SYSTEM ANALYZER

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

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
GPU Bottleneck
CPU
95%
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 i9-14900F

60,008 Benchmark Score
Top 5% 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 i9-14900F paired with dual NVIDIA RTX 5000 Embedded Ada Generation GPUs presents an unusual desktop configuration. The benchmark data shows a combined percentile of 71, placing this system in the upper tier of all configurations. The CPU is a 24-core, 32-thread Raptor Lake part with a 5.80 GHz boost clock, while the GPU setup is based on the Ada Lovelace architecture with 16 GB of GDDR6 memory per card. There is no measured FPS data for this exact combination in the database; all gaming performance estimates are derived from the individual component benchmark scores and their relative positions against other hardware.

Usage Scenarios

High-Refresh Gaming: The RTX 5000 Embedded Ada Generation X2 delivers 32.69 TFLOPS of FP32 performance, which translates to strong rasterization throughput. However, the GPU sits at the 50th percentile among all GPUs, indicating it is mid-pack rather than top-tier. The CPU's single-core score of 5583 in Cinebench R23 is competitive, but the lack of measured FPS data means 144Hz or 240Hz gaming at maximum settings is speculative. The data suggests this pairing can handle demanding titles, but the dual GPU configuration does not scale perfectly in all games, and the 50th percentile GPU placement suggests users should target 1440p rather than 4K for sustained high refresh rates.

Streaming: The CPU's 24 cores and 32 threads provide ample headroom for simultaneous gaming and encoding workloads. The i9-14900F scores 39551 in Cinebench R23 multi-core, which is 0.2% behind the AMD Ryzen 9 7945HX and 0.2% behind the Ryzen 7 8745HX. This places the CPU in a tight cluster at the top of the performance stack. The GPU's 304 tensor cores can accelerate AI-based encoding features, though the lack of measured FPS data means real-world streaming performance is inferred from the compute scores. The 150W TDP per GPU indicates manageable thermal requirements for a streaming rig.

Video Editing: The combination of a high-core-count CPU and dual GPUs with 16 GB VRAM each is well-suited for timeline editing and effects work. The CPU's PassMark multi-thread score of 46532 and floating-point math score of 119550 indicate strong number-crunching ability. The GPU's 576.0 GB/s memory bandwidth and 112 ROPs provide solid pixel throughput for effects rendering. The 92nd percentile CPU ranking means this processor outperforms the vast majority of installed CPUs, making export times competitive with far more expensive workstation platforms.

3D Rendering: The i9-14900F's Cinebench R15 multi-core score of 3986 and R20 score of 16611 demonstrate consistent scaling across rendering workloads. The GPU's Ada Lovelace architecture includes 76 RT cores and 304 tensor cores, which accelerate ray tracing and denoising tasks. The dual GPU configuration doubles the available VRAM to 32 GB, which is critical for large scene files. The 71st combined percentile indicates this system handles rendering tasks with authority, though users with the very highest-end GPUs will see faster viewport performance.

Software Development: The CPU's balanced performance across integer math (177066 in PassMark) and extended instructions (31084) makes this an excellent compile machine. The 36 MB of shared L3 cache reduces memory latency for large codebases, while the 2 MB per-core L2 cache speeds up branch-heavy workloads. The 32 threads allow for parallel builds that fully utilize the processor. The GPU's 16 GB VRAM is sufficient for local machine learning model testing, though the 50th percentile GPU ranking suggests this is not a dedicated AI workstation.

Student and Office Work: This configuration is massively overprovisioned for document editing, spreadsheet analysis, and web browsing. The CPU's single-core Geekbench score of 2570 and PassMark single-thread score of 4506 ensure snappy application responsiveness. The 65W CPU TDP means the system runs cool and quiet under light loads. However, the dual GPU setup draws significant power and produces heat, making this an impractical choice for a typical student laptop or small office desktop where a more modest GPU would suffice.

FAQ

Q: What is the CPU's performance percentile compared to all processors?

A: The Intel Core i9-14900F sits at the 92nd percentile of all CPUs, meaning it outperforms roughly 92% of processors in the database. Its nearest rival, the AMD Ryzen 9 7945HX, scores 60099 on average, which is just 0.2% higher than the i9-14900F's 60008 average benchmark score.

Q: How does the GPU compare to other graphics cards?

A: The NVIDIA RTX 5000 Embedded Ada Generation X2 is at the 50th percentile of all GPUs, placing it in the middle of the performance spectrum. There are no nearest rivals listed for this GPU, and its average benchmark score is zero, indicating that the database lacks direct comparison data for this specific mobile workstation part.

Q: Does this system support ECC memory?

A: Yes, the Intel Core i9-14900F supports ECC memory. The CPU has a dual-channel memory bus and supports both DDR4 and DDR5 memory types, which provides flexibility for workstation builds that require error-correcting memory for data integrity.

Q: What is the maximum boost clock of the CPU?

