation, the system would perform exceptionally well. In GPU-bound tasks like gaming at high resolutions, ray tracing, or GPU-accelerated rendering, the system would perform poorly.

The evidence for this is clear. The CPU's Cinebench R23 multicore score of 48855 and PassMark multithread score of 57729 are class-leading. The GPU's nearest rivals are the GT 1030 and GT 440, which are not capable of modern gaming. The FPS scaling would be almost non-existent; increasing resolution would not shift the bottleneck to the CPU, but rather further overwhelm the GPU. The only scenario where this balance makes sense is if the user's primary workload is purely CPU-centric, and the GPU is only used for basic display output. For any other purpose, the GPU is a severe liability that negates the power of the CPU.

Build Overview

This is a desktop build class configuration, combining a flagship-level CPU with a GPU that benchmarks as an entry-level part. The Intel Core i9-13900KF is a 24-core, 32-thread processor from the Raptor Lake family, representing the pinnacle of Intel's 13th-generation desktop offerings. The NVIDIA GeForce RTX 5070 SUPER, on the other hand, is a GeForce 50-series card with specifications that suggest mid-range to high-end performance, but its benchmark data places it in the bottom 18 percent of all GPUs.

The overall tier of this build, based on the combined percentile of 56, is squarely in the mid-range. However, this average is misleading. It represents a system with extreme highs and extreme lows. The CPU performance is in the top 7% of all processors, while the GPU performance is in the bottom 18%. This is not a balanced mid-range system; it is a high-end CPU paired with a GPU that is a performance outlier in the negative direction. The build's class is desktop, and its overall tier is defined by the massive gap between its components.

CPU Analysis

The Intel Core i9-13900KF is a 24-core, 32-thread processor based on the Raptor Lake architecture and built on Intel's 10 nm process. It has a base clock of 3.00 GHz and a boost clock of 5.80 GHz. The CPU has a 125 W TDP and supports dual-channel DDR4 and DDR5 memory. Its cache hierarchy includes 80 KB of L1 and 2 MB of L2 per core, plus a shared 36 MB L3 cache. The "KF" designation means it lacks integrated graphics and has an unlocked multiplier for overclocking.

The benchmark data shows the CPU is a powerhouse. Its Cinebench R23 multicore score of 48855 and Geekbench multicore score of 22486 are indicative of exceptional performance in video editing, 3D rendering, and software compilation. The PassMark scores for data compression (786218) and floating point math (150869) highlight its strength in scientific and financial applications. The single-thread performance, with a Cinebench R23 score of 6897 and a 3dmark_single_thread score of 1188, ensures that it is also fast in everyday tasks and lightly threaded applications.

The 93rd percentile ranking, alongside its nearest rivals with negligible performance deltas, cements its status as a top-tier desktop CPU. For real-world workloads, this translates to reduced render times, faster code builds, and a highly responsive system. It is a processor designed for heavy multi-tasking and professional applications, and its benchmark scores fully support this positioning.

Usage Scenarios

High-refresh gaming: This scenario is severely compromised by the GPU. While the i9-13900KF can easily push high frame rates, the RTX 5070 SUPER's 18th percentile score would likely cap performance at low to medium settings, making it impossible to achieve high-refresh-rate gaming at 1080p, let alone 1440p or 4K. The potential of the CPU is wasted in this use case.

Streaming: The CPU's 24 cores and 32 threads are more than sufficient for software encoding via x264, as evidenced by its strong multi-threaded scores. A streamer could run the game and encode the stream simultaneously without impacting CPU performance. However, the game's frame rate would still be limited by the GPU's poor performance, making this a frustrating experience.

Video editing: This is a more viable scenario. The CPU's Cinebench R23 multicore score of 48855 would make short work of video exports and effects rendering. The 18 GB of VRAM on the GPU could be useful for holding large timelines, but its low compute performance would slow down GPU-accelerated effects. The CPU would be the primary workhorse, making this a functional, if imbalanced, editing workstation.

3D rendering: Similar to video editing, the CPU would excel at CPU-based rendering, with its high core count significantly reducing render times. For GPU-based renderers like Octane or Redshift, the RTX 5070 SUPER would be a major bottleneck. Its 50 RT cores and 32.15 TFLOPS of FP32 performance are theoretically present, but the benchmark score suggests real-world performance would be far below expectations.

Software development: This is a strong use case. The CPU's multi-threaded performance is ideal for compiling large codebases, running virtual machines, and executing test suites. The GPU is irrelevant for most development tasks, making this pairing a good choice for a developer's workstation.

Student and office work: This scenario is overkill in the extreme. The CPU's power is wasted on word processing, spreadsheets, and web browsing. The GPU is also unnecessary for these tasks. A student or office worker would see no benefit from this configuration and would be better served by a more modest, balanced system.