SYSTEM ANALYZER

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

64,051 Benchmark Score
Top 4% Market Ranking
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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

# GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated on TSMC's 5 nm process with 35,800 million transistors on a 294 mm² die. It carries 20 GB of GDDR6 memory on a 160-bit bus, delivering 360.0 GB/s of bandwidth. The memory clock runs at 2250 MHz, which translates to 18 Gbps effective. The GPU has a base clock of 1500 MHz and a boost clock of 2175 MHz. The memory subsystem is substantial for professional workloads, though the 160-bit bus width is narrower than what gamers might expect from a high-end consumer card; the 20 GB capacity is the headline feature here, not the raw bandwidth.

The compute configuration includes 6144 shading units, 192 texture mapping units, and 64 raster output units. The RT hardware consists of 48 RT cores, and there are 192 tensor cores. Pixel rate is 139.2 GPixel/s, and texture rate is 417.6 GTexel/s. FP32 throughput is 26.73 TFLOPS, with FP16 also at 26.73 TFLOPS (1:1 ratio). This GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Display output is handled by four DisplayPort 1.4a connectors. The card is single-slot, 245 mm long, 112 mm tall, and requires a single 16-pin power connector.

In benchmark terms, the RTX 4000 Ada Generation scores 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan. Its average benchmark score is 135,218, placing it in the 95th percentile of all GPUs. The nearest rivals are tightly clustered: NVIDIA A10M scores 135,230 (0% delta), AMD Radeon PRO W6800 scores 135,396 (-0.1% delta), AMD Radeon Pro W6800X Duo scores 135,774 (-0.4% delta), and AMD Radeon PRO V620 scores 136,472 (-0.9% delta). The data shows this GPU is essentially at parity with those professional cards, within a single percentage point in either direction. For rendering workloads, the 20 GB VRAM is the differentiator — it allows larger scenes and higher-resolution textures to stay resident in memory, which is critical for GPU-accelerated rendering. The 48 RT cores provide hardware-accelerated ray tracing, and the 192 tensor cores handle AI-accelerated denoising and inference tasks, which are increasingly part of modern render pipelines.

# Usage Scenarios

High-refresh gaming: The RTX 4000 Ada Generation is a workstation GPU, and the benchmark data reflects that orientation. Its Geekbench OpenCL score of 146,593 and Vulkan score of 123,842 are strong compute results, but no measured FPS data exists for this combination. Estimated gaming performance would be driven by the CPU's strong single-thread score of 7252 in Cinebench R23, which suggests high frame rates at lower resolutions, but the GPU's professional focus and 160-bit memory bus likely limit extreme high-refresh 1080p or 1440p gaming compared to consumer gaming cards in the same price tier.

Streaming: The CPU's 24 cores and 32 threads provide ample headroom for encoding while gaming. The Passmark multithread score of 60,644 and 3DMark max threads score of 16,243 indicate significant parallel processing capability. The GPU's 192 tensor cores could accelerate AI-based encoding features, though the data does not specify encoder hardware. The combination of a 150 W TDP CPU and 130 W TDP GPU means the system runs cool enough for sustained streaming sessions, but the absence of measured FPS data means streaming performance should be estimated conservatively.

Video editing: The GPU's 20 GB VRAM is a major asset for video editing, allowing large timelines and multi-layer compositions to be processed without spilling to system memory. The Geekbench OpenCL score of 146,593 indicates strong compute performance for effects and transitions. The CPU's Cinebench R23 multicore score of 51,368 and Geekbench multicore score of 23,607 provide fast export and rendering times. The 89.6 GB/s memory bandwidth of the CPU may be a limiting factor for very high-resolution multi-stream editing, but the overall package is well-suited to professional video work.

3D rendering: This is where the combination shines. The GPU's 48 RT cores and 192 tensor cores accelerate ray tracing and AI denoising. The 20 GB VRAM handles complex scenes with high-resolution textures. The CPU's 24 cores, with a Cinebench R15 multicore score of 5177 and R20 multicore score of 21,574, provide fast CPU-based rendering for scenes that do not fit in GPU memory. The Passmark floating point math score of 154,805 indicates strong numerical processing. The combined 94th percentile of this pairing places it in the upper tier for 3D workstations.

