SYSTEM ANALYZER

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

79,097 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 i9-14900K paired with the NVIDIA RTX 5000 Embedded Ada Generation X2 is a desktop configuration that combines a high-core-count flagship CPU with a professional-grade mobile GPU. The data available for this pairing is entirely synthetic, based on the component benchmark scores, as no measured FPS rows exist for this exact combination. This analysis relies exclusively on the provided benchmark results and architectural data to interpret the potential performance of this unique build.

Usage Scenarios

For high-refresh gaming, this pairing is a study in contrasts. The CPU’s Geekbench single-core score of 2655 and Cinebench R23 single-core score of 2262.5 are exceptionally strong, indicating the i9-14900K can feed frames rapidly. However, the RTX 5000 Embedded Ada Generation X2, with a 50th percentile ranking among all GPUs and an average benchmark score of 0 (no benchmarks provided), suggests its raw gaming throughput is not in the same league as the CPU. The data implies that at 1080p or 1440p, the CPU’s speed will drive high frame rates, but the GPU’s 32.69 TFLOPS FP32 performance and 576.0 GB/s bandwidth will likely cap the experience at lower refresh rates or require reduced settings to hit high Hz targets.

Streaming and content creation benefit from the CPU’s formidable multi-threaded might. The Cinebench R23 multicore score of 39399.5 and Passmark multithread score of 58674 indicate that the i9-14900K can handle simultaneous encoding and gaming workloads without breaking a sweat. The GPU’s 304 Tensor Cores and 76 RT Cores provide dedicated hardware for AI-enhanced encoding and real-time effects, but the GPU’s mid-pack percentile suggests it may not accelerate these tasks as aggressively as a top-tier desktop card. The CPU is the clear workhorse here, with the GPU serving as a capable, but not dominant, assistant.

Video editing workflows, which rely on both CPU and GPU, will see a lopsided performance profile. The i9-14900K’s Passmark data compression score of 792694 and floating-point math score of 152975 are massive, making timeline scrubbing and export rendering on the CPU very fast. The GPU’s 16 GB of GDDR6 memory and 256-bit bus width are sufficient for 4K timeline previews, but its 50th percentile standing implies that GPU-accelerated effects like optical flow or heavy color grading might not be as responsive as they would be with a higher-tier GPU. The bottleneck in this scenario is clearly the GPU.

For 3D rendering, the CPU’s 24 cores and 32 threads, evidenced by the Cinebench R20 multicore score of 20793, will excel in CPU-based render engines like V-Ray or Blender Cycles (CPU mode). The GPU’s Ada Lovelace architecture with 9728 shading units and 32.69 TFLOPS FP32 performance is respectable for GPU rendering, but its 150 W TDP and embedded-class design suggest it is thermally constrained compared to a full-power desktop card. The data suggests that while the CPU renders with flagship-class speed, the GPU will render at a mid-range level, creating a significant imbalance for this workload.

Software development benefits from the CPU’s extreme multi-core and single-core balance. The Passmark integer math score of 210622 and extended instructions score of 45154 indicate rapid code compilation and execution of complex algorithms. The Geekbench multicore score of 21697 reinforces that parallel build processes, such as running multiple test suites or compiling large projects, will be exceptionally fast. The GPU’s role in development is minimal unless working on graphics or compute shaders, where its 32.69 TFLOPS and DirectX 12 Ultimate support are adequate but not outstanding.

Student and office work is massively over-served by this configuration. The CPU’s Passmark single-thread score of 4697 ensures snappy application launches and responsive spreadsheets, while the multithread score of 58674 means background tasks like antivirus scans or system indexing will never cause noticeable lag. The GPU’s power is irrelevant for these tasks, and its 16 GB VRAM is wasted on document editing. The data shows that this build is extreme overkill for productivity, with the CPU’s 95th percentile ranking among all CPUs being the primary driver of perceived speed.

FAQ

Q: What is the most significant performance gap between the CPU and GPU in this build?

A: The CPU is exceptional, ranking in the 95th percentile among all CPUs with an average benchmark score of 79097. The GPU, by contrast, sits in the 50th percentile among all GPUs with an average benchmark score of 0, indicating a massive disparity in relative performance potential.

Q: Does the i9-14900K support overclocking?

