SYSTEM ANALYZER

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

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

79,842 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

# Usage Scenarios

The Intel Core i3-13100E paired with the NVIDIA GeForce RTX 5090 creates a desktop configuration with a stark performance divide. The combined percentile of 74 places this build above most systems, but the CPU's 56th percentile versus all CPUs and the GPU's 92nd percentile versus all GPUs reveal a significant imbalance that shapes every use case.

High-refresh gaming: The RTX 5090, with its 32 GB of GDDR7 memory and 104.8 TFLOPS of FP32 compute, is clearly designed for extreme frame rates. However, the Core i3-13100E's quad-core design with 8 threads, boosting to 4.40 GHz, may limit performance in CPU-bound scenarios at high refresh rates. The GPU's 3DMark Steel Nomad DX12 score of 18355 indicates immense rasterization power, but the processor's Cinebench R23 single-core score of 1653 suggests it can feed frames adequately in many titles, though not all.

Streaming: The RTX 5090's dedicated tensor cores (680 of them) and encoder hardware make it well-suited for encoding workloads. The GPU's Geekbench OpenCL score of 334370 demonstrates massive parallel throughput for encoding tasks. The CPU's 4 cores may struggle with simultaneous gaming and streaming if the game itself is CPU-intensive, but the GPU can offload much of the encoding work, making this pairing viable for lighter streaming scenarios.

Video editing: The RTX 5090's 1.79 TB/s memory bandwidth and 21760 shading units provide exceptional acceleration for effects, rendering, and timeline playback in GPU-accelerated editors. The GPU's Passmark G3D score of 39650 reinforces its editing prowess. However, the Core i3-13100E's Geekbench multicore score of 7025 indicates moderate CPU-side processing for decoding, encoding, and project management tasks, which could become a bottleneck in complex multi-layer timelines.

3D rendering: This workload heavily favors the GPU. The RTX 5090's 170 ray tracing cores and 104.8 TFLOPS of FP16 performance (1:1 with FP32) make it a rendering monster. The CPU's Cinebench R23 multicore score of 11710, while reasonable for a quad-core, pales in comparison to what higher-core-count processors deliver. GPU-based renderers like those using CUDA or OptiX will see massive performance, while CPU-based rendering will be limited by the 4-core processor.

Software development: Compilation and build tasks are typically CPU-bound. The Core i3-13100E's 4 cores and 8 threads with a base clock of 3.30 GHz and boost of 4.40 GHz provide adequate performance for smaller projects. The Cinebench R20 multicore score of 4918 suggests moderate compilation throughput. The RTX 5090 offers no direct benefit for code compilation but accelerates GPU compute development, machine learning experimentation, and shader compilation previews.

Student and office work: This pairing is massively overprovisioned for typical productivity tasks. The CPU's single-core performance, reflected in the Cinebench R15 single-core score of 166, handles document editing, web browsing, and spreadsheet work effortlessly. The GPU's capabilities are entirely unnecessary for these workloads, making this a high-cost solution for basic tasks, but the system would never struggle with office productivity.

# Benchmark Performance

The benchmark data reveals a profound performance asymmetry. The CPU's average benchmark score stands at 3668, placing it at the 56th percentile of all CPUs. Its nearest rivals include the AMD EPYC 7251 (score 3671, delta -0.1%), AMD Ryzen 7 PRO 1700X (score 3673, delta -0.1%), Intel Xeon E5-2658A v3 (score 3658, delta 0.3%), and Intel Core i9-10885H (score 3651, delta 0.5%). These deltas, all within 0.5%, place the i3-13100E in a tight cluster of mid-range processors from several generations.

The GPU, by contrast, achieves an average benchmark score of 79842, placing it at the 92nd percentile of all GPUs. Its nearest rivals are the NVIDIA Tesla P100 PCIe 16 GB (score 79605, delta 0.3%), NVIDIA Tesla P100 PCIe 12 GB (score 79396, delta 0.6%), AMD Radeon RX 6850M XT (score 78940, delta 1.1%), and AMD Radeon Pro Vega 64X (score 80959, delta -1.4%). The RTX 5090 sits slightly above the Tesla P100 variants and RX 6850M XT, but trails the Radeon Pro Vega 64X by 1.4%.

