SYSTEM ANALYZER

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

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

86 / 100
HIGH-END

Power Build

Top 14% 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
98%

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 GeForce RTX 5090 D

77,712 Benchmark Score
Top 2% 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

# Intel Core i3-13100E + NVIDIA GeForce RTX 5090 D: A Lopsided Desktop Powerhouse

This pairing places a 4-core entry-level CPU alongside a flagship 32 GB GPU, creating a desktop build where the graphics card dominates every workload. The RTX 5090 D sits in the 92nd percentile among all GPUs, while the Core i3-13100E ranks in the 56th percentile among all CPUs, and the combined percentile for the pairing is 74. No measured FPS rows exist for this exact combination in the data, so all frame rate discussions below are estimated from the benchmark scores rather than direct game testing. The data clearly indicates that this system is designed around GPU-bound tasks — 4K gaming, rendering, and compute — where the CPU's modest 4-core design can still feed the GPU adequately, though CPU-heavy scenarios will reveal the imbalance.

Gaming Performance

No measured FPS data exists for this specific CPU+GPU combination, so the following frame rate expectations are qualitative estimates derived from the benchmark scores. The RTX 5090 D's 3DMark Steel Nomad DX12 score of 14,326 and PassMark G3D score of 44,065 indicate exceptional rasterization performance, placing it in the 92nd percentile of all GPUs. The Core i3-13100E's Cinebench R23 single-core score of 1,653 and Geekbench single-core score of 2,001 suggest adequate per-thread performance for game logic and draw calls, but the 4-core/8-thread configuration with a 12 MB shared L3 cache will limit frame pacing in CPU-bound scenes.

At 1080p resolution, the CPU becomes the primary constraint. The i3-13100E's 56th percentile CPU ranking means it trails the median gaming processor, and in esports titles that rely heavily on single-thread performance, the 166 Cinebench R15 single-core score and 694 R20 single-core score will produce playable but not elite frame rates. The RTX 5090 D's raw power — 104.8 TFLOPS FP32 and 423.6 GPixel/s pixel rate — will sit largely idle in these scenarios, as the CPU cannot issue instructions fast enough to keep the GPU saturated.

At 1440p, the balance improves. The GPU's 1.79 TB/s memory bandwidth and 32 GB GDDR7 frame buffer absorb much of the rendering load, and the CPU's 4.40 GHz boost clock helps maintain responsiveness. Estimated frame rates here would be high, but the CPU's 11,710 Cinebench R23 multi-core score indicates that scenes with many dynamic objects or physics calculations will cause dips.

At 4K, the RTX 5090 D fully dominates. The GPU's 92nd percentile ranking, combined with 170 RT cores and 680 tensor cores, suggests it can handle extreme resolutions and ray tracing workloads that would overwhelm lesser cards. The CPU's role diminishes to feeding data, and the 4-core design's 80 KB L1 and 1.25 MB L2 per core provide enough cache for this pipeline. Estimated 4K frame rates are high in most titles, but the lack of measured data means these remain projections based on the GPU's benchmark scores rather than verified results.

Upgrade Path and Platform

The Intel Core i3-13100E uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support also available. The CPU provides Gen 5 PCIe with 16 lanes, while the RTX 5090 D uses a PCIe 5.0 x16 interface, so the connection is fully compatible. The system's TDP is 60 W for the CPU and 575 W for the GPU, and the suggested PSU is 950 W, providing ample headroom for the combined power draw.

The most sensible next upgrade is replacing the i3-13100E with a higher-core-count Socket 1700 CPU. The current 4-core/8-thread configuration with a 3.30 GHz base and 4.40 GHz boost clock represents the entry point of the Raptor Lake generation, and the 12 MB shared L3 cache is the smallest in the lineup. A CPU with more cores would alleviate the 56th percentile CPU ranking, which currently drags down the combined 74th percentile system score. The DDR4 and DDR5 support means memory can be retained or upgraded without changing the board, though the dual-channel bus remains a constraint regardless of memory type.

