SYSTEM ANALYZER

Rate My PC: Intel Core i3-14100F + NVIDIA GeForce RTX 5090 D

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

91 / 100
ULTIMATE READY

Apex Performer

Top 9% 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
84%
VS
GPU
98%
PROCESSOR

Intel Core i3-14100F

18,519 Benchmark Score
Top 16% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090 D

77,712 Benchmark Score
Top 2% 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

The Intel Core i3-14100F and NVIDIA GeForce RTX 5090 D is a pairing of extremes—a low-power, entry-level desktop CPU matched with a flagship, power-hungry GPU. Benchmark data shows a combined percentile of 82, placing it above most systems, but the performance profile is heavily skewed by the GPU. The CPU sits at the 72nd percentile against all CPUs, while the GPU ranks at the 92nd percentile against all GPUs. This discrepancy defines the system’s behavior: it is a GPU-bound monster for high-resolution rendering and compute, but its CPU will bottleneck heavily in CPU-light, high-FPS gaming scenarios. No measured FPS rows exist for this exact combination in the FACT PACK; all FPS discussion is estimated from the benchmark scores.

FAQ

Q: Is the Core i3-14100F a good match for the RTX 5090 D?

A: Benchmark data indicates a significant imbalance. The CPU’s average benchmark score is 18,519, while the GPU’s is 77,712. The GPU is over four times more powerful by average score, meaning the CPU will restrict the GPU in many workloads, particularly those that rely on single-thread performance or fast frame generation.

Q: What are the key specifications of the RTX 5090 D?

A: The GPU is built on the Blackwell 2.0 architecture (GB202 chip) using a 5 nm process. It features 32 GB of GDDR7 memory on a 512-bit bus, delivering 1.79 TB/s of bandwidth. It has 21,760 shading units, 170 RT cores, and 680 tensor cores, with boost clocks up to 2407 MHz.

Q: What memory and socket does the Core i3-14100F require?

A: The CPU uses the Intel Socket 1700 and supports both DDR4 and DDR5 memory in a dual-channel configuration. It also supports ECC memory, which is unusual for a consumer i3.

Q: How does the CPU perform in single-threaded tasks?

A: The CPU scores 1,847 in Cinebench R23 single-core and 2,105 in Geekbench single-core. These scores place it at the 72nd percentile overall, indicating solid, if not spectacular, performance for everyday tasks and older games.

Q: What is the GPU's performance in compute benchmarks?

A: The GPU achieves 104.8 TFLOPS of FP32 performance and scores 310,674 in Geekbench OpenCL and 376,915 in Geekbench Vulkan. These numbers indicate exceptional raw computing power for rendering and AI workloads.

Q: Does this system support PCIe 5.0?

A: Yes. The CPU provides Gen 5 with 16 lanes (CPU only), and the GPU uses a PCIe 5.0 x16 bus interface. This ensures the GPU has full bandwidth available.

Q: What power supply is recommended for this build?

A: The GPU has a TDP of 575 W and uses a 1x 16-pin power connector. The suggested PSU for the GPU is 950 W. The CPU’s TDP is only 58 W, but the total system draw will be dominated by the GPU.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the Core 14th Gen series. The Core i3-14100F uses the Raptor Lake architecture (Raptor Lake-R) on a 10 nm process. It is a desktop-class CPU with a 58 W TDP, making it very power-efficient. The memory controller supports both DDR4 and DDR5, allowing builders to choose between cheaper or faster memory, though the dual-channel bus will be a limiting factor for the GPU in some scenarios.

The PCIe setup is robust: the CPU offers Gen 5 with 16 lanes, and the GPU is designed for PCIe 5.0 x16. This is a future-proof connection, ensuring the RTX 5090 D is not bandwidth-starved. However, the CPU itself is the bottleneck. With only 4 cores and 8 threads, it has a 12 MB shared L3 cache. The nearest rival, the Intel Core i3-13100, is only 0.8% slower, and the Intel Core i5-13420H is essentially tied at 0% deltaPct. This means the i3-14100F is at the top of its class, but the class itself is entry-level.

