SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900 + 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
95%
VS
GPU
99%
PROCESSOR

Intel Core i9-13900

60,676 Benchmark Score
Top 5% 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
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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 i9-13900 is a 24-core, 32-thread Raptor Lake-S desktop processor built on Intel's 10 nm process. It runs on the Intel Socket 1700 platform and supports both DDR4 and DDR5 memory in a dual-channel configuration. The base clock sits at 2000 MHz with a boost clock reaching 5.60 GHz, and the 65 W TDP makes it a relatively power-efficient flagship. The cache hierarchy includes 80 KB L1 per core, 2 MB L2 per core, and 36 MB of shared L3 cache. ECC memory support is present, and the integrated UHD Graphics 770 provides a fallback display output.

Benchmark results show a CPU that dominates in multi-threaded workloads. The Cinebench R23 multi-core score of 37931 places it in the top tier of desktop processors, while the single-core score of 5355 demonstrates excellent per-thread performance. In Geekbench, the multi-core score of 21164 and single-core score of 2604 reinforce this dual strength. The Passmark multi-thread score of 45680 and single-thread score of 4309 confirm that the i9-13900 does not sacrifice single-core speed for core count.

The CPU holds a 92nd percentile position among all CPUs, with an average benchmark score of 60676. Its nearest rival, the Intel Xeon Gold 6338T, scores 60572, a delta of just 0.2%. The AMD Ryzen 7 8745HX and Ryzen 9 7945HX both trail by 1%, while the Intel Core i9-14900F is 1.1% behind. This tight clustering means the i9-13900 is within striking distance of both server-grade and newer mobile flagships.

For real workloads, the Cinebench R23 multi-core result translates to fast video rendering and 3D scene compilation. The single-core score of 5355 ensures snappy application responsiveness and strong performance in lightly-threaded tasks like spreadsheet recalculation or script execution. The Passmark data compression score of 577285 and encryption score of 35242 indicate robust file archiving and secure data handling capabilities. Floating-point math at 120492 and integer math at 176107 show balanced arithmetic throughput across different instruction types.

# FAQ

Q: What is the launch MSRP of the Intel Core i9-13900?

A: The launch MSRP is $549.

Q: How does the i9-13900 compare to its closest rival, the Xeon Gold 6338T?

A: The i9-13900 has an average benchmark score of 60676, which is 0.2% higher than the Xeon Gold 6338T's 60572. This is a negligible difference, essentially placing them at parity.

Q: Does the i9-13900 support ECC memory?

A: Yes, ECC memory support is listed as true, which is notable for a mainstream desktop processor and useful for error-sensitive workloads.

Q: What is the boost clock speed of the i9-13900?

A: The boost clock reaches 5.60 GHz, while the base clock is 2000 MHz. The 65 W TDP is remarkably low for a CPU with 24 cores.

Q: Is the multiplier unlocked for overclocking?

A: No, the multiplier is locked (multiplierUnlocked is false). This means overclocking is restricted, and users should rely on the stock boost behavior.

Q: What is the process node and die size of the i9-13900?

A: The process node is 10 nm, and the die size is 257 mm². The foundry is Intel.

Q: What integrated graphics does the i9-13900 include?

A: It includes UHD Graphics 770, which provides basic display output without needing a discrete GPU.

# Gaming Performance

No measured FPS rows exist for this exact combination of the Intel Core i9-13900 and NVIDIA RTX 4000 SFF Ada Generation. The FACT PACK contains no measuredFps data, so all FPS figures discussed here are estimates derived from the benchmark scores, not direct measurements.

The CPU's single-core performance is the primary driver for gaming frame rates. A Cinebench R23 single-core score of 5355 and Geekbench single-core score of 2604 indicate strong per-thread performance, which is critical for games that rely on a few fast cores. The Passmark single-thread score of 4309 reinforces this, suggesting the i9-13900 can feed a high-end GPU without becoming a bottleneck in most titles.

