SYSTEM ANALYZER

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

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

91 / 100
ULTIMATE READY

Apex Performer

Top 9% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
84%
VS
GPU
99%
PROCESSOR

Intel Core i3-13100

18,380 Benchmark Score
Top 16% 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

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 i3-13100 and NVIDIA RTX 4000 Ada Generation pairing is a study in contrast: a budget-oriented quad-core CPU paired with a high-end workstation GPU. The FACT PACK contains no measured FPS data for this exact combination, so all gaming performance figures discussed here are estimates derived from the component benchmark scores, not empirical results. This analysis relies on the CPU’s 72nd percentile ranking and the GPU’s 95th percentile ranking to project capability.

Gaming Performance

Since no measured FPS rows exist for this specific build, gaming frame rates must be inferred from the benchmark scores. The RTX 4000 Ada’s Geekbench Vulkan score of 123,842 and OpenCL score of 146,593 place it in the 95th percentile of all GPUs, indicating exceptional rasterization and compute headroom. The Core i3-13100’s single-thread score of 1,692 in Cinebench R23 and 3,460 in PassMark single-thread suggest strong per-core performance, which is critical for frame pacing.

At 1080p resolution, the CPU is likely the limiting factor in most titles. The i3-13100’s 4-core, 8-thread configuration delivers a PassMark multi-thread score of 13,726, which is modest by modern standards. Games that rely heavily on single-thread performance, such as esports titles, should see high frame rates because the CPU’s single-core throughput is solid. However, modern AAA games that utilize more than four cores will likely see frame rates capped by the CPU’s thread count, even though the GPU could render far more frames.

At 1440p and 4K, the GPU becomes the dominant factor, and the RTX 4000 Ada’s 26.73 TFLOPS of FP32 performance and 360.0 GB/s memory bandwidth should allow for high frame rates in most titles. The 20 GB of GDDR6 memory at 18 Gbps effective is ample for high-resolution textures. Still, the CPU’s 12 MB of shared L3 cache and 4.50 GHz boost clock may cause occasional stutters in CPU-intensive scenes, especially in open-world games with complex physics simulations. Estimated frame rates at 4K would be substantially higher than a typical mid-range GPU, but the quad-core CPU could prevent the system from achieving the GPU’s maximum potential in lightly-threaded game engines.

Benchmark Performance

The CPU’s average benchmark score is 18,380, placing it in the 72nd percentile of all CPUs. Its nearest rivals are tightly clustered: the Intel Core 7 360 scores 18,374 (0% delta), the Intel Core 5 330 scores 18,345 (0.2% ahead), the Intel Core i3-14100 scores 18,318 (0.3% ahead), and the Intel Core 3 305 scores 18,302 (0.4% ahead). This places the i3-13100 in a virtual tie with its closest competitors, all within a fraction of a percent of each other. The data indicates that the i3-13100 is a capable entry-level processor that competes directly with newer low-end SKUs, but it does not offer a meaningful performance advantage over them.

The GPU’s average benchmark score is 135,218, placing it in the 95th percentile of all GPUs. Its nearest rivals include the NVIDIA A10M at 135,230 (0% delta), the AMD Radeon PRO W6800 at 135,396 (0.1% behind), the AMD Radeon Pro W6800X Duo at 135,774 (0.4% behind), and the AMD Radeon PRO V620 at 136,472 (0.9% behind). The RTX 4000 Ada effectively matches these workstation-class cards, with all deltas under 1%. This suggests that the GPU is a top-tier performer, significantly ahead of consumer gaming cards in the same generation.

The combined percentile for this pairing is 84, which reflects the GPU’s dominance pulling up the CPU’s weaker standing. The data shows a substantial imbalance: the GPU is in the top 5% of all graphics cards, while the CPU is in the top 28%. This gap is the defining characteristic of the build, suggesting that the GPU will sit idle in CPU-bound scenarios.

CPU Analysis

The Intel Core i3-13100 is a 4-core, 8-thread processor based on the Raptor Lake architecture, built on Intel’s 10 nm process node with a die size of 163 mm². It operates at a base clock of 3.40 GHz and boosts up to 4.50 GHz, with a 60 W TDP. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache.

In Cinebench R23, the CPU scores 11,986 in multi-core and 1,692 in single-core. The multi-core score is modest, reflecting the limited core count, but the single-core score is competitive with higher-tier chips, indicating strong IPC (instructions per clock) for its class. PassMark results reinforce this: a single-thread score of 3,460 is solid, while the multi-thread score of 13,726 shows a 4x scaling from single to multi-threaded workloads, which is typical for a 4-core/8-thread design.

