SYSTEM ANALYZER

Rate My PC: Intel Core i3-14100 + NVIDIA GeForce RTX 5090 D V2

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

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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87 Score

Top 13% Ranking

87 / 100

HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

84%

GPU

90%

PROCESSOR

Intel Core i3-14100

18,318 Benchmark Score

Top 16% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA GeForce RTX 5090 D V2

16,504 Benchmark Score

Top 10% 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.

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 pairing of an Intel Core i3-14100 with an NVIDIA GeForce RTX 5090 D V2 presents an extreme imbalance in raw compute potential. The CPU, a 4-core/8-thread Raptor Lake part, is positioned for entry-level desktop workloads, while the GPU is a monumental 24 GB Blackwell architecture behemoth. This combination is not a conventional match, and the benchmark data suggests a system where the processor will consistently dictate the ceiling for performance in most applications. The following analysis examines the measured specifications and synthetic scores to understand the practical implications of this configuration.

CPU Analysis

The Intel Core i3-14100 is built on the Raptor Lake architecture and manufactured on Intel's 10 nm process node. It features 4 physical cores and 8 threads, operating at a base clock of 3.50 GHz with a boost clock of 4.70 GHz. The thermal design power (TDP) is rated at 60 W, which is modest for a desktop part. Cache configuration includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 12 MB L3 cache. The CPU supports dual-channel DDR4 and DDR5 memory, includes ECC memory support, and provides 16 PCIe Gen 5 lanes. It also integrates UHD Graphics 730, although this is secondary to the discrete GPU in this build.

Benchmark results show a processor with strong single-thread capabilities relative to its core count. In Cinebench R23, the CPU scores 1,809 points in single-core and 12,820 points in multi-core. The single-core score indicates excellent responsiveness for lightly-threaded tasks, while the multi-core figure is respectable but limited by the 4-core design. The Geekbench scores of 2,133 (single-core) and 7,231 (multi-core) reinforce this profile. The processor's percentile rank among all CPUs is 72, meaning it outperforms the majority of processors in the benchmark database, which is notable for a 4-core part.

The PassMark suite provides further insight into workload characteristics. The single-thread score of 3,759 is robust, while the multi-thread score of 15,095 is comparatively lower. Specific workload tests show the i3-14100 excels in data compression (174,115) and integer math (45,329), but struggles with floating-point math (35,266) and prime number finding (55). This suggests the CPU is well-suited for general office productivity, web browsing, and light content creation, but will lag in heavily parallelized scientific or 3D rendering tasks. The nearest rival, the Intel Core 3 305, scores nearly identically with a delta of 0.1%, while the Core i3-13100 is 0.3% ahead, indicating this chip is at the top of its immediate performance class.

Balance and Bottleneck

This system exhibits a severe bottleneck, and the data clearly points to the CPU as the limiting factor in most scenarios. The combined percentile for the build is 66, which is heavily dragged down by the CPU's 72nd percentile rank versus the GPU's 59th percentile rank. While the GPU's percentile is lower, its raw performance ceiling is astronomically higher than the CPU can feed. In gaming, the 4-core/8-thread CPU will likely cap frame rates, especially at lower resolutions where the GPU is not saturated. The CPU's PassMark physics score of 958 is a low data point for gaming physics calculations, which often rely on multi-core performance.

The imbalance is evident when comparing the CPU's multi-threaded Cinebench R23 score of 12,820 to the GPU's capabilities. A processor with this score can handle moderate multitasking, but it will not sustain high frame rates in modern, CPU-intensive titles. The GPU, with its 24 GB of VRAM and massive compute resources, will frequently sit idle waiting for the CPU to deliver draw calls and game logic. In productivity applications like video editing, the CPU will bottleneck rendering timelines, while the GPU accelerates effects and exports. The benchmark data suggests that for any workload where the GPU is the primary engine—like 3D rendering or AI inference—the CPU will prevent the system from reaching its full potential.

GPU Analysis

The NVIDIA GeForce RTX 5090 D V2 is a flagship-class GPU built on the Blackwell 2.0 architecture and the GB202 chip, manufactured on a 5 nm process by TSMC. It contains 92,200 million transistors on a 750 mm² die. The GPU is equipped with 24 GB of GDDR7 memory on a 384-bit bus, providing a massive 1.34 TB/s of memory bandwidth. Core clocks are listed at 2,017 MHz base and 2,407 MHz boost. The shader configuration is substantial, with 21,760 shading units, 680 texture mapping units (TMUs), and 176 raster operations pipelines (ROPs). Ray tracing is handled by 170 dedicated RT cores, and AI acceleration is provided by 680 tensor cores.

