SYSTEM ANALYZER

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

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

87 / 100
HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
74%
VS
GPU
99%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i3-13100E

3,668 Benchmark Score
Top 26% 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

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

Bottleneck Detected

CPU Bottleneck - Upgrading the weaker component will improve overall performance.

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 i3-13100E paired with the NVIDIA RTX 5000 Ada Generation is a study in contrasts: a low-power, four-core desktop processor from Intel’s 13th generation combined with a top-tier workstation GPU that sits at the 98th percentile of all graphics cards. The data shows a system built for professional compute and GPU-accelerated workflows, but with a CPU that will shape its overall behavior in ways that matter for specific tasks. This analysis relies strictly on the provided benchmark scores and specifications, with no measured frame rate data available for this exact combination; any gaming discussion is therefore framed as an estimate derived from the CPU and GPU’s individual performance metrics.

Upgrade Path and Platform

The platform is anchored by the Intel Socket 1700 interface, which supports both DDR4 and DDR5 memory through a dual-channel memory bus. The Core i3-13100E uses the Raptor Lake architecture, specifically the Raptor Lake-S die, and is built on Intel’s 10 nm process node. Memory support is flexible, allowing builders to choose between older DDR4 modules or newer DDR5 kits, though the data does not specify maximum capacities or speeds. The CPU provides PCIe Gen 5 with 16 lanes from the processor itself, which is a notable feature for a chip in this class, as it allows for high-bandwidth connections to storage or expansion cards without relying on the chipset. The memory bus is dual-channel, and ECC memory is supported, which is an unusual and valuable feature for a desktop i3, making this platform suitable for error-sensitive workloads like scientific computing or data processing.

The CPU’s thermal design power is 60 watts, which places it in the efficient range for modern desktop processors. This low power draw means that a capable air cooler will suffice, and the system will not require an elaborate liquid cooling solution. The GPU, however, is a different matter. The RTX 5000 Ada Generation has a thermal design power of 250 watts, and the suggested power supply is 600 watts. This means that while the CPU is frugal, the overall system still demands a robust PSU to handle the GPU’s peak load, especially during sustained compute tasks. The GPU uses a single 16-pin power connector, which is standard for modern high-end cards, and it occupies a dual-slot profile, measuring 267 mm in length and 112 mm in height. Builders should verify case clearance for these dimensions.

A sensible next upgrade path for this platform would focus on the CPU, since the GPU is already at the upper echelon of performance. The Socket 1700 platform supports other Raptor Lake processors, and the data shows that the i3-13100E sits at the 56th percentile of all CPUs, indicating headroom for improvement within the same socket. Upgrading to a higher-core-count Raptor Lake chip would better balance the system for multi-threaded workloads, as the current CPU’s four cores and eight threads will likely become a limiting factor in certain scenarios. The PCIe Gen 5 support on the CPU also ensures that future storage devices or accelerators will not be bottlenecked by the interface. The platform’s support for ECC memory, combined with the low CPU power draw, makes it a stable foundation for a workstation that can be upgraded over time without replacing the motherboard or memory.

Benchmark Performance

The benchmark data for this combination is split between the CPU and GPU, with no measured frame rates available for the pair. The CPU’s average benchmark score is 3668, placing it at the 56th percentile of all CPUs. In Cinebench R23, the i3-13100E scores 11710 in multi-core and 1653 in single-core. The single-core score is competitive, but the multi-core figure reflects the limited core count. In Geekbench, the CPU scores 7025 in multi-core and 2001 in single-core. These numbers show a processor that handles single-threaded tasks well but lags in heavily threaded workloads. The GPU, in contrast, is a powerhouse. Its average benchmark score is 184664, placing it at the 98th percentile of all GPUs. In Geekbench OpenCL, it scores 175286, and in Vulkan, it scores 194041. These figures place the RTX 5000 Ada Generation in the same league as data-center accelerators like the NVIDIA A100 SXM4, with a delta of only 0.5% difference from the 80 GB version and -1.3% from the 40 GB version. The combined percentile for this system is 77, which reflects the imbalance: the GPU dramatically outperforms the CPU in raw compute power.

