SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KS + 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 i9-13900KS

64,051 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

Intel Core i9-13900KS is the flagship desktop processor of Intel’s Raptor Lake generation, shipping with 24 cores and 32 threads. Its base clock of 3.20 GHz is relatively modest, but the boost clock reaches 6.00 GHz, the highest figure in the FACT PACK. This combination of 24 cores (8 performance and 16 efficiency) and high boost capability yields a deeply bifurcated performance profile: exceptional in lightly threaded tasks, and overwhelming in heavily threaded workloads. The CPU is built on Intel’s 10 nm process, with a die size of 257 mm², and supports both DDR4 and DDR5 memory across a dual-channel bus, with a memory bandwidth of 89.6 GB/s. The large 36 MB shared L3 cache is supported by 2 MB per-core L2 and 80 KB per-core L1 caches, which help feed the high core count.

The benchmark scores reveal a processor that excels in single-core performance. The 3dmark single-thread score of 1226, the Cinebench R23 single-core score of 7252, and the Geekbench single-core score of 2771 all point to a CPU that is at the top of its class for responsiveness in everyday tasks and lightly threaded applications. The 3dmark 2-thread score of 2412 is nearly double the single-thread score, indicating strong scaling in the first few threads, which is crucial for games and older applications. The Cinebench R15 single-core score of 730 and R20 single-core score of 3045 reinforce this picture; this is a processor that can execute individual instructions with very low latency.

Multi-threaded performance is equally impressive, driven by the 24 cores and 32 threads. The Cinebench R23 multicore score of 51368 places the i9-13900KS in a league with server-class silicon, while the Geekbench multicore score of 23607 and Passmark multithread score of 60644 confirm its suitability for parallel workloads. The 3dmark 16-thread score of 11616 and max-thread score of 16243 show that performance scales well beyond 8 threads (8812), though the scaling from 16 to 32 threads is not linear, indicating some diminishing returns in that specific benchmark. The Cinebench R20 multicore score of 21574 is consistent with the R23 result, showing that the CPU can maintain high power draw and thermals under sustained load, which is a hallmark of the 13th Gen flagship class.

With an average benchmark score of 64051, the i9-13900KS sits at the 93rd percentile of all CPUs. Its nearest rivals include the AMD EPYC 7343, which scores 64202 (0.2% ahead), and the Intel Core Ultra 7 265F, which scores 64438 (0.6% ahead). The data shows the i9-13900KS is virtually tied with the EPYC 7343 in aggregate performance, though the EPYC is a server processor with a different power profile. The Core Ultra 7 265 and 265F are slightly ahead by 0.9% and 0.6% respectively, but these are newer, power-efficient parts. The AMD Ryzen AI Max PRO 390 trails by 0.4%. The i9-13900KS’s position in this group of rivals suggests that while it is not the absolute fastest by average score, it is within 1% of the top of its competitive set, and its specific strengths in single-thread and burst workloads set it apart.

Benchmark Performance

The CPU’s benchmark performance spans a wide variety of tests, from synthetic 3DMark to content creation suites like Cinebench and Geekbench. In 3DMark, the max-thread score of 16243 and 16-thread score of 11616 show strong multi-core scaling. The 8-thread score of 8812 is 76% of the 16-thread score, indicating good scaling up to that point. The 4-thread score of 4754 and 2-thread score of 2412 show nearly perfect linear scaling at low thread counts, which is unusual for a big.LITTLE style design and speaks to the efficiency of the performance cores. The single-thread score of 1226 is the foundation for all of this, and it is a very high score, confirming that the 6.00 GHz boost clock is being realized in practice.

Cinebench scores are particularly relevant for 3D rendering. The R23 multicore score of 51368 is massive; by comparison, the single-core score of 7252 is also high. The R20 scores (21574 multicore, 3045 single-core) and R15 scores (5177 multicore, 730 single-core) follow the same pattern, with the multicore result being roughly 7 times the single-core result. This indicates that the i9-13900KS can handle multi-frame rendering tasks with significant speedup over a typical desktop CPU.

