SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900F + NVIDIA RTX 4000 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
94%
VS
GPU
99%
PROCESSOR

Intel Core i9-13900F

51,730 Benchmark Score
Top 6% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 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

The Intel Core i9-13900F paired with the NVIDIA RTX 4000 Ada Generation is a desktop-class workstation combination that ranks in the 93rd percentile overall. This pairing is defined by a high-core-count CPU with exceptional multi-threaded throughput and a professional GPU with a massive 20 GB memory buffer, making it a formidable tool for compute-heavy and memory-intensive workloads. The data shows a clear emphasis on productivity and rendering performance over raw gaming frame rates, though the combination remains highly capable in that domain as well.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which hosts the Core i9-13900F from the Raptor Lake-S architecture. This is a 24-core, 32-thread processor with a 65 W TDP, which is notably modest for a high-core-count chip. The motherboard must support DDR4 or DDR5 memory, as the CPU features a dual-channel memory bus and includes ECC memory support. The processor provides Gen 5 PCIe with 20 lanes from the CPU, which allows for high-bandwidth connectivity to modern GPUs and NVMe storage devices.

For power delivery, the CPU’s 65 W TDP is a low baseline, but the GPU’s 130 W TDP and the suggested 300 W power supply for the entire system indicate that a reasonable PSU headroom is necessary. The RTX 4000 Ada Generation draws its power from a single 16-pin connector, and the 300 W suggested PSU figure suggests that even a modest power supply can handle this combo, though a quality unit with ample headroom is always advisable for stability under sustained load. The GPU itself is a single-slot card measuring 245 mm in length, which fits easily into most mid-tower or workstation chassis.

A sensible next upgrade path would involve moving to a newer platform with support for DDR5 memory at higher speeds and PCIe Gen 5 storage, since the current setup is limited to Gen 5 on the CPU lanes. The CPU’s multiplier is locked, so overclocking is not an option, but the boost clock of 5.60 GHz already provides strong single-threaded performance. The motherboard choice is critical: users must select a board with the correct chipset to fully utilize the 20 Gen 5 lanes and to feed the CPU’s power requirements, even though the TDP is low. The presence of ECC memory support makes this platform attractive for workstations where data integrity is paramount, and the dual-channel memory bus means that populating two modules is essential for optimal bandwidth.

Benchmark Performance

The benchmark data for this combination reveals a processor that performs strongly across both single-threaded and multi-threaded tests, while the GPU excels in compute-oriented workloads. The Core i9-13900F achieves an average benchmark score of 51730, placing it in the 91st percentile of all CPUs. Its nearest rivals include the AMD Ryzen 9 5950X, which scores 51947 (a delta of -0.4%), and the Intel Core Ultra 5 235HX at 52073 (-0.7%). The i9-13900F is effectively tied with these competitors, with a slight edge over the Intel Core Ultra 9 285T, which scores 51310 (a delta of 0.8%). This means the CPU is within 1% of its closest alternatives, indicating a highly competitive performance tier.

In specific CPU benchmarks, the i9-13900F delivers a Cinebench R23 multi-core score of 40928 and a single-core score of 5778. The Geekbench multi-core score is 19680, with a single-core score of 2533. The 3DMark tests show scaling from 1145 in single-thread to 13985 in max-threads, with intermediate scores of 2265 (2 threads), 4393 (4 threads), 7426 (8 threads), and 9957 (16 threads). This scaling pattern indicates strong thread utilization efficiency, as the score more than doubles from 8 to 16 threads and continues to grow to max threads.

The GPU, the RTX 4000 Ada Generation, achieves an average benchmark score of 135218, placing it in the 95th percentile of all GPUs. Its nearest rivals are the NVIDIA A10M at 135230 (a delta of 0%), the AMD Radeon PRO W6800 at 135396 (-0.1%), and the AMD Radeon Pro W6800X Duo at 135774 (-0.4%). The GPU’s Geekbench OpenCL score is 146593, and its Vulkan score is 123842. These figures place the GPU in a class where it trades blows with professional workstation cards from both NVIDIA and AMD, but the 20 GB VRAM and Ada Lovelace architecture give it a distinct advantage in memory-bound tasks.

The combined picture is one of a high-end workstation: the CPU’s 91st percentile and GPU’s 95th percentile combine for a 93rd percentile overall ranking. This suggests that the pairing is well-balanced for professional workloads, where both the processor and graphics card contribute significantly to performance.

FAQ

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

A: The launch MSRP is $524.

Q: Does the RTX 4000 Ada Generation support real-time ray tracing?

A: Yes, it has 48 RT cores, and its architecture is Ada Lovelace, which supports DirectX 12 Ultimate (12_2) and Vulkan 1.4, indicating full ray tracing and mesh shader support.

Q: What memory types does the Core i9-13900F support?