Software development: The CPU's 24 cores and 32 threads, with a Passmark multithread score of 60,644, handle parallel builds and test suites efficiently. The Passmark data compression score of 814,838 and random string sorting score of 90,257 indicate fast file operations and data processing. The GPU's compute capabilities are useful for machine learning development, with the 192 tensor cores providing acceleration for training and inference. The 5 nm GPU process node and 10 nm CPU process node both contribute to efficient power consumption during long compile sessions.

Student and office work: This is overkill for typical student and office tasks, but the data shows it would handle them effortlessly. The CPU's single-thread performance — 7252 in Cinebench R23 and 2771 in Geekbench single-core — ensures snappy application response. The Passmark single-thread score of 4712 confirms strong per-core performance. For students in engineering or data science programs, the 20 GB GPU memory and high compute throughput would handle CAD, simulation, and machine learning assignments. Office work would run at negligible load, leaving the system nearly silent.

# CPU Analysis

The Intel Core i9-13900KS is a 24-core, 32-thread desktop processor from the Core 13th Gen series, built on the Raptor Lake architecture (Raptor Lake-S codename) using Intel's 10 nm process. The base clock is 3.20 GHz with a boost clock of 6.00 GHz. The die size is 257 mm². The cache hierarchy includes 80 KB L1 per core, 2 MB L2 per core, and 36 MB of shared L3 cache. Memory support covers both DDR4 and DDR5 in dual-channel configuration, with a memory bandwidth of 89.6 GB/s. ECC memory is supported. The CPU provides Gen 5 PCIe with 20 lanes (CPU only). Integrated graphics are UHD Graphics 770. It uses the Intel Socket 1700, has a TDP of 150 W, and the multiplier is unlocked. The launch MSRP is $699.

The benchmark scores paint a clear picture of a processor that excels in both single-threaded and multi-threaded workloads. The Cinebench R23 multicore score of 51,368 is exceptionally high. The R20 multicore score of 21,574 and R15 multicore score of 5177 show consistent scaling across benchmark generations. The 3DMark scores demonstrate thread scaling: 2412 for 2 threads, 4754 for 4 threads, 8812 for 8 threads, 11,616 for 16 threads, and 16,243 for max threads. This progression shows that the CPU scales effectively up to its full 32-thread count, though the gains diminish beyond 16 threads — from 11,616 to 16,243 is a 40% increase when doubling from 16 to 32 threads, which is typical for a hybrid architecture with performance and efficiency cores.

The Geekbench scores of 23,607 multicore and 2771 single-core confirm its position. The Passmark results show specialized strengths: integer math at 211,027, floating point math at 154,805, data encryption at 47,772, extended instructions at 48,217, and physics at 3441. The data compression score of 814,838 is particularly noteworthy for file archiving and database workloads. The average benchmark score is 64,051, placing the CPU in the 93rd percentile of all CPUs. The nearest rivals are remarkably close: AMD EPYC 7343 at 64,202 (-0.2% delta), AMD Ryzen AI Max PRO 390 at 63,765 (0.4% delta), Intel Core Ultra 7 265F at 64,438 (-0.6% delta), and Intel Core Ultra 7 265 at 64,640 (-0.9% delta). The i9-13900KS essentially ties these processors in average score, yet it does so with a hybrid architecture that prioritizes single-thread boost up to 6.00 GHz, which is valuable for lightly threaded workloads. The Passmark find prime numbers score of 257 is low, indicating this is not a specialized integer-prime benchmark performer, but that has minimal relevance to real-world workloads.

# Who Should Build It

The target user for this Intel Core i9-13900KS + NVIDIA RTX 4000 Ada Generation pairing is a professional who needs both high single-thread responsiveness and massive parallel throughput. The CPU's 93rd percentile and GPU's 95th percentile, combined to a 94th percentile pairing, indicate a top-tier desktop workstation. Gamers at 1440p or 4K would benefit from the 20 GB VRAM and the CPU's 6.00 GHz boost clock, but the GPU's workstation orientation means consumer gaming cards might offer better price-to-performance for pure gaming; the data shows no measured FPS, so gaming estimates rely on the benchmark scores.

