SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KF + NVIDIA RTX 4000 SFF Ada Generation

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

97 / 100
ULTIMATE READY

Apex Performer

Top 3% 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
99%
PROCESSOR

Intel Core i9-13900KF

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

NVIDIA RTX 4000 SFF Ada Generation

117,088 Benchmark Score
Top 1% 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

# CPU Analysis

The Intel Core i9-13900KF is a 24-core, 32-thread desktop processor built on Intel’s Raptor Lake architecture and manufactured on a 10 nm process. It features a base clock of 3.00 GHz and a boost clock of 5.80 GHz, with a 125 W TDP. The chip uses a hybrid design typical of 13th-generation Core parts, combining performance and efficiency cores, though the FACT PACK does not specify the exact core distribution. 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 both DDR4 and DDR5 memory across a dual-channel interface, includes ECC memory support, and offers PCIe Gen 5 with 20 lanes from the CPU. The die size is 257 mm², and the processor is socketed for Intel Socket 1700.

Benchmark scores from the FACT PACK reveal a processor that scales strongly with thread count. In 3DMark tests, the chip scores 1188 in single-thread, 2353 in 2-thread, 4643 in 4-thread, 8510 in 8-thread, 11177 in 16-thread, and 15405 in max-thread tests. This scaling pattern shows near-linear improvements from 2 to 8 threads, with diminishing but still substantial gains beyond 16 threads—a typical signature for a high-core-count CPU. In Cinebench, the multicore scores are 4924 (R15), 20519 (R20), and 48855 (R23), while single-core scores are 695 (R15), 2896 (R20), and 6897 (R23). The R23 multicore result of 48855 is particularly strong, indicating that heavily threaded workloads like 3D rendering or video encoding will see excellent throughput.

Geekbench scores of 2668 single-core and 22486 multicore reinforce this picture. The single-core performance is competitive for everyday responsiveness and lightly threaded applications, while the multicore score demonstrates the CPU’s ability to handle parallel workloads. PassMark results add further detail: integer math scores 206859, floating-point math scores 150869, and extended instructions score 46084. Data compression reaches 786218, data encryption hits 46186, random string sorting scores 86510, and prime number finding scores 225. The multithread score is 57729, physics scores 2956, and single-thread scores 4584. The CPU’s avgBenchmarkScore is 61841, placing it in the 93rd percentile among all CPUs.

Relative to its nearest rivals, the i9-13900KF sits within a tight cluster. The Intel Core Ultra 7 270HX Plus has an average score of 61834 with a deltaPct of 0, meaning the two are effectively tied. The Intel Core i9-13900K scores 61766 with a deltaPct of 0.1, the Intel Core i9-13900T scores 61723 with a deltaPct of 0.2, and the Intel Xeon 636 scores 61360 with a deltaPct of 0.8. These deltas are all within 1%, so the 13900KF delivers performance statistically indistinguishable from its closest competitors. The 13900KF is unlocked (multiplierUnlocked is true), allowing overclocking headroom, though no overclocked benchmark figures are provided in the FACT PACK.

For real workloads, the single-core scores suggest strong performance in tasks like web browsing, office productivity, and light code compilation where latency matters. The multicore scores indicate the CPU excels at video editing exports, 3D rendering, scientific simulations, and software build pipelines. The PassMark data encryption and compression figures point to solid performance in archive management and encrypted storage workflows. The 93rd percentile ranking across all CPUs places this chip firmly in the high-end desktop tier, suitable for demanding professional use.

# Benchmark Performance

The Intel Core i9-13900KF posts an avgBenchmarkScore of 61841, which places it in the 93rd percentile of all CPUs. Its GPU counterpart, the NVIDIA RTX 4000 SFF Ada Generation, achieves an avgBenchmarkScore of 117088, landing in the 95th percentile of all GPUs. The combined build percentile is 94, reflecting a high-tier pairing overall.

