SYSTEM ANALYZER

Rate My PC: Intel Core i3-13100 + 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 i3-13100

18,380 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
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 i3-13100 paired with the NVIDIA RTX 5000 Ada Generation is a study in asymmetry. The data places this desktop combination at the 85th percentile overall, yet the individual components occupy vastly different performance tiers. The RTX 5000 Ada sits at the 98th percentile among all GPUs, while the i3-13100 rests at the 72nd percentile among all CPUs. This gap is the defining characteristic of the build, and it dictates which workloads will see the CPU as a limiting factor and which will be dominated by the GPU’s immense compute capacity.

Balance and Bottleneck

The performance distribution between the two components creates a clear bottleneck profile. The CPU’s multi-threaded score of 11,986 in Cinebench R23 is modest, placing it near the Intel Core 3 305, which trails by only 0.4%. Conversely, the GPU’s Geekbench OpenCL score of 175,286 is within 0.5% of the NVIDIA A100 SXM4 80 GB, a data-center class accelerator. This means that in any workload that heavily utilizes the GPU—such as 3D rendering, video encoding, or machine learning inference—the RTX 5000 Ada will be the primary driver, and the CPU will likely wait for the GPU to finish its tasks.

The bottleneck flips in CPU-bound scenarios. The i3-13100’s PassMark single-thread score of 3,460 is strong, but its multi-thread score of 13,726 is constrained by having only 4 cores and 8 threads. In games that rely on a single or few threads, the CPU can keep up with the GPU. However, in modern titles that scale across many cores, the 4-core design will limit frame pacing. The data suggests a 0% deltaPct between the i3-13100 and the Intel Core 7 360 in average score, yet the Core 7 360 likely has more cores, meaning the i3 will struggle in heavily threaded game logic. The PassMark physics score of 870 reinforces this: it is a low number for a desktop CPU, indicating that the CPU is the weaker link in simulation-heavy tasks.

For productivity, the balance is more favorable. The GPU’s 65.28 TFLOPS of FP32 performance and 576.0 GB/s of memory bandwidth can accelerate rendering and compute tasks, but the CPU must feed the data. The i3-13100’s PassMark data compression score of 161,424 is respectable, but the PassMark find prime numbers score of 52 is extremely low, suggesting poor integer-heavy scientific workloads. The takeaway is that this build is GPU-limited in graphics and compute, but CPU-limited in any task that requires high per-core throughput or many threads.

Usage Scenarios

High-refresh gaming: At 1080p or 1440p, the CPU’s 4.50 GHz boost clock and strong single-thread score of 1,692 in Cinebench R23 will drive high frame rates in less demanding titles. However, the 4-core/8-thread configuration will bottleneck the RTX 5000 Ada in newer, multi-threaded games, preventing the GPU from reaching its full potential. The GPU’s 98th percentile ranking suggests it is capable of extreme frame rates, but the CPU will cap that ceiling.

Streaming: The RTX 5000 Ada’s tensor cores (400 total) can handle encoding offload, but the CPU is the bottleneck for encoding software. The i3-13100’s PassMark multithread score of 13,726 is modest, so running a game and a software encoder simultaneously will cause stutters. Hardware encoding via the GPU is the only viable path, and even then, the CPU may struggle to maintain a stable frame rate in CPU-heavy games.

Video editing: The GPU’s 32 GB of VRAM and 576.0 GB/s bandwidth are excellent for scrubbing timelines and applying effects. The Geekbench Vulkan score of 194,041 indicates strong compute for video effects. However, the CPU’s Cinebench R23 multi-core score of 11,986 is below average for modern editors, so export times will be slower than with a higher-core CPU. The i3-13100 will handle preview rendering, but final exports will be CPU-bound.

3D rendering: This is the strongest scenario. The RTX 5000 Ada’s 65.28 TFLOPS FP32 and 100 RT cores make it a rendering powerhouse. The GPU’s score of 175,286 in Geekbench OpenCL is 3.7% ahead of the GeForce RTX 4090 D, indicating it is a top-tier renderer. The CPU’s role is minimal here, as the GPU does the heavy lifting. The i3-13100 will prepare scenes, but the render times will be dictated by the GPU.

Software development: The CPU’s single-thread performance is adequate for compilation, with a PassMark single-thread score of 3,460. However, the 4-core limit will slow parallel builds. The GPU is irrelevant for most code compilation but could accelerate machine learning training. The PassMark extended instructions score of 11,053 suggests decent SIMD performance for math-heavy code, but the low integer math score of 41,313 will hinder certain workloads.

