SYSTEM ANALYZER

Rate My PC: Intel Core i3-13100E + NVIDIA GeForce RTX 5090 D V2

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

82 / 100
HIGH-END

Power Build

Top 18% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
74%
VS
GPU
90%
PROCESSOR

Intel Core i3-13100E

3,668 Benchmark Score
Top 26% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090 D V2

16,504 Benchmark Score
Top 10% 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

Strong Performance

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

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 is a 4-core, 8-thread desktop processor based on the Raptor Lake architecture, and it sits in the 56th percentile of all CPUs. The NVIDIA GeForce RTX 5090 D V2 is a Blackwell 2.0 architecture GPU with 24 GB of GDDR7 memory, placing it in the 59th percentile of all GPUs. The combined percentile for this pairing is 58, indicating a system that is positioned in the upper-midrange of the benchmark database, though the data reveals a significant imbalance between the two components that dictates the system's real-world behavior.

Balance and Bottleneck

The benchmark data shows a stark contrast in performance potential between the CPU and GPU, creating a scenario where the processor is the primary limiting factor in most graphics-intensive workloads. The CPU's average benchmark score is 3668, while the GPU's average score is 16504, a difference that suggests the GPU is capable of far more work than the CPU can feed it in real-time rendering scenarios. This imbalance is typical of a configuration where a high-end graphics card is paired with an entry-level processor, and the data supports the conclusion that the Core i3-13100E will bottleneck the RTX 5090 D V2 in gaming and other GPU-bound tasks.

The CPU's single-core score of 166 in Cinebench R15 and 1653 in Cinebench R23 indicates solid per-thread performance for its class, but the multi-core scores of 1180 and 11710 in the same tests reveal its physical core limitation. With only 4 physical cores, the processor relies on hyper-threading to reach 8 threads, which is insufficient to maintain high frame rates in modern games that increasingly utilize more than 4 cores. The GPU's 3DMark Steel Nomad DX12 score of 16504 means it can render frames at a rate that the CPU cannot match, particularly at lower resolutions where the CPU's processing of draw calls becomes the limiting factor.

The data suggests that at 1080p, the CPU will be the bottleneck, as the GPU will be waiting for the CPU to submit work. At higher resolutions, such as 4K, the GPU's workload increases, which may shift the balance slightly toward a more even distribution, but the CPU's 4-core limitation will still constrain the minimum frame rates. The FPS scaling from the benchmark scores indicates that while the GPU has headroom for high refresh-rate displays, the CPU will prevent the system from reaching its full potential in esports titles that rely on high frame rates. The 60 W TDP of the CPU versus the 575 W TDP of the GPU further illustrates the mismatch, with the GPU requiring over nine times the power budget of the processor.

Benchmark Performance

The Intel Core i3-13100E achieves a Cinebench R23 multi-core score of 11710 and a single-core score of 1653. In Geekbench, the processor scores 7025 in multi-core and 2001 in single-core. The average benchmark score across all tested workloads is 3668, placing the CPU in the 56th percentile of all processors in the database. The nearest rivals include the AMD EPYC 7251 with an average score of 3671, a 0.1% difference, and the AMD Ryzen 7 PRO 1700X at 3673, also 0.1% ahead. The Intel Xeon E5-2658A v3 trails by 0.3% with a score of 3658, while the Intel Core i9-10885H is 0.5% behind at 3651. These comparisons place the i3-13100E in a performance tier with much older or server-oriented parts, confirming its position as a budget-oriented CPU.

The NVIDIA GeForce RTX 5090 D V2 scores 16504 in the 3DMark Steel Nomad DX12 benchmark, which is the only GPU benchmark data available. This score places the GPU in the 59th percentile of all GPUs, which is notably lower than expected for a flagship-tier product from the GeForce 50-series. The nearest rivals are the NVIDIA T400 with a score of 16508, a 0% difference, and the AMD Radeon PRO W7500 at 16415, which is 0.5% behind. The NVIDIA RTX PRO 6000 Blackwell scores 16408, 0.6% lower, and the AMD Radeon RX 5700 XT scores 16361, 0.9% behind. The fact that a workstation-oriented GPU like the T400 matches the RTX 5090 D V2's score suggests that the 3DMark Steel Nomad result may not fully represent the GPU's gaming or rendering capabilities, or that the GPU is operating in a constrained environment with the i3-13100E.