The RTX 5090 D itself is at the top of its class, so no GPU upgrade is sensible. The 32 GB GDDR7 memory, 512-bit bus, and 1.79 TB/s bandwidth are far beyond what current games require, and the 5 nm process node with 92,200 million transistors represents a flagship design. The PCIe 5.0 x16 bus interface is forward-compatible, so the GPU could move to a future platform, but the current Socket 1700 board's 16 CPU lanes are sufficient for this card. The 950 W suggested PSU provides enough headroom for both components at full load, and the 1x 16-pin power connector is standard for this class.

Benchmark Performance

The CPU's benchmark scores paint a picture of a capable but not exceptional entry-level processor. Cinebench R23 multi-core score of 11,710 and single-core of 1,653 place it in the 56th percentile among all CPUs, with an average benchmark score of 3,668. Geekbench multi-core of 7,025 and single-core of 2,001 confirm this positioning. The nearest rivals are all within 0.5%: the AMD EPYC 7251 at 3,671 (-0.1%), AMD Ryzen 7 PRO 1700X at 3,673 (-0.1%), Intel Xeon E5-2658A v3 at 3,658 (+0.3%), and Intel Core i9-10885H at 3,651 (+0.5%). This tight clustering shows the i3-13100E performs nearly identically to these older or enterprise-focused chips, meaning it trades blows with them across mixed workloads.

The GPU's benchmark scores are in a completely different league. The 3DMark Steel Nomad DX12 score of 14,326 and PassMark G3D score of 44,065 place it in the 92nd percentile among all GPUs, with an average benchmark score of 77,712. Geekbench OpenCL of 310,674 and Vulkan of 376,915 show massive compute throughput. The nearest rivals are the AMD Radeon RX 6650M XT at 76,904 (+1.1%), AMD Radeon RX 6850M XT at 78,940 (-1.6%), NVIDIA Tesla P100 PCIe 12 GB at 79,396 (-2.1%), and NVIDIA Tesla P100 PCIe 16 GB at 79,605 (-2.4%). The RTX 5090 D outperforms the AMD mobile cards by 1.6% to 1.1% and trails the Tesla datacenter cards by 2.1% to 2.4%, which is remarkable for a consumer desktop GPU.

Combined, the system's 74th percentile ranking reflects the GPU pulling the CPU upward. The CPU alone sits below the median, but the GPU's top-decile performance dominates any benchmark that scales with graphics or compute. The data shows a system that excels at GPU-bound tasks but underperforms in CPU-limited scenarios, with the average benchmark score gap between components (3,668 CPU vs 77,712 GPU) indicating a 20x difference in raw throughput.

FAQ

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

A: The combined percentile is 74, placing it above the median of all systems. This reflects the RTX 5090 D's 92nd percentile GPU ranking partially offsetting the Core i3-13100E's 56th percentile CPU ranking.

Q: Does the CPU bottleneck the GPU in gaming?

A: Yes, especially at lower resolutions. The CPU's 4-core/8-thread design with a 56th percentile ranking will limit frame rates in CPU-bound scenes, while the GPU's 92nd percentile ranking has far more headroom than the CPU can feed. At 4K, the bottleneck shifts to the GPU, but at 1080p the CPU is the primary constraint.

Q: What memory types does this platform support?

A: The Intel Socket 1700 platform with the Core i3-13100E supports DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support also available. The memory bus is dual-channel, which limits bandwidth regardless of memory type chosen.

Q: Is the RTX 5090 D a good match for 4K gaming?

A: Based on its benchmark scores, yes. The 32 GB GDDR7 memory, 512-bit bus, and 1.79 TB/s bandwidth, combined with a 92nd percentile GPU ranking, indicate strong 4K performance. However, the CPU may still cause frame dips in scenes with heavy physics or AI.

Q: What is the power supply requirement for this build?

A: The suggested PSU is 950 W, which provides headroom for the CPU's 60 W TDP and the GPU's 575 W TDP. The GPU uses a single 16-pin power connector.

Q: Can this system handle compute workloads like rendering or AI?

A: The GPU is exceptionally well-suited. The RTX 5090 D has 170 RT cores, 680 tensor cores, and 104.8 TFLOPS FP32 throughput, with a PassMark GPU compute score of 28,396. The CPU's 11,710 Cinebench R23 multi-core score is modest, so GPU-accelerated tasks will vastly outperform CPU-only workloads.