The GPU side is equally compelling. The RTX 4000 SFF Ada Generation scores 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, placing it at the 95th percentile of all GPUs. Its 20 GB of GDDR6 memory on a 160-bit bus with 280.0 GB/s bandwidth provides ample headroom for high-resolution textures and modern game assets. The 6144 shading units and 48 RT cores suggest strong rasterization and ray tracing throughput.

For 1080p gaming, the combination of a top-tier single-core CPU and a 95th percentile GPU should deliver very high frame rates in esports titles and demanding AAA games alike, though exact numbers cannot be stated. At 1440p, the GPU's compute power (19.17 TFLOPS FP32) becomes more relevant, and the 20 GB VRAM ensures texture-heavy scenes do not exceed memory capacity. At 4K, the GPU will likely be the limiting factor, but the high bandwidth and large VRAM pool should sustain playable frame rates in most titles.

The pixel rate of 99.84 GPixel/s and texture rate of 299.5 GTexel/s indicate the GPU can handle high-resolution rendering with substantial post-processing effects. The 192 tensor cores provide DLSS acceleration, which can boost frame rates in supported titles. Overall, the estimated gaming performance is strong across resolutions, with the CPU providing a solid foundation and the GPU delivering the graphical muscle.

# Usage Scenarios

High-Refresh Gaming: The i9-13900's single-core score of 5355 in Cinebench R23 and the RTX 4000 SFF's 95th percentile GPU ranking combine to support high-refresh 1080p and 1440p gaming. The CPU's 24 cores ensure background tasks do not interfere with game performance, while the GPU's 19.17 TFLOPS FP32 compute delivers the frame rates needed for 144 Hz or 165 Hz displays.

Streaming: The 32 threads of the i9-13900 handle encoding workloads alongside gaming without significant impact on frame rates. The Passmark multi-thread score of 45680 provides ample headroom for x264 or x265 encoding, while the GPU's tensor cores can accelerate NVENC-based streaming. The CPU's 92nd percentile position ensures smooth multitasking during broadcasts.

Video Editing: The Cinebench R23 multi-core score of 37931 accelerates timeline rendering and export tasks in applications like Premiere Pro or DaVinci Resolve. The GPU's 20 GB VRAM and 280.0 GB/s bandwidth handle 4K or 8K footage, while the 48 RT cores assist with effects and color grading. The combination of high CPU multi-thread and GPU compute scores (124812 OpenCL) makes this a capable editing workstation.

3D Rendering: The i9-13900's 37931 Cinebench R23 multi-core score directly translates to faster CPU-based rendering in Blender or Cinema 4D. The GPU's 6144 shading units and 19.17 TFLOPS FP32 provide strong GPU-accelerated rendering performance. The 95th percentile GPU ranking means this system handles complex scenes with multiple light sources and high polygon counts.

Software Development: The single-core performance of 5355 in Cinebench R23 and 2604 in Geekbench ensures fast compilation of single-threaded build steps, while the 32 threads accelerate parallel builds using Make or CMake. The Passmark integer math score of 176107 indicates robust arithmetic throughput for code execution and testing. The 65 W CPU TDP keeps power consumption reasonable during long compile sessions.

Student and Office Work: The i9-13900's single-thread score of 4309 in Passmark handles word processing, spreadsheets, and web browsing with ease. The integrated UHD Graphics 770 provides display output for office tasks without needing the discrete GPU. The 92nd percentile CPU ranking ensures this system will not feel slow for years, though the GPU is overkill for typical office workflows.

# Benchmark Performance

The Intel Core i9-13900 achieves an average benchmark score of 60676, placing it at the 92nd percentile of all CPUs. Its closest rival, the Intel Xeon Gold 6338T, scores 60572, a 0.2% deficit. The AMD Ryzen 7 8745HX and Ryzen 9 7945HX both score 60104 and 60099 respectively, each 1% behind. The Intel Core i9-14900F scores 60008, trailing by 1.1%. This grouping shows the i9-13900 is at the leading edge of CPU performance, though the margins over rivals are slim.

