SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KS + NVIDIA RTX 5000 Ada Generation

Get a comprehensive performance analysis of your gaming rig with detailed benchmarks, bottleneck detection, and upgrade recommendations

98 / 100
ULTIMATE READY

Apex Performer

Top 2% 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
97%
VS
GPU
99%
PROCESSOR

Intel Core i9-14900KS

81,127 Benchmark Score
Top 3% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 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

# Intel Core i9-14900KS + NVIDIA RTX 5000 Ada Generation: A Workstation Powerhouse Analysis

This pairing combines Intel's flagship 14th-generation desktop processor with NVIDIA's top-tier workstation GPU, creating a system that sits at the 97th percentile overall among all benchmarked builds. The Intel Core i9-14900KS is a 24-core, 32-thread Raptor Lake-R part with a maximum boost clock of 6.20 GHz, while the RTX 5000 Ada Generation brings 32 GB of GDDR6 memory and Ada Lovelace architecture to the table. This is a desktop-class configuration aimed squarely at professionals who need both extreme CPU throughput and workstation-grade GPU compute, rather than gamers seeking maximum frame rates at any cost.

CPU Analysis

The Intel Core i9-14900KS represents the pinnacle of Intel's Raptor Lake architecture, built on a 10 nm process with a die size of 257 mm². This processor packs 24 cores and 32 threads, combining performance cores with efficiency cores to balance raw speed against power consumption. The base clock sits at 3.20 GHz, but the boost clock reaches an extraordinary 6.20 GHz — the highest single-core frequency available in any consumer desktop processor. The thermal design power is rated at 150 W, though sustained all-core workloads will likely pull considerably more. The chip supports both DDR4 and DDR5 memory across a dual-channel memory bus, and it includes ECC memory support, which is a notable feature for workstation users who prioritize data integrity over raw speed.

The cache hierarchy is substantial: 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 36 MB of shared L3 cache. This large L3 pool helps keep frequently accessed data close to the cores, reducing latency in multi-threaded workloads. The integrated UHD Graphics 770 provides basic display output capability, though this system will almost certainly rely on the discrete RTX 5000 Ada GPU for all rendering tasks. The chip uses the Intel Socket 1700 platform and provides 16 PCIe Gen 5 lanes from the CPU, offering ample bandwidth for the latest NVMe storage and high-end GPUs.

Benchmark results for this CPU are exceptional across the board. In Cinebench R23, the multi-core score reaches 50,995, while the single-core score hits 7,199. These numbers indicate that the i9-14900KS is nearly as strong in lightly-threaded tasks as it is in heavily parallel workloads — a rare combination. The Cinebench R20 scores of 21,417 multi-core and 3,023 single-core reinforce this picture. Geekbench results show 23,931 multi-core and 2,692 single-core, placing it among the fastest desktop processors ever tested. The PassMark suite reveals specialized strengths: data compression scores 803,368, floating point math reaches 153,975, and integer math hits 212,644. The multithread score of 60,012 is particularly telling, as it demonstrates the chip's ability to sustain high throughput across many threads simultaneously.

The CPU holds a 96th percentile ranking among all processors, placing it in the top 4% of all CPUs ever benchmarked. Its average benchmark score of 81,127 is virtually identical to the Intel Xeon w5-3535X (81,115, 0% delta) and the AMD Ryzen 9 8940HX (81,103, 0% delta). The AMD Ryzen AI Max+ PRO 395 trails slightly at 80,762 (0.5% behind), while the Intel Xeon 638 achieves 80,723 (0.5% behind). This means the i9-14900KS effectively ties with those rival processors in overall computational throughput, despite being a consumer desktop part rather than a workstation or server chip.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the AD102 chip using TSMC's 5 nm process. This is a massive die — 609 mm² containing 76,300 million transistors, yielding a transistor density of 125.3 million per mm². The GPU features 12,800 shading units, 400 texture mapping units, and 176 raster operation processors. It includes 100 dedicated ray tracing cores and 400 tensor cores, making it fully equipped for both real-time ray tracing and AI-accelerated workloads. The base clock runs at 1155 MHz with a boost clock of 2550 MHz, and the memory clock operates at 2250 MHz, translating to 18 Gbps effective.

Memory configuration is substantial: 32 GB of GDDR6 on a 256-bit bus, providing 576.0 GB/s of bandwidth. This memory capacity is critical for professionals working with large datasets, high-resolution textures, or complex 3D scenes that exceed the VRAM limits of consumer GPUs. The pixel rate reaches 448.8 GPixel/s, and the texture rate hits 1,020.0 GTexel/s. Floating-point performance is rated at 65.28 TFLOPS for both FP32 and FP16 (at a 1:1 ratio), which is remarkable compute throughput for a single-slot workstation card.