The combined percentile of 74 reflects the overall system position, dragged down by the CPU's lower relative standing. In specific benchmarks, the CPU scores 1180 in Cinebench R15 multicore, 166 in R15 single-core, 4918 in R20 multicore, 694 in R20 single-core, 11710 in R23 multicore, 1653 in R23 single-core, 7025 in Geekbench multicore, and 2001 in Geekbench single-core. The GPU scores 18355 in 3DMark Steel Nomad DX12, 334370 in Geekbench OpenCL, 376728 in Geekbench Vulkan, 39650 in Passmark G3D, and 26756 in Passmark GPU Compute. The combined picture is a system with extraordinary graphics capability hamstrung by modest processor performance.

# CPU Analysis

The Intel Core i3-13100E is built on the Raptor Lake architecture, specifically Raptor Lake-S, fabricated on Intel's 10 nm process node. The die size measures 163 mm². It features 4 physical cores and 8 threads, with a base clock of 3.30 GHz and a boost clock of 4.40 GHz. The thermal design power is 60 W, making it a low-power desktop part. The processor supports DDR4 and DDR5 memory in a dual-channel configuration and includes ECC memory support, a feature typically found in workstation-focused chips.

The cache hierarchy consists of 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and 12 MB of shared L3 cache. This cache configuration supports the processor's single-core performance, which is reflected in the Cinebench R23 single-core score of 1653. The boost clock of 4.40 GHz, combined with 12 MB of L3 cache, helps the processor deliver responsive performance in lightly threaded workloads.

The processor's Cinebench R23 multicore score of 11710 demonstrates that the 4 cores, with simultaneous multithreading, can handle moderate parallel workloads. However, the Geekbench multicore score of 7025 indicates that scaling beyond 4 cores is limited. The processor's 56th percentile position among all CPUs places it in the middle of the pack, roughly equivalent to older high-end parts like the AMD EPYC 7251 and Intel Core i9-10885H, as shown by the nearest rival deltas.

The 60 W TDP means the CPU can be cooled by modest solutions, but the RTX 5090's 575 W TDP dominates the system's thermal and power profile. The processor supports PCIe Gen 5 with 16 lanes from the CPU, which provides ample bandwidth for the RTX 5090's PCIe 5.0 x16 interface. The integrated UHD Graphics 730 provides a fallback display output, though it is entirely overshadowed by the discrete GPU.

# Gaming Performance

No measured FPS data exists for this exact combination of CPU and GPU. The FACT PACK contains no measured FPS rows, so all frame rate discussions are estimates derived from the benchmark scores. The RTX 5090's 3DMark Steel Nomad DX12 score of 18355 and Passmark G3D score of 39650 indicate that the GPU is capable of extremely high frame rates in modern titles at ultra settings.

At 1080p resolution, the CPU is likely to be the primary constraint in many games. The Core i3-13100E's Cinebench R23 single-core score of 1653 suggests adequate but not exceptional per-core performance. Games that rely heavily on single-thread performance may see frame rates limited by the CPU, while the GPU idles below full utilization. Estimated frame rates in esports titles could reach several hundred FPS, but CPU-bound scenarios may cause dips.

At 1440p, the balance shifts somewhat toward the GPU, as the higher resolution increases GPU load. The RTX 5090's 1.79 TB/s memory bandwidth and 423.6 GPixel/s pixel rate provide ample fill rate for high-resolution rendering. Estimated frame rates in AAA titles at ultra settings would likely remain very high, but the CPU could still bottleneck in scenes with many physics objects or complex AI.

At 4K resolution, the GPU becomes the dominant factor. The RTX 5090's 32 GB of GDDR7 memory and 512-bit memory bus provide the capacity and bandwidth needed for 4K textures and effects. The CPU's limitation becomes less pronounced at this resolution, as the GPU takes longer to render each frame, giving the processor more time to prepare draw calls and game logic. Estimated 4K performance would be exceptional, with the GPU likely maintaining high frame rates in most titles.

The lack of measured FPS data means these are estimates based on benchmark scores and architectural analysis. The GPU's Passmark DirectX 12 score of 185, while not directly comparable to FPS, indicates strong DX12 performance. The Geekbench Vulkan score of 376728 further supports the GPU's capability in modern graphics APIs.

# 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. This flexibility allows builders to choose between cost-effective DDR4 or higher-performance DDR5 modules. The platform also supports PCIe Gen 5 with 16 lanes from the CPU, providing high-bandwidth connectivity for the RTX 5090's PCIe 5.0 x16 interface.

The system's power requirements are dominated by the GPU. The RTX 5090 has a 575 W TDP and requires a 950 W power supply, as indicated by the suggested PSU rating. The CPU's 60 W TDP is negligible by comparison. The GPU uses a single 16-pin power connector, which is typical for high-end graphics cards. The dual-slot cooler design requires adequate case clearance, with the card measuring 304 mm in length, 137 mm in height, and 40 mm in width.