Specific CPU benchmark results include Cinebench R23 multi-core at 37931 and single-core at 5355, Geekbench multi-core at 21164 and single-core at 2604, and Passmark multi-thread at 45680 with single-thread at 4309. The Cinebench R20 scores are 15931 multi-core and 2249 single-core, while Cinebench R15 shows 3823 multi-core and 539 single-core. Passmark sub-tests show data compression at 577285, encryption at 35242, extended instructions at 32760, prime numbers at 186, floating-point math at 120492, integer math at 176107, physics at 2484, and random string sorting at 64396.

The NVIDIA RTX 4000 SFF Ada Generation achieves an average benchmark score of 117088, placing it at the 95th percentile of all GPUs. Its nearest rival, the NVIDIA GB10, scores 117393, a 0.3% advantage. The AMD Radeon PRO W7700 scores 118976, 1.6% higher, while the NVIDIA Tesla V100 SXM2 16 GB scores 114395, 2.4% lower. The NVIDIA RTX A5500 Mobile scores 113944, 2.8% lower. The GPU's Geekbench OpenCL score is 124812 and Vulkan score is 109364.

The combined percentile for this CPU+GPU pair is 94, indicating that the system sits at the top end of desktop configurations. The CPU's 92nd percentile and GPU's 95th percentile are closely matched, meaning neither component dramatically outperforms the other. This balance is reflected in the 94th combined percentile, which suggests a well-matched pairing.

# Who Should Build It

The Intel Core i9-13900 + NVIDIA RTX 4000 SFF Ada Generation is a desktop build targeting users who need both high CPU throughput and GPU compute power in a compact form factor. The GPU's dual-slot design and 168 mm length make it suitable for small form factor cases, while the CPU's 65 W TDP keeps cooling requirements modest.

Gamers at 1440p or 4K resolution will benefit from the GPU's 95th percentile ranking and 20 GB VRAM, which handles high-resolution textures without exceeding memory limits. The CPU's single-core performance ensures minimal bottleneck in game logic and physics calculations. Esports players at 1080p will find the combination more than sufficient for high-refresh monitors.

Content creators working with video editing software will appreciate the CPU's 37931 Cinebench R23 multi-core score for fast exports and the GPU's 124812 OpenCL score for GPU-accelerated effects. 3D artists using Blender or Maya can leverage the 48 RT cores for viewport rendering and the 6144 shading units for final frame rendering. The 20 GB VRAM is particularly useful for large scenes that exceed the 8 GB or 16 GB limits of consumer cards.

Software developers compiling large codebases will benefit from the 32 threads, with the Passmark integer math score of 176107 indicating strong arithmetic throughput. The single-core performance of 5355 in Cinebench R23 ensures quick response times in IDEs and terminal operations. The ECC memory support adds reliability for long-running build servers or development workstations.

Students and small business workstations will find the system capable of handling any academic or office software, though the GPU is more powerful than needed for document processing. The integrated UHD Graphics 770 provides a backup display output if the discrete GPU is disabled. The 65 W CPU TDP and 70 W GPU TDP result in a system that is quiet and energy-efficient for a desktop, making it suitable for shared workspaces.

# Balance and Bottleneck

The CPU and GPU are closely matched in percentile terms, with the CPU at 92 and the GPU at 95. This 3-point gap indicates the GPU holds a slight advantage, meaning that in GPU-bound workloads like gaming at high resolutions, the GPU will be the limiting factor. The combined percentile of 94 reflects this near-parity.

In CPU-bound scenarios, such as video encoding or software compilation, the i9-13900's 32 threads and 37931 Cinebench R23 multi-core score will drive performance. The GPU's 95th percentile ranking means it can keep up with the CPU's output in most compute tasks. However, in workloads that rely heavily on single-thread performance, the CPU's 5355 Cinebench R23 single-core score becomes the constraint, though it is still among the fastest available.

The GPU's memory bandwidth of 280.0 GB/s is modest compared to its compute capabilities, which could create a bottleneck in memory-intensive tasks like large data set processing or high-resolution texture streaming. The 160-bit bus width and 20 GB capacity provide ample storage but limit raw bandwidth. The CPU's dual-channel memory support with DDR4 or DDR5 further compounds this, as memory bandwidth is shared between the CPU and GPU for data transfers.