Content creators working in 3D rendering, video editing, or motion graphics are the primary audience. The 20 GB VRAM allows large scenes, and the 24-core CPU handles simulation and caching tasks. The 192 tensor cores accelerate AI-based workflows like denoising and upscaling. Developers working on large codebases, particularly those using parallel build systems, will see fast compiles from the 60,644 Passmark multithread score. Data scientists and machine learning engineers benefit from the tensor cores and the large memory capacity.

Students in engineering, architecture, or data science programs would find this system capable of handling the most demanding coursework, from CAD and finite element analysis to deep learning model training. Small business workstations for rendering farms or simulation labs would benefit from the combination's efficiency — the 150 W CPU TDP and 130 W GPU TDP keep power requirements manageable. The suggested PSU of 300 W for the GPU and a 150 W CPU TDP mean a modest power supply can drive this system, which is a practical advantage for multi-GPU or multi-node setups.

# Balance and Bottleneck

The balance between this CPU and GPU is well-matched for compute-heavy workloads. The CPU's Passmark multithread score of 60,644 and the GPU's Geekbench OpenCL score of 146,593 suggest that either component can become the bottleneck depending on the workload. For GPU-accelerated rendering, the GPU is likely the limiting factor, as the 20 GB VRAM will fill before the CPU's 24 cores are saturated. For CPU-based physics simulation or data processing, the CPU's 24 cores, with a 3DMark max threads score of 16,243, will be the constraint.

The CPU's 89.6 GB/s memory bandwidth is a potential bottleneck for data-intensive workloads that require moving large datasets between system memory and VRAM. The GPU's 360.0 GB/s bandwidth is substantially higher, but the PCIe 4.0 x16 connection (the GPU's bus interface) and the CPU's Gen 5 PCIe lanes (20 lanes) determine transfer rates. The absence of measured FPS data means gaming bottleneck analysis relies on estimates. The CPU's single-thread score of 7252 in Cinebench R23 suggests it can feed frames quickly, but the GPU's 160-bit memory bus might limit frame rates at high resolutions where memory bandwidth matters. In productivity workloads, the CPU's 93rd percentile rank against all CPUs and the GPU's 95th percentile rank against all GPUs indicate a balanced pairing — neither component is drastically weaker than the other. The combined percentile of 94 reflects this equilibrium.

# FAQ

Q: Does this pairing support ECC memory?

A: Yes, the Intel Core i9-13900KS has ECC memory support listed in its specifications, which is valuable for workstation reliability in data-critical tasks.

Q: What is the GPU's memory capacity and type?

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

Q: How does the CPU's multi-threaded performance compare to its nearest rivals?

A: The i9-13900KS has an average benchmark score of 64,051, which is within 1% of the AMD EPYC 7343 (64,202, -0.2% delta), AMD Ryzen AI Max PRO 390 (63,765, 0.4% delta), Intel Core Ultra 7 265F (64,438, -0.6% delta), and Intel Core Ultra 7 265 (64,640, -0.9% delta).

Q: What is the GPU's percentile ranking?

A: The RTX 4000 Ada Generation is in the 95th percentile of all GPUs, with an average benchmark score of 135,218.

Q: What are the CPU's core and thread counts?

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

Q: Does the GPU support DirectX 12 Ultimate?

A: Yes, the RTX 4000 Ada Generation supports DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4.

Q: What is the suggested PSU for the GPU?

A: The suggested PSU for the RTX 4000 Ada Generation is 300 W, and the GPU has a TDP of 130 W.

# Benchmark Performance

The CPU's average benchmark score is 64,051, placing it in the 93rd percentile of all CPUs. Its Cinebench R23 multicore score is 51,368, and single-core is 7252. Geekbench multicore is 23,607, and single-core is 2771. The 3DMark max threads score is 16,243, with a single-thread score of 1226. Passmark multithread is 60,644, and single-thread is 4712. The GPU's average benchmark score is 135,218, placing it in the 95th percentile of all GPUs. Its Geekbench OpenCL score is 146,593, and Vulkan score is 123,842. The combined percentile for this pairing is 94.