Geekbench scores of 23607 multicore and 2771 single-core are strong, but the Passmark tests provide more granular detail. The Passmark integer math score of 211027 and floating-point math score of 154805 show that the CPU is balanced between integer and floating-point heavy tasks. The data compression score of 814838 and encryption score of 47772 are very high, suggesting excellent performance in archiving and security workloads. The extended instructions score of 48217 and random string sorting score of 90257 are also high, though the find prime numbers score of 257 is relatively low, which may indicate that the test is not well-optimized for this architecture. The Passmark physics score of 3441 is derived from the multicore tests and is a strong result.

The GPU, an NVIDIA RTX 5000 Embedded Ada Generation X2, has an empty benchmark array in the FACT PACK, meaning there are no direct benchmark scores for it. However, the GPU’s percentile rank is 50, placing it in the middle of all GPUs. Its average benchmark score is listed as 0, which is a data artifact, but the percentile of 50 indicates that it is an average-performing GPU when compared to all GPUs in the database. The combined percentile for the CPU and GPU pairing is 72, which is higher than the GPU’s individual percentile, driven by the CPU’s strong 93rd percentile ranking. The overall picture is a system that is CPU-dominant, with the GPU being a more modest performer in relative terms.

The combined benchmark picture shows a system that excels in CPU-bound tasks. The CPU’s 93rd percentile rank pulls the combined system to a 72nd percentile rank. This means that in workloads that rely primarily on the CPU, this system will outperform most others. In GPU-bound workloads, the system will be more average, sitting around the 50th percentile. The data suggests that the RTX 5000 Embedded Ada GPU is not a top-tier performer, but it is capable of handling standard graphics workloads.

Balance and Bottleneck

The balance between the Intel Core i9-13900KS and the NVIDIA RTX 5000 Embedded Ada Generation X2 is heavily skewed towards the CPU. The CPU sits at the 93rd percentile of all CPUs, while the GPU sits at the 50th percentile. This 43-point gap is significant. In CPU-intensive workloads like 3D rendering, video encoding, and software compilation, the CPU will be the main driver of performance, and the GPU will not be a limiting factor. The CPU’s high core count and clock speeds will ensure that these workloads complete quickly.

However, in GPU-intensive workloads like gaming at high resolutions, the GPU will be the bottleneck. The RTX 5000 Embedded Ada GPU, with its 50th percentile rank, will limit the frame rates that can be achieved. The CPU’s impressive single-thread and multi-thread scores (e.g., Cinebench R23 single-core of 7252 and multicore of 51368) will not be fully utilized in such scenarios. The CPU will be waiting on the GPU to render frames, resulting in a situation where the CPU is underutilized.

The FPS scaling evidence is not available in the FACT PACK, as no measured FPS data exists for this combination. However, the percentile data provides a clear picture. In a game that is heavily CPU-bound, such as an esports title at 1080p, the CPU’s high single-thread score of 1226 in 3dMark single-thread would allow for high frame rates, but the GPU’s 50th percentile rank would still cap the maximum FPS. In a game that is heavily GPU-bound, such as a AAA title at 4K, the GPU would be the sole limiting factor, and the CPU’s performance would be largely irrelevant.

The memory bandwidth of 89.6 GB/s for the CPU and 576.0 GB/s for the GPU also shows an imbalance. The GPU has far more bandwidth, which is typical for graphics workloads. The CPU’s bandwidth is sufficient for its tasks, but it is the GPU’s bandwidth that will be a limiting factor in high-resolution, high-texture gaming. The system’s overall balance is one where the CPU is the star, and the GPU is a competent but not exceptional supporting player. Users who build this system should be aware that they are investing heavily in CPU performance, and the GPU will be the component that holds back performance in graphics-intensive tasks.