Student and office work: The i3-13100 is more than sufficient for office tasks, with its PassMark single-thread score of 3,460 providing snappy responsiveness. The UHD Graphics 730 integrated GPU is present, but the discrete RTX 5000 Ada is overkill for spreadsheets and documents. This is a massively overpowered build for basic productivity, but it will handle any office task without issue.

Benchmark Performance

The CPU’s average benchmark score is 18,380, placing it at the 72nd percentile. Its nearest rival is the Intel Core 7 360 with a 0% deltaPct, meaning the i3-13100 and Core 7 360 are essentially identical in average performance. The i3-14100 is 0.3% faster, and the Core 3 305 is 0.4% slower. In Cinebench R23, the i3-13100 scores 11,986 multi-core and 1,692 single-core. The multi-core score is low for a modern desktop CPU, but the single-core score is competitive, indicating strong per-thread performance.

The GPU’s average benchmark score is 184,664, placing it at the 98th percentile. Its Geekbench OpenCL score of 175,286 is 0.5% lower than the A100 SXM4 80 GB and 1.3% higher than the A100 SXM4 40 GB. The RTX PRO 5000 Blackwell is 1.4% slower, and the RTX 4090 D is 3.7% slower. The Vulkan score of 194,041 is higher than the OpenCL score, suggesting the GPU is well-optimized for modern APIs.

The combined picture is a system where the GPU outperforms the CPU by a wide margin. The GPU’s 98th percentile versus the CPU’s 72nd percentile means the GPU will dominate any workload that uses it. The combined percentile of 85 reflects the CPU holding the system back from the GPU’s tier.

Who Should Build It

This build targets users who need extreme GPU compute but have modest CPU demands. Gamers at 4K resolution will benefit, as the GPU’s 32 GB VRAM and high bandwidth will render high-resolution textures, and the CPU bottleneck is less pronounced at higher resolutions. Content creators working with large video files or 3D scenes will see the GPU accelerate their workflows, but they must accept slower CPU-side tasks like file compression and scene preparation.

Developers working on machine learning models will find the RTX 5000 Ada’s tensor cores and 32 GB VRAM essential, but the i3-13100 will limit data preprocessing. Students in engineering or data science fields will have a powerful GPU for simulations, but the CPU’s 4 cores will restrict multi-threaded analysis. Small business workstations requiring GPU acceleration for CAD or rendering will benefit, provided the CPU is not the primary bottleneck.

FAQ

Q: What is the combined performance percentile of this build?

A: The build sits at the 85th percentile overall, driven by the GPU’s 98th percentile ranking and the CPU’s 72nd percentile.

Q: How does the RTX 5000 Ada compare to the A100 SXM4 80 GB?

A: The RTX 5000 Ada scores 175,286 in Geekbench OpenCL, which is 0.5% lower than the A100 SXM4 80 GB’s score.

Q: Is the i3-13100 a bottleneck for the RTX 5000 Ada?

A: Yes, in CPU-bound tasks like multi-threaded gaming or software compilation, the 4-core/8-thread design limits performance, but in GPU-bound tasks like rendering, the GPU is the primary driver.

Q: What is the memory bandwidth of the GPU?

A: The RTX 5000 Ada has 576.0 GB/s of memory bandwidth across a 256-bit bus with 32 GB of GDDR6 memory.

Q: What is the CPU’s single-core performance?

A: The i3-13100 scores 1,692 in Cinebench R23 single-core and 3,460 in PassMark single-thread.

Q: Does this build support DDR5 memory?

A: Yes, the CPU supports both DDR4 and DDR5 memory, with a dual-channel memory bus.

Q: What is the power requirement for the GPU?

A: The GPU has a 250 W TDP, and the suggested power supply is 600 W.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact CPU+GPU combination. All frame rate figures are estimates derived from the benchmark scores. The GPU’s 98th percentile ranking and 65.28 TFLOPS FP32 performance indicate it is capable of extreme frame rates at 1080p and 1440p, but the CPU’s 4-core design will limit performance in titles that scale beyond 4 threads. In less demanding games, the i3-13100’s 4.50 GHz boost clock will allow the GPU to achieve high frame rates. In modern, multi-threaded titles, the CPU will cap the frame rate, likely causing the GPU to be underutilized. At 4K, the GPU’s 32 GB VRAM and 576.0 GB/s bandwidth will ensure high texture quality and smooth performance, but the CPU may still cause micro-stutters in CPU-heavy scenes. The estimated results indicate that this build is better suited for GPU-bound gaming scenarios, such as 4K resolution or titles with heavy graphical effects, rather than competitive esports where high CPU clock speeds are critical.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU based on the Ada Lovelace architecture, built on a 5 nm process by TSMC. The chip, designated AD102, contains 76,300 million transistors on a 609 mm² die. It features 12,800 shading units, 400 texture mapping units, and 176 render output units. The GPU is equipped with 100 RT cores and 400 tensor cores, which accelerate ray tracing and AI workloads. The base clock is 1155 MHz, boosting to 2550 MHz. Memory is 32 GB of GDDR6 across a 256-bit bus, yielding a bandwidth of 576.0 GB/s.

