SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KF + NVIDIA RTX 5000 Embedded Ada Generation X2

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

86 / 100
HIGH-END

Power Build

Top 14% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
GPU Bottleneck
CPU
97%
VS
GPU
74%

Your GPU is limiting system performance. Consider upgrading to a more powerful graphics card to better utilize your CPU.

PROCESSOR

Intel Core i9-14900KF

79,371 Benchmark Score
Top 3% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation X2

0 Benchmark Score
Top 26% 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

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

Bottleneck Detected

GPU Bottleneck - Upgrading the weaker component will improve overall performance.

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 i9-14900KF paired with the NVIDIA RTX 5000 Embedded Ada Generation X2 is a desktop configuration that combines a high-core-count flagship CPU with a workstation-oriented GPU. This pairing sits at the 73rd percentile overall among all CPU+GPU combinations, which places it above the majority of systems but not at the very top tier. The data for this configuration is entirely estimated, as no measured FPS rows exist for this exact combination, so all performance discussions below are framed through the lens of the individual component scores and their relative strengths.

CPU Analysis

The Intel Core i9-14900KF is a 24-core, 32-thread processor built on the Raptor Lake architecture, specifically the Raptor Lake-R refresh generation. It operates on a 10 nm process node from Intel, with a die size of 257 mm². The base clock runs at 3.20 GHz, while the boost clock reaches 6.00 GHz, making it one of the highest-clocking desktop chips in its class. The cache hierarchy consists of 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB of L3 cache. Memory support includes both DDR4 and DDR5, with a dual-channel memory bus, and ECC memory is supported. The CPU connects via PCIe Gen 5 with 16 lanes from the CPU only, and it uses the Intel Socket 1700 platform. The multiplier is unlocked, allowing for overclocking, and the TDP is rated at 125 W.

Benchmark results for the CPU show a strong multi-core presence. In Cinebench R23, the multi-core score is 49370, while the single-core score is 6969. The Geekbench multi-core score is 23789, with a single-core score of 2727. PassMark results further illustrate the chip’s capabilities: multi-thread score of 58405, single-thread score of 4685, integer math at 209125, floating-point math at 151918, and extended instructions at 44839. Data encryption scores 46416, while data compression hits 785831. The average benchmark score for this CPU is 79371, placing it in the 95th percentile against all CPUs. This percentile ranking is notable—it means the i9-14900KF outperforms 95% of all processors in the database, a clear indicator of its high-end positioning.

Relative to its nearest rivals, the i9-14900KF is essentially tied with the Intel Core Ultra 9 290HX Plus, which has an average score of 79574, a delta of -0.3% (meaning the i9 is slightly behind). It is also nearly identical to the Intel Core i9-14900K, which scores 79097, a 0.3% advantage for the 14900KF. Against the AMD EPYC 7413, the i9 leads by 0.8%, and against the Intel Xeon w5-2565X, it leads by 1.6%. These deltas are small, indicating that the i9-14900KF sits in a tightly contested performance band where no single processor has a decisive edge. The implications for real workloads are clear: in multi-threaded tasks like video encoding, 3D rendering, or software compilation, this CPU delivers near-top-tier performance, though it is not the absolute fastest in every scenario. Single-core performance, as seen in the Cinebench R23 score of 6969, is equally strong, which matters for applications that rely on per-thread speed, such as older games or lightly threaded productivity tools.

Benchmark Performance

The combined percentile for this CPU+GPU pair is 73, which reflects a system that is well above average but not elite. The CPU’s 95th percentile standing is the dominant factor, while the GPU sits at the 50th percentile, meaning half of all GPUs perform better. This creates a lopsided profile where the processor is a high-end part and the graphics card is mid-pack. The CPU’s average benchmark score of 79371 is the primary contributor to the system’s overall position, but the GPU’s lack of benchmark scores—its avgBenchmarkScore is 0, and it has no entries in its benchmark array—means the combined percentile is driven almost entirely by the CPU’s strong showing.

The data shows a CPU that excels in both single-threaded and multi-threaded tests. The Cinebench R20 multi-core score of 20735 and single-core score of 2926 reinforce the pattern seen in R23. The PassMark single-thread score of 4685 and multi-thread score of 58405 further confirm that this processor handles diverse workloads with ease. For real-world applications, these numbers suggest that tasks like video editing, 3D rendering, and software development will see significant acceleration from the CPU side. However, the GPU’s 50th percentile ranking implies that graphics-intensive workloads, such as gaming at high resolutions or GPU-accelerated rendering, may not match the CPU’s performance level. The combined picture is a system that is CPU-bound in many scenarios, where the processor is waiting on the GPU to keep up, rather than the reverse.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is a mobile-class GPU built on the Ada Lovelace architecture, using the AD103 chip on a 5 nm process from TSMC. It packs 45,900 million transistors on a 379 mm² die, with a transistor density of 121.1M per mm². The GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. Memory clocks operate at 2250 MHz, with an effective data rate of 18 Gbps. The base clock is 930 MHz, and the boost clock reaches 1680 MHz. The shader configuration includes 9728 shading units, 304 texture mapping units, and 112 raster output units. Ray tracing is handled by 76 RT cores, while AI acceleration comes from 304 tensor cores. The pixel rate is 188.2 GPixel/s, and the texture rate is 510.7 GTexel/s. FP32 performance is rated at 32.69 TFLOPS, with FP16 at the same 32.69 TFLOPS (1:1). The TDP is 150 W, and the slot width is listed as IGP, with no power connectors required. The bus interface is PCIe 4.0 x16, and display outputs are portable device dependent.