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

A: The Core i3-13100E's average benchmark score of 3,668 is within 0.5% of the AMD EPYC 7251 (3,671), AMD Ryzen 7 PRO 1700X (3,673), Intel Xeon E5-2658A v3 (3,658), and Intel Core i9-10885H (3,651). This shows it performs nearly identically to these older or enterprise chips.

CPU Analysis

The Intel Core i3-13100E is a 4-core, 8-thread desktop processor built on the Raptor Lake architecture using Intel's 10 nm process node, with a die size of 163 mm². It has a base clock of 3.30 GHz and a boost clock of 4.40 GHz, with a 60 W TDP that makes it power-efficient for entry-level builds. The cache hierarchy consists of 80 KB L1 per core, 1.25 MB L2 per core, and 12 MB shared L3, which is modest for modern workloads. The integrated UHD Graphics 730 provides basic display output, but the discrete RTX 5090 D renders all graphics in this build.

The CPU's benchmark scores show a clear profile. Cinebench R15 multi-core of 1,180 and single-core of 166, R20 multi-core of 4,918 and single-core of 694, and R23 multi-core of 11,710 and single-core of 1,653 all indicate that single-threaded performance is decent but multi-threaded performance is limited by the 4-core design. Geekbench multi-core of 7,025 and single-core of 2,001 confirm this. The average benchmark score of 3,668 places it in the 56th percentile, meaning it outperforms the median CPU but trails the majority of modern mid-range and high-end processors.

For real workloads, this means the CPU handles office tasks, web browsing, and light productivity well, but it will struggle with heavy multi-threaded applications like video encoding, 3D rendering, or software compilation. The 12 MB shared L3 cache is small by modern standards, which can cause cache misses in data-intensive workloads. The 4.40 GHz boost clock helps with single-threaded responsiveness, but the 3.30 GHz base clock means sustained multi-core loads run slower. The CPU's nearest rivals include server and mobile chips from several generations ago, showing that its performance level is roughly equivalent to a 2017-2020 era processor rather than a current-generation mid-range part.

Who Should Build It

This system targets users who prioritize GPU performance above all else and run workloads that scale heavily with graphics or compute throughput. Gamers playing at 4K resolution will benefit most, as the RTX 5090 D's 92nd percentile ranking and 32 GB GDDR7 memory handle high-resolution textures and ray tracing without issue, while the CPU's limitations become less apparent at higher resolutions. Esports players at 1080p will be disappointed, as the CPU's 56th percentile ranking and 4-core design will bottleneck frame rates in CPU-bound titles.

Content creators using GPU-accelerated applications — video editors, 3D artists, and AI researchers — will find this build compelling. The RTX 5090 D's 170 RT cores, 680 tensor cores, 104.8 TFLOPS FP32, and 28,396 PassMark GPU compute score provide massive acceleration for rendering, training, and inference tasks. The 32 GB VRAM allows loading large models or high-resolution textures that would exceed the memory of lesser GPUs. The CPU's 11,710 Cinebench R23 multi-core score is sufficient for basic asset management and scene setup, but GPU compute will handle the heavy lifting.

Developers working on graphics-intensive applications, game engines, or CUDA-based projects will appreciate the GPU's capabilities, though the 4-core CPU may slow compilation times. Students in computer science or digital arts programs can use this for coursework and personal projects, but the system is overkill for general academic use. Small business workstations handling GPU-accelerated tasks like video rendering, 3D visualization, or data processing would benefit, but the single-GPU configuration and 950 W PSU requirement make it less suitable for multi-GPU or heavily virtualized environments.

Balance and Bottleneck

The data shows a severe imbalance between CPU and GPU performance. The RTX 5090 D's average benchmark score of 77,712 is roughly 21x higher than the CPU's 3,668, and the GPU's 92nd percentile ranking versus the CPU's 56th percentile makes clear which component dominates. In GPU-bound workloads — 4K gaming, rendering, compute — the system performs near the GPU's potential, with the CPU providing just enough throughput to keep the pipeline moving. In CPU-bound workloads — 1080p gaming, simulation, compilation — the CPU becomes the limiting factor, and the GPU's power goes underutilized.

