SYSTEM ANALYZER

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

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
72%
VS
GPU
98%

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

PROCESSOR

Intel Core i3-13100T

3,198 Benchmark Score
Top 28% 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

The Intel Core i3-13100T paired with the NVIDIA GeForce RTX 5090 D is an extreme asymmetry in computing hardware. The CPU is a low-power, 4-core desktop processor designed for efficiency, while the GPU is a flagship 32 GB graphics card built for maximum throughput. The benchmark data shows a combined percentile of 73, indicating that the system as a whole outperforms nearly three-quarters of all recorded configurations, yet the individual components sit at very different performance tiers. The CPU’s 53rd percentile places it squarely in the middle of all processors, while the GPU’s 92nd percentile marks it as a top-tier performer. This analysis examines the measured scores, the balance of the pairing, and what users can realistically expect from such a build.

FAQ

Q: What is the combined performance percentile of this CPU and GPU pairing?

A: The combined percentile for the Intel Core i3-13100T and NVIDIA GeForce RTX 5090 D system is 73, meaning it performs better than 73% of all recorded desktop configurations in the database.

Q: How does the CPU’s multi-core performance compare to its nearest rivals?

A: The Core i3-13100T scores 10,840 in Cinebench R23 multi-core. This places it within 0.6% of the Intel Atom P5342 (which scores 3,217 average), and it is functionally tied with the Intel Core i7-9700E (average score 3,197) and the Intel Core i5-1240P (average score 3,202), with deltas of 0% and -0.1% respectively.

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

A: The RTX 5090 D features 32 GB of GDDR7 memory on a 512-bit bus, providing a bandwidth of 1.79 TB/s. This is a massive amount of memory and bandwidth, suited for high-resolution textures and large datasets.

Q: Does the CPU support overclocking?

A: No, the multiplier is locked, meaning the Core i3-13100T does not support overclocking. Its boost clock is 4.20 GHz, which is the maximum frequency it can reach under load.

Q: What is the TDP of the CPU and the GPU?

A: The CPU has a TDP of 35 watts, while the GPU has a TDP of 575 watts. The system’s suggested power supply is 950 watts.

Q: Are there measured FPS figures for this specific CPU+GPU combination?

A: No, the data pack contains no measured FPS rows for this exact combination. All FPS discussions are framed as estimates derived from the individual benchmark scores.

Q: What is the GPU’s architecture and process node?

A: The RTX 5090 D is built on the Blackwell 2.0 architecture, using a 5 nm process from TSMC. It contains 92,200 million transistors on a 750 mm² die.

GPU Analysis

The NVIDIA GeForce RTX 5090 D is a data-center-class graphics card that has been placed in a desktop context. Its memory subsystem is exceptional: 32 GB of GDDR7 on a 512-bit bus yields 1.79 TB/s of bandwidth. This is not merely a high number; it allows the GPU to feed its 21,760 shading units, 680 texture mapping units, and 176 raster output units without starvation. The raw compute throughput is equally staggering, with FP32 performance rated at 104.8 TFLOPS. The card’s pixel rate is 423.6 GPixel/s, and its texture rate is 1,636.8 GTexel/s.

For ray tracing and AI-accelerated workloads, the 170 RT cores and 680 tensor cores provide dedicated hardware. The benchmark scores reflect this specialization. In 3DMark Steel Nomad DX12, the GPU scores 14,326, and in Geekbench OpenCL it reaches 310,674. The Passmark G3D score of 44,065 places it in the 92nd percentile of all GPUs. However, the nearest rivals in the database are not other flagship desktop cards but rather mobile and data-center parts: the AMD Radeon RX 6650M XT (average score 76,904, delta 1.1%) and the NVIDIA Tesla P100 PCIe 12 GB (average score 79,396, delta -2.1%). This suggests that the database’s comparison set is skewed, but the 1.1% lead over the RX 6650M XT is small, while the 2.4% deficit against the Tesla P100 16 GB indicates the 5090 D is not universally dominant in every synthetic test.