For a sensible next upgrade, the data suggests moving to a higher-core-count CPU on the same socket. The motherboard can likely support a Core i7 or i9 from the same generation, which would better feed the RTX 5090 D. The GPU’s suggested PSU of 950 W leaves headroom for a more power-hungry CPU, as the i3-14100F only draws 58 W. The GPU requires a 16-pin power connector, so the PSU must have that cable or an adapter. The platform is not outdated, but the CPU is the weakest link in high-end gaming or content creation.

GPU Analysis

The NVIDIA GeForce RTX 5090 D is a data-center-grade GPU in a desktop form factor. It uses the GB202 chip on a 5 nm TSMC process, with 92,200 million transistors on a 750 mm² die. The memory subsystem is massive: 32 GB of GDDR7 on a 512-bit bus, yielding 1.79 TB/s of bandwidth. This is critical for high-resolution textures and large datasets in 3D rendering or AI inference. The GPU has 21,760 shading units, 680 TMUs, and 176 ROPs. It also includes 170 RT cores and 680 tensor cores, which handle ray tracing and DLSS workloads respectively.

Clock speeds are a base of 2017 MHz and a boost of 2407 MHz. This translates to a pixel rate of 423.6 GPixel/s and a texture rate of 1,636.8 GTexel/s. The FP32 performance is 104.8 TFLOPS, which is the same as FP16 (1:1 ratio), indicating a compute-focused design. Benchmark scores reflect this: the GPU scores 14,326 in 3DMark Steel Nomad DX12, which is a high-end result, and 44,065 in Passmark G3D. The Geekbench OpenCL score of 310,674 and Vulkan score of 376,915 are exceptional.

Compared to its nearest rivals, the deltaPct values are small. The AMD Radeon RX 6650M XT is 1.1% slower, and the AMD Radeon RX 6850M XT is 1.6% faster. The Tesla P100 variants are 2.1-2.4% faster. This suggests the 5090 D is very close in average benchmark score to those GPUs, which is surprising given its modern architecture. The Passmark DirectX scores are lower (231 for DX10, 371 for DX11, 219 for DX12), but these are synthetic metrics that do not fully capture the GPU’s compute capability. For rendering, the 32 GB VRAM and 1.79 TB/s bandwidth are the standout features, allowing for massive scenes that would exceed smaller GPUs. The RT cores and tensor cores are present in high numbers, making it a strong choice for ray-traced workloads and DLSS-enhanced gaming.

Balance and Bottleneck

The data clearly shows a CPU bottleneck in most scenarios. The CPU’s percentile is 72, while the GPU’s is 92. The combined percentile is 82, which is dragged down by the CPU. The CPU has a Passmark single-thread score of 3,778 and a multithread score of 15,420. The GPU’s Passmark G3D score is 44,065. In a gaming workload, the CPU must process game logic and draw calls before the GPU can render frames. With only 4 cores, the i3-14100F will struggle to keep up with the RTX 5090 D’s ability to render frames.

For example, the CPU’s Cinebench R23 multicore score is 13,084, which is decent, but the GPU’s compute scores are orders of magnitude higher. In a worst-case scenario, the GPU will be idle waiting for the CPU. This is evident in the Passmark physics score of 1,077, which is low. The CPU’s data encryption score is 8,922, and its data compression score is 176,106, but these are not gaming-relevant. The bottleneck is most severe at lower resolutions (1080p or 1440p) where the CPU limits frame rate; at 4K, the GPU becomes the limiting factor, and the system performs more in line with the GPU’s potential.

