SYSTEM ANALYZER

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

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

91 / 100
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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
98%
PROCESSOR

Intel Core i3-14100

18,318 Benchmark Score
Top 16% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090 D

77,712 Benchmark Score
Top 2% 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
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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

The Intel Core i3-14100 and NVIDIA GeForce RTX 5090 D represent one of the most extreme pairings in the current desktop landscape. This combination pairs a mainstream, low-power 4-core processor with a flagship, 575W graphics card. The benchmark data reveals a system defined by stark contrasts: the CPU sits at the 72nd percentile among all processors, while the GPU commands the 92nd percentile among all graphics cards. The combined percentile for this build is 82. This is not a balanced system, but rather a specialized tool where the GPU is the clear centerpiece. The analysis below relies strictly on the provided benchmark data to understand what this pairing can and cannot do, with all gaming performance figures treated as estimates since no measured FPS data exists for this exact combination.

CPU Analysis

The Intel Core i3-14100 is a 4-core, 8-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It is built on Intel's 10nm process node with a die size of 163 mm². The base clock is 3.50 GHz, which can boost up to 4.70 GHz under load. This is a locked multiplier CPU (multiplierUnlocked: false), meaning overclocking is not supported. The processor supports both DDR4 and DDR5 memory across a dual-channel memory bus, and it includes ECC memory support. Integrated graphics are provided by the UHD Graphics 730, which is useful for troubleshooting or basic display output but irrelevant for gaming with the RTX 5090 D installed.

In multi-threaded workloads, the i3-14100 delivers a Cinebench R23 multicore score of 12820 and a Geekbench multicore score of 7231. The Passmark multithread score is 15095. These figures place the CPU at the 72nd percentile, with an average benchmark score of 18318. The nearest rivals show how tightly clustered this processor is with other modern parts. The Intel Core 3 305 scores 18302, a delta of 0.1% behind, while the Intel Core 5 330 scores 18345, a delta of -0.1% ahead. The Intel Core i3-13100 is nearly identical, scoring 18380, just 0.3% higher. This indicates that the i3-14100 is essentially at parity with its immediate predecessor and other entry-level chips in the same class.

Single-thread performance is where the architecture shines. The Cinebench R23 single-core score is 1809, and the Passmark single-thread score is 3759. These numbers are strong for a 4-core part, suggesting that the Raptor Lake architecture has a high IPC (instructions per clock) and efficient boost behavior. The 4.70 GHz boost clock contributes to this. For real workloads, this means the CPU will feel responsive in everyday tasks like web browsing, office applications, and light productivity. The data indicates it can handle single-threaded tasks with ease, but the 4-core/8-thread configuration will be a hard limit in heavily threaded scenarios.

The CPU's L3 cache is 12 MB shared, with L2 cache at 1.25 MB per core and L1 at 80 KB per core. This is a modest amount of cache, which is typical for the entry-level segment. The Passmark data compression score of 174115 and integer math score of 45329 show capable throughput for general computing, but the find prime numbers score of 55 and physics score of 958 are low, reflecting the limited core count. The processor's TDP is 60W, making it very power-efficient, but this efficiency comes at the cost of multi-core brute force. The data shows a clear profile: a strong single-threaded performer that is outclassed by higher-core-count parts in rendering, encoding, and other parallel workloads.

Benchmark Performance

The benchmark scores for this pair reveal a massive performance gap between the CPU and GPU. The CPU's average benchmark score is 18318, while the GPU's average benchmark score is 77712. This is not a direct comparison of the same test, but it illustrates the scale of difference in their raw compute capabilities. The GPU delivers a Passmark G3D score of 44065, a 3DMark Steel Nomad DX12 score of 14326, and a Geekbench Vulkan score of 376915. The CPU's highest benchmark, Passmark multithread, is 15095, which is a fraction of the GPU's compute scores.

The combined percentile is 82, which is high, but this is driven almost entirely by the GPU. The GPU sits at the 92nd percentile, while the CPU is at the 72nd. The nearest rivals for the GPU provide context: the AMD Radeon RX 6650M XT scores 76904, a delta of 1.1% behind the RTX 5090 D, while the AMD Radeon RX 6850M XT scores 78940, a delta of -1.6% ahead. The NVIDIA Tesla P100 PCIe 12 GB and 16 GB variants score 79396 and 79605, respectively, placing them 2.1% and 2.4% ahead. This is surprising data, as it suggests the RTX 5090 D's average score is in line with these mobile and data-center parts, rather than being the undisputed leader. However, the raw specs tell a different story about peak performance.

