SYSTEM ANALYZER

Rate My PC: Intel Core i3-14100 + NVIDIA RTX 4000 Ada Generation

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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91 Score

Top 9% Ranking

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%

GPU

99%

PROCESSOR

Intel Core i3-14100

18,318 Benchmark Score

Top 16% Market Ranking

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GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 Benchmark Score

Top 1% Market Ranking

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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

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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

# Balance and Bottleneck

The Intel Core i3-14100 and NVIDIA RTX 4000 Ada Generation pairing presents a fascinating asymmetry. The CPU sits at the 72nd percentile among all processors, while the GPU commands a dominant 95th percentile position among all graphics cards. This 23-point percentile gap is the central story of this build: the GPU is the clear performance leader, and in most demanding workloads, it will be the component that dictates the upper limits of what this system can achieve.

The combined percentile of 84 reflects this imbalance—it sits between the two individual scores, weighted toward the stronger GPU. Benchmark data confirms that the i3-14100 is a modest quad-core part with a PassMark multithread score of 15095, while the RTX 4000 Ada Generation delivers a Geekbench OpenCL score of 146593. The sheer magnitude of the GPU's compute advantage—roughly ten times the raw score in that particular benchmark—indicates that CPU-bound scenarios will be the exception rather than the rule.

The bottleneck dynamics shift depending on the workload. In lightly-threaded tasks like single-core productivity applications, the i3-14100's boost clock of 4.70 GHz and Cinebench R23 single-core score of 1809 keep it competitive, meaning the CPU may not be the limiting factor. However, in multi-threaded rendering or heavily parallel compute tasks, the 4-core, 8-thread configuration will saturate quickly. The CPU's Cinebench R23 multicore score of 12820 versus its single-core score of 1809 reveals a scaling efficiency of roughly 7.1x from 8 threads—reasonable but not exceptional, and indicative of diminishing returns once all cores are engaged.

For gaming, the balance tilts heavily toward the GPU. The RTX 4000 Ada Generation's 20 GB of VRAM and 360.0 GB/s memory bandwidth provide a massive buffer for high-resolution textures and complex scenes. The i3-14100, while capable of feeding frames in many scenarios, will likely constrain the GPU at lower resolutions or in CPU-intensive game logic. At 1080p, the CPU's single-thread performance becomes more critical, and its Geekbench single-core score of 2133 is adequate but not class-leading. At 1440p or 4K, the GPU's workload increases, and the CPU bottleneck diminishes.

The PassMark physics score of 958 and integer math score of 45329 offer additional context. Physics simulations in games often rely on multi-threaded CPU performance, and this score suggests the i3-14100 will handle moderate physics loads but may struggle with complex destructible environments or large numbers of simulated entities. The floating-point math score of 35266 is respectable for scientific and engineering calculations, but again, the GPU's 26.73 TFLOPS FP32 performance dwarfs what the CPU can deliver.

# Benchmark Performance

The CPU's average benchmark score is 18318, placing it in the 72nd percentile of all CPUs. Its nearest rivals are tightly clustered: the Intel Core 3 305 at 18302 (0.1% ahead), the Intel Core 5 330 at 18345 (0.1% behind), the Intel Core 7 360 at 18374 (0.3% behind), and the Intel Core i3-13100 at 18380 (0.3% behind). This clustering indicates that the i3-14100 is positioned in a highly competitive segment where small performance differences separate products. The i3-14100 effectively matches its predecessor and sits within a hair of higher-tier naming schemes, suggesting that architectural efficiency, not core count, drives its standing.

Breaking down the CPU benchmarks: Cinebench R15 multicore scores 1292 and single-core 182; Cinebench R20 multicore scores 5384 and single-core 759; Cinebench R23 multicore scores 12820 and single-core 1809. Geekbench multicore reaches 7231 and single-core 2133. The PassMark suite shows multithread at 15095, single-thread at 3759, data compression at 174115, data encryption at 8838, extended instructions at 11865, find prime numbers at 55, floating-point math at 35266, integer math at 45329, physics at 958, and random string sorting at 17397. These scores paint a picture of a capable entry-level desktop CPU that excels in single-threaded responsiveness while offering adequate multi-threaded throughput for basic productivity.

The GPU's average benchmark score is 135218, placing it in the 95th percentile of all GPUs. Its nearest rivals include the NVIDIA A10M at 135230 (0% difference), AMD Radeon PRO W6800 at 135396 (0.1% behind), AMD Radeon Pro W6800X Duo at 135774 (0.4% behind), and AMD Radeon PRO V620 at 136472 (0.9% behind). This positioning places the RTX 4000 Ada Generation in the upper echelon of workstation graphics, competing directly with professional-grade AMD offerings and matching the A10M's performance almost exactly. The Geekbench OpenCL score of 146593 and Vulkan score of 123842 demonstrate strong cross-API performance, with OpenCL outperforming Vulkan by roughly 18% in this specific benchmark set.