A: The Intel Core i9-14900F boosts up to 5.80 GHz, with a base clock of 2.00 GHz. This high boost clock contributes to its strong single-core performance, as evidenced by the 5583 Cinebench R23 single-core score.

Q: What PCIe generation does the CPU support?

A: The CPU supports PCIe Gen 5 with 16 lanes available from the CPU only. This provides high-bandwidth connectivity for the latest NVMe storage and expansion cards, though the GPU itself uses a PCIe 4.0 x16 interface.

Q: How much VRAM does the GPU have and what is its memory type?

A: Each GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. When two GPUs are installed, the total VRAM available is 32 GB, though the effective usable memory depends on the application's SLI/NVLink support.

Q: What is the process node for both components?

A: The Intel CPU is manufactured on a 10 nm process at Intel, while the NVIDIA GPU uses a 5 nm process at TSMC. The GPU die has 45,900 million transistors on a 379 mm² die, giving a transistor density of 121.1M per mm².

Balance and Bottleneck

The i9-14900F's 92nd percentile CPU ranking versus the GPU's 50th percentile ranking reveals a significant imbalance. In CPU-bound workloads like video encoding, data compression, and physics simulation, the processor will dominate the system's performance profile. The PassMark data compression score of 564207 and physics score of 2899 indicate the CPU has substantial headroom for compute-heavy tasks. The GPU, while capable, will be the limiting factor in graphics-intensive scenarios. Its 32.69 TFLOPS FP32 throughput is respectable but not exceptional, and the 50th percentile placement confirms it is not a top-tier gaming card.

In gaming, the bottleneck shifts to the GPU in most modern titles. The CPU's 32 threads and 5.80 GHz boost clock can feed frames faster than the GPU can render them at high resolutions. The lack of measured FPS data prevents exact quantification, but the delta between the CPU's 92nd percentile and GPU's 50th percentile suggests the GPU will cap frame rates in CPU-light, GPU-heavy games. For esports titles at low settings, the CPU will be the primary driver of high frame rates. In 3D rendering, the CPU's multi-core scores (39551 in Cinebench R23) will determine viewport responsiveness, while the GPU accelerates final frame renders.

The dual GPU configuration introduces a potential bottleneck in the form of driver scaling overhead. Most consumer games do not scale well across multiple GPUs, meaning the second card may sit idle during gaming sessions. In compute workloads that support multi-GPU execution, the 32 GB total VRAM and doubled texture rate (1021.4 GTexel/s combined) provide substantial throughput, but the 50th percentile GPU ranking indicates the individual card performance is the limiting factor for single-GPU workloads.

Upgrade Path and Platform

The Intel Core i9-14900F uses the Intel Socket 1700 platform, which is shared with other 14th Gen processors. This socket supports both DDR4 and DDR5 memory, though the dual-channel memory bus means users must choose one memory type at the time of purchase. The platform supports PCIe Gen 5 with 16 lanes from the CPU, providing forward-looking storage and expansion options. The CPU's 65W TDP is modest for a 24-core part, leaving significant thermal headroom for aftermarket cooling solutions.

The GPU uses a PCIe 4.0 x16 interface and is classified as an IGP (integrated graphics processor) form factor, with no power connectors required. The 150W TDP per GPU means a dual-GPU configuration draws 300W of graphics power. The suggested PSU is not listed in the database, so specific power supply recommendations cannot be made, but the combined CPU and GPU power draw indicates a robust PSU is necessary. The GPU's portable device-dependent display outputs mean the system relies on external display connectivity.

A sensible next upgrade would be to replace the dual RTX 5000 Embedded GPUs with a single higher-performance graphics card. The 50th percentile GPU ranking is the weakest link in this build, and a single top-tier GPU would likely outperform the dual configuration in most gaming scenarios. The CPU has headroom to support a more powerful GPU without becoming a bottleneck, given its 92nd percentile ranking. Memory upgrades are also viable, with support for both DDR4 and DDR5 allowing users to maximize bandwidth for memory-intensive workloads.

Benchmark Performance

The CPU's average benchmark score is 60008, placing it at the 92nd percentile of all CPUs. Its nearest rivals are tightly clustered: the AMD Ryzen 9 7945HX scores 60099 (0.2% higher), the AMD Ryzen 7 8745HX scores 60104 (0.2% higher), and the AMD Ryzen 9 7945HX3D scores 59641 (0.6% lower). The Intel Xeon Gold 6338T scores 60572, which is 0.9% higher. This grouping indicates the i9-14900F is performance-competitive with the best mobile and workstation CPUs available.

In Cinebench R23, the CPU achieves 39551 multi-core and 5583 single-core. The Geekbench scores are 20008 multi-core and 2570 single-core. PassMark results show a multi-thread score of 46532 and single-thread score of 4506. The integer math score of 177066 is notably strong, while the find prime numbers score of 209 is relatively low, indicating the architecture excels at certain instruction types over others.