The combined picture is clear: this system is GPU-centric. The RTX 5000 Ada Generation’s scores indicate a card that excels at parallel computation, while the i3-13100E’s scores show a CPU that is adequate for general tasks but not designed for heavy multi-threaded processing. In applications that leverage the GPU, such as rendering or machine learning, the system will perform exceptionally well. In CPU-bound tasks, the performance will be modest, with the CPU’s 56th percentile ranking indicating that it falls in the middle of the pack. The deltaPct values against rivals show that the CPU is nearly identical in average score to the AMD EPYC 7251 (-0.1%), AMD Ryzen 7 PRO 1700X (-0.1%), and Intel Xeon E5-2658A v3 (0.3%), while being 0.5% ahead of the Intel Core i9-10885H. This means the i3-13100E is not a standout in its class; it is a competent but unremarkable performer.

CPU Analysis

The Intel Core i3-13100E has four cores and eight threads, a configuration that is standard for entry-level desktop processors. The base clock is 3.30 GHz, with a boost clock of 4.40 GHz, providing a solid single-threaded performance envelope. The architecture is Raptor Lake, which represents Intel’s 13th generation of Core processors, and the die size is 163 mm². The cache hierarchy includes 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and 12 MB of shared L3 cache. This cache arrangement is modest by modern standards, but it is sufficient for the core count. The CPU does not have an unlocked multiplier, so overclocking is not supported, limiting enthusiasts who might want to push the chip beyond its rated clocks. The integrated graphics are UHD Graphics 730, which provides basic display output but is not intended for gaming or compute.

The benchmark scores for the CPU reveal its strengths and weaknesses. In Cinebench R15, the multi-core score is 1180 and the single-core score is 166. The single-core result is respectable, indicating that the CPU can handle tasks that rely on a single thread, such as older games or light productivity applications. The multi-core score, however, is limited by the four cores, which is evident when compared to chips with more cores. In Cinebench R20, the multi-core score is 4918 and single-core is 694. The single-core score here is again strong, but the multi-core score shows a proportional decline relative to higher-core alternatives. Cinebench R23 paints a similar picture: 11710 multi-core and 1653 single-core. The Geekbench scores of 7025 multi-core and 2001 single-core reinforce this pattern.

For real workloads, this means the CPU will handle everyday tasks like web browsing, office applications, and light coding without issue. It will also perform adequately in applications that are not heavily multi-threaded, such as some games or single-threaded software. However, in workloads that scale across many cores, such as video encoding, 3D rendering on the CPU, or large-scale compilation, the i3-13100E will be a bottleneck. The CPU’s 56th percentile ranking against all CPUs puts it in the middle of the pack, meaning it is not a high-performance part but rather a budget-conscious option that prioritizes efficiency over raw throughput. The 60 watt TDP makes it an excellent choice for systems where power consumption is a concern, and the ECC memory support adds reliability for data-intensive tasks.

Who Should Build It

This system targets a specific user: someone who needs immense GPU compute power but does not require a high-end CPU. The primary audience is professionals working in fields like 3D rendering, scientific simulation, or machine learning, where the RTX 5000 Ada Generation’s 32 GB of VRAM and 65.28 TFLOPS of FP32 performance will be fully utilized. For these users, the CPU’s role is secondary, handling data loading and I/O while the GPU does the heavy lifting. The GPU’s 98th percentile ranking means it outperforms nearly all other graphics cards, making it suitable for the most demanding render tasks, such as ray-traced scenes or large-scale visual effects.

Gamers at high resolutions could also benefit, but with caveats. At 4K resolution, the GPU will dominate performance, and the CPU’s single-core strength may be sufficient to avoid bottlenecking in many titles. However, at lower resolutions like 1080p, the CPU’s four cores could limit frame rates in CPU-bound games. Content creators who work primarily in GPU-accelerated software, such as Adobe Premiere Pro with CUDA acceleration or DaVinci Resolve, will see excellent performance. The 32 GB VRAM allows for large timelines and complex effects without running out of memory. Software developers working on GPU computing, such as CUDA-based applications, will find the RTX 5000 Ada Generation ideal for testing and prototyping, though compilation times on the CPU will be slower than on a higher-core processor.

