SYSTEM ANALYZER

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

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

86 / 100
HIGH-END

Power Build

Top 14% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
83%
VS
GPU
90%
PROCESSOR

Intel Core i3-14100T

17,648 Benchmark Score
Top 17% 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
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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

# Intel Core i3-14100T + NVIDIA GeForce RTX 5090 D V2 — Database Analysis

This pairing combines a low-power, 4-core Intel desktop processor with a flagship-tier NVIDIA GPU built on the Blackwell 2.0 architecture, creating an unusual configuration where the CPU’s modest multi-threaded throughput sits alongside one of the most powerful graphics cards available. The data shows a combined percentile of 65 across all CPU and GPU benchmarks, with the CPU landing at the 71st percentile among all processors and the GPU at the 59th percentile among all graphics cards — a pairing that is far more interesting for its GPU headroom than for its CPU muscle.

Usage Scenarios

High-refresh gaming — The RTX 5090 D V2 delivers a 3DMark Steel Nomad DX12 score of 16504, which places it in the upper tier of graphics performance, though its 59th percentile rank indicates that several GPUs outperform it in this specific test. For 1080p and 1440p high-refresh gaming, the CPU’s single-thread score of 3498 in Passmark suggests adequate responsiveness, but the 4-core/8-thread configuration may limit frame pacing in titles that scale beyond four threads. The data does not include measured FPS values for this exact combination, so all gaming estimates are derived from benchmark scores.

Streaming — The CPU’s Passmark multithread score of 13662 is modest for simultaneous gaming and encoding workloads, while the GPU’s 680 tensor cores and 170 RT cores provide hardware-accelerated encoding and decoding capabilities that can offload much of the streaming burden. The GPU’s 24 GB of GDDR7 memory with 1.34 TB/s bandwidth offers substantial headroom for encoding buffers and overlays, but the CPU’s 4-core design may still struggle with chat, overlays, and game logic simultaneously.

Video editing — The CPU’s Cinebench R23 multicore score of 11612 indicates it can handle 1080p timeline editing and light 4K proxy workflows, but the GPU’s 104.8 TFLOPS of FP32 compute and 1,636.8 GTexel/s texture rate suggest that GPU-accelerated effects, color grading, and rendering would be the primary strength. Export times in software that leverages GPU acceleration would benefit enormously from the RTX 5090 D V2, while CPU-bound codecs would expose the i3-14100T’s 4-core limitation.

3D rendering — The GPU’s 21,760 shading units and 680 TMUs make it a formidable renderer for GPU-accelerated engines like Blender Cycles or Octane, where the 104.8 TFLOPS FP32 throughput can dramatically reduce render times. The CPU’s Cinebench R23 multicore score of 11612 would only matter for CPU-based rendering or scene preparation, where it would be a clear bottleneck compared to higher-core-count alternatives. The 12 MB of shared L3 cache helps with smaller scene data but is not a substitute for additional cores.

Software development — The CPU’s Passmark data compression score of 152636 and integer math score of 40292 indicate reasonable performance for compilation of small-to-medium projects, though the 4-core/8-thread configuration will slow parallel builds. The GPU’s 680 tensor cores could accelerate machine learning workloads and local inference tasks, making this a viable setup for developers experimenting with AI models who also need strong graphics for visualization. The 16 PCIe Gen 5 lanes from the CPU provide ample bandwidth for the GPU’s PCIe 5.0 x16 interface.

Student and office work — The CPU’s 35 W TDP and 4.40 GHz boost clock make it an efficient processor for everyday productivity, word processing, spreadsheets, and web browsing, where the Passmark single-thread score of 3498 ensures snappy responsiveness. The GPU is massively overkill for this scenario, but the system would handle any office workload with ease, and the 24 GB VRAM could support large data visualization or CAD projects if needed. The dual-channel DDR4/DDR5 memory support adds flexibility for budget-conscious builds.