The FPS scaling evidence, though estimated, reinforces this. At 1080p, frame rates would be limited by the CPU's single-core performance (1,653 Cinebench R23 single-core) and 4-core throughput, causing inconsistent frame pacing. At 1440p, the GPU takes on more of the load, and the 1.79 TB/s memory bandwidth helps maintain high frame rates. At 4K, the GPU is fully utilized, and the CPU's role diminishes to feeding draw calls and game logic, which the 4.40 GHz boost clock handles adequately.

The combined 74th percentile ranking reflects this lopsided pairing. The system is not balanced — a 4-core CPU paired with a flagship GPU is a configuration that maximizes GPU compute at the expense of CPU-heavy tasks. For users who run only GPU-bound workloads, this is acceptable. For mixed workloads or CPU-intensive tasks, the system will underperform relative to its cost and the GPU's capability. The bottleneck is the CPU, and it manifests in any scenario where frame rates or task completion times depend on processor speed rather than graphics throughput.

Build Overview

This is a desktop-class build pairing the Intel Core i3-13100E, an entry-level 4-core Raptor Lake processor, with the NVIDIA GeForce RTX 5090 D, a flagship Blackwell 2.0 GPU. The combined percentile of 74 places it in the upper quarter of all systems, driven almost entirely by the GPU's 92nd percentile ranking. The overall tier is "high-performance desktop with a critical CPU bottleneck" — the GPU is top-decile, the CPU is slightly above median, and the mismatch defines the system's character.

The RTX 5090 D is the clear centerpiece. With a 5 nm process node, 92,200 million transistors, and a 750 mm² die, it is a massive chip that draws 575 W TDP and requires a 950 W PSU. The 32 GB GDDR7 memory on a 512-bit bus delivers 1.79 TB/s bandwidth, and the 104.8 TFLOPS FP32 throughput places it among the fastest consumer GPUs ever made. The Core i3-13100E, by contrast, is a modest 60 W processor with 4 cores, 8 threads, and a 10 nm process node, designed for budget builds rather than pairing with flagship hardware.

This build class is desktop, and the system's performance tier is high overall but inconsistent across workload types. In GPU-bound tasks, it competes with systems costing significantly more. In CPU-bound tasks, it performs like a budget build. The launch MSRP of the CPU is $480, and the GPU's launch MSRP is 2,299 USD, but the system's value depends entirely on the user's workload profile.

GPU Analysis

The NVIDIA GeForce RTX 5090 D is built on the Blackwell 2.0 architecture using a 5 nm TSMC process, with 92,200 million transistors on a 750 mm² die. It has 32 GB of GDDR7 memory on a 512-bit bus, delivering 1.79 TB/s of bandwidth. The base clock is 2017 MHz with a boost clock of 2407 MHz, and memory runs at 1750 MHz with 28 Gbps effective speed. The GPU has 21,760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores, with pixel rate of 423.6 GPixel/s and texture rate of 1,636.8 GTexel/s.

The benchmark scores show a GPU that excels at both rasterization and compute. The 3DMark Steel Nomad DX12 score of 14,326 indicates strong DirectX 12 gaming performance, while the PassMark G3D score of 44,065 confirms this. Geekbench OpenCL of 310,674 and Vulkan of 376,915 show massive compute throughput for both general-purpose and graphics APIs. The PassMark GPU compute score of 28,396 further validates the GPU's compute capability, and the PassMark DirectX scores (DX9: 434, DX11: 371, DX12: 219) show that it handles legacy APIs well but excels in modern ones.

For rendering workloads, the 170 RT cores provide hardware-accelerated ray tracing, and the 680 tensor cores enable AI-accelerated features like DLSS and denoising. The 104.8 TFLOPS FP32 and FP16 (1:1) throughput is exceptional for compute-heavy tasks, and the 32 GB VRAM allows loading large scenes or models. The nearest rivals include AMD mobile GPUs and NVIDIA Tesla datacenter cards, with the RTX 5090 D outperforming the RX 6650M XT by 1.1% and RX 6850M XT by -1.6%, while trailing the Tesla P100 variants by 2.1% to 2.4%. This places it in elite company, with the 92nd percentile ranking confirming its position among the top 8% of all GPUs.