The GPU’s benchmark data is more limited than the CPU’s, with only two entries in the FACT PACK. In Geekbench OpenCL, the RTX 4000 SFF scores 124812, and in Geekbench Vulkan, it scores 109364. These numbers are not directly comparable to the CPU’s Cinebench or PassMark figures, but they indicate strong compute performance for a workstation GPU. The OpenCL score is higher than Vulkan, which is typical for cards optimized for compute-heavy professional applications rather than pure gaming rasterization.

The GPU’s nearest rivals show a close competitive field. The NVIDIA GB10 scores 117393 with a deltaPct of -0.3, meaning the RTX 4000 SFF is 0.3% behind it. The AMD Radeon PRO W7700 scores 118976 with a deltaPct of -1.6, so the RTX 4000 SFF trails by 1.6%. The NVIDIA Tesla V100 SXM2 16 GB scores 114395 with a deltaPct of 2.4, and the NVIDIA RTX A5500 Mobile scores 113944 with a deltaPct of 2.8, meaning the RTX 4000 SFF leads both by those margins. These deltas are all small, again indicating a tightly grouped performance tier.

The combined picture from CPU and GPU scores is one of balanced high performance. The CPU’s 93rd percentile and the GPU’s 95th percentile are both strong individually, and the combined 94th percentile suggests neither component dramatically outsizes the other. The CPU’s multicore might is complemented by the GPU’s compute capability, making this a capable workstation build. However, the absence of measured FPS data for this exact combination means gaming performance must be inferred from the benchmark scores rather than directly observed.

# Balance and Bottleneck

Determining which component limits which workload requires examining the percentiles and the nature of the benchmark scores. The CPU sits at the 93rd percentile among all CPUs, while the GPU sits at the 95th percentile among all GPUs. The GPU’s slightly higher percentile indicates that, relative to their respective markets, the GPU is marginally stronger than the CPU. In CPU-bound scenarios—such as high-refresh-rate gaming at low resolutions, or single-threaded productivity tasks—the processor’s 93rd percentile ranking suggests it will not hold back the system in most cases. The single-thread score of 4584 in PassMark and 6897 in Cinebench R23 demonstrate strong per-core performance, so lightly threaded games should run without CPU bottlenecks.

In GPU-bound scenarios, such as 4K gaming or heavy rendering workloads, the RTX 4000 SFF’s 95th percentile ranking indicates it can handle demanding graphics tasks. The GPU’s 20 GB of VRAM and 280.0 GB/s bandwidth provide ample headroom for large textures and complex scenes. However, the GPU’s compute scores (OpenCL 124812, Vulkan 109364) are not overwhelmingly higher than typical mid-range cards, suggesting it is optimized for professional workflows rather than raw gaming rasterization.

The FPS scaling evidence is absent because no measured FPS rows exist for this combination. The FACT PACK explicitly notes dataIsMeasured is false, so all gaming frame rate discussions are estimates based on the benchmark scores. Given the CPU’s strong single-thread and multicore scores, and the GPU’s high percentile, the system should be balanced for most workloads. The likely bottleneck in gaming would be the GPU at higher resolutions, while at lower resolutions the CPU’s 93rd percentile should keep frame rates high. For compute-heavy tasks like 3D rendering, the CPU’s 24 cores and 32 threads (evidenced by the Cinebench R23 score of 48855) will be the primary driver, with the GPU accelerating specific rendering passes.

# Usage Scenarios

High-refresh gaming: The CPU’s single-thread score of 4584 in PassMark and 6897 in Cinebench R23 ensures strong per-core performance, which is critical for high-refresh gaming at 1080p or 1440p. The GPU’s 95th percentile ranking indicates it can push high frame rates, though the lack of measured FPS data means exact numbers are estimates. At 1080p, the CPU is likely the limiting factor, but its 93rd percentile should support refresh rates well above 144 Hz in most titles. At 1440p or 4K, the GPU becomes the constraint, and the RTX 4000 SFF’s 20 GB VRAM helps maintain texture detail.

