SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KF + 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
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 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
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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

The Intel Core i9-13900KF and NVIDIA RTX 4000 Ada Generation pairing represents a high-end desktop configuration that targets both extreme computational throughput and professional-grade graphics acceleration. The data shows a combined performance percentile of 94, placing this duo in the upper echelon of all possible CPU+GPU combinations. However, the benchmark database contains no measured FPS rows for this exact pairing, meaning all gaming frame rate discussions must be treated as estimates derived from the individual component scores rather than observed gameplay data.

CPU Analysis

The Intel Core i9-13900KF is a 24-core, 32-thread processor built on the Raptor Lake architecture, which Intel manufactures on a 10 nm process node with a die size of 257 mm². The core configuration is hybrid in nature, though the FACT PACK does not specify the exact P-core/E-core split; the available data indicates a base clock of 3.00 GHz and a boost clock of 5.80 GHz, with a 125 W TDP. The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. This cache configuration is critical for workloads that exhibit high data locality, as the large L3 pool reduces memory latency penalties.

Benchmark results reveal a processor that scales exceptionally well with thread count. The 3DMark scores progress from 1188 in single-thread to 2353 in 2-thread, 4643 in 4-thread, 8510 in 8-thread, 11177 in 16-thread, and 15405 in max-thread tests. This near-linear scaling from 1 to 8 threads suggests excellent core utilization, though the curve flattens somewhat beyond 16 threads, indicating diminishing returns from the final thread groups. The Cinebench R23 multicore score of 48855 is particularly telling, as this represents a 7.1x improvement over the single-core score of 6897, demonstrating that the processor can effectively harness its full 32-thread capacity for rendering workloads.

In Passmark tests, the CPU achieves 57729 in multithread and 4584 in single-thread. The integer math score of 206859 versus floating-point math of 150869 reveals a bias toward integer operations, which is common for x86 architectures. Data compression (786218) and encryption (46186) scores are strong, suggesting the processor handles security and archival tasks efficiently. The extended instructions score of 46084 indicates robust SIMD performance, which benefits scientific simulations and media encoding.

The average benchmark score of 61841 places the i9-13900KF at the 93rd percentile of all CPUs. Its nearest rival, the Intel Core Ultra 7 270HX Plus, scores 61834, a delta of 0%. The Intel Core i9-13900K is 0.1% ahead, and the i9-13900T is 0.2% ahead. These negligible deltas mean the i9-13900KF is statistically tied with its closest competitors, making the choice between them dependent on factors like power efficiency or platform features rather than raw performance. The Intel Xeon 636 trails by 0.8%, indicating that this consumer chip rivals server-class silicon in multi-threaded throughput.

Balance and Bottleneck

The CPU's 93rd percentile and GPU's 95th percentile create a near-balanced pairing where neither component dramatically overshadows the other. For heavily multi-threaded workloads like Cinebench R23 multicore, the CPU's 48855 score suggests it can feed the GPU with data faster than most processors, minimizing the risk of a CPU-side bottleneck. The GPU's 26.73 TFLOPS of FP32 throughput is substantial, but the CPU's 32 threads ensure that geometry processing and physics calculations keep pace.

The 3DMark max-thread score of 15405 versus the 8-thread score of 8510 indicates that the CPU saturates its memory bandwidth effectively at high thread counts. This is relevant for gaming, where modern titles can utilize 8-16 threads. The single-thread score of 1188 in 3DMark and 4584 in Passmark are competitive, ensuring that the CPU does not become the limiting factor in lightly-threaded scenarios. The passmark physics score of 2956 is modest, which could be a minor bottleneck in physics-heavy simulations, but the GPU's RT cores offload much of this work in modern APIs.

The combined percentile of 94 suggests that in most applications, the system will be GPU-limited at high resolutions. The GPU's 20 GB of VRAM and 360.0 GB/s bandwidth provide ample headroom for textures and geometry, but the CPU's 36 MB L3 cache helps reduce the frequency of memory fetches, keeping the GPU fed. In synthetic benchmarks, the GPU's Geekbench OpenCL score of 146593 and Vulkan score of 123842 indicate strong compute capabilities, but the CPU's Passmark data compression score of 786218 implies that I/O-bound tasks will not be throttled by the processor.

Benchmark Performance

The CPU's average benchmark score of 61841 sits at the 93rd percentile, with the nearest rival (Core Ultra 7 270HX Plus) at 61834. The GPU's average benchmark score of 135218 places it at the 95th percentile, with the NVIDIA A10M at 135230 (0% delta), AMD Radeon PRO W6800 at 135396 (-0.1%), AMD Radeon Pro W6800X Duo at 135774 (-0.4%), and AMD Radeon PRO V620 at 136472 (-0.9%). These deltas are remarkably small, indicating that the RTX 4000 Ada is firmly in a performance tier with several professional workstation cards, but none of them hold a decisive edge.

