SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KF + 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 i9-14900KF

79,371 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
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

# CPU Analysis — Intel Core i9-14900KF

The Intel Core i9-14900KF is the flagship unlocked desktop processor from the Core 14th Gen series, built on the Raptor Lake architecture with a 10 nm process node from Intel. This CPU features 24 cores and 32 threads, a configuration that combines high-performance and efficient cores to deliver exceptional throughput across heavily threaded workloads. The base clock sits at 3.20 GHz, while the boost clock reaches 6.00 GHz, making this one of the highest-clocked consumer processors available. With a die size of 257 mm², the chip houses a substantial physical footprint, though transistor counts are not disclosed in the data.

The cache hierarchy is generous: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. This large L3 pool helps maintain high hit rates in data-intensive workloads, reducing the frequency of slower memory accesses. Memory support includes both DDR4 and DDR5, running through a dual-channel memory bus. ECC memory support is present, which is notable for workstation-class reliability. The CPU provides PCIe Gen 5 with 16 lanes from the processor itself, enabling high-bandwidth connectivity for the latest storage and expansion cards.

Benchmark results place this CPU in the 95th percentile among all CPUs, indicating top-tier performance. Its average benchmark score of 79,371 is remarkably close to its nearest rivals. The Intel Core Ultra 9 290HX Plus scores 79,574, just 0.3% higher, while the Intel Core i9-14900K scores 79,097, a 0.3% deficit. The AMD EPYC 7413 scores 80,041, putting the i9-14900KF 0.8% behind, and the Intel Xeon w5-2565X is 1.6% ahead with an 80,671 average. These deltas are negligible in real-world terms, meaning the i9-14900KF trades blows with enterprise-class silicon in aggregate CPU performance.

Looking at specific workloads, Cinebench R23 multi-core results show a score of 49,370, while single-core reaches 6,969. The multi-core figure demonstrates sustained all-core performance suitable for rendering and compilation tasks. Geekbench multi-core scores 23,789 with single-core at 2,727, confirming strong scaling across mixed workloads. Passmark tests reveal specialized strengths: data compression scores 785,831, floating-point math hits 151,918, and integer math reaches 209,125. The multithread score of 58,405 reflects the CPU's ability to keep all 32 threads busy, while the physics score of 3,159 indicates solid simulation performance. Single-thread performance at 4,685 ensures that lightly threaded applications, such as legacy software or certain games, still run responsively. The extended instructions score of 44,839 shows robust SIMD and vector processing capabilities, which benefits scientific computing and multimedia encoding.

# GPU Analysis — NVIDIA RTX 5000 Ada Generation

The NVIDIA RTX 5000 Ada Generation is a workstation-class graphics card built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. The AD102 chip contains 76,300 million transistors across a 609 mm² die, yielding a transistor density of 125.3 million per square millimeter. This GPU is designed for professional rendering, simulation, and AI workloads rather than pure gaming, though its specifications make it highly capable across the board.

Memory configuration is substantial: 32 GB of GDDR6 on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The memory clock runs at 2250 MHz, translating to 18 Gbps effective. This large frame buffer is essential for massive 3D scenes, high-resolution textures, and large model training sessions. The GPU has 12,800 shading units, 400 texture mapping units, and 176 render output units. Ray tracing is handled by 100 dedicated RT cores, while 400 tensor cores accelerate AI inference and deep learning operations.

Clock speeds are set at a base of 1155 MHz with a boost of 2550 MHz. The pixel rate is 448.8 GPixel/s, and the texture rate reaches 1,020.0 GTexel/s. Compute throughput is rated at 65.28 TFLOPS for both FP32 and FP16, with a 1:1 ratio for the latter. This balanced FP16 performance is particularly relevant for AI workloads that benefit from reduced-precision arithmetic. The TDP is 250 W, requiring a 600 W suggested PSU and a single 16-pin power connector. The card occupies a dual-slot form factor, with dimensions of 267 mm in length and 112 mm in height. Display outputs include four DisplayPort 1.4a connectors, supporting multi-monitor professional setups. The bus interface is PCIe 4.0 x16, which provides ample bandwidth for most applications. API support includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Benchmark scores place this GPU in the 98th percentile among all GPUs, with an average score of 184,664. Geekbench OpenCL scores 175,286, while Vulkan scores 194,041. The nearest rivals show tight competition: the NVIDIA A100 SXM4 80 GB scores 183,725, just 0.5% behind, while the A100 SXM4 40 GB scores 187,147, putting the RTX 5000 Ada 1.3% behind. The NVIDIA RTX PRO 5000 Blackwell scores 182,109, a 1.4% deficit, and the GeForce RTX 4090 D scores 178,050, which is 3.7% lower. These results indicate that the RTX 5000 Ada Generation slots into the same performance envelope as top-tier datacenter accelerators, making it a versatile choice for workstations that require both rendering and compute capabilities.