Streaming: The CPU’s 24 cores and 32 threads, reflected in the Cinebench R23 multicore score of 48855, provide ample headroom for simultaneous game encoding and streaming. The PassMark data compression score of 786218 indicates strong encoding throughput. The GPU’s NVENC capabilities are not specified in the FACT PACK, but its Ada Lovelace architecture (with 192 tensor cores) likely supports hardware encoding, offloading the CPU. The 93rd CPU percentile suggests streaming at high bitrates while gaming will not cause stutters.

Video editing: The multicore strength of the i9-13900KF shines here. The 3DMark max-thread score of 15405 and the Geekbench multicore score of 22486 indicate fast export times for 4K or 8K footage. The GPU’s 20 GB VRAM and 280.0 GB/s bandwidth support GPU-accelerated effects and timeline scrubbing. The Cinebench R23 multicore score of 48855 means rendering previews and final exports will be swift.

3D rendering: This is a dual-heavy workload. The CPU’s Cinebench R20 multicore score of 20519 and R23 score of 48855 handle CPU-based renderers like Blender’s Cycles or V-Ray. The GPU’s 19.17 TFLOPS FP32 performance and 48 RT cores accelerate GPU-based renderers and ray tracing. The 95th GPU percentile ensures competitive render times for workstation-class tasks.

Software development: The CPU’s single-thread score of 2668 in Geekbench and 4584 in PassMark single-thread tests support fast code compilation for small projects, while the multicore scores (Geekbench 22486, PassMark multithread 57729) accelerate full builds. The PassMark integer math score of 206859 indicates strong integer performance, relevant for compilation. The 36 MB L3 cache helps with large codebases.

Student and office work: The 93rd CPU percentile and 95th GPU percentile far exceed the requirements for word processing, spreadsheets, and web browsing. The single-thread performance ensures snappy UI responsiveness, while the 125 W TDP (with a 250 W suggested PSU for the GPU) means the system is power-efficient enough for a desk setup. The GPU’s 70 W TDP is notably low, making this a thermally manageable build for a dorm room or small office.

# FAQ

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

A: The Intel Core i9-13900KF has 24 cores and 32 threads, with a base clock of 3.00 GHz and a boost clock of 5.80 GHz.

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

A: The CPU’s avgBenchmarkScore is 61841. The Intel Core Ultra 7 270HX Plus scores 61834 (deltaPct 0), the Intel Core i9-13900K scores 61766 (deltaPct 0.1), the Intel Core i9-13900T scores 61723 (deltaPct 0.2), and the Intel Xeon 636 scores 61360 (deltaPct 0.8). All rivals are within 1% performance.

Q: What is the GPU’s memory configuration?

A: The NVIDIA RTX 4000 SFF Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, with 280.0 GB/s bandwidth and a memory clock of 1750 MHz (14 Gbps effective).

Q: Does the GPU support ray tracing and tensor workloads?

A: Yes, the GPU has 48 RT cores and 192 tensor cores, built on the Ada Lovelace architecture with a 5 nm process from TSMC.

Q: What is the combined performance percentile of this build?

A: The combinedPercentile is 94, based on the CPU’s 93rd percentile and the GPU’s 95th percentile.

Q: Is there measured FPS data for this exact combination?

A: No, the FACT PACK contains no measured FPS rows for this combination. The dataIsMeasured field is false, so all FPS figures are estimates from benchmark scores.

Q: What is the launch MSRP of the CPU?

A: The launch MSRP is $564 for the Intel Core i9-13900KF.

# GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU built on the Ada Lovelace architecture, using the AD104 chip fabricated on a 5 nm process at TSMC. The die contains 35,800 million transistors across a 294 mm² area, yielding a transistor density of 121.8 million per mm². The GPU has 6144 shading units, 192 texture mapping units, and 64 render output units. It includes 48 ray tracing cores and 192 tensor cores, which support hardware-accelerated ray tracing and AI-based workloads like DLSS or professional inference tasks.