A sensible next upgrade would be a higher-core-count processor on the same LGA 1700 socket. The platform supports Core 13th Gen processors, so users could move to a Core i5, i7, or i9 variant with more cores and threads, which would alleviate the CPU bottleneck in gaming and productivity workloads. The RTX 5090 would then have a more balanced partner, allowing the GPU's full potential to be realized.

Memory upgrades are also possible, with the platform supporting both DDR4 and DDR5. Users could increase memory capacity or switch between memory types, though this would require a compatible motherboard. The ECC memory support on the CPU makes it suitable for workstation applications that require error-correcting memory.

The PCIe Gen 5 support ensures that the RTX 5090's interface is fully utilized, as the GPU uses PCIe 5.0 x16. This provides ample bandwidth for data transfer between the CPU and GPU, reducing the risk of interface bottlenecks.

# FAQ

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

A: The combined percentile is 74, reflecting the system's overall position relative to other CPU-GPU pairings.

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

A: The Core i3-13100E's average benchmark score is 3668, with the nearest rival AMD EPYC 7251 scoring 3671 (delta -0.1%), AMD Ryzen 7 PRO 1700X scoring 3673 (delta -0.1%), Intel Xeon E5-2658A v3 scoring 3658 (delta 0.3%), and Intel Core i9-10885H scoring 3651 (delta 0.5%).

Q: What memory types does the CPU support?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, and it also supports ECC memory.

Q: What is the GPU's memory configuration?

A: The RTX 5090 has 32 GB of GDDR7 memory on a 512-bit bus, with a bandwidth of 1.79 TB/s.

Q: What power supply is recommended for this GPU?

A: The suggested PSU rating is 950 W, and the GPU has a TDP of 575 W with a single 16-pin power connector.

Q: Does this build support PCIe Gen 5?

A: Yes, the CPU provides 16 PCIe Gen 5 lanes, and the GPU uses a PCIe 5.0 x16 interface.

Q: Is there measured FPS data for this exact combination?

A: No, there is no measured FPS data available for this CPU-GPU pairing, so all frame rate discussions are estimates based on benchmark scores.

# Balance and Bottleneck

The data clearly shows the GPU significantly outperforms the CPU. The RTX 5090 sits at the 92nd percentile of all GPUs, while the Core i3-13100E sits at the 56th percentile of all CPUs. This 36-percentile-point gap creates a substantial bottleneck in CPU-bound workloads, particularly gaming at lower resolutions and productivity tasks that rely on processor performance.

In gaming, the bottleneck manifests at resolutions where the CPU cannot feed the GPU enough frames. The CPU's Cinebench R23 single-core score of 1653 indicates moderate per-core performance, which may limit frame rates in games with heavy single-threaded logic. The GPU's 3DMark Steel Nomad score of 18355 shows it can render frames much faster than the CPU can prepare them, leading to underutilization of the GPU in many scenarios.

In CPU-bound productivity tasks, the bottleneck reverses. The CPU's Geekbench multicore score of 7025 and Cinebench R23 multicore score of 11710 demonstrate that the 4-core processor handles moderate parallel workloads, but the GPU's massive compute resources (104.8 TFLOPS FP32) remain idle during tasks like compilation or spreadsheet analysis.

The FPS scaling between resolutions would show this bottleneck clearly. At 1080p, the CPU limits frame rates. As resolution increases to 1440p and 4K, the GPU becomes the limiting factor, and the system's frame rates would scale accordingly. The GPU's 423.6 GPixel/s pixel rate and 1,636.8 GTexel/s texture rate provide substantial headroom for higher resolutions.

The combined percentile of 74 reflects this imbalance — the system is better than most, but the CPU drags the overall position down from what the GPU alone would achieve. For balanced workloads, a processor with more cores and higher single-thread performance would be needed to match the GPU's capabilities.

# Build Overview

This is a desktop-class build pairing the Intel Core i3-13100E with the NVIDIA GeForce RTX 5090. The CPU is a 4-core, 8-thread Raptor Lake processor from the Core 13th Gen series, while the GPU is a 50-series Blackwell architecture card with 21760 shading units. The combined percentile of 74 places this system in the upper tier of all builds, though the CPU's 56th percentile and GPU's 92nd percentile create a notable performance asymmetry.