The combined picture is one of a workstation-class GPU paired with an entry-level desktop CPU. The GPU's 95th percentile ranking means it outperforms 95% of all GPUs in the database, while the CPU's 72nd percentile places it above nearly three-quarters of all processors. This is not a balanced pairing, but it is a deliberate one: the GPU carries the system's heavy compute load, while the CPU handles everyday tasks and feeds the GPU with data.

# GPU Analysis

The NVIDIA RTX 4000 Ada Generation is built on the AD104 chip, fabricated on TSMC's 5 nm process with 35,800 million transistors on a 294 mm² die. This translates to a transistor density of 121.8M per mm², showcasing the manufacturing sophistication behind the Ada Lovelace architecture. The GPU operates at a base clock of 1500 MHz and boosts to 2175 MHz, with memory running at 2250 MHz effective (18 Gbps). These clocks are modest for a high-end card, but the architecture's efficiency compensates.

The memory subsystem is distinctive: 20 GB of GDDR6 on a 160-bit bus, yielding 360.0 GB/s of bandwidth. This is a deliberately workstation-oriented configuration—more VRAM than gaming cards typically offer, but with a narrower bus that prioritizes capacity over raw bandwidth. The 160-bit bus is unusual for a card in the 95th percentile, yet the 20 GB capacity enables large datasets, high-resolution textures, and complex 3D scenes that would exceed the VRAM of gaming-focused cards.

Compute resources are substantial: 6144 shading units, 192 texture mapping units, 64 raster output units, 48 RT cores, and 192 tensor cores. The pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s indicate strong rasterization throughput. FP32 performance of 26.73 TFLOPS, with FP16 matching at 26.73 TFLOPS (1:1 ratio), provides balanced single and half-precision compute. This makes the card suitable for AI inference, scientific simulation, and rendering workloads that leverage FP16 acceleration.

The RT cores and tensor cores are the standout features for modern workloads. The 48 RT cores handle hardware-accelerated ray tracing, while 192 tensor cores accelerate deep learning and AI operations. The benchmark scores—Geekbench OpenCL at 146593 and Vulkan at 123842—reflect this hardware's capability. The OpenCL score being higher than Vulkan suggests the card is optimized for compute-heavy professional applications, which aligns with its workstation positioning. For rendering, the combination of 20 GB VRAM, 26.73 TFLOPS FP32, and RT core support means the card can handle complex scenes with ray tracing enabled, though the 160-bit memory bus may limit performance in bandwidth-intensive rendering scenarios.

# Who Should Build It

This pairing targets users who need serious GPU compute power without a correspondingly high-end CPU. The data suggests three primary audiences. First, content creators working with large video files or high-resolution images will benefit from the 20 GB VRAM and 26.73 TFLOPS FP32 performance—tasks like 8K video editing, complex compositing, and large-scale photo manipulation will offload heavily to the GPU. Second, 3D artists and architectural visualizers who use GPU-accelerated renderers will find the RT cores and tensor cores valuable, with the 95th percentile GPU ranking ensuring compatibility with demanding scenes. Third, developers working on machine learning or scientific computing projects can leverage the tensor cores and FP16 performance for model training and inference.

Students in engineering, computer science, or digital arts programs will find this build capable, though the CPU's 72nd percentile ranking means CPU-heavy coursework like compiling large codebases or running virtual machines may feel constrained. Small business workstations handling CAD, data analysis, or video production would benefit from the GPU's workstation-class performance, particularly in tasks that use OpenCL acceleration. Gamers at 1440p or 4K seeking high frame rates will find the GPU more than sufficient, but should be aware that the CPU may limit performance in CPU-bound titles.

The launch MSRP of the CPU is $134, which positions it as an entry-level processor, but the GPU's workstation pricing (no MSRP provided) indicates a professional-grade investment. This is a system built around the GPU, with the CPU serving as a capable but secondary component.

# Usage Scenarios

High-Refresh Gaming: The GPU's 95th percentile ranking and 26.73 TFLOPS FP32 performance suggest strong frame rates at 1440p and 4K. However, the CPU's single-core score of 1809 in Cinebench R23 may bottleneck at 1080p with high refresh rates, where CPU-bound frame generation becomes critical. Expect smooth gameplay at higher resolutions, with potential frame drops in CPU-intensive titles at lower settings.