The benchmark scores place the GPU at the 98th percentile, with an average score of 184,664. Its Geekbench OpenCL score of 175,286 is within 0.5% of the A100 SXM4 80 GB, indicating comparable compute performance. The Vulkan score of 194,041 is higher, suggesting good driver optimization. The FP32 performance of 65.28 TFLOPS is extremely high, making this GPU suitable for scientific computing and rendering. The pixel rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s are also top-tier. For rendering, the 100 RT cores will accelerate ray-traced scenes, and the 400 tensor cores will speed up denoising and AI-based upscaling. The GPU’s 32 GB VRAM is more than sufficient for large 3D scenes and high-resolution textures, and the 576.0 GB/s bandwidth ensures data can be fed to the GPU quickly.

Build Overview

This is a desktop build pairing the Intel Core i3-13100 with the NVIDIA RTX 5000 Ada Generation. The CPU is a 4-core, 8-thread processor from the Raptor Lake architecture, released in early 2023. The GPU is a workstation-class accelerator from the Ada Lovelace architecture, released in late 2023. The combined percentile is 85, which places it above the majority of systems. The CPU’s 72nd percentile and GPU’s 98th percentile create a lopsided system where the GPU is the dominant component. This is a high-end GPU paired with an entry-level CPU, resulting in a system that excels in GPU-accelerated workloads but is limited in CPU-intensive tasks. The overall tier is upper-midrange, driven by the GPU’s exceptional performance, but the CPU prevents it from reaching the top tier.

CPU Analysis

The Intel Core i3-13100 is a desktop processor from the Core 13th Gen series, based on the Raptor Lake architecture. It has 4 cores and 8 threads, with a base clock of 3.40 GHz and a boost clock of 4.50 GHz. The TDP is 60 W. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache. The CPU is built on a 10 nm process by Intel and has a die size of 163 mm². It supports DDR4 and DDR5 memory in a dual-channel configuration, and provides PCIe Gen 5 with 16 lanes from the CPU. The integrated graphics are UHD Graphics 730.

The CPU’s benchmark scores are modest. The Cinebench R23 multi-core score of 11,986 is low, reflecting the 4-core design. The single-core score of 1,692 is competitive, indicating strong per-thread performance. The PassMark multithread score of 13,726 is below average, but the single-thread score of 3,460 is solid. The PassMark data encryption score of 8,049 and floating point math score of 32,325 are moderate. The integer math score of 41,313 is low, and the find prime numbers score of 52 is very low. In real workloads, the CPU will handle everyday tasks well, but it will lag in multi-threaded applications like video encoding or 3D scene simulation. The 12 MB of L3 cache is helpful for gaming, but the lack of cores limits overall throughput. The CPU is not unlocked for overclocking, and its 60 W TDP makes it power-efficient.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700, which supports the Core 13th Gen series. The platform supports both DDR4 and DDR5 memory, giving builders flexibility. Memory is dual-channel, and the CPU provides PCIe Gen 5 lanes, which are backward compatible with the GPU’s PCIe 4.0 interface. The RTX 5000 Ada uses a PCIe 4.0 x16 connection, which is fully utilized by the CPU’s Gen 5 lanes. The GPU has a 250 W TDP, and the suggested power supply is 600 W, which leaves headroom for the 60 W CPU and other components.

The most sensible next upgrade is the CPU. The i3-13100 is the weakest link, and upgrading to a higher-core-count CPU on Socket 1700 would balance the system. The GPU is already at the 98th percentile, so a CPU upgrade would provide the most significant performance gain. The platform supports DDR5, so moving to faster memory is an option. The PCIe Gen 5 lanes ensure that any future GPU will be compatible. The 600 W PSU is sufficient for the current GPU, but a higher-wattage PSU would be needed for a more power-hungry CPU. The upgrade path is clear: replace the i3-13100 with a higher-core CPU to unlock the GPU’s full potential.