SYSTEM ANALYZER

Rate My PC: Intel Core i3-14100F + 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 i3-14100F

18,519 Benchmark Score
Top 16% Market Ranking
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GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 Benchmark Score
Top 1% Market Ranking
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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 i3-14100F + NVIDIA RTX 5000 Ada Generation: Benchmark Analysis

This pairing combines a 4-core, 8-thread Intel desktop processor with a top-tier NVIDIA workstation GPU, creating an unusual configuration where the CPU ranks in the 72nd percentile among all processors while the GPU sits in the 98th percentile. The combined percentile of 85 reflects a system that is heavily skewed toward GPU-centric workloads, with the RTX 5000 Ada Generation delivering workstation-class compute performance that far outstrips what the modest Core i3-14100F can feed in CPU-bound scenarios.

FAQ

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

A: The combined percentile is 85, meaning this system outperforms roughly 85% of all recorded desktop configurations in the database. The GPU contributes the bulk of this ranking, sitting at the 98th percentile among all GPUs, while the CPU sits at the 72nd percentile among all CPUs.

Q: How does the RTX 5000 Ada Generation compare to its nearest rivals?

A: The RTX 5000 Ada Generation scores 184,664 on average, which places it 0.5% ahead of the NVIDIA A100 SXM4 80 GB (183,725) and 1.4% ahead of the NVIDIA RTX PRO 5000 Blackwell (182,109). It trails the A100 SXM4 40 GB by 1.3% (187,147) but leads the GeForce RTX 4090 D by 3.7% (178,050).

Q: What is the Intel Core i3-14100F's multi-core performance?

A: In Cinebench R23 multi-core, the i3-14100F scores 13,084 points. It achieves 5,495 in Cinebench R20 multi-core and 1,318 in Cinebench R15 multi-core. The Geekbench multi-core score is 7,598, and the PassMark multithread score is 15,420.

Q: Does the RTX 5000 Ada Generation support ray tracing and AI acceleration?

A: Yes, the GPU is built on the Ada Lovelace architecture with 100 RT cores and 400 tensor cores. It also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it fully compatible with modern rendering APIs.

Q: What is the memory configuration of the RTX 5000 Ada Generation?

A: The GPU features 32 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The memory clock runs at 2250 MHz with 18 Gbps effective speed. This large memory pool is a key differentiator for professional workloads.

Q: What is the TDP of each component?

A: The Intel Core i3-14100F has a TDP of 58 watts, while the NVIDIA RTX 5000 Ada Generation has a TDP of 250 watts. The suggested PSU for the GPU alone is 600 watts.

Q: Is there measured FPS data for this exact combination?

A: No, there is no measured FPS data for this specific CPU+GPU pairing. All gaming performance figures discussed in this analysis are estimates derived from the individual component benchmark scores and should be treated as directional rather than definitive.

Benchmark Performance

The CPU delivers an average benchmark score of 18,519, placing it at the 72nd percentile among all processors. Its closest rival is the Intel Core i5-13420H with an average score of 18,511 (0% delta), followed by the AMD Ryzen 3 PRO 8300GE at 18,505 (0.1% delta), the Intel Core i3-13100 at 18,380 (0.8% delta), and the Intel Core 7 360 at 18,374 (0.8% delta). This tight clustering indicates that the i3-14100F performs essentially on par with these mid-range competitors.

The GPU, by contrast, achieves an average benchmark score of 184,664, placing it at the 98th percentile among all GPUs. Its nearest rival, the NVIDIA A100 SXM4 80 GB, scores 183,725 (0.5% delta), while the A100 SXM4 40 GB scores 187,147 (−1.3% delta), the RTX PRO 5000 Blackwell scores 182,109 (1.4% delta), and the GeForce RTX 4090 D scores 178,050 (3.7% delta). The GPU's average benchmark score is nearly ten times higher than the CPU's, illustrating the extreme performance disparity between the two components.

The combined picture is one of dramatic imbalance. In compute-heavy tasks that leverage the GPU—such as rendering, machine learning inference, or scientific simulation—the RTX 5000 Ada Generation will dominate the system's overall capability. In CPU-bound workloads like single-threaded productivity tasks or light multitasking, the i3-14100F's 72nd percentile standing means it will perform adequately but not exceptionally. The Geekbench OpenCL score of 175,286 and Vulkan score of 194,041 for the GPU confirm strong compute throughput across both general-purpose and graphics APIs.

CPU Analysis

The Intel Core i3-14100F is a 4-core, 8-thread desktop processor built on the Raptor Lake architecture (Raptor Lake-R codename) using Intel's 10 nm process. It has a base clock of 3.50 GHz and a boost clock of 4.70 GHz, with a 58-watt TDP. The CPU supports DDR4 and DDR5 memory in dual-channel configuration and features ECC memory support, which is notable for entry-level workstation builds. It uses the Intel Socket 1700 and provides PCIe Gen 5 with 16 lanes from the CPU.