The combined picture shows a system that excels in both CPU-bound and GPU-bound tasks. The CPU's Cinebench R20 multicore score of 20519 and Geekbench multicore of 22486 demonstrate strong rendering and general-purpose performance. The GPU's Geekbench Vulkan score of 123842 (which is lower than OpenCL at 146593) suggests that the Vulkan driver is slightly less optimized, but still highly capable. The CPU's Passmark single-thread score of 4584 ensures snappy responsiveness in everyday tasks, while the GPU's 26.73 TFLOPS FP32 performance handles compute-heavy rendering and simulation workloads.

When comparing the CPU to its rivals, the 0% delta with the Core Ultra 7 270HX Plus is notable because that chip likely has a different core topology and power profile. The 0.1% advantage over the i9-13900K is within measurement noise. For the GPU, the -0.9% delta with the AMD Radeon PRO V620 is the largest gap, but still under 1%, meaning real-world differences will be minimal.

Gaming Performance

The FACT PACK contains no measured FPS data for this CPU+GPU combination, so all frame rate figures are estimates derived from the individual benchmark scores. The CPU's 3DMark 8-thread score of 8510 and the GPU's 95th percentile position suggest that this system is capable of high-refresh-rate gaming at 1440p and 4K resolutions. The GPU's 20 GB of VRAM is far beyond what current games require, providing ample headroom for high-resolution textures and future titles.

For esports titles that are typically CPU-bound, the i9-13900KF's single-thread score of 1188 in 3DMark and 4584 in Passmark indicate strong performance, likely exceeding 200 FPS in games like CS2 or Valorant at 1080p. The GPU's 26.73 TFLOPS FP32 throughput ensures that even at 4K, visually demanding titles like Cyberpunk 2077 or Alan Wake 2 will run at playable frame rates, though the exact numbers depend on the title's optimization. The GPU's 48 RT cores and 192 tensor cores enable ray tracing and DLSS features, which can boost frame rates in supported games.

The lack of measured FPS data means these expectations are based on the components' relative positions in benchmark databases. A system at the 94th combined percentile will generally outperform the vast majority of gaming PCs, but the exact FPS will vary by title. The GPU's 360.0 GB/s memory bandwidth is sufficient for 4K textures, and the CPU's 36 MB L3 cache minimizes stutter in open-world games with large streaming environments.

Upgrade Path and Platform

The Intel Core i9-13900KF uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. The CPU also supports ECC memory, which is unusual for a consumer chip and beneficial for workstation reliability. The PCIe interface is Gen 5 with 20 lanes from the CPU, providing high-bandwidth connectivity for the latest SSDs and GPUs. The RTX 4000 Ada uses PCIe 4.0 x16, which is fully compatible with the Gen 5 slot, though it will run at Gen 4 speeds.

The CPU's TDP is 125 W, and the GPU's TDP is 130 W, with a suggested PSU of 300 W for the GPU alone. A sensible PSU choice for the entire system would need to account for the CPU's boost power draw, which is not specified in the FACT PACK but is likely higher than the 125 W TDP under load. The GPU uses a single 16-pin power connector, which is standard for modern NVIDIA cards. The single-slot design of the GPU (245 mm length, 112 mm height) means it will fit in most ATX cases without clearance issues.

For upgrades, the Socket 1700 platform reaches the end of its lifecycle with the 13th generation, meaning future CPU upgrades are limited to other Raptor Lake variants. The GPU, however, can be moved to a newer platform when the time comes. The PCIe Gen 5 support on the CPU is forward-looking, but the GPU's Gen 4 interface will not bottleneck it in current applications. The 20 GB of VRAM is substantial for professional workloads, so a GPU upgrade would only be necessary for extreme 8K rendering or massive AI model training.

Usage Scenarios

High-Refresh Gaming: The CPU's 8-thread 3DMark score of 8510 and GPU's 95th percentile position indicate strong 1440p and 4K performance. The 20 GB VRAM ensures no texture-related stutter in demanding titles, and the 26.73 TFLOPS FP32 throughput supports high frame rates at ultra settings.

Streaming: The CPU's 32 threads provide ample headroom for encoding while gaming. The Passmark data compression score of 786218 suggests fast x264 encoding, and the GPU's NVENC (implied by the Ada architecture, though not explicitly listed) offers hardware acceleration. The 48 RT cores do not impact streaming directly but free up CPU resources.

Video Editing: The Cinebench R23 multicore score of 48855 handles 4K timeline rendering efficiently. The GPU's 20 GB VRAM allows for large preview buffers and GPU-accelerated effects. The Geekbench OpenCL score of 146593 indicates strong compute for effects processing.

3D Rendering: The CPU's 48855 in Cinebench R23 and GPU's 26.73 TFLOPS FP32 provide a balanced rendering system. The 192 tensor cores accelerate denoising and AI-based upscaling in renderers like Octane or Redshift. The 20 GB VRAM accommodates complex scenes.

Software Development: The Passmark integer math score of 206859 handles compilation tasks quickly. The 32 threads allow for parallel builds, and the 36 MB L3 cache reduces recompilation times for large codebases. The single-thread score of 4584 ensures snappy IDE responsiveness.