Streaming: The i3-14100's 4 cores and 8 threads with a PassMark multithread score of 15095 may struggle with simultaneous encoding and gaming. The GPU's NVENC capability (implied by the Ada architecture, though not explicitly benchmarked) could offload encoding, but the CPU's limited multi-threaded headroom may cause hitches in demanding titles.

Video Editing: The 20 GB VRAM and 360.0 GB/s bandwidth provide ample resources for 4K and 8K timelines. GPU-accelerated effects and color grading will benefit from the OpenCL score of 146593, while the CPU handles timeline scrubbing and export encoding with its 12820 Cinebench R23 multicore score—adequate for 1080p or light 4K work.

3D Rendering: The RT cores and 26.73 TFLOPS FP32 make this a strong choice for GPU-accelerated renderers like Blender Cycles or Octane. The 20 GB VRAM allows large scenes to fit entirely in GPU memory, avoiding spills to system RAM. The CPU's rendering contribution will be minimal, but the GPU more than compensates.

Software Development: The CPU's single-core performance (Geekbench single-core 2133) supports responsive code editing and compilation of small projects. Large codebases or parallel builds will strain the 4-core design. The GPU could accelerate compute-heavy development tasks like CUDA programming or data processing.

Student and Office Work: For document editing, web browsing, and spreadsheet analysis, the i3-14100's single-thread score of 3759 in PassMark ensures snappy responsiveness. The GPU is massively overkill for these tasks, but the system remains fully functional for standard productivity workloads.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFpsUltraByGame rows, and dataIsMeasured is false. Therefore, all FPS discussion here is estimated from the benchmark scores and should be treated as expectations rather than verified results.

Based on the GPU's 95th percentile ranking and Geekbench OpenCL score of 146593, the RTX 4000 Ada Generation is positioned to deliver high frame rates at 1440p and 4K in most modern titles. The 20 GB VRAM eliminates concerns about texture memory at ultra settings. The CPU's single-core performance (Cinebench R23 score of 1809) is adequate for most games, but the 4-core, 8-thread configuration may limit performance in titles that leverage more than four threads for game logic or physics.

At 1080p, the CPU is more likely to become the bottleneck, particularly in esports titles where high frame rates (144+ FPS) place heavy demands on single-thread performance. At 1440p, the GPU's workload increases, and the system should deliver strong frame rates in visually demanding games. At 4K, the GPU becomes the primary driver, and the 26.73 TFLOPS FP32 performance suggests playable frame rates in most titles, though the 160-bit memory bus may cause occasional texture streaming hiccups in VRAM-heavy scenes.

For ray-traced titles, the 48 RT cores provide dedicated hardware acceleration, but the performance will depend on the specific game's implementation and resolution. The tensor cores could enable DLSS (Deep Learning Super Sampling) if the game supports it, potentially boosting frame rates significantly, though this is not explicitly confirmed in the benchmark data.

# Upgrade Path and Platform

The Intel Core i3-14100 uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in dual-channel configuration. The CPU provides PCIe Gen 5 with 16 lanes (CPU only), while the GPU uses PCIe 4.0 x16. This means the GPU runs at PCIe 4.0 speeds, which is the interface it was designed for, while the CPU's PCIe 5.0 lanes offer future-proofing for next-generation storage or expansion cards.

The CPU's TDP is 60 W, and the GPU's TDP is 130 W, with a suggested PSU of 300 W. This is a modest power envelope that leaves substantial headroom for upgrades. A system with this pairing would likely draw well under 300 W under typical loads, meaning a higher-capacity PSU could be added without replacing the existing one. The GPU uses a single 16-pin power connector, which is standard for modern cards.

The socket 1700 platform supports Intel Core 14th Gen (Raptor Lake Refresh) CPUs, including higher-core-count options. A sensible next upgrade would be a processor with more cores, such as an i5 or i7 from the same generation, which would better balance the system's compute capabilities. The memory support for both DDR4 and DDR5 means users can choose their memory type based on availability and budget, though the CPU's memory bandwidth is not specified in the data.

The GPU's successor is listed as Blackwell PRO W, indicating a next-generation workstation architecture. The current RTX 4000 Ada Generation uses the PCIe 4.0 x16 interface, and a future GPU upgrade would likely require a motherboard with PCIe 4.0 or 5.0 support, which the socket 1700 platform provides. The 300 W suggested PSU provides a baseline, but a more powerful GPU may require a higher-capacity PSU.