# Gaming Performance

No measured FPS data exists for this exact combination of the Intel Core i9-14900KF and NVIDIA RTX 5000 Ada Generation. The FACT PACK contains no measuredFps rows, so all frame rate discussions below are estimates derived from the benchmark scores and component specifications. Treat these figures as qualitative expectations rather than verified results.

Based on the CPU's 95th percentile standing and the GPU's 98th percentile standing, this pairing should deliver exceptionally high frame rates in virtually any gaming scenario. The CPU's single-core score of 4,685 in Passmark and 6,969 in Cinebench R23 single-core indicates strong per-thread performance, which remains critical for game logic and physics. The GPU's 128 GB/s bandwidth and 65.28 TFLOPS of FP32 compute ensure that geometry processing, shading, and post-processing effects are handled with minimal bottlenecks.

At 1080p resolution, the CPU would likely become the primary limiting factor in esports titles, though its high clock speeds mitigate this. At 1440p, the balance shifts toward the GPU, and at 4K, the GPU is almost certainly the dominant component. The 32 GB VRAM is far more than any current game requires, eliminating any concerns about texture memory overflow. The RT cores and tensor cores provide hardware acceleration for ray-traced effects and DLSS-style upscaling, respectively, which should allow for high-quality ray tracing without severe performance penalties.

# Balance and Bottleneck

The data reveals a well-matched pairing where neither component dramatically overshadows the other, though the GPU holds a slightly higher percentile position. The CPU sits at the 95th percentile, while the GPU reaches the 98th percentile, and the combined percentile for this build is 97. This indicates that the system as a whole is positioned at the top of the desktop performance hierarchy.

For gaming workloads, the CPU's strong single-thread performance (4,685 Passmark single-thread) prevents it from bottlenecking the GPU in most scenarios, especially at higher resolutions where the GPU takes on more rendering load. The GPU's 65.28 TFLOPS of FP32 compute and 576 GB/s bandwidth are sufficient to feed the display pipeline without stalling. However, in CPU-bound scenarios such as low-resolution competitive gaming, the i9-14900KF's 24 cores and 32 threads might not all be utilized, but the high boost clock of 6.00 GHz compensates.

For productivity workloads, the balance is more nuanced. The CPU's multi-core score of 49,370 in Cinebench R23 suggests it can handle video encoding, 3D scene preparation, and compilation tasks. The GPU's tensor cores (400) and RT cores (100) offload AI and ray-tracing tasks, respectively, reducing the CPU's burden. In rendering pipelines, the GPU typically becomes the bottleneck for final frame rendering, while the CPU handles scene setup and geometry processing. The data shows a 0.3% difference between the i9-14900KF and the i9-14900K in average score, confirming that the KF variant's lack of integrated graphics does not hamper performance when a discrete GPU is present.

# Benchmark Performance

The CPU's average benchmark score of 79,371 places it at the 95th percentile among all CPUs. This score is 0.3% higher than the Intel Core i9-14900K, which scores 79,097, and 0.3% lower than the Intel Core Ultra 9 290HX Plus, which scores 79,574. Compared to the AMD EPYC 7413, the i9-14900KF is 0.8% behind (80,041), and it trails the Intel Xeon w5-2565X by 1.6% (80,671). These small deltas show that the i9-14900KF performs on par with server-class processors in aggregated benchmarks, despite being a desktop part.

The GPU's average benchmark score of 184,664 places it at the 98th percentile among all GPUs. This is 0.5% higher than the NVIDIA A100 SXM4 80 GB (183,725) and 1.3% lower than the A100 SXM4 40 GB (187,147). The RTX 5000 Ada Generation also leads the RTX PRO 5000 Blackwell by 1.4% (182,109) and the GeForce RTX 4090 D by 3.7% (178,050). The GPU's percentile ranking is notably higher than the CPU's, indicating that the graphics card is the more exceptional component relative to its peers.

Combined, this build achieves a 97th percentile ranking, which reflects a system that excels in both compute and graphics tasks. The CPU's average score is within 2% of its closest rivals, and the GPU's average score is within 4% of its nearest competitors, making this a cohesive high-end platform.