The combined picture is one of a system where the GPU's benchmark score is high in absolute terms but its percentile ranking is modest due to the database's inclusion of more powerful workstation and data center parts. The CPU's performance is adequate for general productivity but insufficient to fully utilize the GPU. The combined percentile of 58 reflects this, indicating a system that performs above average overall but is held back by its processor.

Usage Scenarios

For high-refresh gaming at 1080p, the data indicates that this system will be CPU-limited. The Core i3-13100E's single-core performance of 1653 in Cinebench R23 is sufficient for older or less demanding titles, but the 4-core limit will cap frame rates in modern games, preventing the RTX 5090 D V2 from delivering the high frame rates its 104.8 TFLOPS of FP32 performance suggests it is capable of. At 1440p or 4K, the GPU becomes more of a factor, but the CPU will still cause frame drops in CPU-intensive scenes.

Streaming is a workload that will strain the CPU, as the i3-13100E's 4 cores must handle both the game and the encoding process. The multi-core score of 11710 in Cinebench R23 is below what is typically needed for smooth streaming at high bitrates, and the data suggests that software encoding will result in dropped frames or reduced game performance. The GPU's NVENC capabilities are not mentioned in the data, so the analysis must rely on the CPU's limited multi-core throughput.

Video editing in applications like Premiere Pro or DaVinci Resolve will see mixed results. The CPU's single-core score of 2001 in Geekbench is adequate for timeline scrubbing and basic effects, but the multi-core score of 7025 will slow down export times and rendering of complex sequences. The GPU's 24 GB of VRAM and 1.34 TB/s bandwidth can accelerate effects and color grading, but the CPU will be the bottleneck in tasks that are not GPU-accelerated.

3D rendering in applications like Blender or 3ds Max will favor the GPU heavily, as the RTX 5090 D V2's 21,760 shading units and 170 RT cores provide massive parallel processing power. The CPU's role is limited to scene preparation and physics calculations, where its 4 cores are adequate for simple scenes but will struggle with complex geometry. The CPU's 56th percentile ranking suggests it can handle moderate workloads, but professional rendering tasks will be limited by the processor's thread count.

Software development, particularly compilation, is a multi-threaded workload that will expose the CPU's limitations. The Cinebench R23 multi-core score of 11710 is comparable to older 8-core processors, meaning compile times will be acceptable for small projects but slow for large codebases. The GPU is largely irrelevant for this use case, so the system's performance will be dictated entirely by the CPU.

Student and office work is where this system makes the most sense. The i3-13100E's single-core performance is more than sufficient for web browsing, document editing, and spreadsheets, and the UHD Graphics 730 integrated GPU provides a fallback if the discrete GPU is not needed. The 60 W TDP of the CPU means low power consumption during light tasks, and the system's overall performance in this scenario is well above the 56th percentile of CPUs, ensuring smooth operation for typical academic workloads.

Who Should Build It

The data suggests that this build is aimed at users who prioritize the GPU for compute-heavy tasks but do not require top-tier CPU performance. Gamers at 4K resolution, where the GPU is the primary driver of frame rates, would benefit from the RTX 5090 D V2's 24 GB VRAM and high bandwidth, though they should be aware that the CPU will still cause occasional stutters in titles that use more than 4 cores. Content creators working with GPU-accelerated effects, such as colorists using DaVinci Resolve, would see the GPU's 104.8 TFLOPS of FP32 performance shine, but they must accept slower CPU-bound tasks like export encoding.

Developers who write code that can be parallelized on the GPU, such as machine learning engineers using CUDA, would find value in the RTX 5090 D V2's 680 tensor cores, but the CPU's 8 threads will limit data preprocessing and model loading times. Students in engineering or data science programs who need CUDA support for coursework would benefit, but the system is overkill for general academic use, where the integrated graphics would suffice. Small business workstations that run GPU-accelerated applications, such as CAD software or video rendering, would see the GPU's 0.9% advantage over the RX 5700 XT in the 3DMark score, but the CPU's 0.1% deficit to the EPYC 7251 suggests that multi-threaded business applications will not be a strength.

Upgrade Path and Platform

The Intel Core i3-13100E uses the Intel Socket 1700, which supports both DDR4 and DDR5 memory in a dual-channel configuration. The platform also supports PCIe Gen 5 with 16 lanes from the CPU, which is compatible with the RTX 5090 D V2's PCIe 5.0 x16 bus interface. The 60 W TDP of the CPU is modest, and the GPU's suggested PSU of 950 W provides significant headroom for future upgrades, though the current system's total power draw is dominated by the GPU's 575 W TDP.