Cache configuration includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache. The die size is 163 mm². In single-thread performance, the CPU scores 1,847 in Cinebench R23, 775 in Cinebench R20, and 186 in Cinebench R15. Geekbench single-core is 2,105, and PassMark single-thread is 3,778. The PassMark data compression score of 176,106 indicates strong throughput for compressed file operations, while the integer math score of 45,357 and floating-point math score of 35,370 show reasonable arithmetic capability for a quad-core part.

The data encryption score of 8,922 and extended instructions score of 11,984 suggest the CPU handles AES and SIMD workloads competently, though not at the level of higher-core-count parts. The find prime numbers score of 61 is a weak point, reflecting the CPU's limited multi-threaded integer throughput in certain algorithmic patterns. The physics score of 1,077 and random string sorting score of 17,596 round out a profile that is best suited for moderately threaded workloads, office productivity, and light content creation rather than heavy multi-threaded rendering or compilation.

For real workloads, the 13,084 Cinebench R23 multi-core score places this chip in the range of capable entry-level desktop processors. It will handle web browsing, document editing, light photo editing, and even 1080p video encoding without significant strain. However, for tasks like 3D rendering, software compilation, or heavy multitasking with dozens of browser tabs and background applications, the 4-core/8-thread configuration will become the limiting factor.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFps rows, so all gaming figures presented here are estimates derived from the benchmark scores and should be treated as projections rather than verified results.

Given the GPU's 98th percentile ranking and the CPU's 72nd percentile, gaming performance will vary dramatically by resolution and title. At 1080p, the CPU will likely bottleneck in most games, as the 4-core/8-thread configuration may struggle to maintain high frame rates in CPU-intensive titles that favor 6-core or 8-core processors. The 13,084 Cinebench R23 multi-core score and 1,847 single-core score suggest the CPU can deliver solid frame pacing in less demanding esports titles, but AAA games with heavy physics or AI simulation will see the CPU as the constraint.

At 1440p, the GPU becomes more of a factor, and the RTX 5000 Ada Generation's 65.28 TFLOPS of FP32 compute and 448.8 GPixel/s pixel rate will push high frame rates in most titles. The 32 GB of GDDR6 memory with 576.0 GB/s bandwidth eliminates any concerns about VRAM capacity at this resolution, even with maximum texture quality and ray tracing enabled. At 4K, the GPU will be the dominant factor, and the CPU's limitations become less pronounced as the rendering resolution increases.

The RTX 5000 Ada Generation's 100 RT cores and 400 tensor cores provide substantial ray tracing and DLSS capability, which can significantly boost frame rates in supported titles. However, the lack of measured data for this pairing means these estimates carry uncertainty—the actual performance will depend heavily on the specific game engine's CPU and GPU utilization patterns.

Who Should Build It

This system targets professionals who prioritize GPU compute over CPU throughput. The 98th percentile GPU ranking makes this an excellent choice for workstation users in fields like 3D rendering, scientific computing, machine learning, and video post-production, where the RTX 5000 Ada Generation's 32 GB VRAM and 576.0 GB/s bandwidth provide substantial advantages for large datasets and high-resolution textures.

Content creators working with 4K or 8K video will benefit from the GPU's compute capabilities, though the CPU's 72nd percentile ranking may slow down timeline scrubbing and encoding tasks that rely on processor performance. The i3-14100F's ECC memory support is a notable feature for professionals who require data integrity in long-running compute jobs.

Students and small businesses building a workstation for CAD, architectural visualization, or data analysis will find the GPU's capabilities aligned with their needs, provided their software can leverage GPU acceleration. Gamers at 1440p or 4K who want maximum visual fidelity will also find this system compelling, though they should be aware that the CPU may limit frame rates in CPU-bound titles at lower resolutions.

Usage Scenarios

High-refresh gaming: At 1080p, the CPU's 72nd percentile ranking may prevent the system from achieving maximum frame rates in esports titles, but at 1440p and above, the GPU's 98th percentile performance will deliver excellent frame rates in most games. The 65.28 TFLOPS of compute power ensures headroom for high refresh rates at higher resolutions.

Streaming: The GPU's 400 tensor cores and 100 RT cores provide hardware-accelerated encoding and AI features that can offload streaming tasks from the CPU. However, the 4-core/8-thread CPU may struggle to run the game and encoding simultaneously in CPU-intensive titles, so streamers should consider a separate encoding setup or lower in-game CPU demands.

Video editing: The GPU's 32 GB VRAM and 576.0 GB/s bandwidth excel at handling large video files, effects, and color grading in GPU-accelerated editors. The CPU's 13,084 Cinebench R23 multi-core score will handle proxy editing and basic timeline operations, but export times may be longer than with higher-core-count CPUs.

3D rendering: The RTX 5000 Ada Generation's 65.28 TFLOPS FP32 performance and 400 tensor cores make it a formidable renderer for GPU-accelerated engines. The CPU's 4-core/8-thread configuration will be a bottleneck for CPU-based rendering, but GPU rendering workloads will see near-maximum performance.