Usage Scenarios

High-refresh gaming: The CPU is exceptionally well-suited for high-refresh gaming at 1080p or 1440p, where its high single-thread score (1226 in 3dMark single-thread, 7252 in Cinebench R23 single-core) ensures that the game logic and physics can be processed quickly. However, the GPU’s 50th percentile rank will limit the maximum frame rate, so the system may not achieve the highest FPS in demanding titles. The CPU’s performance is more than adequate for even the most competitive esports titles, but the GPU will be the limiting factor.

Streaming: The CPU’s 24 cores and 32 threads provide ample headroom for streaming while gaming. The high Passmark multithread score of 60644 and Cinebench R23 multicore score of 51368 mean that the CPU can handle the encoding workload without impacting the game’s frame rate. The dedicated GPU has 76 RT cores and 304 tensor cores, which can also be used for NVENC-based encoding, but the CPU alone is powerful enough for a high-quality software encode.

Video editing: Video editing software like Adobe Premiere Pro benefits from both high single-thread and multi-thread performance. The CPU’s Geekbench multicore score of 23607 and single-core score of 2771 are both strong, indicating that timeline scrubbing and export operations will be fast. The GPU’s 16 GB of VRAM and 576.0 GB/s bandwidth can assist with effects and rendering, but the CPU will be the primary driver of the editing experience.

3D rendering: This is where the CPU truly shines. The Cinebench R23 multicore score of 51368 is a top-tier result, and the Passmark floating-point math score of 154805 shows strong performance in the types of calculations used in 3D rendering. The GPU’s 32.69 TFLOPS of FP32 performance and 32.69 TFLOPS of FP16 performance can also accelerate rendering in applications that support GPU rendering, but the CPU alone is capable of handling complex scenes.

Software development: The CPU’s high core count and strong multi-threaded performance (Passmark multithread score of 60644) are ideal for compiling large codebases. The Passmark data encryption score of 47772 and integer math score of 211027 also indicate strong performance in cryptographic and integer-heavy tasks, which are common in software development. The GPU is less relevant for this workload, but it is capable of handling any development-related graphics tasks.

Student and office work: This system is overkill for student and office work. The CPU’s single-thread performance (Passmark single-thread score of 4712) is more than sufficient for word processing, spreadsheets, and web browsing. The GPU’s 16 GB of VRAM is unnecessary for these tasks. The power draw of the CPU, with a TDP of 150 W, is also higher than needed for such workloads. A more modest system would be more appropriate for these tasks.

FAQ

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

A: The Intel Core i9-13900KS has 24 cores and 32 threads, with a base clock of 3.20 GHz and a boost clock of 6.00 GHz.

Q: How does the CPU compare to its nearest rival, the AMD EPYC 7343?

A: The i9-13900KS has an average benchmark score of 64051, while the EPYC 7343 has an average score of 64202, making the EPYC 0.2% faster on average.

Q: What is the GPU’s memory configuration?

A: The NVIDIA RTX 5000 Embedded Ada Generation X2 has 16 GB of GDDR6 memory on a 256-bit bus, with a memory bandwidth of 576.0 GB/s.

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

A: The combined percentile of the CPU and GPU pairing is 72, with the CPU at the 93rd percentile and the GPU at the 50th percentile.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900KS supports ECC memory, along with both DDR4 and DDR5 memory types.

Q: What is the GPU’s architecture and process node?

A: The GPU is based on the Ada Lovelace architecture, built on a 5 nm process by TSMC, with a die size of 379 mm².

Q: What is the CPU’s socket type?

A: The CPU uses Intel Socket 1700 and has a TDP of 150 W.

Gaming Performance

The FACT PACK contains no measured FPS data for this specific CPU and GPU combination. Therefore, all frame rate discussions are estimates based on the benchmark scores. The dataIsMeasured field is false, confirming that no measured FPS rows exist.