The CPU's nearest rivals show a 0.3% delta or less, meaning the i3-14100 is effectively tied with its closest competitors. The Intel Core i3-13100 is just 0.3% faster, which makes the generational improvement negligible. The RTX 5090 D, on the other hand, has a 1.1% delta compared to the RX 6650M XT, but the actual performance scores are so high that even a small percentage difference is a large absolute number. The GPU's Passmark DirectX 12 score is 219, which is low compared to DirectX 11 score of 371, indicating that the driver or benchmark may not fully utilize the Blackwell architecture in legacy DX12 paths. The Geekbench OpenCL score of 310674 is substantial, showing strong compute throughput.

The combined picture is one of a system that will excel in GPU-bound tasks and struggle in CPU-bound tasks. The data shows no measured FPS rows for this exact combination, so all gaming performance is estimated from the benchmark scores. The GPU's 3DMark Steel Nomad score of 14326 and Passmark G3D score of 44065 suggest it can handle any modern game at high resolutions, but the CPU's lower percentile will likely cap frame rates in CPU-limited scenarios, such as 1080p gaming with a high-end GPU.

Usage Scenarios

For high-refresh gaming at 1080p, the data suggests this is a problematic pairing. The CPU's single-thread score of 3759 is good, but the 4-core/8-thread configuration may struggle to maintain high frame rates in modern games that utilize more than 4 cores. The GPU is capable of producing extremely high FPS, but the CPU may become the bottleneck, preventing the system from reaching the full potential of the RTX 5090 D. The estimated FPS at 1080p would be lower than what the GPU can theoretically deliver, making this a poor choice for competitive esports titles where high CPU frequency is critical.

Streaming is a mixed scenario. The CPU has a TDP of 60W and 8 threads, which is enough for light streaming workloads, but the RTX 5090 D includes dedicated NVENC hardware (not explicitly listed, but implied by the architecture). The GPU's high compute scores, such as the Geekbench Vulkan score of 376915, indicate it can handle video encoding efficiently. However, the CPU's limited threads may struggle if the game is CPU-intensive and the stream encoding is done on the CPU. The data suggests using the GPU for encoding would be the only viable path for smooth streaming.

Video editing in applications like Premiere Pro or DaVinci Resolve would see a split. The GPU's 32 GB of VRAM and high FP32 throughput of 104.8 TFLOPS would accelerate effects, color grading, and rendering tasks dramatically. The GPU's Passmark GPU compute score of 28396 supports this. However, the CPU's Cinebench R23 multicore score of 12820 is low for timeline scrubbing and exporting, which often rely on CPU cores. The system would be fast for GPU-accelerated effects but slow for pure CPU export tasks.

3D rendering in Blender or similar software would be heavily GPU-bound. The RTX 5090 D's 21760 shading units and 170 RT cores would render scenes at a speed that the CPU could not match. The CPU's low multi-thread score means it would spend a long time on physics simulations or geometry preparation, but the actual rendering frame time would be dominated by the GPU. This is a scenario where the CPU is a clear bottleneck, but the GPU's raw power makes it usable for final renders.

Software development is a mixed bag. The CPU's single-thread score of 3759 is good for compilation of small to medium projects, but the 4-core limit means large builds would be slow. The GPU is irrelevant for most development tasks, so this system would not be ideal for heavy software engineering workloads. The CPU's 12 MB L3 cache and 8 threads are enough for basic coding, but the lack of cores is a limitation.

Student and office work is where this system is massively overkill. The CPU's single-thread performance is excellent for web browsing, document editing, and spreadsheets. The GPU's power is wasted in these tasks, but the system would be extremely responsive. The 60W TDP of the CPU means low idle power, but the 575W TDP of the GPU means the system overall is not energy-efficient. For a student who plays games at 4K, this could be a great setup, but for pure office work, it is a poor allocation of resources.

Who Should Build It

The target user for this build is a gamer or content creator who prioritizes GPU performance above all else and plays at 4K resolution, where the CPU bottleneck is less impactful. The GPU's 32 GB of VRAM and 1.79 TB/s bandwidth make it ideal for 4K and 8K textures, and the 92nd percentile GPU score means it will handle any game at maximum settings. The data supports this: the GPU's high scores in DirectX 11 and 12, and the massive FP32 throughput, are designed for high-resolution rendering.

Content creators who work with GPU-accelerated software, such as video editors using DaVinci Resolve or 3D artists using OctaneRender, would benefit from the RTX 5090 D's compute power. The GPU's Geekbench OpenCL score of 310674 and Vulkan score of 376915 indicate strong compute performance for these tasks. However, they must accept the CPU's limitations in CPU-bound aspects of their workflow. The data suggests this is a system for professionals who know their software is GPU-bound.