Despite its workstation-oriented name, the GPU’s benchmark presence is absent. There are no scores in the GPU benchmark array, and its percentile versus all GPUs is exactly 50, with an average benchmark score of 0. This places it squarely in the middle of the GPU performance distribution, which is surprising for a part with 16 GB of VRAM and 576.0 GB/s of bandwidth. The lack of measured data means performance must be inferred from the specifications alone. The memory bandwidth of 576.0 GB/s is substantial, which suggests strong performance in tasks that rely on large data transfers, such as 4K texture loading or scientific computing. The 16 GB VRAM capacity is ample for modern workloads, including high-resolution rendering or large machine learning models. The RT and tensor cores indicate hardware support for ray tracing and AI-based features, which could benefit rendering workflows that use DLSS or similar technologies.

However, the 50th percentile ranking hints that raw compute power is not exceptional. The FP32 figure of 32.69 TFLOPS is moderate by modern standards, and the boost clock of 1680 MHz is conservative, likely due to the embedded form factor’s thermal constraints. For rendering tasks, the GPU’s 16 GB VRAM and 576.0 GB/s bandwidth will help with large scenes, but the compute throughput may limit performance in complex ray-traced renders. The GPU’s architecture supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it compatible with modern graphics APIs. The absence of a launch MSRP and the lack of rival comparisons mean there is no direct reference point for its value or competitive standing.

Balance and Bottleneck

The balance between the CPU and GPU in this configuration is heavily skewed toward the processor. The CPU’s 95th percentile and the GPU’s 50th percentile create a clear bottleneck scenario where the GPU is the limiting factor in most workloads. In CPU-intensive tasks such as code compilation, data processing, or multi-threaded rendering, the i9-14900KF can operate at near-peak efficiency, as indicated by its Cinebench R23 multi-core score of 49370. The GPU’s mid-pack performance, however, means that any workload relying on the GPU—whether gaming, GPU-accelerated rendering, or machine learning inference—will be constrained by the GPU’s capabilities.

The FPS scaling, though estimated, reinforces this imbalance. In gaming, the CPU’s single-core strength (Cinebench R23 single-core of 6969) can handle high frame rates in CPU-bound scenarios, but the GPU’s 50th percentile performance will cap frame rates in GPU-bound titles, especially at higher resolutions. The data suggests that at 1080p, the CPU might drive frame rates high enough that the GPU becomes the bottleneck, while at 1440p or 4K, the GPU’s workload increases, and the gap widens further. For productivity, the bottleneck manifests differently. In video editing, the CPU handles encoding and effects processing, while the GPU accelerates previews and exports. The CPU’s strong multi-core scores will dominate encoding tasks, but the GPU’s moderate compute performance may slow down GPU-accelerated effects or 3D rendering in applications like Blender or Maya.

The combined percentile of 73 reflects this imbalance: the system is better than most, but far from the top, because the GPU drags down the overall score. Users who prioritize CPU-heavy workloads will find this pairing satisfactory, but those expecting balanced high-end performance from both components will be disappointed. The data implies that upgrading the GPU would yield significant gains in graphics-bound tasks, while the CPU would remain relevant for years due to its high core count and strong single-thread performance.

Usage Scenarios

High-refresh gaming: At 1080p, the CPU’s single-core score of 6969 in Cinebench R23 can support high frame rates in esports titles, but the GPU’s 50th percentile performance may limit maximum FPS in demanding games. At higher resolutions, the GPU becomes the clear bottleneck, and frame rates will likely drop below what the CPU could otherwise deliver.

Streaming: The CPU’s 24 cores and 32 threads provide ample headroom for software encoding while gaming. The PassMark multi-thread score of 58405 suggests that simultaneous game and encode workloads are feasible, though the GPU’s moderate performance may affect game frame rates during streaming.

Video editing: The CPU excels in this scenario. Cinebench R23 multi-core of 49370 and Geekbench multi-core of 23789 indicate fast timeline scrubbing and rendering. The GPU’s 16 GB VRAM and 576.0 GB/s bandwidth help with 4K previews and effects, but its 50th percentile compute may slow down heavy GPU-accelerated exports.

3D rendering: CPU-based rendering will benefit from the i9-14900KF’s strong multi-core scores, with Cinebench R20 multi-core at 20735. GPU rendering, however, is limited by the RTX 5000’s mid-pack performance—the 32.69 TFLOPS FP32 is adequate but not exceptional, so complex scenes with ray tracing may take longer than on higher-tier GPUs.