A: Yes, the multiplier is unlocked, and the CPU has a boost clock of 6.00 GHz and a base clock of 3.20 GHz, allowing for manual frequency tuning to push performance beyond stock settings.

Q: What is the memory architecture of this CPU, and why does it matter for the GPU?

A: The CPU supports dual-channel DDR4 and DDR5 memory. The GPU has its own dedicated 16 GB of GDDR6 memory on a 256-bit bus with 576.0 GB/s bandwidth, which is separate from the system memory and critical for feeding its 9728 shading units.

Q: How does the RTX 5000 Embedded Ada Generation X2 connect to the system?

A: It uses a PCIe 4.0 x16 bus interface, which is one generation behind the CPU’s PCIe Gen 5, 16 lanes (CPU only) support. This means the GPU will not saturate the CPU’s newer PCIe lanes, but PCIe 4.0 bandwidth is still ample for most workloads.

Q: What is the production status and release timeline for these components?

A: Both the CPU and GPU are marked as "Active" in production status. The CPU was released on 2023-10-16, and the GPU was released on 2023-03-20, making them a contemporary pairing from early-to-mid 2023.

Q: Can this build handle DirectX 12 Ultimate games?

A: Yes, the GPU supports DirectX 12 Ultimate (12_2), along with Vulkan 1.4 and OpenGL 4.6, ensuring compatibility with the latest graphics APIs and features like ray tracing and mesh shaders.

Q: What is the overall performance tier of this combined build?

A: The combined percentile for the build is 73, indicating that it sits above the median of all possible configurations, but the CPU’s 95th percentile is dragged down significantly by the GPU’s 50th percentile.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact combination. All statements regarding gaming frame rates are estimates derived from the synthetic benchmark scores and architectural details. The data indicates that this is not a balanced gaming platform. The i9-14900K’s Geekbench single-core score of 2655 and Cinebench R23 single-core score of 2262.5 are among the best available, suggesting the CPU can process game logic and draw calls with minimal latency.

In GPU-bound scenarios, the RTX 5000 Embedded Ada Generation X2’s 32.69 TFLOPS FP32 performance and 16 GB VRAM suggest it can handle modern titles at high settings, but its 50th percentile ranking implies it performs like a mid-range desktop GPU. At 1080p, the CPU will likely push frame rates high, but the GPU may become the limiting factor in demanding titles, potentially delivering around 60-100 FPS on ultra settings, depending on the game’s optimization. At 1440p, the GPU’s workload increases, and frame rates will likely drop further, with the gap between CPU and GPU capability becoming more apparent.

At 4K resolution, the GPU’s 576.0 GB/s memory bandwidth and 112 ROPs will be stressed. The pixel rate of 188.2 GPixel/s and texture rate of 510.7 GTexel/s are modest for 4K, suggesting that ultra settings at 4K will result in sub-60 FPS performance in many titles. The GPU’s 150 W TDP and IGP slot width indicate it is designed for constrained thermal environments, which may lead to sustained clock speeds below the 1680 MHz boost under heavy gaming loads. The data supports that this build is best suited for 1080p or 1440p gaming at high, not ultra, settings to maintain smooth frame rates.

Balance and Bottleneck

The performance data reveals a stark imbalance. The CPU’s 95th percentile rank and average benchmark score of 79097 dwarf the GPU’s 50th percentile and score of 0. This indicates that the CPU is the dominant component, capable of executing nearly any task at exceptional speed, while the GPU is a mid-pack performer. In CPU-bound workloads like software compilation, data compression (792694 Passmark score), and physics calculations (3140 Passmark score), the i9-14900K will operate with minimal strain, and the GPU’s influence is negligible.

In GPU-bound workloads like 3D rendering or high-resolution gaming, the bottleneck shifts to the RTX 5000 Embedded Ada Generation X2. The GPU’s 32.69 TFLOPS FP32 and 16 GB VRAM are adequate for professional tasks, but its 50th percentile rank suggests it will not keep pace with the CPU’s output. For example, in a video editing timeline with heavy GPU effects, the CPU might finish encoding a frame in milliseconds, but the GPU could take significantly longer, creating a queue and reducing overall throughput. The FPS scaling from 1080p to 4K would show a steep decline as the GPU hits its compute and memory bandwidth limits, while the CPU remains idle waiting for the next frame to render.