The GPU's power envelope is rated at 250 W TDP, with a suggested power supply of 600 W for the overall system. It connects via PCIe 4.0 x16 and draws power through a single 16-pin connector. The card measures 267 mm in length (10.5 inches) and 112 mm in height (4.4 inches), fitting a dual-slot form factor. Display output is provided through four DisplayPort 1.4a connectors. API support is comprehensive, including DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Benchmark results place this GPU in elite territory. Geekbench OpenCL scores 175,286, while Vulkan scores 194,041. These numbers put the RTX 5000 Ada at the 98th percentile among all GPUs, with an average benchmark score of 184,664. Its nearest rivals are all data-center or workstation-class parts: the NVIDIA A100 SXM4 80 GB scores 183,725 (0.5% behind), the A100 SXM4 40 GB scores 187,147 (1.3% ahead), the RTX PRO 5000 Blackwell scores 182,109 (1.4% behind), and the GeForce RTX 4090 D scores 178,050 (3.7% behind). This means the RTX 5000 Ada Gen is competitive with data-center accelerators in compute workloads, despite being a workstation card designed for desktop integration.

Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination in the benchmark database. Therefore, all frame rate figures discussed here are estimates derived from the component benchmark scores, not direct measurements. Users should treat these as rough expectations rather than verified results.

Based on the GPU's 98th percentile ranking and its 65.28 TFLOPS FP32 compute, gaming performance at 1440p and 4K should be very strong. The RTX 5000 Ada Generation's architecture is identical to NVIDIA's consumer GeForce RTX 40-series in terms of core features, meaning ray tracing and DLSS support are both present and fully functional. The 32 GB VRAM buffer is far more than any current game requires, so texture streaming and high-resolution asset loading should never be a bottleneck. In GPU-bound scenarios at 4K with ultra settings, this card should deliver playable frame rates in the vast majority of titles, though it is not optimized for the highest refresh-rate competitive gaming the way a dedicated gaming GPU might be.

The CPU side is equally capable for gaming. The i9-14900KS's 6.20 GHz boost clock and strong single-core performance (7,199 in Cinebench R23 single-core, 4,815 in PassMark single-thread) mean that CPU-bound scenarios — such as esports titles at low resolutions or simulation games with heavy AI calculations — should see excellent frame rates. The 24 cores and 32 threads provide ample headroom for background tasks, streaming, or recording while gaming. In practical terms, this system should not bottleneck modern game engines at any reasonable resolution, though the exact frame rates will depend heavily on the specific title and its optimization.

Upgrade Path and Platform

The motherboard platform is Intel Socket 1700, which supports both DDR4 and DDR5 memory across a dual-channel memory bus. This gives builders flexibility in choosing memory technology, though DDR5 will be necessary to extract the full memory bandwidth potential of the platform. The CPU provides 16 PCIe Gen 5 lanes, allowing the fastest current NVMe SSDs to operate at full speed. The GPU uses PCIe 4.0 x16, which is fully compatible with the platform's Gen 5 slots and does not present a meaningful bandwidth limitation in most workloads.

The RTX 5000 Ada Generation is rated at 250 W TDP with a suggested power supply of 600 W. This leaves considerable headroom for additional components, such as multiple high-capacity storage drives or additional expansion cards. The single 16-pin power connector simplifies cabling, and the dual-slot form factor ensures compatibility with standard ATX cases. For a sensible next upgrade, adding more DDR5 memory would be the most straightforward improvement, given the CPU's dual-channel support and the GPU's large VRAM buffer. Storage expansion via PCIe Gen 5 NVMe drives would also provide tangible benefits in data-heavy workloads.

Regarding the platform's longevity, Socket 1700 is at the end of its lifecycle with the 14th-generation Core series, meaning future CPU upgrades would require a motherboard change. However, the i9-14900KS is already the flagship of this socket, so there is no higher-performing drop-in upgrade available. Builders should view this as a complete platform decision rather than a stepping stone. The GPU, by contrast, has a clear successor in the Blackwell PRO W series, but the RTX 5000 Ada Generation remains a current and actively produced product.

FAQ

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

A: The combined percentile for this build is 97, placing it in the top 3% of all benchmarked desktop configurations.

Q: How does the CPU compare to its nearest rival, the Intel Xeon w5-3535X?

A: The i9-14900KS scores 81,127 on average, which is essentially identical to the Xeon w5-3535X's 81,115 — a 0% delta. They are statistically tied in overall performance.

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

A: The RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth.

Q: Does this CPU support ECC memory?

A: Yes, the Intel Core i9-14900KS supports ECC memory, which is unusual for a consumer desktop processor and valuable for workstation reliability.

Q: What is the suggested power supply wattage for this GPU?

A: The suggested PSU for the RTX 5000 Ada Generation is 600 W, though the actual requirement depends on the rest of the system configuration.

Q: How does the GPU compare to the NVIDIA A100 SXM4 40 GB?

A: The RTX 5000 Ada Generation scores 184,664 on average, while the A100 SXM4 40 GB scores 187,147 — meaning the A100 is 1.3% faster in aggregate benchmarks.

Q: What PCIe version and lane configuration does the CPU provide?

A: The i9-14900KS provides 16 PCIe Gen 5 lanes from the CPU, while the GPU operates on PCIe 4.0 x16.

