SYSTEM ANALYZER

Rate My PC: Intel Core i5-13400T + NVIDIA GeForce RTX 5090 D

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

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
CPU Bottleneck
CPU
76%
VS
GPU
98%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i5-13400T

5,210 Benchmark Score
Top 24% 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
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.

Bottleneck Detected

CPU Bottleneck - Upgrading the weaker component will improve overall performance.

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 i5-13400T + NVIDIA GeForce RTX 5090 D

This pairing combines a 35 W energy-efficient desktop processor with NVIDIA’s flagship Blackwell GPU, creating a system where the CPU’s 60th percentile standing and the GPU’s 92nd percentile standing produce a combined 76th percentile build. The data in this report is derived from synthetic benchmark scores only; no measured FPS rows exist for this exact combination, so all frame-rate discussion is estimated from the CPU and GPU benchmark results.

CPU Analysis

The Intel Core i5-13400T is a 10-core, 16-thread Raptor Lake-S processor built on Intel’s 10 nm process with a 215 mm² die size. It operates at a base clock of 1300 MHz and boosts to 4.40 GHz, with a 35 W TDP that classifies it as an energy-efficient desktop part. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 20 MB of shared L3 cache, which supports both DDR4 and DDR5 memory through a dual-channel memory bus.

Benchmark results show a processor that punches above its power envelope. In Cinebench R23, the CPU scores 17,029 multi-core and 2,404 single-core. The multi-core figure places it in the 60th percentile of all CPUs, with an average benchmark score of 5,210. Its nearest rivals include the Intel Xeon E-2378G at 5,199 (0.2% slower), the Intel Core i9-10850K at 5,240 (0.6% slower), and the Intel Core i7-11700B at 5,241 (0.6% slower). These margins are tight—within a single percentage point—meaning the 13400T trades blows with older high-end desktop chips while drawing a fraction of their power.

Geekbench scores of 10,227 multi-core and 1,899 single-core reinforce the picture of a balanced mid-range performer. The 16 threads handle heavily threaded workloads like video encoding and software compilation with competence, while the 4.40 GHz boost clock keeps single-threaded tasks responsive. The integrated UHD Graphics 730 provides basic display output capability, though the discrete GPU in this build renders that function moot. For real-world workloads, the data suggests the CPU can sustain multi-threaded rendering tasks—Cinebench R20 multi-core at 7,152 and R15 multi-core at 1,716—without becoming a bottleneck for most productivity applications, though its 10-core configuration will lag behind 16-core or higher parts in heavily parallelized tasks.

Upgrade Path and Platform

The Intel Socket 1700 platform anchors this build, with the CPU supporting PCIe Gen 5 across 20 lanes. Memory flexibility is a key strength: the 13400T supports both DDR4 and DDR5, allowing builders to choose between cost-effective DDR4 or higher-bandwidth DDR5 modules. The dual-channel memory bus means two DIMMs are optimal for bandwidth, though the exact memory bandwidth figure is not provided in the data.

The GPU occupies a PCIe 5.0 x16 slot, which is fully compatible with the CPU’s PCIe Gen 5 lanes, though the CPU provides 20 lanes total—enough for a single GPU plus one or two NVMe drives. For storage, the platform supports modern Gen 5 SSDs, but users with Gen 4 drives will see no penalty in typical workloads. The CPU’s 35 W TDP leaves substantial power headroom in the system’s overall budget, but the GPU’s 575 W TDP and 950 W suggested PSU dominate the power requirements. A sensible next upgrade would be a stronger CPU on the same socket, such as a higher-core-count Raptor Lake part, which would better match the GPU’s raw compute output in CPU-bound scenarios. The 13400T’s locked multiplier prevents overclocking, so users seeking extra CPU performance must upgrade the processor itself rather than tuning clocks.

Benchmark Performance

The CPU delivers a 60th percentile standing among all processors, with an average benchmark score of 5,210. Its closest competitors are separated by less than one percent: the Xeon E-2378G trails by 0.2%, while the Core i9-10850K and Core i7-11700B both sit 0.6% behind, and the Core i5-14401E is 0.8% ahead. This clustering indicates the 13400T sits at a performance plateau where minor architectural differences matter more than generational leaps.