The RTX 5090 dominates the system profile. With 32 GB of GDDR7 memory, 170 ray tracing cores, and 680 tensor cores, it is a top-tier graphics solution. The CPU, by contrast, is a budget-oriented quad-core processor with a 60 W TDP. The launch MSRP for the CPU is $480, and the GPU's launch MSRP is 1,999 USD, though these figures are presented for reference only.

The build's overall tier is solidly mid-to-high end, driven almost entirely by the GPU. The CPU's modest specifications and benchmark scores place it in the middle of the processor hierarchy, but the GPU's exceptional performance boosts the system's overall capabilities. This pairing is best suited for workloads that heavily utilize the GPU, while CPU-bound tasks will not benefit from the RTX 5090's presence.

# Who Should Build It

Gamers at 4K resolution will benefit most from this pairing. The RTX 5090's 32 GB memory and high bandwidth handle 4K textures with ease, and the CPU's limitations are less pronounced at this resolution. Estimated frame rates in AAA titles would be exceptionally high, making this an excellent choice for enthusiasts with 4K high-refresh displays.

Content creators focused on GPU-accelerated rendering, video editing, and 3D work will find the RTX 5090's compute capabilities transformative. The GPU's 104.8 TFLOPS of FP32 and FP16 performance, along with 170 ray tracing cores, accelerate rendering and effects work dramatically. The CPU's lower performance may slow project management and timeline editing, but the GPU handles the heavy lifting.

Developers working with GPU compute, machine learning, or graphics programming can leverage the RTX 5090's 680 tensor cores and CUDA performance. The CPU's 4 cores are sufficient for code editing and compilation of smaller projects, while the GPU accelerates training and inference workloads.

Students and small business users who require occasional GPU acceleration but primarily perform office tasks will find this build vastly overprovisioned. However, the system would never struggle with productivity software, and the GPU provides headroom for future demanding applications.

Small business workstations handling video production, 3D visualization, or data processing could benefit from the GPU's capabilities, provided the CPU bottleneck is acceptable for their specific workflows. The ECC memory support on the CPU adds reliability for long-running compute tasks.

# GPU Analysis

The NVIDIA GeForce RTX 5090 is built on the Blackwell 2.0 architecture using TSMC's 5 nm process node. The GB202 chip contains 92,200 million transistors on a 750 mm² die, with a transistor density of 122.9 million per square millimeter. The GPU operates at a base clock of 2017 MHz and a boost clock of 2407 MHz, with memory clocked at 1750 MHz (28 Gbps effective).

Memory configuration is substantial: 32 GB of GDDR7 on a 512-bit bus, delivering 1.79 TB/s of bandwidth. This capacity and bandwidth support high-resolution textures, large datasets, and compute workloads. The GPU includes 21760 shading units, 680 texture mapping units, and 176 raster output units. Ray tracing is handled by 170 dedicated RT cores, while 680 tensor cores accelerate AI and compute tasks.

The GPU's pixel rate is 423.6 GPixel/s, and the texture rate is 1,636.8 GTexel/s. Floating-point performance is 104.8 TFLOPS for both FP32 and FP16 (1:1), indicating balanced compute capabilities. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, with display outputs of 1x HDMI 2.1b and 3x DisplayPort 2.1b.

Benchmark results show the GPU at the 92nd percentile of all GPUs. The 3DMark Steel Nomad DX12 score of 18355 demonstrates strong rasterization performance. Geekbench OpenCL and Vulkan scores of 334370 and 376728, respectively, indicate exceptional compute and graphics API performance. Passmark G3D score of 39650 and GPU Compute score of 26756 further validate the GPU's capabilities.

The nearest rivals illustrate the GPU's position: the NVIDIA Tesla P100 PCIe 16 GB (score 79605, delta 0.3%), Tesla P100 PCIe 12 GB (score 79396, delta 0.6%), AMD Radeon RX 6850M XT (score 78940, delta 1.1%), and AMD Radeon Pro Vega 64X (score 80959, delta -1.4%). The RTX 5090 edges out the Tesla P100 variants and RX 6850M XT but trails the Vega 64X. This positioning reflects the GPU's strong but not class-leading performance relative to these specific competitors.

For rendering workloads, the GPU's 170 RT cores and 680 tensor cores provide substantial acceleration for ray-traced and AI-enhanced rendering. The 1.79 TB/s memory bandwidth ensures that large scenes and textures can be streamed efficiently. The GPU's compute capabilities, as shown by the 104.8 TFLOPS FP32 rating, make it suitable for scientific computing, machine learning inference, and other GPU-accelerated tasks.