SYSTEM ANALYZER

Rate My PC: Intel Core i3-13100F + NVIDIA RTX 5000 Ada Generation

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

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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91 Score

Top 9% Ranking

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

83%

GPU

99%

PROCESSOR

Intel Core i3-13100F

17,653 Benchmark Score

Top 17% 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

The Intel Core i3-13100F and NVIDIA RTX 5000 Ada Generation form a desktop pairing that sits at the 85th percentile for combined performance, placing it above the vast majority of systems. This combination unites a value-oriented quad-core processor with a flagship-tier workstation GPU, creating a significant performance imbalance that favors the graphics card by a wide margin. The CPU, with a 71st percentile ranking among all processors, provides a solid foundation for mainstream tasks, while the GPU, at the 98th percentile, is a professional-grade rendering powerhouse. The data shows a system designed for compute-heavy professional workloads rather than balanced gaming, and the following analysis breaks down what this pairing means for real-world use.

CPU Analysis

The Intel Core i3-13100F is a 4-core, 8-thread processor based on the Raptor Lake architecture, built on Intel's 10 nm process node. It operates with a base clock of 3.40 GHz and a boost clock of 4.50 GHz, with a thermal design power of 58 W. This is a locked multiplier part, meaning overclocking is not supported, but its power efficiency is evident from the modest TDP. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 12 MB L3 cache. The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, offering flexibility in platform choices.

Benchmark results paint a picture of a capable entry-level CPU that excels in lightly threaded workloads but shows its limits under heavy multi-core loads. In Cinebench R23, the processor scores 1,758 points in single-core and 12,458 points in multi-core. The single-core score is strong for a quad-core part, indicating good responsiveness in everyday tasks and applications that rely on a few fast threads. However, the multi-core score, while respectable, is far below what higher-core-count CPUs achieve, reflecting the physical limitation of having only four physical cores. For real-world workloads, this means the i3-13100F handles web browsing, office productivity, and light code compilation with ease, but it will struggle as a primary processor for heavy 3D rendering or video encoding, where more cores translate directly to faster completion times.

Additional benchmarks corroborate this profile. The Geekbench scores of 2,056 single-core and 7,655 multi-core suggest a balanced performer that is noticeably stronger in single-threaded tasks. The Passmark suite shows a single-thread score of 3,609 and a multithread score of 14,687. More specialized tests reveal the CPU's character: integer math scores 43,038, floating-point math scores 33,510, and extended instructions score 11,407. The data compression score of 168,043 and encryption score of 8,496 indicate solid performance in data-heavy tasks, while the find prime numbers score of 61 and physics score of 1,055 are lower, highlighting the CPU's weakness in highly parallel, compute-intensive algorithms. The average benchmark score of 17,653 places it in a virtual tie with rivals like the Intel Core i7-1255U and Intel Core i3-14100T, with a delta of 0%, and slightly ahead of the AMD Ryzen 3 8300GE by 0.2%. This confirms that the i3-13100F is a competitive entry-level desktop chip, offering performance on par with some mobile and lower-end desktop alternatives.

Balance and Bottleneck

The performance data reveals a stark imbalance between the CPU and GPU in this pairing. The CPU's 71st percentile ranking is solidly mainstream, while the GPU's 98th percentile places it among the top 2% of all graphics cards. This delta of 27 percentile points indicates that the GPU will be the dominant component in most workloads, capable of far more than the CPU can feed it in gaming scenarios. The combined percentile of 85 reflects the GPU's high standing pulling the overall system score upward, but it masks the CPU's relative weakness.

For gaming, this pairing will inevitably create a CPU bottleneck at lower resolutions and settings. The CPU's limited core count and moderate clock speeds will constrain frame rates in games that are heavily dependent on single-thread performance. Benchmark results show the CPU's Passmark single-thread score of 3,609 is good, but not exceptional, meaning it can drive high frame rates in esports titles but may hold back the GPU in more demanding AAA games at 1080p. At higher resolutions like 4K, the GPU becomes the limiting factor, and the CPU bottleneck diminishes, allowing the RTX 5000 Ada to stretch its legs. For professional workloads like 3D rendering, the bottleneck is less clear-cut. The GPU will dominate rendering tasks if the software is GPU-accelerated, but CPU-based rendering will be limited by the i3-13100F's modest multi-core performance, resulting in longer render times compared to a system with a higher-core-count CPU.