Given the CPU’s extremely high single-thread performance (3dMark single-thread score of 1226, Cinebench R23 single-core of 7252), the CPU will not be a bottleneck in any game. The limiting factor will be the GPU, which has a 50th percentile rank. At 1080p, the CPU can likely push very high frame rates in esports titles, but the GPU may cap the frame rate around 144 Hz or lower in demanding games. At 1440p, the GPU’s workload increases, and the frame rates will be lower. At 4K, the GPU will be the sole bottleneck, and the CPU’s performance will be irrelevant.

The GPU’s 16 GB of VRAM is sufficient for most modern games at high textures, and its 576.0 GB/s bandwidth is adequate for 1440p gaming. The 76 RT cores and 304 tensor cores support ray tracing and DLSS, which can improve performance in supported titles. However, the GPU’s 50th percentile rank suggests that it is not a high-end part, and users should expect average frame rates compared to other GPUs in the database. The 32.69 TFLOPS of FP32 performance is a mid-range figure for a desktop GPU.

In summary, for gaming, this system is expected to deliver strong 1080p and 1440p performance in most titles, with the GPU being the limiting factor. At 4K, frame rates will be more modest. The CPU is more than capable of handling any game, and the GPU will be the component that determines the final frame rate.

Upgrade Path and Platform

The Intel Core i9-13900KS uses the Intel Socket 1700 platform. This socket supports both DDR4 and DDR5 memory, and the CPU has a dual-channel memory bus. The memory bandwidth is 89.6 GB/s. The platform supports PCIe Gen 5, with 20 lanes from the CPU, providing ample bandwidth for modern storage and graphics cards. The CPU has an integrated GPU, UHD Graphics 770, which can be used for troubleshooting or basic display output.

The GPU, NVIDIA RTX 5000 Embedded Ada Generation X2, uses a PCIe 4.0 x16 interface. It is an IGP (integrated graphics processor) in terms of slot width, with a TDP of 150 W and no power connectors. The CPU’s TDP is also 150 W. The suggested PSU field is null, so no power supply recommendation is provided in the FACT PACK. The absence of power connectors on the GPU suggests it draws power from the motherboard, which is typical for embedded or mobile-class parts.

Given the platform’s support for DDR5, a sensible upgrade path would be to ensure the system is running the fastest DDR5 memory supported by the motherboard, as the CPU’s memory bandwidth of 89.6 GB/s can be a limiting factor in some workloads. The CPU is already a top-tier part (93rd percentile), so upgrading the CPU is not necessary. A more meaningful upgrade would be to replace the GPU with a higher-performing model, as the current GPU’s 50th percentile rank is the weakest link in the system.

The platform’s PCIe Gen 5 support means that future graphics cards and NVMe drives can be used at full speed. The CPU’s 20 PCIe lanes are sufficient for a single high-end GPU and a fast storage device. The motherboard choice will determine the exact expansion options. The CPU is unlocked (multiplierUnlocked is true), allowing for overclocking, which could further improve performance in CPU-bound tasks. However, the CPU’s 150 W TDP suggests that a capable cooling solution is required to maintain high boost clocks.

Build Overview

This build pairs the Intel Core i9-13900KS, a desktop-class flagship CPU from the Core 13th Gen series, with the NVIDIA RTX 5000 Embedded Ada Generation X2, a mobile/embedded-class GPU. The build class is desktop, but the GPU is an embedded part, making this an unusual pairing. The CPU is a 24-core, 32-thread processor based on the Raptor Lake architecture, built on Intel’s 10 nm process. The GPU is based on the Ada Lovelace architecture, built on TSMC’s 5 nm process, with 9728 shading units.