Benchmark Performance

The CPU’s average benchmark score of 17648 places it at the 71st percentile among all CPUs, with its nearest rival being the Intel Core i3-13100F at 17653 (0% difference), followed closely by the Intel Core i7-1255U at 17656 (0% difference) and the AMD Ryzen 3 8300GE at 17614 (0.2% faster). The AMD EPYC 9374F trails by 0.3% at 17693, showing that this i3-14100T punches well above its 4-core class in aggregate benchmarks, likely due to strong single-thread performance and efficient boost behavior.

In Cinebench R23, the CPU scores 11612 multicore and 1639 single-core, while in Cinebench R20 it achieves 4877 multicore and 688 single-core, with R15 results of 1170 multicore and 165 single-core. The Passmark suite shows a multithread score of 13662, single-thread of 3498, floating point math at 31379, integer math at 40292, extended instructions at 10414, and physics at 973. Data encryption scores 7881, random string sorting 15579, and find prime numbers 56.

The GPU’s only benchmark result is a 3DMark Steel Nomad DX12 score of 16504, which places it at the 59th percentile among all GPUs. Its nearest rivals are the NVIDIA T400 at 16508 (0% difference), AMD Radeon PRO W7500 at 16415 (0.5% faster), NVIDIA RTX PRO 6000 Blackwell at 16408 (0.6% faster), and AMD Radeon RX 5700 XT at 16361 (0.9% faster). This is a surprising result — the RTX 5090 D V2, despite its massive 92,200 million transistors and 750 mm² die, scores nearly identically to much older and less powerful GPUs in this particular DirectX 12 test, which may indicate driver optimization gaps or that the Steel Nomad benchmark does not fully stress the Blackwell architecture’s unique features.

The combined picture shows a system where the CPU is positioned above half of all processors, while the GPU sits just below the 60th percentile — a configuration that is neither clearly CPU-limited nor GPU-limited in aggregate, but rather one where the GPU’s theoretical compute capabilities are not fully reflected in this single benchmark metric.

Balance and Bottleneck

The data reveals a significant imbalance between the CPU and GPU in terms of raw compute potential. The CPU’s 4 cores and 8 threads with a 35 W TDP produce a Cinebench R23 multicore score of 11612, while the GPU’s 104.8 TFLOPS FP32 throughput and 575 W TDP represent a class of performance that historically pairs with much higher-core-count processors. In CPU-bound workloads like data compression (152636 Passmark score) or physics calculations (973 Passmark score), the i3-14100T will be the limiting factor for any application that scales beyond four threads.

Conversely, in GPU-bound workloads like 3D rendering, video encoding, or machine learning inference, the RTX 5090 D V2 dominates the system’s capability, and the CPU’s role diminishes to feeding data and issuing commands. The GPU’s 1.34 TB/s memory bandwidth and 423.6 GPixel/s pixel rate mean that any bottleneck in these workloads would come from the CPU’s ability to prepare draw calls and manage scene graphs, where the 4-core design and 12 MB L3 cache could introduce latency.

The 3DMark Steel Nomad score of 16504 for the GPU, when compared to the CPU’s 71st percentile ranking, suggests that the GPU is actually the weaker relative performer in this pairing — a reversal of typical expectations. This means that in balanced workloads, the GPU’s modest benchmark standing (59th percentile) may actually align better with the CPU’s capabilities than the GPU’s hardware specifications would imply. The 0.9% delta between the RTX 5090 D V2 and the AMD Radeon RX 5700 XT in this test suggests that the Steel Nomad benchmark may not capture the Blackwell GPU’s strengths, or that driver maturity is still developing.

For gaming, the 4-core CPU could bottleneck the GPU at lower resolutions where frame rates are high, but at 4K or with heavy ray tracing, the GPU’s 170 RT cores and 680 tensor cores would become the primary driver of performance. The estimated FPS (no measured data exists) would likely show the GPU as the dominant factor in most modern titles, with CPU limitations appearing in simulation-heavy games or those with poor multi-threaded optimization.

Who Should Build It

Gamers at 1440p and 4K — The RTX 5090 D V2’s 24 GB of GDDR7 memory and 1.34 TB/s bandwidth make it well-suited for high-resolution gaming with maximum texture detail, where the CPU’s 4-core design is less likely to bottleneck because the GPU is the limiting factor. At 1080p, the CPU’s Passmark single-thread score of 3498 suggests it can keep up with many titles, but the 4-core limitation may cause frame drops in modern multiplayer games that utilize more threads.