Student and Office Work: This configuration is overkill for basic office tasks, but the Passmark single-thread score of 4584 ensures instant application launches. The 93rd CPU percentile means no slowdown in spreadsheet calculations or database queries, though the power draw is unnecessary for such workloads.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is built on the AD104 chip using a 5 nm process from TSMC, with 35,800 million transistors on a 294 mm² die. The GPU has 6144 shading units, 192 texture mapping units, and 64 raster operation units. The 48 RT cores and 192 tensor cores provide dedicated hardware for ray tracing and AI workloads. The clocks are 1500 MHz base and 2175 MHz boost, with memory running at 2250 MHz (18 Gbps effective) across a 160-bit bus, yielding 360.0 GB/s of bandwidth.

The 20 GB of GDDR6 memory is a significant feature for professional rendering, as it allows entire scenes to reside in VRAM without paging to system memory. The pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s indicate strong fill rates for high-resolution output. The FP32 throughput of 26.73 TFLOPS is identical to FP16 (1:1), which is unusual and beneficial for workloads that can use FP16 precision, as they effectively double the compute throughput.

The GPU's benchmark scores are 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan. The OpenCL score being higher suggests that the compute drivers are well-optimized for general-purpose GPU computing. The 95th percentile position means it outperforms 95% of all GPUs in the database. The nearest rival, the NVIDIA A10M, has a delta of 0%, indicating they are effectively identical in performance, despite the A10M likely being a different form factor (mobile or embedded). The AMD Radeon PRO W6800 is 0.1% behind, and the W6800X Duo is 0.4% behind, all within noise.

The 5 nm process node and 121.8 million transistors per mm² density provide excellent power efficiency, with a TDP of only 130 W. This is remarkable for a workstation GPU, as it allows for single-slot cooling and low system power draw. The display outputs include 4x DisplayPort 1.4a, which supports high refresh rates at 4K or multiple monitors.

FAQ

Q: What is the combined performance percentile of this CPU+GPU pairing?

A: The combined percentile is 94, meaning this configuration outperforms 94% of all recorded CPU+GPU combinations in the database.

Q: How does the CPU compare to its nearest rival, the Intel Core Ultra 7 270HX Plus?

A: The i9-13900KF has an average benchmark score of 61841, while the Core Ultra 7 270HX Plus scores 61834, resulting in a 0% delta — they are statistically tied in performance.

Q: What is the GPU's memory bandwidth and VRAM size?

A: The RTX 4000 Ada Generation has 20 GB of GDDR6 memory with a 160-bit bus, providing 360.0 GB/s of memory bandwidth.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900KF supports ECC memory, which is a feature typically found in workstation or server platforms.

Q: What is the GPU's FP32 compute throughput?

A: The GPU delivers 26.73 TFLOPS of FP32 performance, and notably, the FP16 throughput is also 26.73 TFLOPS (1:1 ratio).

Q: Is there measured FPS data for this specific pairing?

A: No, the FACT PACK contains no measured FPS rows for the Intel Core i9-13900KF + RTX 4000 Ada combination, so all frame rate discussions are estimates based on benchmark scores.

Q: What is the suggested PSU wattage for the GPU alone?

A: The suggested PSU for the RTX 4000 Ada Generation is 300 W, which covers the GPU's 130 W TDP with ample headroom.

Who Should Build It

This configuration targets users who need both high-end CPU and GPU performance for mixed workloads. Gamers at 1440p or 4K resolutions will benefit from the 95th percentile GPU and the CPU's strong single-thread performance, ensuring high frame rates in both CPU-bound and GPU-bound titles. Content creators who edit 4K video or work with complex 3D scenes will find the 20 GB VRAM and 32 threads essential for smooth timelines and render times. Software developers compiling large codebases will appreciate the Passmark integer math score of 206859 and the 36 MB L3 cache.

The system is also suitable for small business workstations that require reliability (ECC memory support) and performance for tasks like financial modeling or data analysis. Students in engineering or computer science programs will benefit from the capability to run simulation software, though the power draw may be excessive for dorm room environments. The single-slot GPU and 125 W CPU TDP mean the system can be built in a compact case, but the overall cost is high, making this a professional-grade tool rather than a budget build.

Build Overview

This is a desktop-class build that pairs Intel's flagship Raptor Lake processor, the Core i9-13900KF, with NVIDIA's professional Ada Lovelace workstation GPU, the RTX 4000 Ada Generation. The CPU operates on the LGA 1700 socket with DDR4/DDR5 memory support, and the GPU uses PCIe 4.0 x16. The combined performance percentile of 94 places this build in the top 6% of all recorded configurations, making it suitable for the most demanding applications, though it lacks the absolute top-tier status of configurations featuring higher-end GPUs or newer CPU generations. The CPU's 93rd percentile and GPU's 95th percentile are closely matched, ensuring balanced performance across a wide range of workloads.