A: It supports both DDR4 and DDR5 memory, with a dual-channel memory bus, and it also supports ECC memory.

Q: What is the power consumption of the GPU, and what PSU is suggested?

A: The GPU has a TDP of 130 W, and the suggested PSU for the system is 300 W.

Q: How much VRAM does the RTX 4000 Ada Generation have?

A: It has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 360.0 GB/s.

Q: What is the process node for the CPU and GPU?

A: The CPU is built on Intel’s 10 nm process, while the GPU uses TSMC’s 5 nm process.

Q: Is the CPU overclockable?

A: No, the multiplier is locked, so it cannot be overclocked, but it has a boost clock of 5.60 GHz.

Who Should Build It

This build is tailored for professionals and power users who need high compute throughput and large memory buffers. The CPU’s 24 cores and 32 threads, combined with a 91st percentile rank, make it ideal for content creators who render video, compile code, or run complex simulations. The Cinebench R23 multi-core score of 40928 indicates that tasks like 3D rendering in Blender or Cinema 4D will complete rapidly, and the Geekbench multi-core score of 19680 reinforces this strength.

The GPU’s 20 GB VRAM and 95th percentile rank are suited for GPU-accelerated workloads such as machine learning training, scientific computing, and high-resolution video editing. The 360.0 GB/s memory bandwidth and 26.73 TFLOPS of FP32 performance mean that data-intensive operations, like training neural networks or processing large point clouds, will see significant acceleration. The 48 RT cores and 192 tensor cores also make this a viable option for developers working with ray-traced rendering or AI inference.

Students in engineering or computer science programs will benefit from the CPU’s multi-threaded performance for compiling and running simulations, while the GPU can handle CAD workloads or CUDA-based projects. Small business workstations that require reliability, with ECC memory support, will find this pairing suitable for financial modeling, database management, or architectural visualization. Gamers at high resolutions will also appreciate the performance, though this is not the primary target audience, as the GPU is a workstation-class part rather than a gaming-focused card.

CPU Analysis

The Intel Core i9-13900F is a 24-core, 32-thread processor based on the Raptor Lake architecture, built on Intel’s 10 nm process. It has a base clock of 2000 MHz and a boost clock of 5.60 GHz, with a 65 W TDP. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. The die size is 257 mm², and it supports DDR4 and DDR5 memory with ECC.

The benchmark scores reveal a processor that excels in multi-threaded workloads. The Cinebench R23 multi-core score of 40928 is a strong indicator of rendering performance, and the PassMark multi-thread score of 49693 confirms its capability in heavily threaded tasks. The PassMark integer math score of 188022 and floating-point math score of 131007 show that the CPU handles both integer and floating-point operations efficiently, which is critical for scientific computing and financial modeling. The data compression score of 635147 and encryption score of 38214 further demonstrate its strength in data-intensive applications.

Single-threaded performance is also solid, with a Cinebench R23 single-core score of 5778 and a Geekbench single-core score of 2533. The PassMark single-thread score of 4406 is competitive, ensuring that everyday tasks and lightly threaded applications remain responsive. The 3DMark single-thread score of 1145 and 2-thread score of 2265 show that the CPU scales well even with minimal thread counts, which is important for older software or real-time tasks.

The nearest rivals, such as the AMD Ryzen 9 5950X, are within 1% of the i9-13900F’s average score, meaning that the choice between them will come down to platform features like PCIe Gen 5 support and ECC memory rather than raw performance. The CPU’s 91st percentile rank indicates that it outperforms the vast majority of processors on the market, making it a top-tier choice for professional workloads.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation GPU based on the Ada Lovelace architecture, built on TSMC’s 5 nm process. It features 6144 shading units, 192 TMUs, and 64 ROPs, along with 48 RT cores and 192 tensor cores. The GPU has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 360.0 GB/s. The base clock is 1500 MHz, and the boost clock is 2175 MHz, with a memory clock of 2250 MHz (18 Gbps effective). The TDP is 130 W, and it uses a single 16-pin power connector.

The benchmark scores show a GPU that is highly capable in compute workloads. The Geekbench OpenCL score of 146593 places it in the 95th percentile, and the Vulkan score of 123842 indicates strong performance in cross-platform graphics APIs. The FP32 performance of 26.73 TFLOPS is substantial, and the texture rate of 417.6 GTexel/s and pixel rate of 139.2 GPixel/s ensure that rendering tasks are handled efficiently.

The 20 GB VRAM is a key differentiator, as it allows for large datasets to be loaded entirely into memory, reducing the need for constant data transfers. This is particularly useful for AI training, where model weights and intermediate activations can exceed the memory capacity of consumer GPUs. The 48 RT cores provide hardware acceleration for ray tracing, making it suitable for architectural visualization and product design, while the 192 tensor cores accelerate AI inference and training workloads.

