SYSTEM ANALYZER

Rate My PC: Intel Core i3-13100E + NVIDIA RTX 4000 Ada Generation

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
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 4000 Ada Generation

135,218 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 and NVIDIA RTX 4000 Ada Generation form a desktop pairing that sits at a notable intersection of CPU value and workstation-class GPU capability. The processor, built on Raptor Lake architecture with a 10 nm process, offers a modest core count but strong single-threaded performance, while the graphics card, based on Ada Lovelace with a 5 nm process, delivers professional-grade compute power. The data for this combination includes no measured FPS rows, so all gaming performance figures presented here are estimates derived from the benchmark scores, not direct measurements.

CPU Analysis

The Intel Core i3-13100E is a 4-core, 8-thread processor from the Core 13th Gen series, with a base clock of 3.30 GHz and a boost clock of 4.40 GHz. It uses the Raptor Lake-S architecture, manufactured on Intel's 10 nm process with a die size of 163 mm². The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache. This configuration reflects a focus on latency-sensitive workloads rather than raw throughput, with the 4-core layout limiting parallel processing capability but the 4.40 GHz boost clock ensuring responsive single-thread execution.

Benchmark results place this CPU at the 56th percentile among all CPUs, with an average benchmark score of 3668. In Cinebench R23, it scores 11710 in multi-core and 1653 in single-core. The multi-core score is respectable for a 4-core part, indicating that the 8 threads are well-utilized, but the real highlight is the single-core score, which shows strong per-thread performance. In Geekbench, it achieves 7025 multi-core and 2001 single-core, further confirming that the architecture excels at tasks requiring high clock speeds and efficient instruction handling.

The nearest rivals provide context for this positioning. The AMD EPYC 7251 scores 3671 average, a 0.1% delta, meaning the i3-13100E is statistically tied with an enterprise server chip from an older generation. The AMD Ryzen 7 PRO 1700X shows a 0.1% delta, and the Intel Xeon E5-2658A v3 is 0.3% ahead, while the Intel Core i9-10885H is 0.5% ahead. These comparisons show that the i3-13100E, despite its low core count, competes with much larger processors in average benchmark terms, thanks to its high clock speeds and modern architecture. For real workloads, this translates to snappy application launches and responsive single-threaded tasks like web browsing, office productivity, and light code compilation, while heavily multi-threaded workloads like video encoding or 3D rendering will show limitations due to the 4-core constraint.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU based on the AD104 chip with Ada Lovelace architecture, manufactured on a 5 nm process at TSMC with 35,800 million transistors on a 294 mm² die. It features 20 GB of GDDR6 memory on a 160-bit bus, providing 360.0 GB/s of bandwidth. The memory clock is 2250 MHz, with an effective data rate of 18 Gbps. The GPU core runs at a base clock of 1500 MHz and a boost clock of 2175 MHz.

Compute resources include 6144 shading units, 192 texture mapping units, and 64 render output units. For ray tracing and AI acceleration, it has 48 RT cores and 192 tensor cores. The pixel rate is 139.2 GPixel/s, and the texture rate is 417.6 GTexel/s. FP32 performance is rated at 26.73 TFLOPS, with FP16 also at 26.73 TFLOPS at a 1:1 ratio, indicating no half-rate penalty. This GPU is designed for professional workloads, with a 130 W TDP, single-slot form factor, and a 16-pin power connector, with a suggested PSU of 300 W. It supports PCIe 4.0 x16 and outputs via 4x DisplayPort 1.4a.

Benchmark performance places the RTX 4000 Ada at the 95th percentile among all GPUs, with an average benchmark score of 135218. In Geekbench OpenCL, it scores 146593, and in Vulkan, it scores 123842. These scores reflect strong compute capability, especially in OpenCL which is common in rendering and scientific workloads. The nearest rivals show a tight grouping: the NVIDIA A10M scores 135230 (0% delta), the AMD Radeon PRO W6800 scores 135396 (-0.1%), and the AMD Radeon Pro W6800X Duo scores 135774 (-0.4%). This indicates the RTX 4000 Ada is essentially neck-and-neck with previous-generation pro GPUs in raw compute benchmarks, but it brings the benefits of Ada Lovelace architecture, including improved RT and tensor performance, which may not be fully captured in these synthetic tests.

For rendering, the 20 GB VRAM is substantial, allowing large scenes and high-resolution textures to fit in memory without swapping. The 360.0 GB/s bandwidth, while not the highest on the market, is sufficient for 20 GB of data. The 48 RT cores enable hardware-accelerated ray tracing, and the 192 tensor cores support DLSS and AI-driven features. The 26.73 TFLOPS FP32 performance places it in a range suitable for real-time 3D visualization and moderate offline rendering. The single-slot design and 130 W TDP make it feasible for multi-GPU workstations, and the 4x DisplayPort 1.4a outputs support multi-monitor setups at high resolutions.