In rendering workloads, the sheer bandwidth and compute power mean that tasks like 4K video editing, 3D scene rendering, and AI inference will see massive throughput. The 32 GB VRAM is particularly relevant for large language models or complex 3D scenes that exceed the memory capacity of lesser cards. The 104.8 TFLOPS FP16 performance, matching FP32 at a 1:1 ratio, further indicates that mixed-precision workloads will run at full speed. The GPU’s 575 W TDP requires robust cooling, but the dual-slot design and 1x 16-pin power connector are standard for this class.

Benchmark Performance

The CPU’s individual benchmark results paint a picture of a competent but modest processor. In Cinebench R23, it scores 1,530 in single-core and 10,840 in multi-core. The Geekbench scores are 1,780 single-core and 4,993 multi-core. Its average benchmark score is 3,198, which places it at the 53rd percentile. The nearest rivals are tightly clustered: the Intel Core i7-9700E (average 3,197, 0% delta), the Intel Core i5-1240P (average 3,202, -0.1% delta), and the Intel Xeon E-2136 (average 3,193, 0.2% delta). The Core i3-13100T is effectively a peer of these older or mobile parts, not a clear winner or loser.

The GPU’s benchmark scores are several orders of magnitude higher. Its average benchmark score is 77,712, with a 92nd percentile ranking. The 3DMark Steel Nomad score of 14,326 and the Geekbench Vulkan score of 376,915 are the standout numbers. In Passmark, the G3D score is 44,065, and the GPU compute score is 28,396. The nearest rivals show a tight band: the RX 6650M XT is 1.1% ahead, the RX 6850M XT is 1.6% behind, and the Tesla P100 16 GB is 2.4% behind. This indicates that the 5090 D is not the absolute top performer in every database test, but it is consistently in the upper echelon.

The combined picture is one of severe imbalance. The CPU’s 53rd percentile is the system’s bottleneck in many tasks, while the GPU’s 92nd percentile is the star. The combined 73rd percentile is a weighted average that reflects the CPU holding back the GPU in CPU-bound scenarios, but in GPU-bound tasks, the system will perform like a top-tier machine. For a user running a video game at 4K, the GPU will dominate the workload, and the CPU’s slower multi-core performance will have less impact. For a user compiling code or rendering a CPU-based physics simulation, the GPU will sit idle while the CPU struggles to keep up.

Balance and Bottleneck

The data indicates that the Core i3-13100T will bottleneck the RTX 5090 D in most workloads that require significant CPU processing. The CPU’s 4 cores and 8 threads are a fundamental limitation; its multi-core Cinebench R23 score of 10,840 is roughly one-fifth of what a high-end desktop CPU would achieve, though the exact comparison is not in the data. The GPU’s 104.8 TFLOPS FP32 performance is so high that the CPU cannot generate draw calls or physics data fast enough to keep it busy in many gaming scenarios.

Evidence from the percentiles supports this: the CPU is at the 53rd percentile, while the GPU is at the 92nd. This 39-percentile point gap means the CPU is much closer to the average than the GPU is to the top. In a balanced system, these figures would be closer. The FPS scaling, though no measured data exists, would follow this pattern: at lower resolutions like 1080p, the CPU would limit frame rates because the GPU can render frames faster than the CPU can issue commands. At 4K, the GPU’s rendering time per frame increases, giving the CPU more time to keep up, so the bottleneck shifts toward the GPU.

The TDP figures also highlight the imbalance: 35 watts for the CPU versus 575 watts for the GPU. The CPU is designed for low-power, high-efficiency tasks, while the GPU is designed for maximum performance at any power cost. This pairing is not a balance of equals; it is a powerful GPU hamstrung by a modest CPU in CPU-bound tasks, and a CPU that is merely adequate in GPU-bound tasks. For a user who only plays GPU-intensive games at 4K with max settings, the bottleneck will be minimal. For a user who plays esports titles at 1080p with high frame rates, the CPU will be the limiting factor.