The FPS scaling evidence is not available as measured data, but the benchmark scores suggest a clear pattern: the GPU is overqualified for the CPU in gaming, while the CPU is underqualified to fully utilize the GPU's compute potential in CPU-bound professional applications. This is a pairing where the user must be aware that the CPU is the limiting factor in many scenarios, and the GPU's full capability will only be realized in workloads that are exclusively GPU-accelerated and not dependent on CPU throughput.

Benchmark Performance

The GPU, NVIDIA RTX 5000 Ada Generation, delivers exceptional benchmark scores that place it in the highest tier of graphics hardware. It achieves a Geekbench OpenCL score of 175,286 and a Geekbench Vulkan score of 194,041, resulting in an average benchmark score of 184,664. This score puts it at the 98th percentile against all GPUs, making it a top-tier performer. Its nearest rivals include the NVIDIA A100 SXM4 80 GB, which scores 183,725 (a delta of 0.5% meaning the RTX 5000 Ada is slightly ahead), and the NVIDIA A100 SXM4 40 GB, which scores 187,147 (a delta of -1.3% meaning the RTX 5000 Ada is slightly behind). It also compares closely to the NVIDIA RTX PRO 5000 Blackwell, which scores 182,109 (a delta of 1.4% in favor of the RTX 5000 Ada), and the NVIDIA GeForce RTX 4090 D, which scores 178,050 (a delta of 3.7% in favor of the RTX 5000 Ada). This data establishes the RTX 5000 Ada as a professional-grade behemoth, rivaling data center accelerators and outpacing a consumer flagship like the RTX 4090 D by a meaningful margin.

The CPU, by contrast, has an average benchmark score of 17,653, which is a tiny fraction of the GPU's score. This disparity underscores the fundamental imbalance of the pairing. In the combined picture, the system's overall performance is heavily weighted toward the GPU, making it an exceptional workstation for GPU-accelerated tasks like rendering, AI inference, and scientific computing, but a less balanced machine for general-purpose computing where the CPU's lower score will be the limiting factor. The CPU's performance is adequate for typical desktop use, but it is not in the same league as the GPU, and users should expect the graphics card to dominate any performance comparison.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination in the FACT PACK, so all frame rate discussions are estimates derived from the benchmark scores. The data clearly indicates that this is not a balanced gaming system. The RTX 5000 Ada Generation is a workstation GPU, and while it is extremely powerful, its gaming performance is secondary to its compute capabilities. The GPU's Geekbench Vulkan score of 194,041 suggests it can handle any modern game at high settings, but the CPU's performance will be the bottleneck in many scenarios.

At 1080p resolution, the i3-13100F's single-core performance is likely to limit frame rates in CPU-intensive games, potentially capping them below what the GPU can deliver. The CPU's Passmark single-thread score of 3,609 is decent, but it may not be enough to maintain 144 FPS or higher in the most demanding titles. At 1440p, the bottleneck shifts slightly toward the GPU, but the CPU may still limit performance in some games. At 4K, the GPU becomes the primary bottleneck, and the system should deliver high frame rates in most titles, provided the game is not heavily CPU-dependent. Estimated frame rates for esports titles like competitive shooters could be very high, potentially exceeding 200 FPS at 1080p with low settings, but this is speculative. For AAA single-player games, players should expect high settings at 1440p and 4K to be playable, but the CPU may cause stuttering or frame drops in scenes with many on-screen entities. In summary, this system is capable of gaming, but the CPU will hold back the GPU's potential at lower resolutions, and the pairing is not optimized for gaming as a primary use case.

Usage Scenarios

High-Refresh Gaming: This scenario is partially supported but limited by the CPU. The GPU is powerful enough for high frame rates, but the i3-13100F's single-core performance may cap FPS below the 144 Hz or 240 Hz mark in many titles. At 4K, the GPU can deliver high frame rates, but the CPU may be a limiting factor in less demanding games. The pairing is not ideal for competitive gaming at high refresh rates.

Streaming: This is a viable scenario. The CPU's 8 threads are sufficient for encoding a stream using software x264 at reasonable quality settings, but the system will struggle if the game is also CPU-intensive. The GPU's NVENC encoder, which is part of the Ada Lovelace architecture, can offload streaming encoding to the GPU, freeing the CPU for gaming. This makes the system capable of streaming, though the CPU may still bottleneck game performance.