The FPS scaling is not measured, but estimated from the scores. The CPU’s single-thread performance (Geekbench 2,105) is adequate for 60 FPS gaming in most titles, but not for high-refresh 240 Hz gaming. The GPU can handle 4K high-refresh, but the CPU will cap the frame rate. For content creation, the CPU’s 4 cores will slow down video encoding or 3D scene compilation, while the GPU accelerates rendering. The balance is heavily skewed; a user should prioritize a CPU upgrade before relying on the GPU’s full power.

CPU Analysis

The Intel Core i3-14100F is a 4-core, 8-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It is manufactured on Intel’s 10 nm process, with a die size of 163 mm². The base clock is 3.50 GHz, and it boosts up to 4.70 GHz. The cache hierarchy is 80 KB L1 per core, 1.25 MB L2 per core, and 12 MB shared L3. It supports dual-channel DDR4 and DDR5 memory, and ECC memory is a notable feature for stability in workstation tasks.

Benchmark results show a competent entry-level chip. The Cinebench R23 multicore score is 13,084, and single-core is 1,847. Geekbench scores are 7,598 multicore and 2,105 single-core. The Passmark multithread score is 15,420, and single-thread is 3,778. These numbers place it at the 72nd percentile against all CPUs. The nearest rival, the Intel Core i5-13420H, has an average score of 18,511, a 0% deltaPct, meaning they are effectively tied. The AMD Ryzen 3 PRO 8300GE is 0.1% faster, and the Intel Core i3-13100 is 0.8% slower.

The CPU’s real-world performance is suited for light multitasking, office work, and gaming at 60 FPS. The Passmark integer math score is 45,357, and floating-point math is 35,370, indicating moderate number-crunching ability. The extended instructions score is 11,984, which helps with newer software. The find prime numbers score is 61, which is very low, suggesting weak integer-heavy workloads. For software development, the 4 cores will compile code slower than a 6- or 8-core chip. The TDP of 58 W makes it easy to cool, but it is not unlocked for overclocking. Overall, this CPU is a budget option that performs adequately for basic tasks but will be the limiting factor in a system with a top-tier GPU.

Who Should Build It

This pairing targets specific users who need the GPU’s massive compute power but are on a tight CPU budget or have workloads that are entirely GPU-bound. The RTX 5090 D with 32 GB VRAM is ideal for AI researchers, 3D renderers, and video editors who work with large files. The CPU’s 72nd percentile means it handles general system tasks, but the GPU’s 92nd percentile is where the value lies. Gamers at 4K resolution will benefit, as the GPU will be the primary driver, but they must accept that the CPU will limit frame rates in CPU-heavy titles. Content creators using GPU-accelerated renderers (like those using CUDA or OptiX) will see massive speedups despite the CPU’s limitations.

Students and small business workstations can use this for data analysis or machine learning, where the GPU’s tensor cores accelerate training. The CPU’s ECC memory support is a plus for long-running simulations. However, this is not a balanced build for general use. A developer compiling large codebases will be frustrated by the 4 cores, and a gamer seeking 240 Hz at 1080p will be bottlenecked. The target user is someone who understands that the GPU is the investment and the CPU is a placeholder to be upgraded later. The system’s combined percentile of 82 reflects this: it is above average, but the CPU prevents it from being elite.

Usage Scenarios

High-refresh gaming: At 1080p or 1440p, the CPU’s single-thread score of 2,105 in Geekbench will cap frame rates. Expect 60-100 FPS in modern titles, not the 240 Hz the GPU can output. At 4K, the GPU’s 32 GB VRAM and 1.79 TB/s bandwidth allow maximum settings, but CPU limits will still cause stutters in physics-heavy scenes.

Streaming: The GPU’s NVENC encoder is not specified, but the tensor cores (680) can handle AI-based encoding. The CPU’s 4 cores will struggle with encoding alongside gaming; streaming software will contend with game threads, leading to dropped frames. A dedicated streaming PC or a CPU upgrade is recommended.