Benchmark Performance

The combined picture shows a CPU at the 56th percentile and a GPU at the 95th percentile, with a combined percentile of 76. This indicates a system where the GPU is a much stronger component relative to its peer group than the CPU. The CPU's average benchmark score of 3668, with rivals within ±0.5%, places it in the mid-range of desktop processors. The GPU's average score of 135218, with rivals within ±0.9%, places it near the top of the GPU hierarchy.

In Cinebench R23, the CPU's multi-core score of 11710 and single-core score of 1653 suggest that the CPU can handle single-threaded tasks with ease, but multi-threaded tasks will be limited by the 4 cores. The Geekbench scores of 7025 multi-core and 2001 single-core reinforce this. The GPU's Geekbench OpenCL score of 146593 is roughly 40 times higher than the CPU's Geekbench multi-core score, highlighting the massive disparity in compute throughput between the two components.

The combined percentile of 76 suggests that this pairing outperforms three-quarters of all tested configurations, but the imbalance is clear. The GPU is in the top 5% of all GPUs, while the CPU is in the top 56% of all CPUs. This means that in GPU-bound workloads like 3D rendering, video encoding, or AI inference, the system will perform exceptionally well, but in CPU-bound workloads like physics simulations or complex game logic, the CPU may hold back overall performance. The data does not include measured FPS for any game, so all gaming performance is estimated from these benchmark scores.

Balance and Bottleneck

The balance between the i3-13100E and RTX 4000 Ada is heavily skewed toward the GPU. The CPU's 56th percentile and the GPU's 95th percentile create a situation where the GPU is the dominant component in most workloads. In GPU-intensive tasks, such as rendering a 3D scene in Blender or training a small neural network, the GPU's 26.73 TFLOPS FP32 and 48 RT cores will be the limiting factor only when the workload fully saturates the GPU, which is common. The CPU's role is to feed the GPU with data, and with only 4 cores, it may struggle to keep up in scenarios that require heavy scene management or physics calculations alongside rendering.

In CPU-bound workloads, the bottleneck is more apparent. The CPU's 11710 multi-core score in Cinebench R23 is modest compared to higher-core-count processors, so tasks like video transcoding using CPU-based encoders, software compilation, or spreadsheet calculations with large datasets will see performance limited by the CPU. The GPU's 95th percentile does not help in these cases, as the workload does not utilize the GPU.

The FPS scaling in games, if measured, would show this imbalance. At lower resolutions like 1080p, the CPU's single-thread performance would be more important, and the 1653 Cinebench R23 single-core score suggests decent performance, but the 4-core limit could cause frame drops in CPU-heavy scenes. At higher resolutions like 4K, the GPU becomes the bottleneck, and the RTX 4000 Ada's 95th percentile ranking would allow high frame rates in most titles, provided the CPU can maintain a minimum frame rate. Without measured FPS data, these are estimates, but the benchmark scores indicate that the GPU will be the limiting factor at high resolutions, while the CPU may limit performance at low resolutions or in games with complex AI.

Gaming Performance

There are no measured FPS rows for this exact CPU+GPU combination, so all gaming performance figures are estimates based on the benchmark scores. The RTX 4000 Ada's 95th percentile ranking and 26.73 TFLOPS FP32 performance suggest strong 4K gaming capability, with the 20 GB VRAM handling high-resolution textures and ray tracing workloads. The 48 RT cores enable hardware-accelerated ray tracing, and the 192 tensor cores support DLSS, which can boost frame rates in supported titles.

At 1080p, the CPU's single-core score of 1653 in Cinebench R23 is adequate for most games, but the 4-core/8-thread configuration may cause bottlenecks in titles that utilize more than 4 threads, leading to frame time spikes. The expected FPS would be high, likely above 60 fps in most titles, but the CPU may limit maximum frame rates in esports titles where high refresh rates are desired. At 1440p, the GPU becomes more relevant, and the RTX 4000 Ada should deliver smooth performance, with the CPU still providing enough single-thread performance for most games. At 4K, the GPU is the clear bottleneck, and the 95th percentile ranking indicates it can handle demanding titles at high settings, though the CPU's 4 cores may still cause occasional stutters in CPU-heavy scenes.

The lack of measured data means these are estimates, but the GPU's high percentile and compute power suggest a system that can play modern games at high settings, especially with DLSS enabled. The CPU's performance is adequate for gaming but not exceptional, and users seeking maximum frame rates in CPU-bound games should consider a higher-core-count CPU.

Usage Scenarios

High-refresh gaming: The RTX 4000 Ada's 95th percentile ranking and high FP32 throughput support high frame rates at 1440p and 4K, but the i3-13100E's 4-core limit may prevent achieving 144+ fps in CPU-bound titles at 1080p. The GPU's 20 GB VRAM ensures future-proofing for high-resolution textures.