The combined system has a percentile rank of 72, driven almost entirely by the CPU’s 93rd percentile ranking. The GPU’s 50th percentile ranking is decidedly average. The CPU’s average benchmark score of 64051 places it in a tie with the AMD EPYC 7343, but its nearest rivals also include the Intel Core Ultra 7 265 and 265F, which are slightly faster by 0.9% and 0.6% respectively. The GPU has no benchmark scores and no nearest rivals in the FACT PACK.

The overall tier of this build is high-end on the CPU side, but mid-range on the GPU side. The system is best described as a workstation-class CPU paired with a modest GPU. This is not a balanced gaming build, but rather a system that prioritizes CPU performance for compute-heavy tasks. The launch MSRP of the CPU is $699. The GPU has no launch MSRP listed.

Who Should Build It

This build is for users who need massive CPU performance but do not require top-tier graphics performance. Content creators who work with 3D rendering, video encoding, and software compilation will benefit greatly from the CPU’s Cinebench R23 multicore score of 51368 and Passmark multithread score of 60644. The CPU’s high single-thread performance (Geekbench single-core of 2771) also benefits tasks like photo editing and 2D design.

Software developers will appreciate the CPU’s 24 cores and 32 threads for compiling large codebases, as well as its high Passmark data encryption score of 47772 for security-related work. Students and office workers would be vastly over-served by this build, as the CPU is far more powerful than needed for typical productivity tasks, and the GPU’s 16 GB of VRAM is unnecessary. The system’s high power draw (150 W TDP for both CPU and GPU) also makes it less suitable for a small form factor or energy-efficient build.

Gamers at 1080p or 1440p who play CPU-intensive titles like simulations or strategy games will find the CPU’s performance to be excellent, but the GPU will limit the frame rates in GPU-heavy games. The system is not ideal for 4K gaming. Small business workstations that run multi-threaded workloads like financial modeling, data analysis, or scientific computing will be well-served by the CPU’s performance. The GPU is sufficient for standard office graphics and can handle light CAD work, but it is not a high-end rendering GPU.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is based on the Ada Lovelace architecture, built on a 5 nm process by TSMC. The chip, AD103, contains 45,900 million transistors on a 379 mm² die, with a transistor density of 121.1 million per mm². The GPU has 9728 shading units, 304 texture mapping units, and 112 raster operation units. It also includes 76 RT cores and 304 tensor cores, which provide hardware acceleration for ray tracing and AI-based features like DLSS.

The GPU has a base clock of 930 MHz and a boost clock of 1680 MHz. The memory clock is 2250 MHz, with an effective data rate of 18 Gbps. It is equipped with 16 GB of GDDR6 memory on a 256-bit bus, resulting in a memory bandwidth of 576.0 GB/s. The pixel rate is 188.2 GPixel/s and the texture rate is 510.7 GTexel/s. The FP32 performance is 32.69 TFLOPS, and the FP16 performance is also 32.69 TFLOPS with a 1:1 ratio.

The GPU’s benchmark scores are listed as empty, and its average benchmark score is 0, which is a data artifact. However, its percentile rank of 50 indicates that it performs in the middle of all GPUs in the database. This means that while it has a substantial amount of VRAM and a modern feature set, its raw compute performance is average. The 32.69 TFLOPS of FP32 performance is a mid-range figure for desktop GPUs.

For rendering, the GPU’s 16 GB of VRAM is beneficial for large scenes and high-resolution textures. The 576.0 GB/s bandwidth is sufficient for 1440p and some 4K workloads. The RT cores and tensor cores enable ray tracing and DLSS, which can improve visual quality and performance in supported applications. However, the GPU’s average percentile rank suggests that it will not compete with high-end desktop GPUs in compute-heavy rendering tasks. The TDP is 150 W, and it uses a PCIe 4.0 x16 interface, with no power connectors, indicating it is designed for embedded or mobile systems. The GPU is an IGP in terms of slot width, meaning it is likely soldered to the motherboard or a mobile module. This reinforces that the system’s performance is CPU-centric, and the GPU is a capable but not exceptional component.