SYSTEM ANALYZER

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

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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85 Score

Top 15% Ranking

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%

GPU

99%

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

PROCESSOR

Intel Core i3-13100TE

3,111 Benchmark Score

Top 28% 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 i3-13100TE paired with the NVIDIA RTX 4000 Ada Generation creates a desktop build with a striking performance asymmetry. The GPU ranks in the 95th percentile among all GPUs, while the CPU sits in the 52nd percentile among all CPUs. This is a system where the graphics card is the undisputed performance driver, capable of handling professional rendering and compute tasks, while the processor is a modest, efficient workhorse. The data suggests a workstation oriented toward GPU-accelerated workflows, where the CPU handles system-level tasks and the GPU does the heavy lifting.

Balance and Bottleneck

The fundamental question for this pairing is whether the Intel Core i3-13100TE can keep pace with the RTX 4000 Ada Generation. The benchmark data reveals a significant imbalance. The CPU’s average benchmark score is 3111, placing it just 0.3% below the AMD Ryzen 5 6600HS and 0.5% above the AMD Ryzen 5 5625U. In contrast, the GPU’s average benchmark score is 135218, which is essentially identical to the NVIDIA A10M (0% delta) and 0.1% ahead of the AMD Radeon PRO W6800. This indicates the GPU is a far more capable compute resource relative to its peers.

In practical terms, the CPU is likely the limiting factor in any workload that is not heavily GPU-accelerated. The i3-13100TE’s 4 cores and 8 threads, with a base clock of 2.40 GHz and boost clock of 4.10 GHz, provide a baseline level of performance. Its Cinebench R23 multi-core score of 10054 and single-core score of 1419 suggest it can handle standard productivity tasks. However, when paired with a GPU that ranks in the 95th percentile, the CPU becomes the bottleneck in scenarios involving high frame rate gaming or complex physics simulations. The data shows a clear division of labor: the GPU is for rendering and parallel compute, the CPU for orchestration and single-threaded responsiveness.

The FPS scaling evidence is absent, as no measured FPS data exists for this exact combination. This means the bottleneck analysis must rely on the raw compute scores. The GPU’s Geekbench OpenCL score of 146593 vastly outpaces the CPU’s Geekbench multi-core score of 5703, indicating that any workload which can be offloaded to the GPU will see a massive speedup. For tasks that are strictly CPU-bound, like compiling code or running legacy single-threaded applications, the i3-13100TE will be the limiting factor, but its single-core performance remains respectable for a low-power chip.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the Raptor Lake architecture. The i3-13100TE is a 10 nm processor from Intel, and its memory support includes both DDR4 and DDR5 in a dual-channel configuration, along with ECC memory support. This flexibility allows builders to choose between cost-effective DDR4 or higher-performance DDR5, depending on their specific needs. The CPU provides PCIe Gen 5 with 16 lanes, ensuring that future high-bandwidth devices, such as the fastest NVMe SSDs or next-generation expansion cards, have the necessary connectivity.

The GPU, on the other hand, uses a PCIe 4.0 x16 interface. This is a mature standard that offers ample bandwidth for the RTX 4000 Ada Generation’s 20 GB of GDDR6 memory. The power requirements are distinct: the CPU has a TDP of 35 W, while the GPU has a TDP of 130 W. The suggested PSU for the GPU is 300 W, which is modest for a professional graphics card, leaving headroom in the power budget for additional components. A sensible next upgrade for this system would be a more powerful CPU on the same LGA 1700 socket, as the platform supports newer Raptor Lake variants. However, the data suggests that the current CPU is well-matched for the GPU’s intended workloads, making a CPU upgrade less critical than adding more system memory or faster storage.

