SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KF + NVIDIA RTX 5000 Embedded Ada Generation X2

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
GPU Bottleneck
CPU
96%
VS
GPU
74%

Your GPU is limiting system performance. Consider upgrading to a more powerful graphics card to better utilize your CPU.

PROCESSOR

Intel Core i9-13900KF

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

NVIDIA RTX 5000 Embedded Ada Generation X2

0 Benchmark Score
Top 26% 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.

Bottleneck Detected

GPU Bottleneck - Upgrading the weaker component will improve overall performance.

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 paired with dual NVIDIA RTX 5000 Embedded Ada Generation GPUs is a desktop configuration that occupies a specific, high-compute niche. The CPU is a top-tier desktop processor, while the GPUs are mobile-class workstation parts, creating a unique balance of massive processing power and professional-grade graphics capability. The data shows this pairing sits at the 72nd percentile overall, which is notable, but the lack of measured FPS data for this exact combination means performance in games must be estimated from the individual component benchmark scores.

CPU Analysis

The Intel Core i9-13900KF is a 24-core, 32-thread processor based on the Raptor Lake architecture, built on Intel's 10 nm process. With a base clock of 3.00 GHz and a boost clock of 5.80 GHz, it is designed for high-frequency operation, and the unlocked multiplier allows for manual overclocking. The cache layout is substantial, featuring 80 KB of L1 and 2 MB of L2 per core, alongside a shared 36 MB L3 cache. The processor supports dual-channel DDR4 and DDR5 memory, includes ECC memory support, and offers Gen 5 PCIe connectivity with 20 lanes from the CPU. Its 125 W TDP is the baseline power draw, though boost behavior can push it higher.

Benchmark results place this CPU in the 93rd percentile among all processors, indicating it outperforms the vast majority of CPUs on the market. In the Cinebench R23 test, it scores 48,855 in multi-core and 6,897 in single-core. The multi-core score is particularly strong, reflecting the high core count and thread count, which excel in heavily threaded workloads like 3D rendering and video encoding. The single-core score of 6,897 is also elite, driven by the high 5.80 GHz boost clock, ensuring snappy performance in lightly threaded applications and games. The Geekbench results echo this, with a multi-core score of 22,486 and a single-core score of 2,668.

Looking at specific benchmark scaling, the 3DMark tests show a clear thread-scaling pattern: 2,353 with 2 threads, 4,643 with 4 threads, 8,510 with 8 threads, 11,177 with 16 threads, and a peak of 15,405 with max threads. This near-linear scaling up to 16 threads demonstrates excellent multi-threading efficiency, which is crucial for modern productivity software. PassMark integer math scores of 206,859 and floating-point math scores of 150,869 further underscore its computational versatility. When compared to its nearest rivals, the i9-13900KF has an average benchmark score of 61,841, which is effectively tied with the Intel Core Ultra 7 270HX Plus at 61,834 (0% delta), the Intel Core i9-13900K at 61,766 (0.1% ahead), and the Intel Core i9-13900T at 61,723 (0.2% ahead). This means the 13900KF is not meaningfully faster than these alternatives in aggregate, but its specific strengths in multi-core throughput are what define it.

Benchmark Performance

The CPU delivers exceptional benchmark scores across the board, but the GPU situation requires careful interpretation. The NVIDIA RTX 5000 Embedded Ada Generation X2 has a percentile rank of 50 among all GPUs, which is exactly the median. Its average benchmark score is listed as 0, and there are no individual benchmark entries in the data. This is because the "Embedded" designation and the "X2" suffix in the name suggest this is a dual-GPU configuration, and the lack of standardized benchmark data for this setup means the GPU's true gaming performance is not directly quantified. The combined percentile for this CPU+GPU pairing is 72, which is lower than the CPU's 93rd percentile, indicating that the GPU configuration is likely the performance ceiling in graphics-intensive tasks.

The CPU’s Cinebench R20 multi-core score of 20,519 and R15 multi-core score of 4,924 are consistent with its position as a top-tier productivity chip. The single-core scores of 2,896 (R20) and 695 (R15) are also high, reinforcing the processor's ability to handle both multi-threaded and single-threaded workloads. The PassMark multithread score of 57,729 and single-thread score of 4,584 align with the 93rd percentile ranking. The data compression score of 786,218 and encryption score of 46,186 show strong performance in data-heavy tasks, which are common in server and workstation environments.

There is no measured FPS data for this exact combination in the FACT PACK. All FPS discussions must be treated as estimates derived from the benchmark scores. Given the CPU’s strengths and the GPU’s median percentile, the combined picture suggests a system that can handle high-refresh gaming at 1080p or 1440p in many titles, but may struggle to maintain ultra-high frame rates in the most demanding AAA games at 4K, where the GPU’s dual configuration might not scale well due to driver and engine support.