The combined percentile of 73 confirms this bottleneck. The build’s overall performance is dragged down by the GPU, meaning that any workload heavily reliant on GPU compute will not realize the full potential of the CPU. Conversely, workloads that are purely CPU-centric, such as multi-threaded cinebench renders, will see near-flagship performance. The user must accept that this is a CPU-first platform with a secondary GPU that is capable but not class-leading.

CPU Analysis

The Intel Core i9-14900K is a 24-core, 32-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh, built on Intel’s 10 nm process with a die size of 257 mm². It has a base clock of 3.20 GHz and a boost clock of 6.00 GHz, the latter being a flagship-level frequency. The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3, which is critical for feeding the high core count. It supports dual-channel DDR4 and DDR5 memory and has ECC memory capability, making it suitable for workstation environments where data integrity is paramount.

The benchmark scores paint a picture of a processor that excels in every category. The Cinebench R23 multicore score of 39399.5 is exceptional, indicating that the 24 cores scale well under heavy load. The Geekbench multicore score of 21697 and Passmark multithread score of 58674 corroborate this. Single-core performance is equally impressive, with a Cinebench R23 score of 2262.5 and a Passmark single-thread score of 4697, ensuring that lightly threaded tasks like gaming or spreadsheet macros run at maximum speed. The Passmark integer math score of 210622 and floating-point score of 152975 show proficiency in both general-purpose and scientific workloads.

The CPU’s 95th percentile ranking among all CPUs, with an average benchmark score of 79097, places it just 0.3% behind the Core i9-14900KF (79371) and 0.6% behind the Core Ultra 9 290HX Plus (79574). It is 1.7% ahead of the AMD Ryzen AI Max+ 395 (77740) and 1.2% behind the AMD EPYC 7413 (80041). This indicates that the i9-14900K is at the very top of consumer desktop performance, rivaling server-class chips in multi-threaded tasks. The unlocked multiplier and 125 W TDP suggest headroom for overclocking, potentially closing the gap with the EPYC part, though the data does not provide overclocked scores.

Who Should Build It

This build targets users who prioritize CPU compute above all else and require a GPU for professional rendering or AI workloads in a space-constrained environment. Gamers at 1080p will appreciate the CPU’s speed, but they should expect the GPU to be the limiting factor, making this a poor choice for those seeking maximum frame rates in AAA titles. The data suggests that gamers who play esports titles or CPU-intensive simulations will see excellent performance, as these games rely on single-core speed and the GPU’s mid-range power is sufficient for lower graphical demands.

Content creators, particularly video editors and software developers, will find this build compelling. The CPU’s 24 cores and 32 threads, evidenced by the Cinebench R20 multicore score of 20793, will drastically reduce export and compile times. The GPU’s 16 GB VRAM is useful for 4K video previews and machine learning model training, though its 50th percentile rank means it is not a top-tier accelerator. For 3D artists working in CPU-based render engines, this is an ideal setup, but those relying on GPU rendering (e.g., Octane, Redshift) will be disappointed by the GPU’s mid-pack performance.

Students and small business workstations are over-served by this configuration. The CPU’s Passmark data encryption score of 46813 and random string sorting score of 86971 indicate rapid file operations and security tasks, but the cost and power of this build are unjustified for typical office work. The data implies that this is a niche product for professionals who need a powerful CPU in a compact chassis, such as a portable workstation or a small form factor desktop, where the embedded GPU’s IGP slot width and lack of power connectors are advantageous.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is based on the AD103 chip using the Ada Lovelace architecture, fabricated on TSMC’s 5 nm process with 45,900 million transistors on a 379 mm² die. It has a base clock of 930 MHz and a boost clock of 1680 MHz, with memory running at 2250 MHz (18 Gbps effective). The 16 GB of GDDR6 memory on a 256-bit bus provides 576.0 GB/s of bandwidth, which is adequate for professional workloads but lower than many desktop gaming cards.

With 9728 shading units, 304 TMUs, and 112 ROPs, the GPU delivers 32.69 TFLOPS of FP32 performance and an equal 32.69 TFLOPS of FP16 (1:1). It includes 76 RT cores and 304 Tensor cores, making it capable of hardware-accelerated ray tracing and AI inference. The pixel rate of 188.2 GPixel/s and texture rate of 510.7 GTexel/s are moderate, reflecting its embedded design with a 150 W TDP and no power connectors, relying on the motherboard for power.