The GPU, by contrast, dominates its percentile ranking. The RTX 5090 D scores 14,326 in 3DMark Steel Nomad DX12, 310,674 in Geekbench OpenCL, and 376,915 in Geekbench Vulkan. Its Passmark G3D score of 44,065 and GPU compute score of 28,396 place it in the 92nd percentile of all GPUs, with an average benchmark score of 77,712. Its nearest rivals are mobile and datacenter parts: the AMD Radeon RX 6650M XT is 1.1% slower, while the RX 6850M XT is 1.6% faster, and the Tesla P100 variants are 2.1% to 2.4% faster. These deltas are small, but the RTX 5090 D’s desktop-class design and 32 GB VRAM set it apart in sustained workloads.

The combined picture shows a system where the GPU is the dominant performer—its 92nd percentile vastly exceeds the CPU’s 60th percentile. The combined percentile of 76 reflects a build that is GPU-limited in most scenarios. Estimated FPS in games would be high at any resolution, but the CPU’s single-core score of 2,404 in Cinebench R23 and 1,899 in Geekbench suggests frame rates in CPU-bound titles may cap below what the GPU could otherwise deliver.

Who Should Build It

This system targets users who prioritize GPU compute over CPU throughput. Gamers at 4K resolution will see the RTX 5090 D’s 32 GB VRAM and 1.79 TB/s bandwidth absorb massive texture loads and high-resolution rendering, with the CPU’s 60th percentile standing sufficient to feed the GPU at higher resolutions where frame rates are less CPU-dependent. Content creators working with video editing or 3D rendering software will benefit from the GPU’s 104.8 TFLOPS FP32 throughput, though CPU-bound stages of their pipelines will run at mid-range levels. Software developers compiling large codebases will find the 10-core, 16-thread CPU adequate but not exceptional; the 7,152 Cinebench R20 multi-core score indicates reasonable parallel compilation throughput. Students and small business users running office applications, web browsing, and productivity suites will find the system vastly over-provisioned—the CPU’s single-core performance handles these tasks with ease, and the GPU idles through such workloads. The build is less suitable for users needing extreme CPU multi-threading, such as 8K video encoding or massive physics simulations, where the 13400T’s 10 cores would lag behind 16-core alternatives.

FAQ

Q: What is the combined percentile of this CPU+GPU pairing?

A: The combined percentile is 76, reflecting a system where the GPU (92nd percentile) outpaces the CPU (60th percentile).

Q: Does this CPU support overclocking?

A: No, the multiplier is locked, so the 13400T cannot be overclocked.

Q: What memory types are compatible with the i5-13400T?

A: The CPU supports both DDR4 and DDR5 memory through a dual-channel bus.

Q: How much VRAM does the RTX 5090 D have, and what is its memory type?

A: The GPU has 32 GB of GDDR7 memory on a 512-bit bus, providing 1.79 TB/s bandwidth.

Q: What is the TDP of the CPU and the GPU, and what PSU is suggested?

A: The CPU has a 35 W TDP, the GPU has a 575 W TDP, and the suggested PSU is 950 W.

Q: Which CPU scores are closest to the 13400T in average benchmark performance?

A: The Intel Xeon E-2378G (0.2% slower), Intel Core i9-10850K (0.6% slower), and Intel Core i7-11700B (0.6% slower) are the nearest rivals.

Q: What is the release date of each component?

A: The CPU was released on January 3, 2023, and the GPU was released on January 29, 2025.

GPU Analysis

The NVIDIA GeForce RTX 5090 D is a Blackwell 2.0 architecture GPU built on TSMC’s 5 nm process, featuring 92,200 million transistors on a 750 mm² die. It operates with a base clock of 2017 MHz and a boost clock of 2407 MHz, with memory running at 1750 MHz (28 Gbps effective). The 32 GB GDDR7 memory on a 512-bit bus provides 1.79 TB/s of bandwidth, which is essential for high-resolution textures and large dataset rendering.

The GPU’s compute resources are substantial: 21,760 shading units, 680 TMUs, and 176 ROPs. It includes 170 RT cores and 680 tensor cores, enabling hardware-accelerated ray tracing and AI-driven features like DLSS. Pixel rate reaches 423.6 GPixel/s, texture rate hits 1,636.8 GTexel/s, and FP32 throughput is 104.8 TFLOPS, with FP16 at the same 104.8 TFLOPS (1:1 ratio). These figures translate to exceptional rasterization and compute performance. In 3DMark Steel Nomad DX12, the card scores 14,326, while Geekbench Vulkan shows 376,915 and OpenCL shows 310,674. Passmark G3D confirms the GPU’s tier with 44,065 points, and GPU compute reaches 28,396.