Content creators — Video editors and 3D artists who rely on GPU-accelerated rendering will benefit from the RTX 5090 D V2’s 104.8 TFLOPS FP32 compute and 1,636.8 GTexel/s texture rate, making this a viable workstation for tasks like After Effects, DaVinci Resolve, or Blender GPU rendering. The CPU’s 11612 Cinebench R23 multicore score is sufficient for light CPU tasks but would not be recommended for heavy CPU rendering.

Developers and researchers — The 680 tensor cores on the GPU provide substantial acceleration for machine learning training and inference, and the 24 GB VRAM can hold large model weights. The CPU’s 8 threads handle data preprocessing and orchestration, while the GPU does the heavy numerical work, making this a functional if unconventional AI development rig.

Small business workstations — For CAD, financial modeling, or data visualization, the GPU’s 24 GB VRAM and 104.8 TFLOPS compute can accelerate professional applications, while the CPU’s 35 W TDP keeps power costs low. The ECC memory support on the CPU (DDR4 and DDR5) adds reliability for long-running computations, and the 71st percentile CPU ranking ensures adequate general performance.

Students — The system’s gaming capability and compute performance make it a versatile machine for coursework, from engineering simulations to creative projects, though the cost of the GPU would be excessive for most academic needs. The CPU’s 4.40 GHz boost clock and 1639 Cinebench R23 single-core score handle everyday tasks smoothly.

CPU Analysis

The Intel Core i3-14100T is a 4-core, 8-thread processor built on the Raptor Lake architecture with a 10 nm process node from Intel, featuring a die size of 163 mm². Its base clock of 2.70 GHz boosts to 4.40 GHz, all within a 35 W TDP that makes it an efficient choice for compact desktop builds. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache, which at 4 cores provides a generous 3 MB of L3 per core — a configuration that benefits single-threaded performance.

The CPU’s benchmark scores show a processor that excels relative to its core count. The Cinebench R23 multicore score of 11612 is strong for a 4-core part, and the single-core score of 1639 reflects the 4.40 GHz boost clock’s effectiveness. The Passmark single-thread score of 3498 confirms this, while the multithread score of 13662 indicates that Hyper-Threading (8 threads) provides a meaningful uplift over 4 physical cores. The data compression score of 152636 and integer math score of 40292 suggest solid general-purpose compute, while the floating point score of 31379 shows capable but not exceptional FP performance.

The CPU supports DDR4 and DDR5 memory in dual-channel configuration, with ECC memory support for reliability-critical workloads. It provides 16 PCIe Gen 5 lanes from the CPU, which is fully utilized by the RTX 5090 D V2’s PCIe 5.0 x16 interface. The integrated UHD Graphics 730 provides basic display output and video decode capabilities, though the discrete GPU would handle all graphics tasks. The CPU’s 71st percentile ranking places it above most processors, with its nearest rival being the Intel Core i3-13100F at an identical average score of 17653 — a signal of the Raptor Lake Refresh’s efficiency.

The 10 nm process node and 163 mm² die size indicate a mature manufacturing process, and the lack of an unlocked multiplier means overclocking is not supported, though the 4.40 GHz boost is already competitive. The processor was released on 2024-01-07 and remains in active production, ensuring ongoing availability and platform support.

FAQ

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

A: The Intel Core i3-14100T has 4 cores and 8 threads, with a base clock of 2.70 GHz and a boost clock of 4.40 GHz, within a 35 W TDP.

Q: How does the GPU’s benchmark score compare to its nearest rivals?

A: The RTX 5090 D V2 scores 16504 in 3DMark Steel Nomad DX12, which is 0% different from the NVIDIA T400 (16508), 0.5% faster than the AMD Radeon PRO W7500 (16415), 0.6% faster than the NVIDIA RTX PRO 6000 Blackwell (16408), and 0.9% faster than the AMD Radeon RX 5700 XT (16361).

Q: What memory and PCIe support does the CPU offer?

A: The CPU supports dual-channel DDR4 and DDR5 memory with ECC capability, and provides 16 PCIe Gen 5 lanes from the CPU. The GPU uses a PCIe 5.0 x16 interface.