The data shows that the platform is capable of supporting a more powerful CPU without changing the motherboard, as the LGA 1700 socket accommodates higher-tier 13th generation processors. A sensible next upgrade would be to replace the i3-13100E with a CPU that has more cores and a higher multi-core score, as the current 4-core part is the clear bottleneck. The GPU's 304 mm length and dual-slot width should fit in most mid-tower cases, but the 1x 16-pin power connector requires a PSU with the appropriate cable, which the 950 W suggested PSU should provide. The memory support for both DDR4 and DDR5 means users can choose their memory based on budget, but upgrading to a higher-core CPU will also likely require a memory upgrade to avoid a new bottleneck.

FAQ

Q: Is the Intel Core i3-13100E a good match for the RTX 5090 D V2?

A: No, the benchmark data shows a significant bottleneck. The CPU's average score of 3668 is far below the GPU's 16504, and the CPU's 56th percentile versus the GPU's 59th percentile indicates the CPU will limit the GPU in most workloads.

Q: What is the combined percentile of this system?

A: The combined percentile is 58, which means this system performs better than 58% of all configurations in the database, despite the CPU-GPU imbalance.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i3-13100E supports ECC memory, according to the fact pack, which makes it suitable for entry-level workstations that require data integrity.

Q: What is the GPU's memory bandwidth?

A: The RTX 5090 D V2 has a memory bandwidth of 1.34 TB/s, achieved through a 384-bit bus using GDDR7 memory clocked at 1750 MHz (28 Gbps effective).

Q: What is the launch MSRP of the GPU?

A: The launch MSRP of the NVIDIA GeForce RTX 5090 D V2 is 2,299 USD.

Q: What is the CPU's process node and die size?

A: The CPU is manufactured on Intel's 10 nm process with a die size of 163 mm², while the GPU is on TSMC's 5 nm process with a much larger 750 mm² die.

Q: Which component has a higher TDP?

A: The GPU has a TDP of 575 W, which is significantly higher than the CPU's 60 W TDP, and the system's suggested PSU is 950 W.

CPU Analysis

The Intel Core i3-13100E is a 4-core, 8-thread processor based on the Raptor Lake-S architecture, manufactured on a 10 nm process by Intel. The base clock is 3.30 GHz with a boost clock of 4.40 GHz, and it has 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and 12 MB of shared L3 cache. The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, and it includes UHD Graphics 730 as an integrated GPU. The 60 W TDP makes it a low-power part, and it has a launch MSRP of $480.

In Cinebench R15, the CPU scores 1180 in multi-core and 166 in single-core. The Cinebench R20 scores are 4918 multi-core and 694 single-core, while the R23 scores are 11710 multi-core and 1653 single-core. Geekbench results show 7025 multi-core and 2001 single-core. The average benchmark score is 3668, placing it in the 56th percentile of all CPUs. The nearest rival, the AMD EPYC 7251, scores 3671, a 0.1% difference, meaning the i3-13100E performs essentially identically to a server chip from an older generation.

For real workloads, the single-core performance is competitive with mid-range processors, as evidenced by the 1653 score in R23, which is suitable for everyday tasks and lightly-threaded applications. However, the multi-core performance is limited by the 4 physical cores, leading to a score of 11710 that is comparable to much older 8-core parts. The data shows that this CPU will excel in office productivity and web browsing, but it will struggle with multi-threaded workloads like video encoding, 3D rendering, and software compilation, where its 8 threads are insufficient to maintain high throughput. The 56th percentile ranking places it in the middle of the pack, but this is skewed by the inclusion of low-power and embedded processors in the database.

Build Overview

This is a desktop build that pairs the Intel Core i3-13100E with the NVIDIA GeForce RTX 5090 D V2. The combined percentile of 58 indicates that this system outperforms 58% of all configurations in the database, placing it in the upper-midrange tier. However, this overall ranking masks a significant disparity between the two components: the CPU is in the 56th percentile, while the GPU is in the 59th percentile. The build is best described as a GPU-centric system, where the graphics card is the primary investment and the CPU is a budget-oriented companion.

The data shows that this pairing is unbalanced, with the CPU's average score of 3668 being less than a quarter of the GPU's 16504. This suggests that the system is designed for workloads that are heavily GPU-accelerated, such as gaming at high resolutions, 3D rendering, or AI inference. The CPU is capable of handling the operating system and basic tasks, but it will be the limiting factor in any scenario that requires significant CPU computation. The build class is desktop, and the market segment for the CPU is desktop, confirming that this is a stationary workstation or gaming rig rather than a portable solution.