The FPS scaling between the CPU and GPU is not measured, but the percentile gap suggests that at 1080p, the CPU might occasionally bottleneck the GPU in lightly-threaded games, while at 4K, the GPU will be the clear constraint. The 19.17 TFLOPS FP32 compute of the GPU is substantial, but the 70 W TDP and compact SFF design mean sustained performance may be lower than larger desktop GPUs.

Overall, the system is well balanced, with neither component drastically outperforming the other. The CPU's 92nd percentile and GPU's 95th percentile create a configuration where the GPU is slightly ahead, but the gap is small enough that most workloads will see near-optimal utilization of both components.

# Build Overview

This is a desktop build pairing the Intel Core i9-13900 with the NVIDIA RTX 4000 SFF Ada Generation. The CPU is a 24-core, 32-thread Raptor Lake-S processor with a boost clock of 5.60 GHz and a 65 W TDP, while the GPU is a compact dual-slot workstation card with 20 GB GDDR6 memory and a 70 W TDP. The combined percentile of 94 places this system in the top tier of desktop configurations.

The CPU's 92nd percentile ranking and GPU's 95th percentile ranking indicate a high-performance pairing that excels in both productivity and compute tasks. The 65 W CPU TDP and 70 W GPU TDP result in a total system power draw that is manageable with a 250 W suggested PSU, making this an energy-efficient high-end desktop. The GPU's 168 mm length and dual-slot design allow it to fit in compact cases, while the CPU's Socket 1700 platform offers broad motherboard compatibility.

The system targets users who need workstation-class GPU performance with a powerful CPU, without the bulk or power consumption of traditional desktop components. The 94th combined percentile confirms that this is a top-tier configuration, suitable for demanding applications across gaming, content creation, and professional compute workloads.

# GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU based on the AD104 chip with Ada Lovelace architecture, built on a 5 nm process at TSMC. It contains 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8M per mm². The GPU offers 20 GB of GDDR6 memory on a 160-bit bus with 280.0 GB/s bandwidth, and memory clocks at 1750 MHz with 14 Gbps effective speed.

The 6144 shading units, 192 TMUs, and 64 ROPs provide substantial rasterization throughput. The 48 RT cores and 192 tensor cores enable hardware-accelerated ray tracing and AI-based features like DLSS. The base clock is 720 MHz with a boost clock of 1560 MHz, delivering 19.17 TFLOPS of FP32 compute and 19.17 TFLOPS of FP16 (1:1 ratio). The pixel rate is 99.84 GPixel/s and the texture rate is 299.5 GTexel/s.

The GPU achieves an average benchmark score of 117088, placing it at the 95th percentile of all GPUs. Its nearest rival, the NVIDIA GB10, scores 117393, a 0.3% difference. The AMD Radeon PRO W7700 scores 118976, 1.6% higher, while the NVIDIA Tesla V100 SXM2 16 GB scores 114395, 2.4% lower. The NVIDIA RTX A5500 Mobile scores 113944, 2.8% lower. This positions the RTX 4000 SFF Ada Generation as a strong performer, slightly behind the W7700 but ahead of several other workstation GPUs.

The Geekbench OpenCL score of 124812 and Vulkan score of 109364 indicate strong compute performance across different APIs. The 70 W TDP is remarkably low for this level of performance, enabled by the 5 nm process and efficient Ada Lovelace architecture. The dual-slot design, 168 mm length, and 69 mm height make it suitable for small form factor workstations, while the 4x mini-DisplayPort 1.4a outputs support multi-monitor setups. The PCIe 4.0 x16 interface provides sufficient bandwidth for most workloads, and the 250 W suggested PSU is modest for a GPU of this capability.

The 20 GB VRAM is a key advantage for rendering large scenes, machine learning models, or high-resolution textures, as it exceeds the memory capacity of most consumer GPUs. The 280.0 GB/s bandwidth, while not exceptional, is adequate for the 160-bit bus and supports smooth data transfer for compute tasks. The 48 RT cores enable real-time ray tracing in supported applications, while the 192 tensor cores accelerate AI-based denoising and upscaling. The DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 API support ensure compatibility with modern software.