SYSTEM ANALYZER

Rate My PC: Intel Core i3-14100 + NVIDIA RTX 5000 Ada Generation

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

92 / 100
ULTIMATE READY

Apex Performer

Top 8% 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
99%
PROCESSOR

Intel Core i3-14100

18,318 Benchmark Score
Top 16% 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
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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

# Intel Core i3-14100 + NVIDIA RTX 5000 Ada Generation: A Lopsided Powerhouse

This build pairs Intel’s entry-level Raptor Lake refresh quad-core with NVIDIA’s top-tier workstation GPU, creating a system where the GPU operates at the 98th percentile among all graphics cards while the CPU sits at the 72nd percentile. The combined percentile for this pairing is 85, and the data clearly indicates a workstation-oriented configuration where massive parallel compute and 32 GB of VRAM take precedence over CPU-bound gaming scenarios. Benchmark data shows the RTX 5000 Ada Generation outperforms the NVIDIA A100 SXM4 80 GB by 0.5%, trails the A100 SXM4 40 GB by 1.3%, leads the RTX PRO 5000 Blackwell by 1.4%, and beats the GeForce RTX 4090 D by 3.7% in average benchmark score. The Core i3-14100, meanwhile, trades blows with its immediate rivals, sitting within 0.3% of the Intel Core 3 305, Core 5 330, Core 7 360, and Core i3-13100. No measured FPS data exists for this exact CPU-GPU combination, so all gaming frame rate expectations must be treated as estimates derived from the benchmark scores.

Upgrade Path and Platform

The Intel Core i3-14100 uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory through a dual-channel memory bus. This flexibility allows builders to choose between cost-effective DDR4 modules or higher-bandwidth DDR5 kits, though the memory controller’s dual-channel configuration means bandwidth is shared across two channels regardless of memory generation. The CPU provides PCIe Gen 5 with 16 lanes from the processor itself, enabling high-speed connectivity for the latest SSDs and expansion cards, while the GPU’s bus interface is PCIe 4.0 x16, which remains fully compatible with the CPU’s PCIe Gen 5 slots.

The platform supports ECC memory, a feature typically reserved for workstation and server-class hardware, which makes this an unusual but viable option for users who require error-correcting memory for data integrity in scientific or financial workloads. The CPU’s 60 W TDP is modest, and the GPU’s 250 W TDP with a suggested power supply of 600 W means the total system draw is well within the range of mainstream power supplies. The GPU requires a single 16-pin power connector and occupies a dual-slot form factor, which is standard for workstation cards of this class.

For upgrades, the Socket 1700 platform offers a clear path to higher-core-count processors within the same generation, though the data does not specify which specific models are compatible. The Core i3-14100’s 4 cores and 8 threads are the entry point for this socket, and users who find the CPU limiting for multi-threaded workloads can move to processors with more cores without changing the motherboard. The GPU, however, is near the top of its class — the RTX 5000 Ada Generation outperforms the A100 SXM4 80 GB, the RTX PRO 5000 Blackwell, and the RTX 4090 D in average benchmark score, meaning there is little headroom for a meaningful GPU upgrade within the same workstation segment. The 32 GB of GDDR6 memory on the GPU is substantial for large datasets and high-resolution textures, and the 576.0 GB/s bandwidth ensures data can move quickly between the GPU and its memory pool.

Benchmark Performance

The CPU’s benchmark results paint a picture of a processor that excels in single-threaded tasks but shows its quad-core limitation in heavily parallel workloads. In Cinebench R23, the Core i3-14100 scores 12820 in multi-core and 1809 in single-core, a ratio that highlights the diminishing returns of only 4 cores when scaling across multiple threads. The Geekbench scores follow a similar pattern: 7231 multi-core and 2133 single-core. PassMark results show strong integer math performance at 45329 and floating-point math at 35266, but the find prime numbers score of 55 is notably low, indicating weakness in certain algorithmic workloads.