Software development: Compilation and code analysis are CPU-bound, and the i9-14900KF’s PassMark integer math score of 209125 and data compression score of 785831 suggest fast build times. The GPU’s role is minimal here, so the CPU’s strengths dominate.

Student and office work: This configuration is overkill for basic productivity. The CPU’s single-thread score of 4685 in PassMark handles office applications effortlessly, and the GPU’s capabilities are largely unused. The system is more than sufficient for document editing, web browsing, and spreadsheet work, with significant headroom for more demanding tasks.

FAQ

Q: What is the CPU’s percentile ranking among all processors?

A: The Intel Core i9-14900KF is in the 95th percentile, meaning it outperforms 95% of all CPUs in the database.

Q: How does the CPU compare to its nearest rival, the Intel Core Ultra 9 290HX Plus?

A: The i9-14900KF is 0.3% behind the Intel Core Ultra 9 290HX Plus in average benchmark score, with scores of 79371 and 79574, respectively.

Q: What is the GPU’s memory bandwidth?

A: The NVIDIA RTX 5000 Embedded Ada Generation X2 has a memory bandwidth of 576.0 GB/s.

Q: Does this configuration have measured FPS data?

A: No, the FACT PACK contains no measured FPS rows for this exact CPU+GPU combination, so all FPS figures are estimates.

Q: What is the combined percentile of this system?

A: The combined percentile is 73, indicating the system performs better than 73% of all CPU+GPU pairs.

Q: How much VRAM does the GPU have?

A: The GPU has 16 GB of GDDR6 memory on a 256-bit bus.

Q: What is the CPU’s boost clock?

A: The boost clock is 6.00 GHz, while the base clock is 3.20 GHz.

Who Should Build It

This configuration targets users who prioritize CPU performance above all else. Gamers at 1080p will see strong frame rates in CPU-bound titles, but those aiming for 1440p or 4K gaming will find the GPU’s 50th percentile performance limiting. Content creators working with video editing or software development will benefit most, as the i9-14900KF’s multi-core scores (Cinebench R23 multi-core of 49370) accelerate rendering and compilation tasks. Developers compiling large codebases will appreciate the PassMark integer math score of 209125, while students and office workers will find the system far more powerful than needed for typical tasks. Small business workstations handling data analysis or scientific computing could leverage the CPU’s data encryption score of 46416 and floating-point math of 151918, though the GPU’s moderate compute may not accelerate GPU-heavy workloads effectively. The system is a sensible choice for users who expect to upgrade the GPU later, as the CPU’s 95th percentile ensures it will remain relevant for several years.

Build Overview

This is a desktop-class build combining the Intel Core i9-14900KF, a 24-core, 32-thread processor on the Raptor Lake architecture, with the NVIDIA RTX 5000 Embedded Ada Generation X2, a mobile-class GPU on the Ada Lovelace architecture. The CPU is a top-tier part in the 95th percentile, while the GPU sits at the 50th percentile, resulting in an overall combined percentile of 73. The system’s performance tier is mid-to-high, driven almost entirely by the CPU’s strong benchmark scores, with the GPU representing a moderate contributor. This pairing is best described as a CPU-centric workstation that can handle demanding processor workloads but is not optimized for graphics-intensive tasks.

Gaming Performance

No measured FPS rows exist for this exact combination, so all gaming performance figures are estimates based on the individual component benchmark scores. The CPU’s single-core strength, as evidenced by the Cinebench R23 single-core score of 6969, suggests it can drive high frame rates in games that are CPU-limited, such as esports titles. However, the GPU’s 50th percentile performance, coupled with its 32.69 TFLOPS FP32, indicates that frame rates will be moderate in GPU-bound games. At 1080p, the system might achieve playable frame rates in many titles, but at 1440p or 4K, the GPU’s mid-pack compute will likely cap performance well below what the CPU could support. The 16 GB VRAM and 576.0 GB/s bandwidth help with texture loading and high-resolution assets, but they do not compensate for the moderate compute throughput. Users should expect this system to handle esports and older games comfortably, while newer, graphically demanding titles at high settings may require reduced resolutions or settings to maintain smooth frame rates.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in a dual-channel configuration. The memory bus is dual-channel, and ECC memory is supported, which is beneficial for workstation reliability. The CPU provides PCIe Gen 5 with 16 lanes from the CPU only, while the GPU uses a PCIe 4.0 x16 interface. The CPU’s TDP is 125 W, and while the GPU’s TDP is 150 W, the suggested PSU is not specified in the data. The GPU has no power connectors required due to its IGP slot width, which simplifies installation in compact systems. A sensible next upgrade would be a more powerful GPU, as the current GPU’s 50th percentile is the primary bottleneck. Given the CPU’s 95th percentile, replacing the GPU with a higher-tier model would improve graphics-bound workloads without needing a CPU change. The platform’s support for both DDR4 and DDR5 means memory upgrades are flexible, though the exact bandwidth figures are not listed. The CPU’s unlocked multiplier allows for overclocking, potentially extending its useful lifespan, but this would require adequate cooling beyond the stock setup. Overall, the upgrade path is straightforward: focus on GPU improvements to balance the system’s performance.