The nearest rivals include the NVIDIA A10M and AMD Radeon PRO W6800, both of which are within 1% of the RTX 4000 Ada’s average score. However, the RTX 4000 Ada has a more modern architecture with higher transistor density (121.8M per mm²) and a smaller die size of 294 mm², which contributes to its efficiency. The 360.0 GB/s bandwidth is sufficient for most professional workloads, and the single-slot design makes it easy to integrate into dense workstation configurations.

Gaming Performance

No measured FPS rows exist for this exact combination, so all gaming frame rates discussed here are estimated from the benchmark scores. The CPU’s single-thread performance, with a Geekbench single-core score of 2533 and a 3DMark single-thread score of 1145, is strong enough to avoid bottlenecking most games. The GPU’s 95th percentile rank and 26.73 TFLOPS of FP32 performance suggest that it can handle modern titles at high settings.

For 1080p gaming, the CPU’s high boost clock of 5.60 GHz and strong single-core scores should drive high frame rates, though the GPU’s workstation orientation means that driver optimization for gaming may not be as aggressive as consumer cards. At 1440p, the GPU’s 20 GB VRAM is more than sufficient for high-resolution textures, and the 360.0 GB/s bandwidth supports fast data streaming. At 4K, the GPU’s compute power will be the limiting factor, but it should still deliver playable frame rates in most titles, especially those with DLSS support, given the 192 tensor cores.

The lack of measured FPS data means these are estimates, but the combination of a 91st percentile CPU and 95th percentile GPU suggests that gaming performance will be above average. The GPU’s 48 RT cores enable ray tracing, but the workstation-class drivers may prioritize compute over gaming optimizations. Users who prioritize gaming should consider a consumer GPU, but for those who need professional compute and game occasionally, this pairing will handle most titles at high settings.

Build Overview

This build pairs the Intel Core i9-13900F with the NVIDIA RTX 4000 Ada Generation in a desktop configuration. The CPU is a 24-core, 32-thread processor from the Core 13th Gen series, and the GPU is a workstation-class card from the GeForce 40-series, based on the Ada Lovelace architecture. The combined percentile rank is 93rd, indicating that this system outperforms the vast majority of desktop builds.

The CPU’s average benchmark score of 51730 and the GPU’s average score of 135218 together create a system that is well-suited for demanding professional workloads. The CPU’s 91st percentile and GPU’s 95th percentile are both high, but the GPU is the stronger component relative to its peers. This means the build is slightly GPU-dominated, but the CPU is more than capable of keeping up. The overall tier is high-end workstation, with a focus on compute, rendering, and data-intensive tasks.

The desktop class is confirmed by the build class, and the single-slot GPU, 65 W CPU TDP, and 300 W suggested PSU indicate that this is a relatively power-efficient system for its performance level. The 20 GB VRAM and 36 MB of L3 cache provide ample resources for large workloads, and the support for ECC memory adds a layer of reliability for professional use.

Balance and Bottleneck

The balance between the CPU and GPU is generally well-matched, but the data reveals where each component takes the lead. The CPU’s 91st percentile and GPU’s 95th percentile suggest that the GPU is the stronger component relative to its peers, meaning that in workloads that are purely GPU-bound, the GPU will be the primary driver of performance. However, the CPU’s multi-threaded performance is strong enough to avoid being a bottleneck in most scenarios.

In compute-heavy tasks like 3D rendering, the CPU’s Cinebench R23 multi-core score of 40928 and the GPU’s OpenCL score of 146593 show that both components contribute significantly. The CPU handles geometry processing and physics, while the GPU handles rasterization and ray tracing. In this case, the balance is good, but the GPU’s 20 GB VRAM may become the limiting factor in extremely large scenes, while the CPU’s 24 cores are unlikely to be saturated.

In gaming, the CPU’s single-thread performance, with a Geekbench single-core score of 2533, is sufficient to drive high frame rates, but the GPU’s workstation drivers may limit gaming performance. The FPS scaling from benchmark scores suggests that the GPU will be the bottleneck at higher resolutions, while the CPU may limit frame rates at 1080p in lightly threaded games. The CPU’s 3DMark 2-thread score of 2265 indicates that it handles low-thread-count workloads well, but the GPU’s compute-oriented design may not prioritize gaming optimizations.

For productivity workloads, the balance is more even. The CPU’s PassMark multi-thread score of 49693 and the GPU’s Vulkan score of 123842 show that both components can handle parallel workloads efficiently. The CPU’s 36 MB of L3 cache reduces memory latency, while the GPU’s 360.0 GB/s bandwidth ensures data flows quickly. In mixed workloads, such as video editing with GPU-accelerated effects, the system should avoid significant bottlenecks, though the GPU’s 130 W TDP and the CPU’s 65 W TDP suggest that power is not a limiting factor.