# Who Should Build It

This build targets users who need maximum throughput in both CPU-bound and GPU-bound workloads. Gamers at 1440p or 4K resolution will benefit from the GPU's top-tier rendering performance, while the CPU's high single-thread speed ensures smooth frame pacing. Content creators working with 4K or 8K video will appreciate the CPU's multi-core strength for encoding and the GPU's 32 GB VRAM for effects-heavy timelines. 3D artists and animators can leverage the 100 RT cores for real-time ray-traced previews and the 65.28 TFLOPS of FP32 compute for final frame rendering.

Software developers compiling large codebases will see reduced build times thanks to the 24 cores and 32 threads, while the GPU's tensor cores accelerate machine learning model training and inference. Students and researchers in fields like computational physics or bioinformatics will benefit from the CPU's Passmark floating-point score of 151,918 and the GPU's balanced FP16 performance for scientific computing. Small business workstations handling CAD, simulation, or data analysis will find the ECC memory support and the GPU's workstation-class drivers appealing for reliability and precision.

# FAQ

Q: What is the combined percentile ranking of this build?

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

Q: How does the CPU compare to the Intel Core i9-14900K?

A: The i9-14900KF has an average score of 79,371, which is 0.3% higher than the i9-14900K's 79,097.

Q: What is the GPU's memory bandwidth?

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

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-14900KF supports ECC memory, which is beneficial for workstation stability.

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

A: The GPU achieves 65.28 TFLOPS of FP32 performance, with FP16 also rated at 65.28 TFLOPS (1:1 ratio).

Q: How many RT cores and tensor cores does the GPU have?

A: The RTX 5000 Ada Generation has 100 RT cores and 400 tensor cores.

Q: What is the CPU's boost clock speed?

A: The boost clock is 6.00 GHz, with a base clock of 3.20 GHz.

# Build Overview

This is a desktop build combining the Intel Core i9-14900KF with the NVIDIA RTX 5000 Ada Generation. The CPU is a 24-core, 32-thread Raptor Lake processor with a 6.00 GHz boost clock, while the GPU is a 32 GB workstation card with 12,800 shading units. The CPU holds the 95th percentile among all CPUs, and the GPU holds the 98th percentile among all GPUs, resulting in a combined 97th percentile ranking. This places the system in the upper echelon of desktop performance, suitable for demanding professional and enthusiast workloads. The GPU's 250 W TDP and the CPU's 125 W TDP suggest a total system power draw that is manageable with a quality power supply.

# Upgrade Path and Platform

The CPU uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory. The memory bus is dual-channel, and ECC memory is supported. PCIe connectivity includes Gen 5 with 16 lanes from the CPU, allowing for high-speed NVMe SSDs and future expansion cards. The GPU uses a PCIe 4.0 x16 interface, which is backward compatible with the CPU's PCIe Gen 5 slots.

The suggested PSU for the GPU is 600 W, which provides headroom for the CPU's 125 W TDP and other components. The GPU requires a single 16-pin power connector. A sensible next upgrade would be adding more DDR5 memory if the current capacity is insufficient, as the dual-channel configuration benefits from populated slots. The CPU's unlocked multiplier allows for overclocking, though the high boost clock already provides substantial performance. For users needing more GPU compute, the RTX 5000 Ada Generation's successor, the Blackwell PRO W, is listed, but the current card's 98th percentile standing means upgrades would only be marginal in most workloads.

# Usage Scenarios

High-refresh gaming: The CPU's 4,685 Passmark single-thread score and 6.00 GHz boost clock ensure that frame times remain low, while the GPU's 65.28 TFLOPS of FP32 compute pushes high frame rates at 1440p and 4K. The 32 GB VRAM eliminates texture streaming issues in modern titles.

Streaming: The CPU's 24 cores provide ample headroom for encoding video while gaming, and the GPU's tensor cores can handle AI-based upscaling and enhancement. The combined 97th percentile ensures that neither encoding nor rendering tasks will cause stutters.

Video editing: The CPU's Cinebench R23 multi-core score of 49,370 accelerates export times, while the GPU's 576 GB/s bandwidth and 32 GB VRAM handle 4K and 8K timelines with multiple effects layers. The GPU's 400 tensor cores speed up AI-assisted editing tools.

3D rendering: The GPU's RT cores enable real-time ray tracing in viewports, and its FP32 compute of 65.28 TFLOPS reduces final frame render times. The CPU's Passmark floating-point score of 151,918 assists with physics simulations and geometry processing.

Software development: The CPU's 32 threads and Passmark data compression score of 785,831 speed up compilation and packaging tasks. The GPU's OpenCL score of 175,286 supports CUDA-based testing and profiling workloads.

Student and office work: The CPU's single-thread performance ensures snappy responsiveness in office suites, while the GPU's 4x DisplayPort 1.4a outputs support multi-monitor productivity setups. The ECC memory support provides data integrity for long-running calculations or database work.