Balance and Bottleneck

The balance between the CPU and GPU is heavily skewed toward the CPU. The i9-13900KF, with its 93rd percentile ranking, is a top-tier processor that can feed almost any graphics card. However, the RTX 5000 Embedded Ada Generation X2, at the 50th percentile, is the limiting factor in this system for graphics workloads. In CPU-bound scenarios, such as esports titles at lower resolutions or physics calculations, the processor will not be a bottleneck; the data shows the CPU’s single-thread score of 4,584 in PassMark and 2,668 in Geekbench are strong enough to avoid limiting frame rates. In GPU-bound scenarios, such as 4K gaming with ultra settings or heavy ray tracing, the GPU configuration will be the primary constraint, as its median percentile suggests it is an average performer relative to other GPUs.

The lack of measured FPS data makes bottleneck analysis more speculative. However, based on the percentile discrepancy—93rd for CPU versus 50th for GPU—the GPU is clearly the weaker link. A system with a 93rd-percentile CPU and a 50th-percentile GPU will exhibit GPU bottlenecks in most modern games, meaning the frame rate will be dictated by the graphics card rather than the processor. The CPU’s 3DMark max-thread score of 15,405 shows it can handle complex simulations and rendering tasks, but the GPU’s 16 GB VRAM and 576.0 GB/s bandwidth are the practical limits for texture-heavy workloads. The estimated FPS scaling would show that increasing resolution from 1080p to 1440p to 4K would result in diminishing returns, as the GPU hits its ceiling while the CPU remains underutilized.

Usage Scenarios

High-refresh gaming: At 1080p and 1440p, the CPU’s elite single-thread performance (Cinebench R23 single-core 6,897) can drive high frame rates in esports and competitive shooters, potentially exceeding 144 FPS in many titles. However, the GPU’s 50th percentile ranking means that at 4K, frame rates will drop significantly, and the system may not consistently hit 60 FPS in the most demanding games with ultra settings.

Streaming: The 24 cores and 32 threads of the i9-13900KF provide ample headroom for simultaneous gaming and encoding. The PassMark multithread score of 57,729 suggests that x264 encoding on the CPU would have minimal impact on game performance, making this a viable setup for single-PC streaming, though the GPU’s NVENC capabilities are not detailed in the data.

Video editing: The Cinebench R23 multi-core score of 48,855 indicates that timeline rendering and export in software like Premiere Pro or DaVinci Resolve will be very fast. The CPU’s high thread count handles multi-stream 4K editing well, and the GPU’s 16 GB VRAM is sufficient for GPU-accelerated effects and color grading, though its median performance may slow down complex effects.

3D rendering: For CPU-based renderers like Blender Cycles, the i9-13900KF’s 32 threads will deliver strong performance, with the 3DMark max-thread score of 15,405 confirming its ability to handle complex scenes. The dual GPU setup, with its 32 GB total VRAM (16 GB per GPU), can accelerate GPU-based rendering, but the 50th percentile ranking means it will not be as fast as a top-tier desktop GPU.

Software development: The high single-thread and multi-thread scores make compilation times short. The Geekbench single-core score of 2,668 and multi-core score of 22,486 are indicative of fast code builds, and the 36 MB L3 cache helps with large codebases. The PassMark integer math score of 206,859 is also beneficial for algorithmic workloads.

Student and office work: This configuration is massively overpowered for typical office tasks like word processing, spreadsheets, and web browsing. The CPU’s 93rd percentile ranking means it will handle any productivity software with ease, but the higher power draw and cost are unjustified for such light workloads. The GPU’s 16 GB VRAM is wasted on standard 2D applications.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is a dual-GPU configuration based on the Ada Lovelace architecture, using the AD103 chip manufactured on a 5 nm process by TSMC. Each GPU is built with 45,900 million transistors on a 379 mm² die, and the configuration has a total of 16 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth. The base clock is 930 MHz with a boost clock of 1680 MHz, and the memory runs at 2250 MHz (18 Gbps effective). Each GPU contains 9,728 shading units, 304 texture mapping units, 112 raster output units, 76 ray tracing cores, and 304 tensor cores. The pixel rate is 188.2 GPixel/s, the texture rate is 510.7 GTexel/s, and FP32 performance is 32.69 TFLOPS. The TDP is 150 W, and it uses a PCIe 4.0 x16 interface with no external power connectors, indicating it is designed for portable or embedded devices.

The GPU’s benchmark scores are absent, and its percentile rank of 50 means it performs at the median level compared to all GPUs. This is a workstation-oriented part, as indicated by the "Embedded" designation, and it supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. For rendering, the 16 GB VRAM is substantial, allowing for large textures and complex scenes in 3D modeling and animation. The 76 ray tracing cores per GPU provide hardware-accelerated ray tracing, and the 304 tensor cores enable AI-accelerated features like DLSS, though the data does not specify which DLSS version is supported. The FP32 performance of 32.69 TFLOPS is solid for compute tasks, but the lack of benchmark data makes it difficult to compare directly with other GPUs in gaming scenarios.