Streaming: The CPU's 8 threads can handle encoding at moderate bitrates, but the GPU's NVENC (implied by Ada Lovelace architecture) would be more efficient, offloading the encoding task from the CPU. The 192 tensor cores could also assist with AI-driven streaming features.

Video editing: The GPU's 20 GB VRAM and 360.0 GB/s bandwidth accelerate timeline scrubbing and effects rendering, while the CPU's 11710 multi-core score in Cinebench R23 is sufficient for basic editing but may slow down complex exports. The 4-core limit shows in multi-track timelines.

3D rendering: This is the strongest scenario. The GPU's 26.73 TFLOPS FP32 and 48 RT cores provide fast rendering in GPU-accelerated engines, and the 20 GB VRAM handles large scenes. The CPU's role is secondary, making this pairing ideal for GPU-based renderers.

Software development: The CPU's 2001 Geekbench single-core score supports fast compilation for small to medium projects, but the 4-core limit will slow down parallel builds. The GPU is underutilized unless doing CUDA-based development, where the 6144 shading units are valuable.

Student and office work: The CPU's single-core performance and the GPU's low 130 W TDP make this a capable system for everyday tasks, though the GPU is overkill for word processing or web browsing. The 4-core CPU is adequate for multitasking, and the 20 GB VRAM is irrelevant for these workloads.

Upgrade Path and Platform

The Intel Core i3-13100E uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in dual-channel configuration, with ECC memory supported. The CPU provides PCIe Gen 5 with 16 lanes, while the GPU uses PCIe 4.0 x16, meaning the GPU will run at its full bandwidth. The CPU's TDP is 60 W, and the GPU's TDP is 130 W, with a suggested PSU of 300 W, leaving headroom for upgrades.

The platform supports a range of Core 13th Gen processors, so a sensible next upgrade would be a higher-core-count CPU on the same socket, such as a Core i5 or i7 with more cores and threads, which would alleviate the CPU bottleneck in multi-threaded workloads. The memory support for both DDR4 and DDR5 means users can choose based on their motherboard, and the ECC support is a plus for workstation reliability. The PCIe Gen 5 lanes from the CPU are not fully utilized by the GPU, but they provide future-proofing for faster storage or other PCIe Gen 5 devices. The 300 W suggested PSU is sufficient for this pairing, and upgrading to a more power-hungry GPU would require a larger PSU, but the current setup leaves room for minor upgrades.

FAQ

Q: What is the core and thread count of the Intel Core i3-13100E?

A: The Intel Core i3-13100E has 4 cores and 8 threads.

Q: How much VRAM does the NVIDIA RTX 4000 Ada Generation have?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus.

Q: What is the CPU's Cinebench R23 multi-core score?

A: The CPU scores 11710 in Cinebench R23 multi-core.

Q: What is the GPU's percentile ranking among all GPUs?

A: The RTX 4000 Ada Generation ranks at the 95th percentile.

Q: Does this system support ECC memory?

A: Yes, the CPU supports ECC memory.

Q: What is the GPU's FP32 performance in TFLOPS?

A: The GPU achieves 26.73 TFLOPS FP32.

Q: Is the CPU or GPU more powerful relative to their peers?

A: The GPU is much more powerful, at the 95th percentile, while the CPU is at the 56th percentile.

Who Should Build It

This pairing targets users who prioritize GPU compute over CPU throughput. Gamers at 1440p and 4K resolutions will benefit from the RTX 4000 Ada's high frame rates and 20 GB VRAM, though they should accept that the CPU may limit performance at 1080p. Content creators working with video editing or 3D rendering will find the GPU's 26.73 TFLOPS and 48 RT cores ideal for GPU-accelerated workflows, with the CPU being sufficient for asset management and light multi-threading. Developers using CUDA or AI frameworks will leverage the 192 tensor cores and 6144 shading units. Students and small business workstations that need a reliable desktop for office tasks will find the system over-specified but capable, with the low 130 W GPU TDP keeping power consumption manageable.

Build Overview

The Intel Core i3-13100E and NVIDIA RTX 4000 Ada Generation form a desktop build that combines a mid-range CPU with a high-end workstation GPU. The build class is desktop, and the combined percentile of 76 indicates it outperforms three-quarters of tested configurations. The CPU's 56th percentile and GPU's 95th percentile create an unbalanced system where the GPU dominates, making it suitable for GPU-intensive tasks like rendering and AI, while the CPU's 4 cores limit multi-threaded performance. The overall tier is upper-mid-range, driven primarily by the GPU's exceptional compute capabilities, with the CPU serving as a budget-conscious companion that provides adequate single-thread performance.