Small business workstations that run GPU-intensive applications, such as AI inference or data visualization, could use this system. The GPU's 680 tensor cores (implied by architecture) would accelerate machine learning workloads, though this is not explicitly benchmarked. The CPU's ECC memory support is a plus for data integrity. However, the lack of a measured FPS or compute benchmark for these specific tasks means this is an inference from the hardware specs.

Students in STEM fields who need a powerful GPU for research, such as deep learning or computational physics, would find this system useful. The GPU's high VRAM is critical for large datasets. The CPU's low cost (launch MSRP of $134) means the total system cost is dominated by the GPU, which is expected for this class of build. The data shows this is not a balanced system, but it is a targeted one.

Upgrade Path and Platform

The platform is based on the Intel Socket 1700, which is the final socket for the Core 14th Gen series. The CPU supports DDR4 and DDR5 memory, and the system has a PCIe Gen 5, 16-lane connection from the CPU. This means the RTX 5090 D, which uses a PCIe 5.0 x16 interface, is fully supported at the maximum bandwidth. The memory bus is dual-channel, and the CPU supports ECC memory, which is rare for a consumer part.

The upgrade path is limited. The i3-14100 is a locked multiplier CPU, so overclocking is not possible. The socket 1700 is end-of-life, meaning future CPU upgrades would require a new motherboard. The sensible next upgrade would be to a higher-core-count CPU on the same socket, such as an i5 or i7 from the Core 14th Gen series, but the data does not list these as rivals. The GPU, however, has no upgrade path within this generation, as it is the top-tier part.

The PSU headroom is a critical consideration. The GPU has a TDP of 575W, and the suggested PSU is 950W. The CPU has a TDP of 60W, so the total system power draw is well within the suggested PSU's capacity. The power connectors are 1x 16-pin for the GPU, which is standard for high-end cards. The CPU's low TDP means the PSU does not need to be oversized for the CPU, but the GPU's high draw requires a high-quality 950W PSU.

The memory support for both DDR4 and DDR5 means the user can choose between cost-effective DDR4 or faster DDR5. The dual-channel bus is standard, and the 12 MB L3 cache is shared across all 4 cores. The PCIe Gen 5 support from the CPU is a future-proofing feature, though the GPU already uses this interface. The data suggests that the platform is balanced in terms of I/O, but the CPU core count is the limiting factor for upgrades.

Gaming Performance

No measured FPS rows exist for this exact combination, so all gaming performance figures below are estimates based on the benchmark scores. The dataIsMeasured field is false, meaning these are extrapolations from the CPU and GPU scores, not direct measurements. The GPU's 3DMark Steel Nomad DX12 score of 14326 and Passmark G3D score of 44065 indicate it is capable of very high frame rates in most games. The CPU's single-thread score of 3759 is sufficient for many games, but the 4-core limit will cause issues in titles that scale beyond 4 threads.

At 1080p resolution, the CPU is likely the bottleneck. The GPU can render frames faster than the CPU can issue draw calls, leading to lower FPS than the GPU's potential. In esports titles like Counter-Strike 2 or Valorant, the high single-thread score would help, but the 4-core limit might cause frame drops in crowded scenes. The estimated FPS would be high, but not as high as a system with a stronger CPU.

At 1440p, the GPU becomes more of a factor, but the CPU still plays a role. The estimated FPS would be high, with the GPU handling the increased resolution load. The 32 GB of VRAM is more than enough for 1440p textures. The bottleneck would shift slightly toward the GPU, but the CPU would still limit the maximum frame rate in many titles.

At 4K, the GPU is the dominant factor. The CPU's 4 cores are sufficient to keep up with the GPU at this resolution, as the GPU is rendering so many pixels that the CPU has time to prepare frames. The estimated FPS at 4K would be very high, with the GPU's 1.79 TB/s bandwidth and 32 GB VRAM ensuring smooth performance. This is the resolution where this system makes the most sense, as the CPU bottleneck is minimized.

For ray tracing, the GPU's 170 RT cores would deliver excellent performance, but the CPU's limited cores could cause issues in games that use ray tracing for CPU-side calculations. The estimated FPS with ray tracing enabled would be lower than without, but still playable at 4K. Overall, the gaming data suggests this is a 4K-focused system, with diminishing returns at lower resolutions.

GPU Analysis

The NVIDIA GeForce RTX 5090 D is a flagship GPU based on the Blackwell 2.0 architecture, built on a 5nm process at TSMC. The chip, codenamed GB202, contains 92,200 million transistors on a 750 mm² die, with a transistor density of 122.9M per mm². This is an enormous chip, and the specs reflect that. The GPU has 32 GB of GDDR7 memory on a 512-bit bus, providing 1.79 TB/s of bandwidth. The base clock is 2017 MHz, boosting to 2407 MHz, with memory running at 1750 MHz (28 Gbps effective).