Students and small business workstations are also a fit, but only if their workloads are GPU-centric. For general productivity, the i3-13100E is adequate, but the system’s cost is driven by the GPU, making it an overinvestment for basic office tasks. The balanced use case is a small studio or research lab where the GPU is shared across multiple projects, and the CPU’s low power draw and ECC support are valued. The combined percentile of 77 reflects that this is not a well-rounded system; it is a specialized tool for compute-heavy applications.

Balance and Bottleneck

The data clearly indicates that the CPU is the limiting factor in this system. The GPU’s average benchmark score of 184664 is nearly 50 times higher than the CPU’s average score of 3668, and the GPU sits at the 98th percentile while the CPU is at the 56th. This imbalance means that in any workload that primarily uses the CPU, the system will perform at a level consistent with a mid-range desktop, while in GPU-accelerated workloads, it will perform like a high-end workstation. The bottleneck is most pronounced in multi-threaded CPU tasks, where the four cores and eight threads of the i3-13100E will struggle to keep up with data feeding the GPU.

In gaming, the bottleneck will vary by resolution. At 1080p, the CPU’s single-core performance (1653 in Cinebench R23 single-core) is sufficient for many titles, but games that utilize multiple cores will see frame rates limited by the CPU. At higher resolutions like 4K, the GPU becomes the primary driver of performance, and the CPU’s role diminishes, reducing the impact of the bottleneck. The lack of measured FPS data means these are estimates, but the benchmark scores support this analysis. The GPU’s pixel rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s indicate it can push vast amounts of data, but only if the CPU can supply instructions quickly enough.

For professional workloads, the bottleneck depends on the task. In 3D rendering with GPU acceleration, the system will be balanced, as the GPU does the rendering work. In CPU-based rendering, the system will be severely unbalanced, with the CPU’s 11710 Cinebench R23 multi-core score being the primary constraint. The GPU’s 400 tensor cores and 100 RT cores are designed for AI and ray tracing, and these will operate at full capacity if the software can feed them, but the CPU’s role in preparing data and managing memory can create delays. The suggested PSU of 600 watts is adequate for the combined 310 watts of the CPU and GPU, plus other components, indicating that power is not a bottleneck.

Gaming Performance

No measured FPS data exists for this exact CPU and GPU combination. The FACT PACK contains no measuredFps rows, so all frame rate figures are estimates derived from the benchmark scores. The GPU’s Geekbench Vulkan score of 194041 and OpenCL score of 175286 are exceptionally high, indicating that the card can handle demanding graphics workloads. The CPU’s single-core score of 1653 in Cinebench R23 suggests it can keep up with modern game engines that rely on a few fast threads, but its four-core limit may cause stuttering in games that scale to six or eight threads.

At 1080p, estimated performance would be high in most titles, but the CPU could limit frame rates in games like strategy titles or massively multiplayer online games that are CPU-intensive. At 1440p, the GPU becomes more dominant, and frame rates would likely be excellent. At 4K, the GPU’s 32 GB VRAM and 576.0 GB/s memory bandwidth will handle textures and high resolutions with ease, and the CPU bottleneck becomes minimal. For ultra settings, the GPU’s 65.28 TFLOPS of FP32 performance is more than sufficient for rasterized games, and the 100 RT cores provide strong ray-traced performance. A gamer building this system for 4K ultra gaming would see smooth performance in most titles, with the caveat that very CPU-bound games might not reach the highest possible frame rates. These are estimates, and actual performance will vary by game and driver optimization.

Usage Scenarios

High-refresh gaming: The GPU is capable of driving high frame rates, but the CPU may limit performance at lower resolutions. At 1440p or 4K, the system is well-suited for high-refresh monitors, with the GPU’s 98th percentile ranking ensuring it can handle demanding titles. The CPU’s single-core strength helps, but the four-core limit means some games will not scale perfectly.

Streaming: The GPU’s tensor cores are not specifically for encoding, but the card’s raw compute power can handle encoding workloads. The CPU, with eight threads, can manage a streaming workload while gaming, but the lack of measured data means this is an estimate. The system is better suited for GPU-based streaming software, which offloads the work from the CPU.

Video editing: GPU-accelerated effects and rendering will see exceptional performance, with the 32 GB VRAM allowing for large projects and multiple layers. The CPU’s 11710 Cinebench R23 multi-core score will handle timeline operations, but export times will be slower than on a higher-core CPU. The system excels in software that uses CUDA acceleration.