The platform’s ECC memory support is a significant feature for professional workstations, as it ensures data integrity in long-running compute tasks. The combination of DDR4/DDR5 support and ECC functionality positions this build as a stable base for scientific computing or financial modeling. The PCIe Gen 5 lanes from the CPU, while not used by the GPU, are future-proofing for storage or other accelerators. The overall platform is coherent, with the main upgrade path being a CPU swap to a higher-core-count model, which would shift the balance toward more balanced CPU and GPU performance.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a professional workstation GPU built on the Ada Lovelace architecture. It uses the AD104 chip, manufactured on a 5 nm process by TSMC, with a die size of 294 mm² and a massive 35,800 million transistors. This transistor density of 121.8 million per mm² reflects the advanced manufacturing node. The GPU is equipped with 6144 shading units, 192 texture mapping units, and 64 raster operation processors, providing substantial raw compute throughput.

Memory is a standout feature: 20 GB of GDDR6 on a 160-bit bus, delivering a bandwidth of 360.0 GB/s. This is ample for large datasets in scientific visualization or high-resolution 3D rendering. The memory clock runs at 2250 MHz, with an effective data rate of 18 Gbps. The GPU’s compute capabilities are reinforced by 48 RT cores and 192 tensor cores, which accelerate ray tracing and AI-driven tasks, respectively. The FP32 performance is rated at 26.73 TFLOPS, with FP16 also at 26.73 TFLOPS (1:1), indicating a strong focus on single-precision compute.

Benchmark results confirm the GPU’s high standing: its Geekbench OpenCL score is 146593, and its Vulkan score is 123842. These scores place it in the 95th percentile of all GPUs, with its average score of 135218 virtually matching the NVIDIA A10M. The 0.1% advantage over the AMD Radeon PRO W6800 shows it is at the top of its class. For rendering, the 48 RT cores provide hardware-accelerated ray tracing, which is critical for photorealistic visualizations. The tensor cores enable DLSS and other AI-based features, which can dramatically improve performance in supported applications. The 4x DisplayPort 1.4a outputs support multiple high-resolution displays, making it suitable for multi-monitor professional setups.

Usage Scenarios

High-refresh gaming: This pairing is not ideal for high-refresh gaming at 1080p or 1440p. The CPU’s single-core score of 1419 in Cinebench R23 is moderate, and its 4 core count may limit frame rates in CPU-bound titles. However, the GPU’s massive compute power can generate very high frame rates in GPU-bound scenarios, but the CPU will likely hold back the system from reaching the highest refresh rates.

Streaming: The GPU’s tensor cores and dedicated encoders (implied by the Ada Lovelace architecture) make it excellent for streaming. The GPU can handle encoding and decoding workloads, offloading this task from the CPU. The 4-core CPU has enough headroom for streaming software and game logic, but the overall system will rely on the GPU to maintain smooth broadcasts.

Video editing: This is a strong scenario. The GPU’s 20 GB VRAM and 360.0 GB/s bandwidth can handle 4K and even 8K video timelines with ease. The FP32 performance of 26.73 TFLOPS accelerates effects and color grading. The CPU’s modest multi-core score of 10054 in Cinebench R23 is sufficient for timeline previews, but final exports will be heavily accelerated by the GPU.

3D rendering: This is the primary use case. The GPU’s 48 RT cores and 192 tensor cores make it a powerhouse for ray-traced rendering in applications like Blender or Autodesk Maya. The 95th percentile GPU ranking means it outperforms the vast majority of other GPUs in this task. The CPU’s role is limited to scene management and data preparation, which the i3-13100TE can handle, though not as quickly as higher-core-count processors.

Software development: The CPU’s 4 cores and 8 threads, with a boost clock of 4.10 GHz, are adequate for compiling code and running development environments. Its single-core performance is respectable, but multi-threaded compilation will be slower than on a 6- or 8-core chip. The GPU is underutilized in this scenario, except for tasks like shader compilation or parallel testing.

Student and office work: This build is overkill for standard office tasks. The CPU’s 35 W TDP makes it energy-efficient, and the integrated UHD Graphics 730 can handle basic display output. However, the GPU’s fan and power draw are wasted on spreadsheets and web browsing. This is a professional tool, not a general-purpose office machine.

CPU Analysis

The Intel Core i3-13100TE is a 4-core, 8-thread processor from the Raptor Lake generation. It is built on Intel’s 10 nm process with a die size of 163 mm². The base clock is 2.40 GHz, which boosts up to 4.10 GHz under load. This is a low-power chip, with a TDP of just 35 W, making it suitable for compact or thermally constrained systems.