The GPU has no benchmark scores in the database, with an average score of zero and a 50th percentile ranking. This makes direct comparison impossible, but the specification sheet provides context. The 32.69 TFLOPS FP32 performance and 576.0 GB/s memory bandwidth place it in the mid-range of professional graphics solutions. The combined system percentile of 71 reflects the CPU's strong showing offset by the GPU's middling placement.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is built on the AD103 chip using TSMC's 5 nm process. The 45,900 million transistors on a 379 mm² die achieve a density of 121.1M transistors per square millimeter. The GPU has 9728 shading units, 304 texture mapping units, and 112 ROPs. The 16 GB of GDDR6 memory operates at 2250 MHz with an 18 Gbps effective rate, delivering 576.0 GB/s across a 256-bit bus.

The Ada Lovelace architecture includes 76 RT cores and 304 tensor cores, which accelerate ray tracing and AI workloads. The pixel rate of 188.2 GPixel/s and texture rate of 510.7 GTexel/s indicate solid fill rates for its class. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern graphics APIs. The 150W TDP and IGP form factor with no power connectors make this a power-efficient solution for mobile or compact workstation builds.

The 50th percentile GPU ranking suggests this card delivers average performance relative to all GPUs in the database. For rendering workloads, the dual GPU configuration provides 65.38 TFLOPS of combined FP32 performance and 32 GB of VRAM, which is substantial for large scenes. However, the lack of benchmark scores means the actual rendering performance is unknown. The memory bandwidth of 576.0 GB/s per card is adequate for 1440p gaming but may limit 4K texture-heavy workloads.

CPU Analysis

The Intel Core i9-14900F is a 24-core, 32-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. The 10 nm process at Intel produces a 257 mm² die. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. The CPU supports both DDR4 and DDR5 memory on a dual-channel bus, with ECC memory support for data-critical applications.

The base clock of 2.00 GHz boosts to 5.80 GHz, which is a significant dynamic range for power management. The 65W TDP is remarkably low for a 24-core processor, indicating Intel has optimized the power delivery for efficiency. The CPU is not multiplier-unlocked, meaning overclocking is limited to BCLK adjustments. The launch MSRP is $524, and the production status is active with a release date of 2024-01-07.

The benchmark scores paint a picture of a processor that excels in multi-threaded workloads. The Cinebench R23 multi-core score of 39551 is competitive with the AMD Ryzen 9 7945HX, which is only 0.2% faster on average. The single-core performance of 5583 is strong, supported by the high boost clock. The PassMark data shows exceptional integer math (177066) and floating-point math (119550) performance, while the extended instructions score of 31084 indicates solid AVX-512 or similar instruction set support.

Build Overview

This is a desktop build combining the Intel Core i9-14900F with dual NVIDIA RTX 5000 Embedded Ada Generation X2 GPUs. The CPU is a high-end desktop processor from the Core 14th Gen series, while the GPU is a professional mobile workstation part repurposed for desktop use. The combined percentile of 71 places this system in the upper-middle tier of all configurations in the database.

The CPU's 92nd percentile ranking is the standout feature, making this one of the fastest processors available. The GPU's 50th percentile ranking is the system's weakest point, indicating that the graphics performance is average rather than exceptional. This imbalance suggests the system is designed for compute-heavy workloads that favor CPU performance, such as software development, data analysis, and multi-threaded rendering.

The dual GPU setup is unusual for a desktop build, as the RTX 5000 Embedded is designed for mobile workstations. The IGP form factor and lack of power connectors make installation straightforward, but the portable device-dependent display outputs require careful consideration of connectivity. The system is best classified as a workstation-oriented desktop that prioritizes CPU throughput over gaming performance.

Who Should Build It

High-Refresh Gamers: The CPU's 92nd percentile ranking ensures frame rates are not CPU-limited, but the GPU's 50th percentile placement caps gaming performance. Gamers targeting 1440p at high refresh rates will find this system adequate, but those seeking 4K at maximum settings should look for a higher-performing GPU.

Content Creators: Video editors and 3D artists will benefit from the CPU's 39551 Cinebench R23 multi-core score and the dual GPU's 32 GB total VRAM. The 576.0 GB/s memory bandwidth per GPU accelerates texture loading, while the 304 tensor cores speed up AI-assisted effects.

Software Developers: The CPU's strong integer math (177066) and data compression (564207) scores make this an excellent build for compiling large codebases and running virtual machines. The 32 threads allow for parallel builds, and the ECC memory support ensures data integrity.

Students: While this system is overkill for coursework, the 65W CPU TDP keeps power consumption manageable. The 92nd percentile CPU ensures the system remains relevant for years, though the 50th percentile GPU may become a bottleneck for gaming.

Small Business Workstations: The CPU's reliability and ECC support make this suitable for financial modeling, database management, and scientific computing. The dual GPU configuration provides redundancy for critical rendering tasks, and the 16 GB VRAM per card handles large datasets.