Video editing: The GPU’s 104.8 TFLOPS FP32 and 32 GB VRAM excel in GPU-accelerated effects and color grading. The CPU’s Passmark multithread score of 15,420 will slow down timeline scrubbing and export in CPU-bound codecs (e.g., H.264). For 8K or RAW footage, the GPU is a boon, but the CPU is a bottleneck for previews.

3D rendering: This is the best scenario. The GPU’s 170 RT cores and 680 tensor cores accelerate ray tracing and denoising. The Geekbench Vulkan score of 376,915 indicates exceptional render performance. The CPU’s role is minimal during GPU rendering, so the i3-14100F’s 4 cores are acceptable, though scene preparation will be slow.

Software development: The CPU’s 4 cores and 8 threads are a drawback. Compiling code relies on integer math (45,357 in Passmark) and multithreading (15,420). The GPU is irrelevant for most development tasks. This build is poor for this use case unless the developer is working on GPU compute or shader code.

Student and office work: The CPU’s 3,778 single-thread score in Passmark handles word processing, spreadsheets, and web browsing smoothly. The GPU is overkill for this, but if the student does CAD or data science, the GPU’s compute power is a plus. The 58 W CPU TDP makes the system quiet and cool for a dorm room, but the GPU’s 575 W TDP requires a robust PSU.

Build Overview

This is a desktop-class build, as indicated by the buildClass field. The CPU is a Core i3-14100F from the 14th Gen series, an entry-level part with a 72nd percentile ranking. The GPU is an NVIDIA GeForce RTX 5090 D, a flagship Blackwell 2.0 part with a 92nd percentile ranking. The combination yields a combined percentile of 82, which is the 82nd percentile of all possible pairings. This is a high-performing system overall, but the disparity between the CPU and GPU percentiles is stark.

The CPU’s launch MSRP is $109, while the GPU’s launch MSRP is 2,299 USD. The data shows no measured FPS for this pairing, so performance is estimated. This build is a GPU-centric workstation with a placeholder CPU. It is not a balanced gaming rig; it is a compute monster that happens to have a weak processor. The GPU’s 32 GB VRAM and 1.79 TB/s bandwidth are the headline features, making it suitable for professional workloads. The CPU is adequate for basic tasks but will need an upgrade to unlock the GPU’s full potential in gaming or multithreaded apps. The platform (Socket 1700) supports future CPU upgrades, so the build has a clear path forward.

Benchmark Performance

The CPU’s average benchmark score is 18,519, with a percentile of 72. Its best results are in Passmark data compression (176,106) and integer math (45,357). The Cinebench R23 multicore score is 13,084, and single-core is 1,847. Geekbench multicore is 7,598, and single-core is 2,105. The GPU’s average benchmark score is 77,712, with a percentile of 92. It scores 14,326 in 3DMark Steel Nomad DX12 and 44,065 in Passmark G3D. The Geekbench OpenCL score is 310,674, and Vulkan is 376,915.

The combined picture is one of extreme GPU dominance. The CPU’s scores are typical of a budget quad-core, while the GPU’s scores are near the top of the database. The nearest rival for the CPU is the Intel Core i5-13420H, which is 0% different in average score, confirming the i3 is competitive within its class. The GPU’s nearest rival is the AMD Radeon RX 6650M XT, which is 1.1% slower, and the AMD Radeon RX 6850M XT, which is 1.6% faster. These small deltas suggest the RTX 5090 D is not the absolute fastest GPU in the database, but it is within a few percent of the leaders. The CPU’s Passmark single-thread score of 3,778 is solid for everyday tasks, but the GPU’s compute scores (FP32 at 104.8 TFLOPS) are in a different league. In a benchmark like Passmark G3D, the GPU scores 44,065, which is over 2.8 times the CPU’s total average score. This means the GPU will dominate any workload that uses it, but the CPU will bottleneck in tasks that cannot be offloaded. The data shows a system that is 92nd percentile in graphics but only 72nd percentile in processing, making it a specialized tool rather than a general-purpose powerhouse.