Software development: The CPU's 7,598 Geekbench multi-core score and 15,420 PassMark multithread score handle compilation and IDE tasks reasonably well for small to medium projects. The GPU's compute capabilities are largely unused in typical development workflows, making this pairing overkill for most programming tasks.

Student and office work: The CPU's 1,847 Cinebench R23 single-core score delivers responsive performance for office applications, web browsing, and document editing. The GPU's capabilities are massively underutilized in these scenarios, but the system remains functional for everyday tasks, albeit with excess GPU capacity.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is built on the Ada Lovelace architecture using TSMC's 5 nm process, with 76,300 million transistors on a 609 mm² die (transistor density of 125.3M per mm²). It features 12,800 shading units, 400 TMUs, and 176 ROPs, with 100 RT cores and 400 tensor cores. The GPU operates at a base clock of 1155 MHz and a boost clock of 2550 MHz, delivering 65.28 TFLOPS of FP32 and FP16 (1:1) compute.

Memory configuration consists of 32 GB of GDDR6 on a 256-bit bus, providing 576.0 GB/s of bandwidth. The memory clock runs at 2250 MHz (18 Gbps effective). The pixel rate is 448.8 GPixel/s and the texture rate is 1,020.0 GTexel/s. The GPU uses a dual-slot design with a 16-pin power connector and a suggested PSU of 600 watts.

In Geekbench, the GPU scores 175,286 in OpenCL and 194,041 in Vulkan, placing it at the 98th percentile among all GPUs. Its nearest rival, the NVIDIA A100 SXM4 80 GB, trails by 0.5%, while the A100 SXM4 40 GB leads by 1.3%. The RTX PRO 5000 Blackwell is 1.4% behind, and the GeForce RTX 4090 D is 3.7% behind.

For rendering workloads, the 32 GB VRAM is a standout feature, allowing entire scenes and texture sets to reside in GPU memory without spilling to system RAM. The 576.0 GB/s bandwidth ensures rapid data transfer for large textures and geometry. The 100 RT cores provide hardware-accelerated ray tracing, while the 400 tensor cores enable AI-accelerated features like DLSS and denoising. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, covering all modern graphics APIs. Display output is provided via 4x DisplayPort 1.4a.

Build Overview

This is a desktop build that pairs the Intel Core i3-14100F, an entry-level 4-core/8-thread processor from the Core 14th Gen series, with the NVIDIA RTX 5000 Ada Generation, a top-tier workstation GPU. The combined percentile of 85 reflects a system that sits well above average in overall performance, but the distribution is highly uneven.

The CPU, with an average benchmark score of 18,519 (72nd percentile), is a modest performer that is well-matched to budget desktops and entry-level workstations. The GPU, with an average benchmark score of 184,664 (98th percentile), is a professional-grade compute powerhouse designed for demanding visualization and compute workloads.

The overall tier of this system is defined by the GPU's dominance. In GPU-accelerated workloads, it performs among the top 2% of all recorded GPUs. In CPU-bound tasks, it performs at a level comparable to mid-range laptops and entry-level desktops. This makes the system a specialized tool rather than a balanced general-purpose computer.

The GPU's launch MSRP is not available in the data, but the CPU has a launch MSRP of $109. The production status for both components is active, and both are currently available for purchase. The CPU was released on January 7, 2024, while the GPU was released on August 8, 2023.

Balance and Bottleneck

The performance asymmetry between these two components is stark: the GPU's average benchmark score of 184,664 is approximately ten times the CPU's 18,519. This creates a system where the GPU will almost always be the dominant factor in any workload that can leverage it, while the CPU becomes the limiting factor in everything else.

In gaming scenarios, the bottleneck shifts with resolution. At 1080p, the CPU's 72nd percentile ranking will likely cap frame rates in CPU-intensive titles, as the 4-core/8-thread configuration may not keep up with the GPU's ability to render frames. The 13,084 Cinebench R23 multi-core score suggests the CPU can handle moderate gaming loads, but the GPU's 98th percentile performance means it can output far more frames than the CPU can feed in many scenarios. At 1440p and 4K, the GPU becomes the primary bottleneck as rendering resolution increases, making the CPU's limitations less impactful.

In compute workloads, the GPU dominates completely. The RTX 5000 Ada Generation's 65.28 TFLOPS of FP32 performance versus the CPU's 35,370 PassMark floating-point score illustrates the massive gap in raw compute throughput. Tasks like 3D rendering, machine learning training, and scientific simulation will be almost entirely GPU-bound, with the CPU serving primarily as a coordinator rather than a compute engine.

In CPU-bound workloads, the bottleneck reverses. Software compilation, data compression (PassMark score of 176,106), and multi-threaded office tasks will be limited by the CPU's 4-core/8-thread configuration. The GPU will sit largely idle in these scenarios, reducing the system's overall efficiency. For users who primarily run CPU-bound workloads, this pairing represents a significant imbalance, as the GPU's capabilities go largely unused. The FPS scaling estimates further illustrate this: at lower resolutions, the CPU limits performance, while at higher resolutions, the GPU's headroom becomes more accessible, but the lack of measured data means these conclusions rely on the percentile differential as the primary evidence.