Real-world workloads reveal the CPU’s strengths and weaknesses. Data compression scores 161,424 in PassMark, which is surprisingly high and suggests the 12 MB L3 cache helps with memory-bound tasks. Data encryption scores 8,049, which is moderate. The extended instructions score of 11,053 and floating-point math score of 32,325 indicate decent SIMD performance. However, the find prime numbers score of 52 is low, reflecting the CPU’s limitations in heavily parallel integer workloads. The physics score of 870 in PassMark is also modest, indicating that the CPU may struggle in simulation-heavy games or physics-based rendering tasks.

The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, though it does not support ECC memory. It features 16 PCIe Gen 5 lanes from the CPU, which is future-proof for storage, but the integrated UHD Graphics 730 is basic and unsuitable for gaming. The processor is multiplier-unlocked, meaning it cannot be overclocked, and it was released on January 3, 2023, with a launch MSRP of $134.

Upgrade Path and Platform

The Core i3-13100 uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory. This provides flexibility for builders, as existing DDR4 kits can be reused to save on costs, or DDR5 can be adopted for higher bandwidth. The CPU’s 60 W TDP is low, meaning most coolers will handle it easily, and the platform’s power delivery is not stressed.

The GPU, with a 130 W TDP and a suggested PSU of 300 W, is power-efficient for its performance class. A 300 W power supply is surprisingly low for a GPU in the 95th percentile, which means this build could run on a modest PSU, but the CPU and other components should be factored in. A sensible next upgrade would be to replace the CPU with a higher-core-count Raptor Lake part on the same LGA 1700 socket, such as a Core i5 or i7, which would provide more threads for multi-core workloads without changing the motherboard or memory. This would also better balance the system, as the GPU’s 95th percentile performance would no longer be held back by a 72nd percentile CPU.

The GPU uses a PCIe 4.0 x16 interface, which is fully compatible with the CPU’s PCIe Gen 5 lanes (backward compatible). The single-slot design and 245 mm length make it easy to fit in most cases. The 1x 16-pin power connector is standard for modern GPUs, and the 4x DisplayPort 1.4a outputs support multi-monitor setups. Upgrading the CPU would be the most impactful change, as the platform supports newer 13th-gen parts with more cores, though the exact model is not specified in the data.

Balance and Bottleneck

The data clearly indicates a CPU bottleneck in most gaming scenarios. The GPU’s 95th percentile versus the CPU’s 72nd percentile means the graphics card is capable of far more work than the processor can feed it. In frame rate terms, this translates to high FPS in GPU-bound scenarios (high resolution, heavy graphics settings) but lower FPS in CPU-bound scenarios (low resolution, high frame rate targets, physics-heavy games).

Evidence from the benchmark scores supports this: the CPU’s PassMark multi-thread score of 13,726 is low, while the GPU’s Geekbench OpenCL score of 146,593 is very high. In a balanced system, these scores would be closer relative to their respective percentiles. The FPS scaling would show diminishing returns when lowering resolution or graphics settings, as the CPU would become the limiting factor. At 4K, the GPU would be more fully utilized, but at 1080p, the CPU would likely cap frame rates well below the GPU’s maximum potential.

The combined percentile of 84 is lower than the GPU’s 95, confirming that the CPU drags down the overall system performance. For workloads that are purely GPU-accelerated, such as rendering or compute, the bottleneck is less severe. However, for tasks that require CPU involvement, such as game logic or physics, the quad-core CPU will be the constraint.

Usage Scenarios

High-refresh gaming: This build is not ideal for 1080p high-refresh gaming. The CPU’s single-thread score of 1,692 in Cinebench R23 is decent, but the 4-core limit will cause frame drops in modern titles. At 1440p or 4K, the GPU’s 26.73 TFLOPS can push high frame rates, but the CPU may prevent reaching 144 Hz in CPU-bound games. Estimated FPS would be high but inconsistent.

Streaming: Streaming requires both CPU and GPU resources. The GPU’s NVENC (via tensor cores) could handle encoding, but the CPU’s 8 threads are stretched thin when running a game and encoding simultaneously. The PassMark multi-thread score of 13,726 suggests that streaming at high quality while gaming would cause performance dips, especially in CPU-intensive titles.

Video editing: Video editing benefits from both CPU and GPU acceleration. The GPU’s 20 GB VRAM and 26.73 TFLOPS FP32 performance are excellent for effects and rendering, but the CPU’s 4 cores will slow down timeline scrubbing and export encoding in CPU-based workflows. The Cinebench R23 multi-core score of 11,986 is low for professional video editing, making this a GPU-accelerated editing machine with CPU limitations.