The GPU, by contrast, delivers exceptional raw compute. In Geekbench OpenCL, the RTX 5000 Ada Generation scores 175286, and in Vulkan it reaches 194041. These scores place the GPU at the 98th percentile among all graphics cards, meaning it outperforms approximately 98% of all GPUs in the database. The nearest rival comparisons show the GPU is 0.5% ahead of the A100 SXM4 80 GB, 1.3% behind the A100 SXM4 40 GB, 1.4% ahead of the RTX PRO 5000 Blackwell, and 3.7% ahead of the RTX 4090 D. The combined percentile for this CPU-GPU pairing is 85, which reflects the GPU’s dominance pulling the overall score up despite the CPU’s more modest standing.

The average benchmark score for the CPU is 18318, while the GPU’s average is 184664, showing that the GPU contributes roughly ten times more to the system’s overall compute capability. This disparity is the defining characteristic of this build: the GPU is the clear performance leader, and the CPU serves as a supporting component that can handle everyday tasks and light multi-threading but will not drive performance in GPU-accelerated workloads.

Usage Scenarios

High-refresh gaming: This system is not optimized for high-refresh gaming due to the CPU’s modest single-thread and multi-thread scores. The Core i3-14100’s Cinebench R23 single-core score of 1809 and multi-core score of 12820 indicate that the CPU may bottleneck the GPU in games that rely heavily on processor performance. The GPU’s 98th percentile ranking suggests it can push very high frame rates, but the CPU’s 72nd percentile standing means it will likely limit performance in CPU-bound scenarios.

Streaming: The combination of a quad-core CPU and a workstation GPU creates challenges for streaming. The CPU’s PassMark multithread score of 15095 indicates limited headroom for simultaneous game encoding and background tasks, while the GPU’s tensor cores and 32 GB of VRAM can handle encoding workloads, but the system’s overall balance is skewed toward GPU compute rather than the balanced load that streaming typically requires.

Video editing: Video editing software increasingly leverages GPU acceleration, and this system excels in that regard. The RTX 5000 Ada Generation’s 65.28 TFLOPS of FP32 performance and 576.0 GB/s memory bandwidth provide substantial acceleration for effects rendering, color grading, and export tasks. The CPU’s 4 cores will handle timeline scrubbing and light effects, but the GPU will carry the heavy lifting in rendering.

3D rendering: This is where the system shines. The GPU’s 12800 shading units, 100 RT cores, and 400 tensor cores deliver exceptional performance for ray-traced and AI-accelerated rendering workloads. The 32 GB VRAM allows for large scenes and high-resolution textures without memory swapping, and the GPU’s average benchmark score of 184664 places it firmly at the top of the workstation class.

Software development: The CPU’s single-core performance is adequate for compilation and code editing, with a Geekbench single-core score of 2133 and PassMark single-thread score of 3759. The GPU’s compute capabilities are valuable for developers working on CUDA-accelerated applications, machine learning models, or GPU-optimized algorithms, though the CPU’s limited thread count may slow parallel build times.

Student and office work: This system is massively over-provisioned for typical student or office workloads. The CPU’s PassMark integer math score of 45329 and data encryption score of 8838 are more than sufficient for spreadsheets, document processing, and web browsing, while the GPU’s workstation-class performance is wasted on such tasks. The 60 W CPU TDP and 250 W GPU TDP mean the system draws significant power even under light loads, which is unnecessary for basic productivity.

Balance and Bottleneck

The benchmark data reveals a severe imbalance between the CPU and GPU in this pairing. The GPU’s average benchmark score of 184664 is more than ten times the CPU’s average of 18318, and the GPU’s 98th percentile ranking dwarfs the CPU’s 72nd percentile. In GPU-accelerated workloads such as 3D rendering, machine learning training, or scientific simulations, the GPU will dominate performance, and the CPU will have minimal impact on overall throughput. However, in CPU-bound workloads such as gaming, database operations, or software compilation, the CPU’s 4 cores and 8 threads will become the limiting factor.

The GPU’s nearest rivals provide context for its performance ceiling. It is 3.7% ahead of the RTX 4090 D, a consumer flagship, and within 1.3% of the A100 SXM4 40 GB, a data-center GPU. The CPU’s nearest rivals, including the Core i3-13100 and Core 3 305, are all within 0.3% of the Core i3-14100’s average score, showing that the CPU is not an outlier in its class but rather a typical entry-level quad-core. The combined percentile of 85 reflects this imbalance, as the GPU’s exceptional performance pulls the system’s overall standing above what the CPU alone would achieve.