The data shows a system that sits at the top of the performance distribution. The CPU's nearest rivals — the AMD EPYC 7343, AMD Ryzen AI Max PRO 390, and Intel Core Ultra 7 265 variants — all score within 1% of the i9-13900KS, meaning the choice between them is not about raw performance but about platform features. The GPU's nearest rivals are equally close: the NVIDIA A10M (0% delta), AMD Radeon PRO W6800 (-0.1% delta), AMD Radeon Pro W6800X Duo (-0.4% delta), and AMD Radeon PRO V620 (-0.9% delta). This clustering indicates a mature and competitive market segment where all top-tier options perform similarly.

No measured FPS data exists for this exact combination. The FACT PACK contains no measured FPS rows, so all frame-rate discussion must be estimated from the benchmark scores. The CPU's strong single-thread performance suggests high frame rates in lightly threaded games, while the GPU's compute orientation suggests it would perform well in GPU-bound scenarios, though the 160-bit memory bus may limit extreme resolutions. For professional workloads, the benchmark scores are unambiguous: this is a top-5% GPU and top-7% CPU pairing.

# Build Overview

This build pairs the Intel Core i9-13900KS, a 24-core, 32-thread desktop processor from the Core 13th Gen series, with the NVIDIA RTX 4000 Ada Generation, a workstation-class GPU from the GeForce 40-series. The build class is desktop. The CPU uses the Raptor Lake architecture on a 10 nm process, with a 150 W TDP and a 6.00 GHz boost clock. The GPU uses the Ada Lovelace architecture on a 5 nm process, with a 130 W TDP and 20 GB of GDDR6 memory. The combined percentile of 94 places this system in the upper echelon of desktop builds.

This is not a typical gaming rig; it is a professional workstation. The GPU's 20 GB VRAM, 48 RT cores, and 192 tensor cores are tailored for rendering, simulation, and AI workloads. The CPU's 24 cores and 32 threads provide the parallel horsepower for CPU-side tasks like physics simulation, compilation, and data processing. The 10 nm Intel process and 5 nm TSMC process for the GPU indicate modern manufacturing, though the CPU's process node is less advanced than the GPU's. Both components are currently in active production, and the CPU has an unlocked multiplier for overclocking. The GPU is single-slot, which is compact for its capability, and it uses a single 16-pin power connector with a suggested PSU of 300 W.

# Upgrade Path and Platform

The CPU uses the Intel Socket 1700, which supports both DDR4 and DDR5 memory in dual-channel configuration. The memory bandwidth is 89.6 GB/s. The CPU provides Gen 5 PCIe with 20 lanes (CPU only), while the GPU uses PCIe 4.0 x16. This means the GPU is backward-compatible with the CPU's PCIe lanes, though the Gen 5 lanes are available for other devices such as NVMe storage. The GPU's suggested PSU is 300 W, and its TDP is 130 W. The CPU's TDP is 150 W. Combined, the system has modest power requirements, leaving headroom for additional components or upgrades.

A sensible next upgrade path would be adding more storage via the Gen 5 PCIe lanes, which can support high-speed NVMe drives. The CPU's support for both DDR4 and DDR5 means users can choose either memory type, though the dual-channel configuration and 89.6 GB/s bandwidth are fixed. The GPU's single-slot design and 130 W TDP mean it can be replaced with a higher-power workstation GPU in the future, provided the PSU is upgraded accordingly. The CPU's unlocked multiplier allows overclocking to extract more performance from the 6.00 GHz boost clock. The platform's longevity depends on the Socket 1700 ecosystem, which is tied to the 13th Gen generation. The GPU's successor is listed as Blackwell PRO W, indicating a future upgrade path on the GPU side. The predecessor is Workstation Ampere, showing a clear generational progression for the professional GPU lineup. For users needing more VRAM or compute throughput, the 20 GB capacity suggests that larger memory configurations exist in the workstation hierarchy, though the data does not specify them.