Memory configuration consists of 20 GB of GDDR6 on a 160-bit bus, with 280.0 GB/s bandwidth. The base clock is 720 MHz, the boost clock is 1560 MHz, and the memory clock is 1750 MHz (14 Gbps effective). The GPU’s pixel rate is 99.84 GPixel/s, texture rate is 299.5 GTexel/s, and FP32 performance is 19.17 TFLOPS, with FP16 also at 19.17 TFLOPS (1:1). The TDP is 70 W, which is exceptionally low for a GPU in the 95th percentile, and it requires no power connectors. The suggested PSU is 250 W. The card is dual-slot, measures 168 mm in length (6.6 inches) and 69 mm in height (2.7 inches), and connects via PCIe 4.0 x16. Display outputs include 4x mini-DisplayPort 1.4a.

In benchmark terms, the GPU scores 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, with an avgBenchmarkScore of 117088. Its percentileVsAllGpus is 95, meaning it outperforms 95% of all GPUs in the database. Relative to rivals, it trails the NVIDIA GB10 by 0.3% and the AMD Radeon PRO W7700 by 1.6%, but leads the NVIDIA Tesla V100 SXM2 16 GB by 2.4% and the NVIDIA RTX A5500 Mobile by 2.8%. These small deltas indicate the GPU is competitively positioned in the high-end workstation tier.

For rendering workloads, the 20 GB VRAM is a significant advantage, allowing large 3D scenes, high-resolution textures, and multi-GPU rendering tasks to fit in memory without swapping. The 280.0 GB/s bandwidth supports data-intensive shaders and compute kernels. The 48 RT cores enable hardware ray tracing, which is increasingly used in professional visualization and architectural rendering. The 192 tensor cores accelerate AI denoising and machine learning inference, making this GPU suitable for tasks beyond pure rasterization. The low 70 W TDP means it can be deployed in compact SFF workstations without extensive cooling, a key differentiator for space-constrained environments.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination—the FACT PACK contains no measuredFpsUltraByGame entries and dataIsMeasured is false. Therefore, all frame rate figures discussed here are estimates derived from the benchmark scores, not empirical measurements.

Based on the CPU’s 93rd percentile and the GPU’s 95th percentile, the system should deliver strong gaming performance at 1080p and 1440p. The CPU’s single-thread scores (PassMark 4584, Cinebench R23 6897) suggest it can feed the GPU adequately in most titles, avoiding CPU-bound frame rate caps. At 1080p ultra settings, the GPU’s 19.17 TFLOPS FP32 and 20 GB VRAM should handle modern games at high frame rates, likely exceeding 100 FPS in esports titles and maintaining 60+ FPS in AAA games. At 1440p, the GPU’s 280.0 GB/s bandwidth and 64 ROPs become more critical; the 95th percentile ranking suggests solid performance, though the workstation-oriented design may not match gaming-focused cards in the same percentile for rasterization.

At 4K, the GPU’s 20 GB VRAM is a boon for texture-heavy titles, but the 160-bit bus and 280.0 GB/s bandwidth could limit performance in memory-bandwidth-intensive scenes. The RTX 4000 SFF’s 48 RT cores enable ray tracing, but the 70 W TDP and modest clock speeds (boost 1560 MHz) suggest ray-traced performance will be lower than higher-TDP gaming cards. The lack of measured FPS data means these are informed estimates; the actual frame rates will depend on the specific game engine, driver optimizations, and system cooling. For competitive gaming at high refresh rates, the CPU’s strong single-thread performance is the key asset; for immersive single-player titles at higher resolutions, the GPU’s compute strengths will carry the load.

# Build Overview

This build pairs the Intel Core i9-13900KF desktop processor with the NVIDIA RTX 4000 SFF Ada Generation GPU in a desktop class configuration. The CPU is a 24-core, 32-thread Raptor Lake-S part on Intel Socket 1700, released in September 2022 with a launch MSRP of $564. The GPU is a workstation-focused Ada Lovelace card, released in March 2023, with a 70 W TDP and 20 GB VRAM. Neither component is a typical consumer gaming pick—the CPU is a high-end unlocked desktop chip, while the GPU is a compact SFF workstation card—making this a hybrid build aimed at professional productivity.