GPU Analysis

The NVIDIA GeForce RTX 5090 D V2 is a flagship graphics card based on the Blackwell 2.0 architecture, manufactured on a 5 nm process by TSMC. The chip, designated GB202, contains 92,200 million transistors on a die size of 750 mm², resulting in a transistor density of 122.9 million per mm². The GPU has a base clock of 2017 MHz and a boost clock of 2407 MHz, with memory clocked at 1750 MHz (28 Gbps effective). It features 24 GB of GDDR7 memory on a 384-bit bus, providing a bandwidth of 1.34 TB/s.

The shader configuration includes 21,760 shading units, 680 texture mapping units, and 176 render output units. The GPU also has 170 RT cores and 680 tensor cores, making it well-suited for ray tracing and AI workloads. The pixel rate is 423.6 GPixel/s, and the texture rate is 1,636.8 GTexel/s. The FP32 performance is 104.8 TFLOPS, which is identical to the FP16 performance of 104.8 TFLOPS (1:1). The GPU has a TDP of 575 W and requires a 950 W power supply, with a single 16-pin power connector. It is a dual-slot card measuring 304 mm in length, 137 mm in height, and 48 mm in width.

In the 3DMark Steel Nomad DX12 benchmark, the GPU scores 16504, which places it in the 59th percentile of all GPUs. The nearest rival, the NVIDIA T400, scores 16508, a 0% difference, indicating that the RTX 5090 D V2 performs identically to a much lower-tier card in this specific test. The AMD Radeon PRO W7500 scores 16415, 0.5% behind, and the NVIDIA RTX PRO 6000 Blackwell scores 16408, 0.6% behind. The AMD Radeon RX 5700 XT is 0.9% behind with a score of 16361.

For rendering workloads, the GPU's massive shader count and high memory bandwidth suggest it can handle complex scenes and high-resolution textures with ease. The 24 GB VRAM is sufficient for large 3D scenes and high-resolution texture packs, and the 1.34 TB/s bandwidth ensures that data can be fed to the shaders quickly. The 170 RT cores accelerate ray tracing, and the 680 tensor cores provide AI-accelerated features like DLSS, though the data does not specify the DLSS version. The FP32 performance of 104.8 TFLOPS is a strong indicator of raw compute capability, which is useful for scientific computing and machine learning inference.

Gaming Performance

There are no measured FPS rows for this exact combination in the FACT PACK, so all frame rate figures discussed here are estimates based on the benchmark scores and should be treated as approximations rather than empirical results. The data indicates that the GPU's 3DMark Steel Nomad score of 16504 is the primary reference for gaming performance, while the CPU's Cinebench R23 single-core score of 1653 provides context for CPU-bound scenarios.

For gaming at 1080p, the estimated frame rates are likely to be CPU-limited in most modern titles. The i3-13100E's 4 cores and 8 threads will struggle to maintain high frame rates in games that use more than 4 threads, leading to potential stutters and frame drops even if the GPU can render frames quickly. The GPU's high FP32 performance of 104.8 TFLOPS suggests it can render frames at very high rates, but the CPU's 56th percentile ranking will cap the minimum FPS. In esports titles like CS:GO or Valorant, which are typically CPU-bound, the system may achieve high frame rates due to the CPU's strong single-core performance, but the 4-core limit will prevent it from reaching the 300+ FPS that competitive gamers often seek.

At 1440p, the GPU becomes more of a factor, and the estimated frame rates will be higher than at 1080p due to the increased GPU load. The RTX 5090 D V2's 24 GB VRAM and 1.34 TB/s bandwidth are more than sufficient for 1440p gaming, and the GPU should be able to maintain high frame rates in most titles, provided the CPU can keep up. The bottleneck will be less pronounced, but the CPU's single-core performance will still be a limiting factor in games that are not well-optimized for multi-threading.

At 4K, the GPU is the dominant component, and the estimated frame rates will be the highest of the three resolutions. The GPU's pixel rate of 423.6 GPixel/s can handle 4K resolution, and the 24 GB VRAM ensures that high-resolution textures do not cause memory overflow. The CPU's impact on frame rates is reduced at this resolution, but it will still cause occasional stutters in CPU-intensive scenes. Overall, the data suggests that this system is best suited for 4K gaming, where the GPU's strengths are fully utilized and the CPU's limitations are minimized.