Q: What is the GPU’s memory configuration and bandwidth?

A: The GPU features 24 GB of GDDR7 memory on a 384-bit bus, with a bandwidth of 1.34 TB/s and an effective memory clock of 1750 MHz (28 Gbps).

Q: Is this pairing suitable for high-refresh gaming?

A: The CPU’s Passmark single-thread score of 3498 and the GPU’s 3DMark Steel Nomad score of 16504 suggest capability for high-refresh gaming, though the 4-core CPU may limit frame rates in multi-threaded titles. No measured FPS data exists for this exact combination.

Q: What are the CPU’s best and weakest benchmark areas?

A: The CPU’s strongest results are in data compression (152636 Passmark) and integer math (40292), while its weakest are in find prime numbers (56) and physics (973), indicating limited FP-heavy and simulation performance.

Q: What is the GPU’s transistor count and die size?

A: The GPU uses the GB202 chip with 92,200 million transistors on a 750 mm² die, manufactured on a 5 nm process by TSMC.

Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination, so the following frame rate expectations are estimates derived from the benchmark scores. The GPU’s 3DMark Steel Nomad DX12 score of 16504, while modest for its hardware class, still represents a capable graphics solution, and the CPU’s 3498 Passmark single-thread score indicates adequate per-core performance for most games.

At 1080p, the 4-core CPU would likely become the limiting factor in CPU-intensive titles such as strategy games or large multiplayer battles, where the 4.40 GHz boost clock helps but the 8 threads may not be enough for modern engines that scale to 6 or 8 cores. The GPU’s 176 ROPs and 423.6 GPixel/s pixel rate would still deliver high frame rates in less CPU-demanding games, but frame pacing could suffer in scenes with many draw calls.

At 1440p, the balance shifts toward the GPU, and the RTX 5090 D V2’s 24 GB VRAM and 1.34 TB/s bandwidth would allow maximum texture quality and anti-aliasing settings without VRAM limitations. Estimated frame rates would likely be very high in most titles, with the CPU rarely being the bottleneck at this resolution.

At 4K, the GPU becomes the clear determinant of performance, with the 104.8 TFLOPS FP32 compute providing substantial rasterization and ray tracing throughput. The 170 RT cores enable hardware-accelerated ray tracing, though the Steel Nomad score suggests that ray tracing performance may be somewhat below expectations for this GPU class. The 575 W TDP and suggested 950 W PSU indicate that power delivery is sufficient for sustained gaming loads.

The lack of measured FPS data means these estimates carry uncertainty, and the GPU’s 59th percentile ranking in Steel Nomad suggests that real-world gaming performance could be lower than the hardware specifications imply, potentially due to driver maturity or architectural trade-offs in the Blackwell 2.0 design.

Build Overview

This is a desktop build pairing the Intel Core i3-14100T, a 4-core/8-thread Raptor Lake processor with a 35 W TDP, with the NVIDIA GeForce RTX 5090 D V2, a Blackwell 2.0 architecture GPU with 24 GB GDDR7 memory and a 575 W TDP. The combined percentile of 65 across all benchmarks places this system in the upper-middle tier of all tested configurations, with the CPU contributing a 71st percentile ranking and the GPU a 59th percentile ranking.

The configuration is unusual because the GPU’s hardware specifications — 92,200 million transistors, 21,760 shading units, 104.8 TFLOPS FP32 — are far above what the CPU’s modest 4-core design would typically accompany. However, the benchmark data shows that the GPU’s actual performance in Steel Nomad is much closer to mid-range GPUs, which partially mitigates the CPU-GPU imbalance. The system’s overall tier, based on the 65th combined percentile, suggests it would handle most modern workloads competently, with strengths in GPU-accelerated tasks and weaknesses in CPU-bound multi-threaded work.

The build class is desktop, confirming this is a stationary, socketed configuration intended for gaming, content creation, or workstation use. The CPU’s 163 mm² die and 10 nm process, combined with the GPU’s 750 mm² die and 5 nm process, represent two very different manufacturing scales, yet the system operates as a single cohesive unit thanks to the PCIe 5.0 x16 connection.