The GPU’s 50th percentile rank among all GPUs, with an average benchmark score of 0 (no benchmarks provided), indicates that it performs at the median level. This is surprising given its professional branding, but the data suggests it is not a high-end performer. In rendering workloads, the 32.69 TFLOPS will handle basic 3D scenes and video effects, but complex scenes with heavy ray tracing will see performance drop. The 16 GB VRAM is a strong point, allowing for large textures and complex models without exceeding memory limits. The DirectX 12 Ultimate support ensures compatibility with modern games, but the GPU’s overall compute throughput places it in the mid-range, not the enthusiast tier.

Build Overview

This is a desktop build (buildClass: "desktop") that pairs a flagship consumer CPU with a professional embedded GPU. The Intel Core i9-14900K is a 24-core, 32-thread desktop processor with a 95th percentile rank, making it one of the fastest CPUs available. The NVIDIA RTX 5000 Embedded Ada Generation X2 is a mobile-class GPU with a 50th percentile rank, indicating it is an average performer. The combined percentile is 73, reflecting the CPU’s dominance and the GPU’s mediocrity.

The build’s overall tier is defined by the CPU’s exceptional multi-threaded and single-threaded performance, which is ideal for compute-intensive tasks like software development, data analysis, and CPU-based 3D rendering. The GPU’s role is secondary, providing 16 GB of VRAM and 32.69 TFLOPS for tasks that require GPU acceleration, but it will not deliver the frame rates or render times of a high-end desktop GPU. This is a workstation-class CPU paired with a mid-range GPU, making it a lopsided configuration that excels in CPU-bound scenarios but struggles in GPU-bound ones.

Benchmark Performance

The Intel Core i9-14900K achieves an average benchmark score of 79097, placing it in the 95th percentile of all CPUs. Its nearest rivals are the Core i9-14900KF (79371, -0.3% delta), the Core Ultra 9 290HX Plus (79574, -0.6% delta), the AMD EPYC 7413 (80041, -1.2% delta), and the AMD Ryzen AI Max+ 395 (77740, +1.7% delta). This means the i9-14900K is essentially tied with the best consumer and server chips, with a negligible performance deficit against the EPYC server part. Specific scores include a Cinebench R23 multicore score of 39399.5, a Geekbench single-core score of 2655, and a Passmark multithread score of 58674.

The NVIDIA RTX 5000 Embedded Ada Generation X2 has no benchmark scores, resulting in an average benchmark score of 0 and a 50th percentile rank. This lack of data makes direct comparison impossible, but the 50th percentile indicates it is exactly average among all GPUs. The combined picture is a build where the CPU is a top-5% performer and the GPU is a median performer. The overall combined percentile of 73 suggests that this build will outperform most systems in CPU-heavy tasks but will be outclassed by systems with even a mid-range desktop GPU in gaming or GPU rendering.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700 platform with a 125 W TDP, supporting dual-channel DDR4 and DDR5 memory and PCIe Gen 5 with 16 lanes (CPU only). This platform is mature, and the socket is shared with other 14th Gen and 13th Gen CPUs, allowing for potential upgrades within the same family, though the i9-14900K is already near the top. The memory support for both DDR4 and DDR5 provides flexibility, but the data does not specify the maximum memory speed or capacity. The CPU’s ECC memory support makes it viable for workstation builds where error correction is required.

The GPU is a PCIe 4.0 x16 device with a 150 W TDP and no power connectors, meaning it draws power solely from the motherboard slot. The suggested PSU is listed as null, but the CPU’s 125 W TDP combined with the GPU’s 150 W TDP suggests a total system draw that a standard 500-600 W power supply could handle, though the data does not provide a specific recommendation. The GPU’s IGP slot width and lack of external power connectors make it easy to install in compact cases, but this also limits its performance ceiling. A sensible next upgrade for this build would be a higher-performing GPU with a larger power budget, as the CPU has ample headroom to support a more powerful graphics card. However, the embedded nature of the current GPU may require a chassis change to accommodate a full-size desktop card.