The combinedPercentile of 94 places this system in the top 6% of all builds in the database. The CPU’s 93rd percentile and GPU’s 95th percentile are closely matched, indicating a balanced pairing where neither component is a severe bottleneck for the other. The CPU’s multicore dominance (Cinebench R23 48855) and the GPU’s compute capability (OpenCL 124812) suggest this is a workstation-class system capable of handling demanding creative and technical workloads. The build class is desktop, meaning it is intended for a stationary setup, and the GPU’s SFF form factor (168 mm length, dual-slot) allows it to fit in compact cases despite the CPU’s larger cooling requirements.

The overall tier is high-end professional, as evidenced by the 94th combined percentile and the GPU’s workstation lineage. This is not a mainstream gaming rig—the RTX 4000 SFF’s 70 W TDP and lack of power connectors point to a low-power workstation niche—but it is a capable system for users who need CPU-heavy parallel processing alongside GPU-accelerated compute.

# Who Should Build It

This build targets users who prioritize CPU throughput and GPU compute over raw gaming rasterization. Gamers at 1080p or 1440p will benefit from the CPU’s high single-thread scores (PassMark 4584, Geekbench 2668) and the GPU’s 95th percentile ranking, but they should temper expectations for 4K ultra settings given the GPU’s workstation orientation and 280.0 GB/s bandwidth. Content creators—video editors and 3D artists—will find the CPU’s Cinebench R23 multicore score of 48855 and the GPU’s 20 GB VRAM ideal for rendering and export tasks. Software developers can leverage the CPU’s PassMark integer math score of 206859 and multicore score of 57729 for faster builds and testing, while the GPU’s tensor cores (192) support ML development.

Students in engineering or computer science fields will appreciate the CPU’s 93rd percentile for simulation and compilation workloads, though the $564 launch MSRP of the CPU may push this beyond typical student budgets. Small business workstations handling data processing (PassMark data compression 786218, encryption 46186) or CAD/visualization (GPU’s 48 RT cores) will perform well. The low GPU TDP of 70 W makes this a power-efficient choice for offices where heat and noise are concerns, and the 250 W suggested PSU means a modest power supply suffices. However, users seeking a pure gaming machine with high frame rates at 4K should look elsewhere; this build’s strengths lie in compute and content creation, not gaming rasterization.

# Upgrade Path and Platform

The CPU uses Intel Socket 1700, which supports DDR4 and DDR5 memory across a dual-channel bus, with ECC memory support available. The platform offers PCIe Gen 5 with 20 lanes from the CPU, providing high-bandwidth connectivity for next-generation storage or expansion cards. The GPU connects via PCIe 4.0 x16, which is backward compatible and sufficient for the RTX 4000 SFF’s bandwidth needs. The CPU’s TDP is 125 W, and the GPU’s TDP is 70 W, with a suggested PSU of 250 W for the GPU alone; a system PSU should account for the CPU’s 125 W plus other components, but no combined figure is provided in the FACT PACK.

A sensible next upgrade would involve increasing system memory to take full advantage of the CPU’s dual-channel support, though the FACT PACK does not specify maximum capacity. Storage upgrades via PCIe Gen 5 NVMe drives would leverage the CPU’s 20 PCIe lanes, reducing load times and improving data-intensive workflows. For the GPU, the RTX 4000 SFF’s successor is listed as Blackwell PRO W, which could offer higher compute performance, but no specs are provided. The CPU’s production status is Active, and the multiplier is unlocked, so overclocking is possible with appropriate cooling, though the FACT PACK does not list a stock cooler. The platform itself—Intel Socket 1700—is not forward-compatible with newer Intel generations beyond Raptor Lake, so a CPU upgrade would require a motherboard change. The GPU’s PCIe 4.0 interface is also backward compatible with older motherboards, making it a viable drop-in upgrade for existing systems with adequate PSU headroom.