The dual-GPU setup is unusual, and the "X2" suffix suggests a multi-GPU configuration. While this can theoretically double compute throughput in applications that support it, many games do not scale well with multiple GPUs, and the 50th percentile ranking reflects the challenges of this setup. The 576.0 GB/s bandwidth is moderate for a 16 GB memory pool, which may limit performance in bandwidth-intensive tasks like 4K texture streaming.

FAQ

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

A: The combined percentile for the Intel Core i9-13900KF and the NVIDIA RTX 5000 Embedded Ada Generation X2 is 72.

Q: How does the i9-13900KF compare to its nearest rival, the Intel Core Ultra 7 270HX Plus?

A: The i9-13900KF has an average benchmark score of 61,841, which is 0% different from the Intel Core Ultra 7 270HX Plus’s score of 61,834, meaning they are effectively tied in aggregate performance.

Q: What is the L3 cache size on the Intel Core i9-13900KF?

A: The CPU has a shared 36 MB L3 cache.

Q: Does the NVIDIA RTX 5000 Embedded Ada Generation X2 support DirectX 12 Ultimate?

A: Yes, the GPU supports DirectX 12 Ultimate (12_2).

Q: What is the memory bandwidth of the GPU configuration?

A: The GPU has a memory bandwidth of 576.0 GB/s.

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

A: No, the FACT PACK contains no measured FPS data for this exact combination, so all FPS discussions are estimates based on benchmark scores.

Q: What is the boost clock of the Intel Core i9-13900KF?

A: The boost clock is 5.80 GHz.

Who Should Build It

This build is suited for professionals who need extreme CPU compute power but have a more modest GPU requirement. The i9-13900KF’s 93rd percentile ranking makes it an ideal choice for content creators who work with CPU-intensive tasks like 3D rendering, video encoding, and software compilation. The Cinebench R23 multi-core score of 48,855 ensures that render times are short, and the 32 threads handle multitasking with ease. Gamers who prioritize high-refresh 1080p or 1440p gaming will benefit from the CPU’s strong single-thread performance, but they must accept that the GPU’s 50th percentile ranking will limit performance at higher resolutions. The dual GPU setup with 16 GB VRAM per GPU is suitable for AI researchers and data scientists who can leverage the 304 tensor cores for machine learning workloads, though the lack of benchmark data for the GPU makes it a risky choice for those who need predictable performance. Students and office workers should avoid this configuration, as it is overkill for their needs and the power draw is unnecessary. Small business workstations that run complex simulations or financial modeling will benefit from the CPU’s PassMark integer math score of 206,859, but the GPU is less critical for such tasks.

Upgrade Path and Platform

The Intel Core i9-13900KF uses the Intel Socket 1700, which supports DDR4 and DDR5 memory in a dual-channel configuration. The motherboard must provide PCIe Gen 5 lanes for the CPU, and the 20 CPU lanes allow for a high-speed NVMe SSD or a single high-end GPU. The CPU’s TDP is 125 W, and while the suggested PSU is not listed, the GPU’s TDP is 150 W, so a power supply with ample headroom is required. The platform supports ECC memory, which is a benefit for workstation builds where data integrity is critical. The production status for both the CPU and GPU is "Active," meaning they are still in production.

For a sensible next upgrade, the GPU is the obvious target. Since the CPU is already at the 93rd percentile, upgrading the GPU to a higher-tier model would improve graphics performance, but the dual-GPU configuration complicates this. Replacing the two embedded GPUs with a single, more powerful desktop GPU would likely be a better path, as many games do not scale well with multi-GPU setups. The CPU’s 5.80 GHz boost clock and 36 MB L3 cache are already top-tier, so a CPU upgrade would yield marginal gains. Adding more DDR5 memory or faster NVMe storage would be more beneficial, as the platform supports modern memory and storage standards. The PCIe Gen 5 support ensures that future high-bandwidth devices will be compatible.

Build Overview

This is a desktop-class build combining the Intel Core i9-13900KF with dual NVIDIA RTX 5000 Embedded Ada Generation GPUs. The CPU is a 24-core, 32-thread processor with a 5.80 GHz boost clock, placing it in the 93rd percentile of all CPUs. The dual GPUs are based on the Ada Lovelace architecture, each with 16 GB of GDDR6 memory, and together they rank in the 50th percentile. The combined percentile for this pairing is 72, indicating a system that is well above average but not top-tier overall. This is a configuration that prioritizes CPU compute power, making it a strong choice for productivity and professional workloads, but the GPU’s median performance means it is not optimized for high-end gaming. The build is most effective for users who need the CPU’s multi-threaded muscle for rendering, coding, and data analysis, and who can accept the GPU’s limitations in graphics-intensive tasks.