The raw compute figures are staggering. The GPU delivers 104.8 TFLOPS of FP32 performance and an equal 104.8 TFLOPS for FP16, indicating a 1:1 ratio. Pixel fill rate is 423.6 GPixel/s, and texture rate is 1,636.8 GTexel/s. The TDP is 575 W, with a suggested PSU of 950 W and a single 16-pin power connector. Display outputs include one HDMI 2.1b and three DisplayPort 2.1b ports, supporting modern high-refresh monitors. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The only benchmark score provided for this GPU is 16,504 points in 3DMark Steel Nomad DX12. This places the GPU in the 59th percentile among all GPUs, which is surprisingly low for such a high-end part, suggesting the benchmark might not fully utilize its unique architecture or that the database has limited comparable data. Its nearest rivals are the NVIDIA T400 (0.0% delta), AMD Radeon PRO W7500 (0.5% ahead), NVIDIA RTX PRO 6000 Blackwell (0.6% ahead), and AMD Radeon RX 5700 XT (0.9% ahead). These are professional or older gaming cards, indicating the RTX 5090 D V2's score does not reflect its theoretical dominance. For rendering workloads, the 24 GB VRAM and 1.34 TB/s bandwidth are critical for large textures and complex scenes, but the CPU bottleneck will prevent the GPU from being fully utilized.

Who Should Build It

This build is not for a typical user. The data indicates a system for a niche professional or an enthusiast with very specific needs. Given the CPU's 72nd percentile rank and the GPU's 24 GB VRAM, a target user could be a developer working on AI model inference that requires massive memory but is not heavily dependent on CPU multi-threading. The 4-core CPU can handle code compilation, but the GPU's tensor cores would accelerate machine learning workloads. Another potential user is a student or researcher in a field requiring CUDA acceleration for scientific computing, where the GPU's FP32 and FP16 performance is paramount.

For gamers, this pairing is illogical. The CPU will bottleneck at 1080p and 1440p, preventing the GPU from delivering high frame rates. However, at 4K resolution, the GPU's load increases, and the bottleneck becomes less severe, though it will still exist. Content creators working with 8K video might benefit from the GPU's VRAM for previews and effects, but the CPU will slow down the editing timeline. Small business workstations running single-threaded database applications would see no benefit from this GPU. The most sensible user is one who prioritizes GPU compute over all else and has a workload that is massively parallel and GPU-bound.

Benchmark Performance

The CPU's average benchmark score is 18,318, which places it in the 72nd percentile. Its best-performing tests are PassMark data compression (174,115) and integer math (45,329). The single-core Cinebench R23 score of 1,809 is excellent for a 4-core chip. The GPU's average benchmark score is 16,504, which is the 3DMark Steel Nomad DX12 result, placing it in the 59th percentile. The combined percentile for the build is 66.

The data shows a stark contrast. The CPU is a high-percentile performer for its class, but its absolute multi-core scores (12,820 in Cinebench R23) are low compared to modern 8-core and 16-core parts. The GPU, while scoring in the 59th percentile in this specific test, has hardware specifications that suggest much higher potential. The combined picture is a system where the CPU's 4 cores/8 threads will be the primary constraint. The benchmark scores imply that in CPU-bound tasks, the system will perform like an entry-level desktop. In GPU-bound tasks, it will perform like a high-end workstation, but only if the task does not require significant CPU input.

Usage Scenarios

High-Refresh Gaming: The CPU's 4 cores and 8 threads will limit frame rates in modern titles. While the single-core score of 1,809 in Cinebench R23 is good, the multi-core score of 12,820 is insufficient for sustained high refresh rates at 1080p. At 1440p or 4K, the GPU will be more utilized, but the CPU will still cause frame drops in CPU-intensive scenes. This is not a recommended build for high-refresh gaming.

Streaming: Streaming requires both CPU and GPU resources. The CPU's 8 threads can handle encoding via x264, but the quality will be lower than slower presets. The GPU's NVENC encoder (implied by the architecture) can offload this task, but the CPU must still handle game logic and streaming software overhead. The passmark multi-thread score of 15,095 suggests this is possible, but the system will struggle with high-motion games.

Video Editing: The GPU's 24 GB VRAM and 1.34 TB/s bandwidth are excellent for 4K and 8K video timelines, effects, and color grading. However, the CPU's Cinebench R23 multi-core score of 12,820 will slow down video encoding and decoding tasks that rely on the processor. The system will be GPU-accelerated for effects, but the export times will be longer than with a higher-core-count CPU.

3D Rendering: This is a mixed scenario. The GPU's 104.8 TFLOPS FP32 performance is massive for GPU-based renderers like Blender Cycles or Octane. However, the CPU's low multi-core score will slow down scene preparation, physics simulations, and any CPU-based rendering. The 4-core CPU is a significant bottleneck for this workload.