Who Should Build It

This system is designed for professionals who need maximum compute throughput in both CPU and GPU workloads. Content creators working with 8K video editing, complex 3D rendering, or large-scale visual effects will benefit from the 24-core CPU and the 32 GB GPU memory. The RTX 5000 Ada's 65.28 TFLOPS FP32 performance makes it suitable for scientific computing, AI inference, and machine learning development — tasks where the tensor cores can be fully utilized. Developers working on CUDA-accelerated applications will find the combination of high CPU clock speeds and workstation-grade GPU compute ideal for compilation and testing cycles.

Students and researchers in engineering, architecture, or data science fields will appreciate the ECC memory support and the massive VRAM buffer for handling large datasets. Small business workstations that run CAD, simulation, or financial modeling software will see dramatic performance improvements over typical office hardware. While gamers can certainly use this system — and would see excellent performance at 4K — the investment is better justified by professional workloads that exploit the GPU's workstation features rather than pure gaming frame rates. The 97th combined percentile means this is among the fastest desktop configurations available, suited for users who cannot afford to wait on renders or simulations.

Benchmark Performance

The CPU's average benchmark score is 81,127, placing it at the 96th percentile among all processors. Its nearest rival is the Intel Xeon w5-3535X at 81,115 (0% delta), followed by the AMD Ryzen 9 8940HX at 81,103 (0% delta). The AMD Ryzen AI Max+ PRO 395 scores 80,762 (0.5% behind), and the Intel Xeon 638 scores 80,723 (0.5% behind). This clustering indicates that the i9-14900KS sits at the very top of CPU performance, effectively tied with the best workstation and server-class parts available.

The GPU's average benchmark score is 184,664, placing it at the 98th percentile among all GPUs. Its nearest rivals include the NVIDIA A100 SXM4 40 GB at 187,147 (1.3% ahead), the A100 SXM4 80 GB at 183,725 (0.5% behind), the RTX PRO 5000 Blackwell at 182,109 (1.4% behind), and the GeForce RTX 4090 D at 178,050 (3.7% behind). The GPU's position is slightly stronger relative to its peers than the CPU's, though both are in the top tier of their respective categories.

Combined, this pairing achieves a 97th percentile ranking, reflecting a system where both major components are near the top of their class. The slight gap between the CPU's 96th percentile and the GPU's 98th percentile suggests the GPU has a marginally stronger relative position, but the practical difference is negligible in most workloads. The benchmark data shows a well-balanced system where neither component dramatically outclasses the other.

Build Overview

This desktop configuration pairs Intel's flagship Core i9-14900KS with NVIDIA's RTX 5000 Ada Generation workstation GPU. The CPU is a 24-core, 32-thread Raptor Lake part with a 6.20 GHz boost clock and a 150 W TDP, while the GPU is an Ada Lovelace workstation card with 32 GB GDDR6, 100 RT cores, 400 tensor cores, and a 250 W TDP. Both components are currently active in production, and the CPU launched with an MSRP of $689.

The combined 97th percentile ranking places this build among the top 3% of all desktop systems in the benchmark database. This is a professional-grade workstation configuration that prioritizes compute throughput and memory capacity over gaming-specific features. The 32 GB GPU memory is particularly notable, as it exceeds the capacity of virtually all consumer graphics cards and enables workloads that simply cannot run on lesser hardware. The CPU's 6.20 GHz boost clock provides exceptional single-threaded performance for lightly-parallel tasks, while its 24 cores handle heavily multi-threaded workloads with ease. This is a system built for serious work, with gaming as a secondary consideration.

Balance and Bottleneck

The benchmark data indicates a well-balanced pairing, but the nature of the bottleneck depends on the workload type. In CPU-bound tasks such as code compilation, spreadsheet calculations, or single-threaded application logic, the i9-14900KS's 96th percentile performance will be the limiting factor — though it will still be among the fastest available. In GPU-bound tasks such as 3D rendering, video encoding, or AI inference, the RTX 5000 Ada's 98th percentile performance becomes the constraint, but again at a level that is near the top of the market.

The CPU's average benchmark score of 81,127 versus the GPU's 184,664 shows that the GPU has more raw compute headroom relative to its peers. This means that in mixed workloads, the CPU is slightly more likely to become the bottleneck first, particularly in scenarios with many small tasks that don't scale perfectly across 24 cores. However, the 0% delta between the i9-14900KS and its closest CPU rivals suggests that upgrading the CPU further would yield no measurable benefit. Conversely, the GPU's 1.3% deficit to the A100 SXM4 40 GB means there is a marginally faster GPU available, though it is a data-center part not designed for desktop integration.

In gaming scenarios, the balance shifts depending on resolution. At lower resolutions, the CPU's single-core strength will dominate, and the 6.20 GHz boost clock should prevent any meaningful CPU bottleneck. At 4K, the GPU becomes the primary constraint, but the RTX 5000 Ada's 98th percentile performance ensures it handles the load capably. Overall, the data shows a system where neither component dramatically limits the other, though the GPU has slightly more headroom for future software demands.