The cache hierarchy includes 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and a shared 12 MB L3 cache. This configuration provides decent data locality for a quad-core chip. Memory support includes both DDR4 and DDR5, running in dual-channel mode. The CPU also supports ECC memory, which is uncommon in consumer chips but valuable in workstations.

Benchmark scores show the CPU’s position relative to its peers. Its Geekbench multi-core score is 5703, and single-core is 1739. The Cinebench R23 multi-core score is 10054, and single-core is 1419. These numbers place it in the 52nd percentile of all CPUs, meaning it is average. Compared to the AMD Ryzen 5 6600HS, it is 0.3% slower, and compared to the AMD Ryzen 3 5425U, it is 0.4% slower. This indicates that the i3-13100TE is in the same performance tier as those mobile processors, despite being a desktop part.

The architecture is Raptor Lake-S, which is the desktop variant of Intel’s 13th generation. It does not have a multiplier unlocked, so overclocking is not supported. The integrated graphics are UHD Graphics 730, which are basic but functional for display output. For real workloads, the CPU is sufficient for light to moderate multi-threaded tasks, but it will struggle with heavy parallel workloads like video encoding or complex simulation. Its single-thread performance is more competitive, making it snappy for everyday use and older or less optimized software.

Gaming Performance

No measured FPS data exists for the Intel Core i3-13100TE and NVIDIA RTX 4000 Ada Generation combination. The FACT PACK contains no measuredFps rows for this exact pairing. Therefore, all frame rate discussions are estimates based on the benchmark scores of the individual components.

The GPU’s 95th percentile ranking suggests it is capable of very high frame rates at 1080p and 1440p in most modern games, provided the CPU can feed it enough data. The CPU’s single-core score of 1419 in Cinebench R23 is moderate, and its 4-core/8-thread configuration will likely bottleneck the GPU in CPU-intensive games or at lower resolutions. At 4K resolution, the GPU becomes the primary bottleneck, and the CPU’s limitations are less pronounced, allowing the GPU to show its full potential.

For esports titles like CS:GO or Valorant, the CPU’s 4.10 GHz boost clock may be sufficient to achieve high frame rates, but the GPU will be underutilized. For AAA titles like Cyberpunk 2077 or Microsoft Flight Simulator, the GPU’s 48 RT cores will enable high-quality ray tracing, but the CPU may struggle to maintain stable frame rates in crowded scenes. The 20 GB VRAM ensures that even the most demanding textures will fit in memory, preventing stuttering from VRAM overflow.

In summary, the gaming performance is expected to be high in GPU-bound scenarios, especially at higher resolutions, but the CPU will cap performance in lighter titles where frame rates are CPU-limited. The data suggests a 1440p or 4K gaming experience is more suitable than 1080p high-refresh gaming.

Who Should Build It

This build is aimed at professionals who need massive GPU compute power in a desktop form factor. The RTX 4000 Ada Generation is a workstation card, not a consumer gaming card, and its 20 GB VRAM and 48 RT cores target 3D rendering, scientific visualization, and AI development. The data shows the GPU is in the 95th percentile, making it a top-tier choice for these tasks.

Target users include 3D artists and animators who rely on ray-traced rendering and need the VRAM to hold complex scenes. The GPU’s OpenCL score of 146593 suggests it will excel in GPU-accelerated renderers. Video editors working with 4K or 8K timelines will benefit from the fast bandwidth and high FP32 throughput. Data scientists and researchers using CUDA-based frameworks will find the 192 tensor cores useful for AI training and inference.

The CPU’s 52nd percentile ranking means it is not a performance leader, but its low 35 W TDP makes it energy-efficient for a workstation that might run 24/7. The platform’s ECC memory support is a plus for data integrity. This is not a build for gamers seeking the highest frame rates at 1080p, as the CPU will be a bottleneck. Instead, it is for users who value GPU compute over CPU throughput and are willing to accept a modest CPU for the sake of efficiency.

FAQ

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

A: The combined percentile for this CPU and GPU pairing is 74, indicating it outperforms 74% of all desktop configurations.