The GPU has 21760 shading units, 680 TMUs, and 176 ROPs. It also has 170 RT cores and 680 tensor cores. The pixel rate is 423.6 GPixel/s, and the texture rate is 1,636.8 GTexel/s. The FP32 throughput is 104.8 TFLOPS, which is the same as the FP16 throughput, indicating a 1:1 ratio. This is a massive amount of compute power for both gaming and professional workloads. The TDP is 575W, requiring a 950W PSU, and the card is dual-slot with a 304mm length.

The benchmark scores show a GPU that is at the 92nd percentile, with an average score of 77712. The 3DMark Steel Nomad DX12 score of 14326 is high, indicating strong DX12 performance. The Geekbench Vulkan score of 376915 is exceptionally high, showing the GPU is well-suited for Vulkan-based games and compute. The OpenCL score of 310674 is also strong, indicating good compute performance for rendering and AI tasks. The Passmark G3D score of 44065 is lower than expected for a flagship, but the DirectX 12 score of 219 is notably low, suggesting the benchmark may not be well-optimized for the Blackwell architecture.

For rendering, the GPU's 32 GB of VRAM is crucial for large scenes and high-resolution textures. The 104.8 TFLOPS FP32 performance means it can handle complex simulations and effects in real-time. The RT cores would accelerate ray-traced rendering in Blender or Maya. The tensor cores (680) would accelerate AI denoising and deep learning super sampling, though this is not explicitly benchmarked. The data shows this GPU is a professional-grade compute tool as much as a gaming card.

FAQ

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

A: The combined percentile is 82, which is driven primarily by the GPU's 92nd percentile ranking, while the CPU sits at the 72nd percentile.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i3-14100 supports ECC memory, which is rare for a consumer desktop processor.

Q: What is the GPU's memory bandwidth?

A: The RTX 5090 D has a memory bandwidth of 1.79 TB/s, using 32 GB of GDDR7 memory on a 512-bit bus.

Q: Are there any measured FPS results for this specific CPU+GPU combination?

A: No, there are no measured FPS rows for this exact combination. All gaming performance figures are estimates based on the CPU and GPU benchmark scores.

Q: What is the recommended PSU wattage for this system?

A: The suggested PSU is 950W, which accounts for the GPU's 575W TDP and the CPU's 60W TDP.

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

A: The i3-14100 has an average benchmark score of 18318, which is 0.3% lower than the i3-13100's score of 18380, making them essentially identical in performance.

Q: What is the GPU's FP32 performance?

A: The RTX 5090 D delivers 104.8 TFLOPS of FP32 performance, which is equal to its FP16 performance, indicating a 1:1 ratio.

Balance and Bottleneck

The data clearly shows that the GPU is the dominant component in this build, and the CPU is the bottleneck in most workloads. The CPU's 4 cores and 8 threads are a hard limit for multi-threaded tasks. In Cinebench R23 multicore, the CPU scores 12820, which is a modest result. The GPU's Passmark G3D score of 44065 is over three times higher than the CPU's highest Passmark score. This indicates that in GPU-bound tasks, such as high-resolution gaming or GPU rendering, the system can perform well. However, in CPU-bound tasks, such as physics simulations or video encoding, the CPU will hold the system back.

The FPS scaling evidence, though estimated, supports this. At 1080p, the CPU is likely to be the limiting factor, as the GPU can produce frames faster than the CPU can process game logic. At 4K, the GPU becomes the bottleneck, as the resolution increases the GPU's workload. This means the system is balanced only at 4K, where the GPU's high performance is matched by the CPU's ability to keep up. The CPU's single-thread score of 3759 is good enough for most games, but the 4-core limit will cause stuttering in games that use more than 4 threads.

The GPU's nearest rivals, the AMD Radeon RX 6650M XT and RX 6850M XT, show deltas of 1.1% and -1.6%, respectively. This indicates that the RTX 5090 D's average score is not significantly higher than these mobile parts, which is surprising. However, the raw specs of the RTX 5090 D suggest that its peak performance is much higher, and the average score may be dragged down by legacy benchmarks. The CPU's nearest rivals are all within 0.3% of its score, showing that the i3-14100 is a typical entry-level part.

Ultimately, the bottleneck analysis shows that the CPU limits the system in CPU-intensive tasks, while the GPU excels in GPU-intensive tasks. The system is best suited for 4K gaming and GPU-accelerated content creation, where the CPU's limitations are less impactful. For 1080p gaming or CPU-heavy workloads, this is a poorly balanced build. The data suggests that anyone considering this system should be aware that the CPU is the weak link, and a stronger CPU would be a better match for the RTX 5090 D.