CPU Analysis

The Intel Core i3-13100T is a Raptor Lake-S architecture processor, built on Intel’s 10 nm process. It has 4 physical cores and 8 threads, with a base clock of 2.50 GHz and a boost clock of 4.20 GHz. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 12 MB L3 cache. It supports DDR4 and DDR5 memory in dual-channel mode, and the CPU provides 20 PCIe Gen 5 lanes. The integrated UHD Graphics 730 is present, though it will be irrelevant in a system with a discrete GPU.

The benchmark scores show a processor that is competitive in single-threaded tasks but weak in multi-threaded workloads. The Cinebench R23 single-core score of 1,530 is strong, indicating that the 4.20 GHz boost clock is effective for tasks that rely on a single thread. The multi-core score of 10,840, however, is only about 7 times the single-core score, which is less than the 8-thread scaling that would be ideal. This is typical for a 4-core part with hyper-threading; the additional threads provide diminishing returns due to shared execution resources.

The Geekbench single-core score of 1,780 and multi-core score of 4,993 reinforce the same story. The CPU’s 53rd percentile ranking means it is average among all CPUs in the database. Its nearest rivals include the Intel Core i7-9700E, which is an older 8-core part, and the Intel Core i5-1240P, which is a mobile processor. The fact that a 4-core desktop part is comparable to these shows that the 13100T’s high clock speeds and modern architecture give it good per-core performance, but its core count limits its overall throughput.

For real workloads, this means the CPU is excellent for office productivity, web browsing, and light coding. It will struggle with video encoding, 3D rendering, or any task that scales across many cores. The 35 W TDP is a major advantage for small form factor builds or systems where power efficiency is paramount. The locked multiplier means no overclocking, but the boost clock is already high.

Usage Scenarios

High-refresh gaming: The RTX 5090 D is overkill for 1080p high-refresh gaming, and the CPU will bottleneck it. The GPU’s 104.8 TFLOPS can easily exceed 200 FPS in many titles, but the CPU’s single-core performance, while good, will limit the frame rate to whatever the 4.20 GHz boost clock can sustain for game logic. This scenario will be CPU-limited, and the 53rd percentile CPU will prevent the 92nd percentile GPU from reaching its full potential.

Streaming: The GPU’s tensor cores and NVENC (implied by the architecture) can handle video encoding, offloading that work from the CPU. The CPU’s 8 threads are sufficient for game logic plus a light streaming overhead, but the low core count means that running a game, a stream encoder, and a chat client simultaneously will push the CPU to its limits. The 10,840 multi-core Cinebench score suggests moderate headroom for background tasks.

Video editing: The GPU’s 32 GB VRAM and 1.79 TB/s bandwidth excel at timeline scrubbing, effects, and rendering. The CPU will be a bottleneck for codec encoding and any CPU-based effects. The Geekbench multi-core score of 4,993 is low for this workload, meaning export times will be longer than a higher-core-count CPU would provide.

3D rendering: GPU-based renderers (like those using CUDA, implied by the architecture) will see outstanding performance due to the 104.8 TFLOPS. The 32 GB VRAM allows for large scenes. CPU-based rendering will be slow; the 10,840 multi-core score is a fraction of what a 16-core part would achieve, so expect long render times for CPU-only passes.

Software development: Compilation is heavily multi-threaded, and the 4-core/8-thread CPU will be a bottleneck. The Geekbench multi-core score of 4,993 indicates that large codebases will take considerable time to build. However, the fast single-core speed (1,780 Geekbench) makes interactive development and IDE responsiveness snappy.

Student and office work: The CPU is more than adequate for word processing, spreadsheets, and web research. The 35 W TDP means low power consumption and quiet operation. The integrated GPU would handle basic display tasks, but the discrete RTX 5090 D is massive overkill for this scenario, adding unnecessary cost and power draw.

Who Should Build It

This system is not for a typical user. The target audience is a professional or enthusiast who has a specific, GPU-accelerated workload that demands the RTX 5090 D’s 32 GB VRAM and 104.8 TFLOPS, and who does not need a high-core-count CPU. This includes AI researchers running large models, 3D artists using GPU-based renderers, or video editors working with 8K footage. Gamers at 4K resolution with max settings will benefit from the GPU’s 92nd percentile ranking, as the CPU bottleneck is less pronounced at higher resolutions.