Video Editing: This scenario is well-supported. The GPU's 32 GB of VRAM and high compute performance excel at GPU-accelerated effects, color grading, and rendering in software like Adobe Premiere Pro or DaVinci Resolve. The CPU's multi-core performance is adequate for timeline editing and basic effects, but export times will be longer than with a higher-core-count CPU. The GPU will be the primary workhorse, making this a strong system for video editing.

3D Rendering: This is the system's strongest scenario. The RTX 5000 Ada's 65.28 TFLOPS of FP32 performance and 400 tensor cores are ideal for GPU-accelerated rendering engines like Blender Cycles, V-Ray, and OctaneRender. The GPU will dramatically accelerate render times compared to CPU-only rendering. However, if rendering is CPU-based, the i3-13100F's multi-core score of 12,458 in Cinebench R23 will result in significantly longer render times, making CPU rendering impractical for professional work.

Software Development: This scenario is moderately supported. The CPU's single-core performance is good for compilation of small to medium-sized projects, and the 12 MB L3 cache aids in code execution. However, large build times or running multiple virtual machines will strain the 4-core/8-thread CPU. The GPU is irrelevant for most development tasks, but it would be useful for developers working on GPU compute or machine learning projects.

Student and Office Work: This scenario is fully supported. The CPU's single-core performance of 1,758 in Cinebench R23 ensures snappy responsiveness in web browsers, office suites, and coding tools. The 58 W TDP means the system runs cool and quiet, suitable for a desktop environment. The GPU is overkill for this workload, but it does not hinder performance. This is a wasteful pairing for office work, but it will function flawlessly.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU based on the Ada Lovelace architecture, built on TSMC's 5 nm process node. It uses the AD102 chip, which contains 76,300 million transistors on a 609 mm² die, giving it a transistor density of 125.3 million per mm². The GPU has 32 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s. Memory clocks run at 2250 MHz with an effective speed of 18 Gbps. The GPU's clock speeds are 1155 MHz base and 2550 MHz boost.

Compute resources are vast: 12,800 shading units, 400 texture mapping units, and 176 raster output units. The GPU also includes 100 ray tracing cores and 400 tensor cores, making it a monster for both real-time ray tracing and AI-accelerated workloads. Pixel rate is 448.8 GPixel/s, and texture rate is 1,020.0 GTexel/s. FP32 and FP16 performance are both rated at 65.28 TFLOPS, with FP16 running at a 1:1 ratio. The GPU's TDP is 250 W, requiring a 600 W power supply, and it uses a single 16-pin power connector. It is a dual-slot card measuring 267 mm in length and 112 mm in height.

For rendering, these specifications translate to exceptional performance. The 65.28 TFLOPS of FP32 compute is ideal for simulation and scientific computing. The 400 tensor cores accelerate AI denoising and machine learning inference, which is a boon for content creators using AI-assisted tools. The 32 GB of VRAM is critical for handling massive 3D scenes, high-resolution textures, and large datasets in GPU-accelerated rendering. The 576.0 GB/s bandwidth ensures that data flows quickly to and from the GPU, reducing bottlenecks in large data sets. The RT cores enable hardware-accelerated ray tracing, which is increasingly important in professional visualization. The benchmark scores confirm this: a Geekbench OpenCL score of 175,286 and a Vulkan score of 194,041 place it at the 98th percentile, outperforming the NVIDIA A100 SXM4 80 GB by 0.5% and trailing the A100 SXM4 40 GB by 1.3%. This is a top-tier GPU that will excel in any GPU-accelerated rendering task.

Upgrade Path and Platform

The Intel Core i3-13100F uses the Intel Socket 1700 platform, which is compatible with a range of 12th and 13th generation Core processors. The platform supports both DDR4 and DDR5 memory, offering users a choice based on their motherboard and budget. PCIe support includes Gen 5 with 20 lanes from the CPU, providing high-bandwidth connectivity for the GPU and NVMe drives. The GPU, however, uses a PCIe 4.0 x16 interface, which is fully backward compatible with the CPU's PCIe Gen 5 slots.

The GPU's TDP is 250 W, and the suggested PSU is 600 W, indicating that a reasonably powerful power supply is required. The CPU's TDP is just 58 W, so the overall system power draw is heavily dominated by the GPU. The upgrade path is clear: the most sensible next step is to replace the i3-13100F with a higher-core-count 12th or 13th generation processor, such as an i5 or i7, to better match the GPU's performance. This would alleviate the CPU bottleneck in gaming and improve multi-core performance in rendering and video editing. The GPU itself is a top-tier workstation part, and an upgrade would only be necessary for users moving to even more demanding workloads, such as multi-GPU rendering or massive AI model training. The platform's support for DDR5 memory also allows for a future memory upgrade, though the current dual-channel configuration is already adequate. The 600 W PSU recommendation leaves some headroom for a CPU upgrade, but a more powerful CPU may require a PSU upgrade if it has a higher TDP.