In terms of FPS scaling, the lack of measured FPS data means estimates must be derived from the benchmark scores. The GPU’s 98th percentile suggests it can deliver extremely high frame rates in GPU-bound games, but the CPU’s 72nd percentile and 4-core/8-thread configuration will likely cap frame rates in CPU-bound titles or at lower resolutions where the processor becomes the bottleneck. For 4K gaming, the GPU would likely be the limiting factor in most titles, but at 1080p or 1440p, the CPU’s single-thread performance may hold back the GPU’s potential.

CPU Analysis

The Intel Core i3-14100 is a 4-core, 8-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh, built on Intel’s 10 nm process node with a die size of 163 mm². It operates at a base clock of 3.50 GHz with a boost clock of 4.70 GHz, and its 60 W TDP makes it power-efficient for a desktop processor. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 12 MB L3 cache, which is modest by modern standards but adequate for a quad-core design.

Benchmark scores show the CPU performing as expected for its class. The Cinebench R23 multi-core score of 12820 and single-core score of 1809 indicate that the CPU delivers strong single-threaded performance for its price point, but the multi-core score reveals the limits of a 4-core design when compared to higher-core-count rivals. The PassMark data compression score of 174115 and random string sorting score of 17397 show solid performance in data manipulation tasks, while the find prime numbers score of 55 is a notable outlier that suggests poor performance in specific integer-heavy algorithms.

The CPU’s integrated UHD Graphics 730 provides basic display output capabilities, though in this build the discrete GPU handles all graphics workloads. The 72nd percentile ranking among all CPUs means it outperforms roughly 72% of processors in the database, which is respectable for an entry-level part but far from competitive with mid-range or high-end processors. For real workloads, the CPU is capable of handling everyday computing, light multi-threaded tasks, and single-threaded applications with ease, but it will struggle with heavy multi-threaded workloads such as video encoding, 3D scene simulation, or large-scale software compilation.

Who Should Build It

This system targets users who prioritize GPU compute performance above all else. The RTX 5000 Ada Generation’s 32 GB VRAM, 576.0 GB/s bandwidth, and 65.28 TFLOPS FP32 performance make it an ideal choice for professionals in 3D rendering, scientific computing, machine learning, and AI research. The GPU’s 98th percentile ranking and its performance advantage over the A100 SXM4 80 GB and RTX PRO 5000 Blackwell position it as a top-tier workstation GPU, while the CPU’s more modest capabilities are acceptable for users who rely primarily on GPU-accelerated workflows.

Content creators working with large video files, high-resolution textures, or complex 3D scenes will benefit from the GPU’s massive VRAM and compute throughput. Developers building CUDA-accelerated applications or training neural networks will find the tensor cores and 400 tensor cores invaluable. The CPU’s 4 cores are sufficient for driving the GPU and handling system-level tasks, but users who also need strong CPU performance for multi-threaded workloads should look elsewhere.

Students and small business users should not build this system, as the GPU’s workstation-class performance and the associated power requirements are unnecessary for typical academic or office tasks. The CPU’s 60 W TDP and GPU’s 250 W TDP with a 600 W suggested PSU mean the system draws significant power, which is wasteful for basic productivity. Gamers at 1080p or 1440p resolution should also avoid this build unless they specifically need the GPU’s compute capabilities, as the CPU will likely bottleneck gaming performance. For 4K gaming, the GPU can deliver very high frame rates in GPU-bound titles, but the CPU’s 72nd percentile ranking remains a concern.

Gaming Performance

No measured FPS data exists for this exact CPU-GPU combination, so all gaming frame rate expectations are estimates derived from the benchmark scores. The GPU’s 98th percentile ranking and its 3.7% performance advantage over the RTX 4090 D suggest that it can deliver extremely high frame rates in GPU-bound games at any resolution. However, the CPU’s 72nd percentile ranking and 4-core/8-thread configuration will likely cap frame rates in CPU-bound titles, particularly at 1080p resolution where the processor must handle more game logic per frame.