For content creators, the 32 GB VRAM is the key selling point; it allows for massive texture sets and complex scenes without hitting memory limits. The GPU’s 92nd percentile benchmark scores indicate it will handle any GPU-accelerated task with ease. Developers working on CUDA-accelerated applications will appreciate the raw compute power, though they will need to be aware of the CPU’s limitations when compiling or running CPU-based tests.

Small business workstations that use GPU-accelerated software, such as CAD or data analysis tools, could benefit, but the 35 W CPU is underpowered for general office multitasking. The system is not suited for students on a budget or for typical office work, as the GPU is far more powerful than needed for those tasks. It is a specialized tool for specialized jobs.

Build Overview

This is a desktop build that pairs a low-power, mainstream CPU with a flagship, high-power GPU. The Intel Core i3-13100T is a 4-core/8-thread Raptor Lake part with a 35 W TDP, designed for efficiency. The NVIDIA GeForce RTX 5090 D is a Blackwell 2.0 architecture GPU with a 575 W TDP, designed for maximum performance. The system’s combined percentile is 73, but this is misleading: the CPU is at the 53rd percentile, while the GPU is at the 92nd percentile.

The overall tier is that of a GPU-dominated workstation. The CPU is a bottleneck in many workloads, but the GPU is a top-tier performer. The 32 GB of GDDR7 memory and 1.79 TB/s bandwidth make this system exceptional for memory-intensive tasks. The 104.8 TFLOPS of FP32 compute places it among the fastest GPUs in the database. However, the CPU’s modest multi-core performance means it is not a balanced system; it is a powerful GPU with a weak supporting CPU.

Gaming Performance

The FACT PACK contains no measured FPS rows for this exact CPU+GPU combination, and the `dataIsMeasured` field is false. Therefore, all frame rate figures below are estimates derived from the CPU’s and GPU’s benchmark scores and should be treated as approximations, not measured results.

Based on the GPU’s 92nd percentile and the CPU’s 53rd percentile, the system will deliver high frame rates in most games, but the CPU will be the limiting factor in CPU-bound scenarios. At 1080p, the RTX 5090 D can render frames at a rate far exceeding what the Core i3-13100T can feed it. For esports titles like Counter-Strike or Valorant, the CPU’s 4.20 GHz boost clock will likely cap frame rates at around 200-300 FPS, though the exact figure is an estimate. The GPU will be underutilized.

At 1440p, the CPU bottleneck is less severe, and the system will provide high refresh rates in most titles. At 4K, the GPU becomes the primary bottleneck, and the system will deliver excellent frame rates, often above 60 FPS in demanding titles, though the CPU’s lower multi-core performance may cause stutters in games that use more than 8 threads. The 32 GB VRAM ensures that texture quality can be maxed out at any resolution without memory capacity issues. The 1.79 TB/s bandwidth and 104.8 TFLOPS compute mean that the GPU will not be the bottleneck in any gaming scenario; the CPU will be, especially at lower resolutions.

Upgrade Path and Platform

The platform is based on the Intel Socket 1700, which supports the Core 13th Gen series. The CPU supports both DDR4 and DDR5 memory in dual-channel mode, giving builders flexibility in choosing memory. The CPU provides 20 PCIe Gen 5 lanes, and the GPU uses a PCIe 5.0 x16 interface, ensuring full bandwidth. The suggested PSU is 950 watts, which is adequate for the 575 W GPU and 35 W CPU, leaving headroom for drives and other peripherals.

A sensible next upgrade would be to replace the Core i3-13100T with a higher-core-count Raptor Lake CPU that fits the same Socket 1700, such as a Core i5 or Core i7 model. This would alleviate the CPU bottleneck without requiring a new motherboard or memory. The GPU is already at the top of its class, so upgrading it would not be necessary. The 950 W PSU has enough headroom for a more power-hungry CPU. The 32 GB of VRAM is ample for future games and applications, so the GPU should remain relevant for several years. The main limitation is the CPU, and that is the component to upgrade first.