# FAQ

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

A: The Intel Core i3-14100 has 4 cores and 8 threads, with a base clock of 3.50 GHz and boost clock of 4.70 GHz.

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

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

Q: What is the CPU's percentile ranking among all CPUs?

A: The i3-14100 is in the 72nd percentile of all CPUs, with an average benchmark score of 18318.

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

A: The RTX 4000 Ada Generation is in the 95th percentile of all GPUs, with an average benchmark score of 135218.

Q: What memory types does the CPU support?

A: The i3-14100 supports both DDR4 and DDR5 memory in dual-channel configuration.

Q: What is the GPU's power consumption and recommended PSU?

A: The GPU has a TDP of 130 W, and the suggested PSU is 300 W.

Q: Does the CPU have integrated graphics?

A: Yes, the i3-14100 includes UHD Graphics 730, which can provide basic display output without a discrete GPU.

# CPU Analysis

The Intel Core i3-14100 is a 4-core, 8-thread desktop processor from the Core 14th Gen series, built on the Raptor Lake architecture (Raptor Lake-R codename). It is manufactured on Intel's 10 nm process node, 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 is a modest cache configuration, but the high boost clock of 4.70 GHz compensates in single-threaded tasks.

The CPU's benchmark scores reveal its positioning. Cinebench R23 multicore at 12820 and single-core at 1809 show a 7.1x scaling factor across 8 threads, which is typical for a quad-core with hyper-threading. Geekbench multicore at 7231 and single-core at 2133 demonstrate similar characteristics. The PassMark suite provides deeper insights: multithread at 15095, single-thread at 3759, data compression at 174115, data encryption at 8838, extended instructions at 11865, find prime numbers at 55, floating-point math at 35266, integer math at 45329, physics at 958, and random string sorting at 17397.

The nearest rivals are all within 0.3% of its average score of 18318. The Intel Core 3 305 is 0.1% ahead at 18302, the Core 5 330 is 0.1% behind at 18345, the Core 7 360 is 0.3% behind at 18374, and the Core i3-13100 is 0.3% behind at 18380. This tight clustering suggests that the i3-14100 represents a performance plateau in this segment—upgrading to a nominally higher-tier CPU offers negligible gains. The data implies that this CPU is well-optimized for its core count, with architectural efficiency compensating for the limited core count.

The CPU supports ECC memory, which is unusual for consumer processors and beneficial for workstation reliability. The PCIe Gen 5 support with 16 lanes (CPU only) provides high-bandwidth connectivity for storage and expansion. The 60 W TDP keeps power consumption low, making it suitable for compact builds. The launch MSRP of $134 positions it as an entry-level part, though the performance data shows it competes with higher-priced options.

# Build Overview

This build pairs the Intel Core i3-14100 with the NVIDIA RTX 4000 Ada Generation in a desktop configuration. The combined percentile is 84, reflecting a system that is above average overall but dominated by the GPU's high-end positioning. The CPU's 72nd percentile and GPU's 95th percentile create a significant performance disparity, but this can be intentional for workloads that are heavily GPU-accelerated.

The i3-14100 is a 10 nm Raptor Lake part with 4 cores and 8 threads, running at 3.50 GHz base and 4.70 GHz boost. It supports DDR4 and DDR5 memory and provides PCIe Gen 5 lanes. The RTX 4000 Ada Generation is an AD104 chip on TSMC's 5 nm process, with 20 GB of GDDR6 memory, 6144 shading units, 48 RT cores, and 192 tensor cores. The GPU's 26.73 TFLOPS FP32 performance and 360.0 GB/s bandwidth make it a workstation-class component.

The system's class is desktop, and the combined percentile of 84 indicates it outperforms 84% of all recorded builds in the database. This is primarily driven by the GPU, which outperforms 95% of all GPUs. The CPU, while not a top-tier part, is competent for everyday tasks and light productivity. The imbalance between CPU and GPU performance suggests this build is optimized for GPU-bound workloads like 3D rendering, video editing, and AI inference, rather than CPU-bound tasks like software compilation or database processing.

The build's power requirements are modest—60 W for the CPU and 130 W for the GPU, with a suggested PSU of 300 W—making it energy-efficient for its performance level. The single-slot GPU design and 245 mm length facilitate installation in compact chassis. The 4x DisplayPort 1.4a outputs support multi-monitor workstations. This is a system that prioritizes GPU compute capability above all else, with the CPU serving as a capable but clearly secondary component.

Rate My PC: Intel Core i3-14100 + NVIDIA RTX 4000 Ada Generation

Apex Performer

System Balance Analysis

Intel Core i3-14100

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

Optimal Performance

4K Gaming Ready

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

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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