FAQ

Q: Is the Intel Core i3-13100F a good match for the RTX 5000 Ada Generation?

A: The data shows a significant imbalance, with the CPU at the 71st percentile and the GPU at the 98th percentile. The CPU will bottleneck the GPU in many gaming and CPU-bound professional workloads, making it a poor match for gaming but acceptable for GPU-accelerated tasks.

Q: What is the GPU's performance relative to a consumer flagship like the RTX 4090 D?

A: The RTX 5000 Ada Generation has an average benchmark score of 184,664, which is 3.7% higher than the NVIDIA GeForce RTX 4090 D's score of 178,050, according to the nearestRivals data.

Q: How much VRAM does the RTX 5000 Ada have, and why is it important?

A: It has 32 GB of GDDR6 memory. This large capacity is critical for handling massive 3D scenes, high-resolution textures, and large datasets in professional rendering and AI workloads, preventing out-of-memory errors.

Q: Does the CPU support overclocking?

A: No, the multiplier is unlocked, meaning the i3-13100F is not overclockable. Its boost clock is fixed at 4.50 GHz.

Q: What is the memory bandwidth of the GPU, and what does it mean?

A: The GPU has a memory bandwidth of 576.0 GB/s. This high bandwidth ensures that data can be transferred quickly between the GPU and its memory, reducing bottlenecks in large data sets and high-resolution textures.

Q: What is the recommended power supply for this system?

A: The suggested PSU for the GPU is 600 W, based on its 250 W TDP. The CPU's TDP is 58 W, so the total system draw is well within a 600 W power supply's capacity.

Q: Can this system play games at 4K resolution?

A: Estimated from the benchmark scores, the GPU is powerful enough for 4K gaming, but the CPU may limit performance in some titles. At 4K, the GPU becomes the primary bottleneck, so frame rates will be high, but not as high as the GPU could deliver with a stronger CPU.

Who Should Build It

This system is targeted at professional users who need immense GPU compute power for rendering, simulation, or AI workloads, and who prioritize GPU performance over CPU performance. The RTX 5000 Ada's 32 GB VRAM and 65.28 TFLOPS of FP32 performance make it ideal for 3D artists and animators using GPU-accelerated renderers. Data scientists and researchers working with machine learning models will benefit from the 400 tensor cores. Video editors using GPU-accelerated effects and color grading will see significant speedups. However, the i3-13100F limits this system for software developers who use CPU-heavy compilation or for gamers seeking the highest frame rates at 1080p. Students and office workers would be wasting the GPU's potential, as the CPU's performance is more than adequate for their needs, but the cost is unjustified. Small business workstations that rely on GPU-accelerated applications, such as CAD or architectural visualization, would find this pairing extremely capable. In summary, this build is for professionals who know their workloads are GPU-bound and are willing to accept the CPU's limitations as a cost-saving measure.

Build Overview

This is a desktop build that combines the Intel Core i3-13100F, a 4-core/8-thread entry-level processor, with the NVIDIA RTX 5000 Ada Generation, a professional workstation GPU. The pairing sits at the 85th combined percentile, indicating a very high overall performance level. The CPU is a mainstream part at the 71st percentile, while the GPU is a top-tier component at the 98th percentile. This creates a lopsided system where the GPU is the clear performance leader, and the CPU serves as a basic companion. The build is classified as a desktop, and its overall tier is high-end due to the GPU, but the CPU holds it back from being a balanced top-tier system. It is best suited for professional workloads that are heavily GPU-accelerated, where the GPU's performance can be fully utilized, and the CPU's modest capabilities are less of a hindrance. The system's primary strength is its GPU compute power, making it a specialist tool rather than a general-purpose high-performance machine.

Rate My PC: Intel Core i3-13100F + NVIDIA RTX 5000 Ada Generation

Apex Performer

System Balance Analysis

Intel Core i3-13100F

NVIDIA RTX 5000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Optimal Performance

4K Gaming Ready

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Balance and Bottleneck

Benchmark Performance

Gaming Performance

Usage Scenarios

GPU Analysis

Upgrade Path and Platform

FAQ

Who Should Build It

Build Overview

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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