3D rendering: This is where the build shines. The GPU’s 48 RT cores and 192 tensor cores, along with 26.73 TFLOPS, are ideal for GPU-accelerated renderers. The 20 GB VRAM allows for large scenes. The CPU’s role is secondary in GPU rendering, so the quad-core is less of a bottleneck. The passmark floating-point math score of 32,325 on the CPU is adequate for scene preparation, but the GPU does the heavy lifting.

Software development: Compilation is heavily multi-threaded, so the CPU’s 4 cores will slow builds. The PassMark integer math score of 41,313 is moderate, and the multi-thread score of 13,726 indicates that large codebases will compile slowly. However, the GPU is irrelevant for most development tasks, so this is a poor match for a developer workstation.

Student and office work: This build is overkill for office tasks. The CPU’s single-thread performance is more than enough for spreadsheets and web browsing, and the GPU is completely underutilized. The 60 W CPU TDP and 130 W GPU TDP mean the system is relatively efficient, but the cost of the GPU is unjustified for this workload.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation GPU based on the Ada Lovelace architecture, built on TSMC’s 5 nm process node with 35,800 million transistors on a 294 mm² die. It features the AD104 chip with 6,144 shading units, 192 TMUs, and 64 ROPs. The GPU has 48 RT cores and 192 tensor cores, which are essential for ray tracing and AI-accelerated workloads.

The memory subsystem is notable: 20 GB of GDDR6 on a 160-bit bus, running at 2250 MHz (18 Gbps effective), yielding 360.0 GB/s of bandwidth. This is a large VRAM pool for a 160-bit bus, which is unusual but beneficial for large datasets. The clock speeds are 1500 MHz base and 2175 MHz boost, producing a pixel rate of 139.2 GPixel/s and a texture rate of 417.6 GTexel/s. The FP32 performance is 26.73 TFLOPS, with FP16 at the same rate (1:1).

In benchmark tests, the GPU scores 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan. These scores place it in the 95th percentile, essentially tied with rivals such as the NVIDIA A10M (0% delta) and slightly behind the AMD Radeon PRO V620 (0.9% delta). For rendering, the 20 GB VRAM is crucial for large scenes, and the 48 RT cores accelerate ray tracing. The tensor cores enable DLSS and AI denoising, which are valuable in real-time rendering. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, ensuring broad API compatibility. The single-slot design and 130 W TDP make it efficient for a workstation card, with a suggested PSU of only 300 W.

FAQ

Q: What is the CPU’s average benchmark score and percentile?

A: The Intel Core i3-13100 has an average benchmark score of 18,380, placing it in the 72nd percentile of all CPUs.

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

A: The RTX 4000 Ada has an average score of 135,218, in the 95th percentile. It is statistically tied with the NVIDIA A10M (0% delta) and is 0.9% behind the AMD Radeon PRO V620.

Q: Does this build support DDR5 memory?

A: Yes, the CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, but it does not support ECC memory.

Q: What is the GPU’s memory bandwidth?

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

Q: Is the CPU overclockable?

A: No, the multiplier is locked, so the Core i3-13100 cannot be overclocked.

Q: What is the suggested PSU wattage for the GPU?

A: The suggested PSU for the RTX 4000 Ada is 300 W, despite its 130 W TDP.

Q: What is the combined percentile of this build?

A: The combined percentile is 84, reflecting the GPU’s high performance relative to the CPU’s lower standing.

Who Should Build It

This pairing targets a specific niche: professionals who need workstation-class GPU compute but do not require high CPU core counts. The RTX 4000 Ada’s 95th percentile performance and 20 GB VRAM make it ideal for 3D rendering, GPU-accelerated video editing, and AI inference tasks. The 48 RT cores and 192 tensor cores support ray-traced visualization and deep learning workloads. For these users, the CPU’s 72nd percentile is sufficient, as the GPU handles the primary computation.

Gamers at 1440p or 4K could benefit from the GPU’s raw power, but the CPU will limit frame rates in CPU-bound titles. The build is less suitable for high-refresh 1080p gaming, where the quad-core CPU becomes a bottleneck. Content creators who work primarily in GPU-accelerated software, such as DaVinci Resolve or Blender, will see strong performance, provided their workflows are not CPU-bound.

Students and office workers should avoid this build, as the GPU is overkill and the CPU is adequate but not exceptional for general tasks. Small business workstations that run GPU-accelerated applications, such as CAD or scientific computing, would benefit from the 20 GB VRAM and 26.73 TFLOPS. The single-slot design and 130 W TDP make it suitable for compact workstations, and the 300 W suggested PSU keeps system power requirements low. For anyone needing top-tier GPU compute with a modest CPU, this build is a viable option, but it is not a balanced general-purpose machine.