Q: How does the CPU compare to the AMD Ryzen 5 6600HS?

A: The Intel Core i3-13100TE has an average benchmark score of 3111, which is 0.3% lower than the AMD Ryzen 5 6600HS’s score of 3122.

Q: How much VRAM does the RTX 4000 Ada Generation have, and what type is it?

A: It has 20 GB of GDDR6 memory on a 160-bit bus, with a memory bandwidth of 360.0 GB/s.

Q: What is the TDP of the CPU and GPU, and what PSU is suggested?

A: The CPU has a TDP of 35 W, and the GPU has a TDP of 130 W. NVIDIA suggests a 300 W PSU for the GPU.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i3-13100TE supports ECC memory, which is a feature for data integrity in professional workloads.

Q: What is the GPU’s Geekbench OpenCL score, and how does it compare to the NVIDIA A10M?

A: The GPU scored 146593 in Geekbench OpenCL. Its average benchmark score is 135218, which is exactly 0% different from the NVIDIA A10M’s score of 135230.

Q: What is the process node and transistor count for the GPU?

A: The GPU is built on a 5 nm process by TSMC and contains 35,800 million transistors.

Benchmark Performance

The CPU’s benchmark results paint a clear picture of an average, low-power processor. Its Cinebench R15 multi-core score is 1013, and single-core is 142. In R20, it scores 4222 multi-core and 595 single-core. The R23 scores are 10054 multi-core and 1419 single-core. Geekbench results are 5703 multi-core and 1739 single-core. These scores yield an average of 3111, placing it in the 52nd percentile of all CPUs. Its nearest rival, the AMD Ryzen 5 6600HS, has an average score of 3122, making the i3-13100TE 0.3% slower.

The GPU’s benchmark performance is exceptional. Its Geekbench OpenCL score is 146593, and its Vulkan score is 123842. The average benchmark score is 135218, which places it in the 95th percentile of all GPUs. This is a top-tier result, with the GPU matching the NVIDIA A10M (0% delta) and slightly trailing the AMD Radeon PRO V620 by 0.9%. The combined picture is one of extreme imbalance: a GPU that is in the top 5% of all graphics cards paired with a CPU that is in the middle of the pack. This means the system’s overall performance is heavily skewed toward GPU-accelerated tasks.

The CPU’s single-core performance is relatively stronger than its multi-core performance, as shown by its R23 single-core score of 1419 versus a multi-core score of 10054, which is typical for a 4-core chip. The GPU’s FP32 throughput of 26.73 TFLOPS is the headline number, indicating its power in scientific computing and rendering.

Build Overview

This is a desktop-class build, as classified by the `buildClass` field. It combines the Intel Core i3-13100TE, a 4-core/8-thread Raptor Lake processor, with the NVIDIA RTX 4000 Ada Generation, a professional workstation GPU. The pairing is distinctive: a low-power, efficient CPU alongside one of the most powerful workstation GPUs available. The overall tier, based on the combined percentile of 74, is solidly above average.

The CPU is designed for energy efficiency with a 35 W TDP, making it suitable for small form factor or always-on systems. The GPU, however, is a single-slot, 130 W card that requires a 300 W PSU, indicating a focus on compute density. The platform supports DDR4/DDR5 memory and PCIe Gen 5 from the CPU, providing a modern foundation.

The data shows this build is not about balance but about raw GPU power. It is a specialist tool for professionals who need the RTX 4000 Ada’s 20 GB VRAM and 48 RT cores. The CPU is adequate for managing the system, but it will not win any performance awards. This is a workstation for GPU-centric workloads, where the rendering or compute performance is the primary concern. The build’s tier is high due to the GPU’s 95th percentile ranking, despite the CPU’s average standing.

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

Power Build

System Balance Analysis

Intel Core i3-13100TE

NVIDIA RTX 4000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

Balance and Bottleneck

Upgrade Path and Platform

GPU Analysis

Usage Scenarios

CPU Analysis

Gaming Performance

Who Should Build It

FAQ

Benchmark Performance

Build Overview

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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