At 4K resolution, the GPU is likely to be the primary determinant of frame rates, and its 32 GB VRAM ensures that even the most demanding textures will fit in memory without stuttering. At 1440p, the CPU’s single-thread performance (Cinebench R23 single-core score of 1809 and Geekbench single-core score of 2133) should be sufficient for most games, but the quad-core design may cause frame rate dips in games that utilize more than 4 threads. At 1080p, the CPU will almost certainly bottleneck the GPU in many titles, preventing the GPU from reaching its full potential.

For competitive esports titles that are heavily CPU-bound, the system will underperform relative to its GPU’s capabilities. The CPU’s PassMark single-thread score of 3759 is adequate but not exceptional, and the 4-core design limits the number of background tasks that can run while gaming. For story-driven single-player games that rely on GPU effects and high-resolution textures, the system will deliver excellent visual quality and high frame rates, assuming the CPU can keep up with the game’s processing demands.

FAQ

Q: What is the combined performance percentile of this CPU-GPU pairing?

A: The combined percentile for this desktop build is 85, reflecting the GPU’s 98th percentile ranking pulling up the CPU’s 72nd percentile standing.

Q: How does the RTX 5000 Ada Generation compare to the RTX 4090 D in benchmark scores?

A: The RTX 5000 Ada Generation has an average benchmark score of 184664, which is 3.7% higher than the RTX 4090 D’s average score of 178050.

Q: Does this system support ECC memory?

A: Yes, the Intel Core i3-14100 supports ECC memory, and the platform supports both DDR4 and DDR5 memory types through a dual-channel memory bus.

Q: What power supply is recommended for this build?

A: The suggested PSU for the RTX 5000 Ada Generation is 600 W, which provides sufficient headroom for the CPU’s 60 W TDP and the GPU’s 250 W TDP combined.

Q: What is the GPU’s VRAM capacity and memory bandwidth?

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

Q: How does the Core i3-14100 compare to the Core i3-13100?

A: The Core i3-14100 has an average benchmark score of 18318, which is 0.3% lower than the Core i3-13100’s average score of 18380, making them nearly identical in performance.

Q: What is the GPU’s architecture and process node?

A: The RTX 5000 Ada Generation uses the Ada Lovelace architecture built on TSMC’s 5 nm process, with a die size of 609 mm² and 76,300 million transistors.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated on TSMC’s 5 nm process with a massive 609 mm² die containing 76,300 million transistors. The GPU features 12800 shading units, 400 texture mapping units, and 176 raster operation units, along with 100 RT cores and 400 tensor cores for ray tracing and AI acceleration. Its clock speeds range from a base of 1155 MHz to a boost of 2550 MHz, and it operates at a TDP of 250 W with a dual-slot form factor and a single 16-pin power connector.

Memory configuration is a key strength: 32 GB of GDDR6 on a 256-bit bus delivers 576.0 GB/s of bandwidth, which is substantial for large datasets and high-resolution textures. The memory operates at 2250 MHz with an effective speed of 18 Gbps. The GPU’s pixel rate is 448.8 GPixel/s, texture rate is 1,020.0 GTexel/s, and it delivers 65.28 TFLOPS of FP32 performance, with FP16 performance at 65.28 TFLOPS (1:1 ratio). The bus interface is PCIe 4.0 x16, and display outputs include 4x DisplayPort 1.4a.

In benchmark tests, the GPU scores 175286 in Geekbench OpenCL and 194041 in Geekbench Vulkan, placing it at the 98th percentile among all GPUs. Its average benchmark score of 184664 is 0.5% higher than the A100 SXM4 80 GB, 1.3% lower than the A100 SXM4 40 GB, 1.4% higher than the RTX PRO 5000 Blackwell, and 3.7% higher than the RTX 4090 D. For rendering workloads, the GPU’s combination of massive FP32 throughput, 100 RT cores, and 400 tensor cores provides exceptional performance for ray-traced rendering, AI-accelerated denoising, and compute-heavy simulations. The 32 GB VRAM ensures that even the most complex scenes can be loaded entirely into memory, eliminating the need for texture streaming or geometry culling. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern graphics APIs.