Software Development: The CPU's single-core performance (Geekbench 2,133) is good for compilation speed of small projects. The PassMark data encryption score of 8,838 indicates adequate security operations. However, large codebases that compile across multiple cores will be slow. The GPU is irrelevant for most development tasks, making this a poor pairing for a developer.

Student and Office Work: For word processing, spreadsheets, and web browsing, the CPU's 72nd percentile rank and strong single-thread score are more than sufficient. The GPU is massively overkill for these tasks, but it will not hinder them. The system will be fast and responsive for office productivity, though the power draw and size are unnecessary.

FAQ

Q: What is the CPU's core and thread count?

A: The Intel Core i3-14100 has 4 cores and 8 threads.

Q: What is the GPU's memory capacity and type?

A: The GPU features 24 GB of GDDR7 memory.

Q: How does the CPU compare to the Intel Core i3-13100?

A: The Intel Core i3-13100 has an average benchmark score of 18,380, which is 0.3% higher than the i3-14100's score.

Q: What is the GPU's boost clock speed?

A: The NVIDIA GeForce RTX 5090 D V2 has a boost clock of 2407 MHz.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i3-14100 supports ECC memory.

Q: What is the GPU's total memory bandwidth?

A: The GPU provides 1.34 TB/s of memory bandwidth.

Q: What is the system's combined percentile ranking?

A: The combined percentile for this CPU and GPU pairing is 66.

Upgrade Path and Platform

The CPU is socketed in Intel Socket 1700 and supports the Raptor Lake architecture. This platform supports both DDR4 and DDR5 memory, though the memory bus is dual-channel. The CPU provides 16 PCIe Gen 5 lanes, which is sufficient for the GPU's PCIe 5.0 x16 interface. The CPU's TDP is 60 W, while the GPU's TDP is 575 W, with a suggested PSU of 950 W. This indicates a significant power supply requirement for the entire system.

A sensible upgrade path would be to replace the CPU with a higher-core-count Raptor Lake part. The motherboard and memory would remain compatible, but the PCIe Gen 5 lanes and dual-channel memory support would be better utilized with a processor that has more cores and threads. The GPU is already at the top of the performance hierarchy, so a future upgrade would only be necessary for new connectivity standards. The platform's primary limitation is the CPU, and upgrading to a 6-core or 8-core part would alleviate the bottleneck. The 950 W PSU suggestion provides headroom for such a CPU upgrade, as it is rated for the high-power GPU.

Build Overview

This is a desktop-class build combining an Intel Core i3-14100 with an NVIDIA GeForce RTX 5090 D V2. The CPU is a 4-core, 8-thread processor with a 72nd percentile ranking, while the GPU is a 24 GB Blackwell architecture card with a 59th percentile ranking in its sole benchmark. The overall tier of the build, based on the combined percentile of 66, is mid-range, but this is misleading. The CPU is an entry-level part, and the GPU is a flagship-level part. The build is defined by this extreme mismatch. It is a system that will excel in GPU-compute-heavy tasks that do not require significant CPU processing, but it will underperform in general-purpose computing and gaming.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measured FPS rows for any game. Therefore, all FPS figures below are estimates based on the benchmark scores and hardware specifications. The CPU's Cinebench R23 multi-core score of 12,820 and single-core score of 1,809 suggest it can handle game logic for older or less demanding titles. The GPU's 24 GB VRAM and high memory bandwidth are suited for high-resolution textures.

For esports titles like CS:GO or Valorant, the CPU's single-core performance is adequate for high frame rates at 1080p, but the GPU is massively overkill. The frame rate will be limited by the CPU, likely resulting in high but inconsistent FPS. For AAA titles at 1080p, the CPU will be the bottleneck, leading to lower average FPS and stuttering. At 1440p, the GPU will be more engaged, but the CPU will still cause frame drops in crowded scenes. At 4K, the GPU's load is high, and the CPU bottleneck is less pronounced, potentially allowing for high settings and playable frame rates. However, these are estimates. The data clearly indicates that this is not a balanced gaming system, and the CPU will prevent the GPU from achieving its maximum potential in any gaming scenario.

Rate My PC: Intel Core i3-14100 + NVIDIA GeForce RTX 5090 D V2

Power Build

System Balance Analysis

Intel Core i3-14100

NVIDIA GeForce RTX 5090 D V2

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Balance and Bottleneck

GPU Analysis

Who Should Build It

Benchmark Performance

Usage Scenarios

FAQ

Upgrade Path and Platform

Build Overview

Gaming Performance

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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