3D rendering: This is the system’s primary strength. The GPU’s 65.28 TFLOPS of FP32 performance and 100 RT cores are ideal for ray-traced rendering. The 32 GB VRAM allows for complex scenes without out-of-memory errors. The CPU’s role is minimal, and the system will outperform most workstations in GPU-based renderers.

Software development: For developers writing GPU code, this system is excellent, with the RTX 5000 Ada Generation providing a powerful testbed. Compilation times will be average, as the CPU’s multi-core score is not high, but the ability to run and debug CUDA applications is a major advantage.

Student and office work: The CPU is sufficient for word processing, spreadsheets, and web browsing. The GPU is overkill for these tasks, but the system will handle them without issue. The low CPU power draw and ECC support make it a reliable workstation, but the cost is unjustified for basic office use.

FAQ

Q: What is the CPU’s socket and does it support modern memory?

A: The Intel Core i3-13100E uses Intel Socket 1700 and supports both DDR4 and DDR5 memory through a dual-channel memory bus, with ECC memory support available.

Q: How does the CPU compare to its nearest rivals in benchmark scores?

A: The i3-13100E has an average benchmark score of 3668, which is 0.1% lower than the AMD EPYC 7251 and AMD Ryzen 7 PRO 1700X, 0.3% higher than the Intel Xeon E5-2658A v3, and 0.5% higher than the Intel Core i9-10885H.

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

A: The RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s and a memory clock of 2250 MHz (18 Gbps effective).

Q: Is the GPU comparable to data center accelerators?

A: Yes, the GPU’s average benchmark score of 184664 is within 0.5% of the NVIDIA A100 SXM4 80 GB and 1.3% lower than the A100 SXM4 40 GB, placing it in the same performance class.

Q: What power supply is recommended for this system?

A: The suggested PSU is 600 watts, which accounts for the GPU’s 250 watt TDP and the CPU’s 60 watt TDP, plus other system components.

Q: Does the CPU support overclocking?

A: No, the multiplier is not unlocked, so overclocking is not supported. The base clock is 3.30 GHz and the boost clock is 4.40 GHz.

Q: Are there any measured gaming frame rates for this combination?

A: No, the FACT PACK contains no measured FPS data for this exact CPU and GPU pair, so all gaming performance is estimated from the benchmark scores.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, using the AD102 chip manufactured by TSMC on a 5 nm process. The die contains 76,300 million transistors on a 609 mm² area, yielding a transistor density of 125.3 million per square millimeter. The GPU has 12,800 shading units, 400 texture mapping units, and 176 raster output units. It includes 100 RT cores and 400 tensor cores, which are dedicated to ray tracing and AI computations, respectively. The base clock is 1155 MHz, with a boost clock of 2550 MHz, and the memory clock is 2250 MHz, translating to 18 Gbps effective.

The memory subsystem is substantial: 32 GB of GDDR6 on a 256-bit bus, providing a bandwidth of 576.0 GB/s. This large VRAM pool is a key differentiator, allowing the GPU to handle datasets and scenes that would exceed the memory capacity of consumer cards. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s, indicating strong fill rates. The FP32 performance is 65.28 TFLOPS, with FP16 performance also at 65.28 TFLOPS due to a 1:1 ratio, which is beneficial for workloads that use mixed precision. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern APIs.

Benchmark results reinforce the GPU’s high-end positioning. The Geekbench OpenCL score is 175286, and the Vulkan score is 194041, with an average benchmark score of 184664. This places the GPU at the 98th percentile of all GPUs. Compared to its nearest rivals, it is 0.5% ahead of the NVIDIA 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 GeForce RTX 4090 D. For rendering, this means the GPU can handle ray-traced scenes with ease, and the tensor cores accelerate AI-based denoising and upscaling. The 250 watt TDP is high, but appropriate for the performance on offer, and the dual-slot design with a 16-pin connector is standard. The GPU is actively produced, with a release date of August 8, 2023, and its predecessor is the Workstation Ampere, with the successor being Blackwell PRO W. In practical terms, this GPU is a top-tier choice for professionals who need maximum compute power in a desktop form factor, and it pairs well with a CPU that, while not a high performer, provides a stable and efficient platform.