Upgrade Path and Platform

The CPU uses Intel Socket 1700, which is compatible with Intel 12th, 13th, and 14th generation Core processors, providing a clear upgrade path to higher-core-count CPUs from the same platform. The motherboard must support DDR4 or DDR5 memory (the CPU supports both in dual-channel), and the 16 PCIe Gen 5 lanes from the CPU are fully utilized by the GPU’s PCIe 5.0 x16 interface, leaving no additional Gen 5 lanes for other devices — expansion would rely on chipset-provided lanes.

The CPU’s 35 W TDP is exceptionally low, meaning the existing power delivery and cooling solution would have substantial headroom for a more powerful CPU upgrade. The GPU’s 575 W TDP and the suggested 950 W PSU indicate that the power supply is sized for the GPU, so upgrading the CPU to a higher-TDP model (up to the platform’s maximum) would not require a PSU change. The GPU uses a single 16-pin power connector, and the suggested 950 W PSU provides ample capacity for both components under load.

A sensible next upgrade would be to replace the i3-14100T with a higher-core-count Raptor Lake processor on the same socket, which would improve the CPU’s Cinebench R23 multicore score (currently 11612) and Passmark multithread score (13662) while retaining the existing motherboard, memory, and GPU. The 12 MB L3 cache would be replaced with a larger pool on higher SKUs, benefiting cache-sensitive workloads. The GPU, at the 59th percentile, could also be upgraded, but the 24 GB VRAM and 1.34 TB/s bandwidth would remain competitive for several years.

Memory support for both DDR4 and DDR5 means the upgrade path includes either migrating to faster DDR5 modules or retaining existing DDR4, though the 35 W TDP CPU likely pairs with more modest memory configurations. The ECC memory support is preserved across the platform, which is valuable for workstation use.

GPU Analysis

The NVIDIA GeForce RTX 5090 D V2 is built on the Blackwell 2.0 architecture using the GB202 chip, manufactured on a 5 nm process by TSMC with 92,200 million transistors on a 750 mm² die, yielding a transistor density of 122.9 million per mm². It features 21,760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores, with base and boost clocks of 2017 MHz and 2407 MHz respectively. The memory subsystem consists of 24 GB of GDDR7 on a 384-bit bus, delivering 1.34 TB/s of bandwidth from a 1750 MHz memory clock (28 Gbps effective).

The GPU’s compute capabilities are substantial on paper: 104.8 TFLOPS of FP32 and FP16 (1:1) throughput, a pixel rate of 423.6 GPixel/s, and a texture rate of 1,636.8 GTexel/s. The 680 tensor cores provide AI acceleration, and the 170 RT cores handle ray tracing workloads. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, with display outputs of 1x HDMI 2.1b and 3x DisplayPort 2.1b.

However, the benchmark results tell a different story. The 3DMark Steel Nomad DX12 score of 16504 places the GPU at the 59th percentile, with near-identical scores from much less powerful GPUs like the NVIDIA T400 (16508) and AMD Radeon RX 5700 XT (16361). This suggests that either the Steel Nomad benchmark does not exercise the Blackwell architecture’s strengths, or that the GPU is being limited by other factors such as drivers, thermal constraints, or the specific workload characteristics of the test.

For rendering workloads, the 104.8 TFLOPS FP32 compute and 1,636.8 GTexel/s texture rate would translate to strong performance in GPU-accelerated renderers, where the massive shader count and high bandwidth are directly beneficial. The 24 GB VRAM is sufficient for large scenes, high-resolution textures, and multi-GPU rendering setups. The 680 tensor cores accelerate denoising, AI upscaling, and machine learning inference, making this GPU a versatile compute accelerator beyond just graphics.

The 575 W TDP and 950 W suggested PSU indicate substantial power requirements, and the dual-slot design with a 304 mm length requires a spacious case. The single 16-pin power connector simplifies cabling, and the PCIe 5.0 x16 interface ensures full bandwidth to the CPU. The GPU’s performance in the available benchmark is underwhelming relative to its specs, but the underlying hardware remains capable for compute-heavy tasks.