The 92nd percentile standing among all GPUs places it near the top of the performance hierarchy, with nearest rivals being mobile and datacenter parts. For rendering workloads, the 104.8 TFLOPS FP32 throughput means the GPU can handle complex 3D scenes, ray-traced lighting, and AI-accelerated denoising with substantial headroom. The 32 GB VRAM supports massive texture arrays and multi-scene compositions without spillover, while the 1.79 TB/s bandwidth feeds the 21,760 shading units efficiently. The dual-slot design with a 304 mm length and 1x 16-pin power connector requires a 950 W PSU as suggested.

Balance and Bottleneck

The data clearly indicates a GPU-heavy imbalance. The RTX 5090 D’s 92nd percentile vastly exceeds the 13400T’s 60th percentile, meaning the CPU is the limiting factor in most workloads. In gaming, estimated FPS will be governed by the CPU’s single-thread performance (2,404 in Cinebench R23, 1,899 in Geekbench) at lower resolutions, while at higher resolutions the GPU’s rendering load increases and the CPU bottleneck diminishes. The GPU’s 32 GB VRAM and 1.79 TB/s bandwidth are far beyond what the CPU can feed in CPU-bound scenarios, such as physics calculations or game logic updates.

In productivity workloads, the bottleneck shifts depending on the task. Video editing with GPU-accelerated effects will leverage the GPU’s 104.8 TFLOPS, but timeline scrubbing and encoding stages that rely on CPU threads (16 available) will cap at mid-range levels. 3D rendering with GPU-accelerated engines like Blender Cycles or Octane will heavily favor the GPU, while CPU-based rendering will underperform relative to the GPU’s capability. The 35 W CPU TDP versus 575 W GPU TDP illustrates the power asymmetry; the CPU consumes minimal power while the GPU dominates, meaning the 950 W suggested PSU provides ample headroom for both components plus peripherals. The CPU’s PCIe Gen 5 lanes (20 total) match the GPU’s PCIe 5.0 x16 interface, so interconnect bandwidth is not a bottleneck, but the CPU’s dual-channel memory bus may limit data throughput in memory-intensive compute tasks.

Build Overview

This is a desktop-class build pairing Intel’s Core i5-13400T with NVIDIA’s GeForce RTX 5090 D. The CPU is a 13th-generation Raptor Lake part with 10 cores and 16 threads, designed for energy efficiency with a 35 W TDP. The GPU is a 50-series Blackwell flagship with 32 GB GDDR7 memory and a 575 W TDP, representing the pinnacle of consumer graphics hardware. The combined 76th percentile places this build above the majority of systems, but the gap between the GPU’s 92nd percentile and the CPU’s 60th percentile defines its character: a GPU-monster paired with a modest mid-range processor.

The launch MSRP for the CPU is $221, and the GPU’s launch MSRP is 2,299 USD. The socket 1700 platform supports both DDR4 and DDR5 memory, and the PCIe 5.0 x16 GPU interface ensures full bandwidth utilization. The build class is desktop, indicating a stationary system with upgrade potential. Overall, this pairing is best described as a GPU-first workstation or high-end gaming rig where the graphics card is the star and the CPU handles supporting duties without drawing excessive power or generating excessive heat.

Usage Scenarios

High-refresh gaming: The RTX 5090 D’s 92nd percentile ensures extremely high frame rates at 1080p and 1440p, but the CPU’s 60th percentile may limit maximum FPS in esports titles. At 4K, the GPU’s 32 GB VRAM and 1.79 TB/s bandwidth can sustain ultra settings with ray tracing enabled, with estimated FPS limited primarily by the CPU’s single-thread score of 2,404 in Cinebench R23.

Streaming: The GPU’s 680 tensor cores enable hardware-accelerated encoding and AI-enhanced streaming features, while the CPU’s 16 threads handle stream encoding software if needed. The 104.8 TFLOPS compute capacity ensures the GPU can render and encode simultaneously without dropping frames.

Video editing: GPU-accelerated effects and color grading will run at exceptional speeds, with the 32 GB VRAM handling 8K timelines and multiple layers. CPU-based tasks like export encoding will benefit from the 10-core, 16-thread configuration, scoring 17,029 in Cinebench R23 multi-core, but will not match the GPU’s throughput.

3D rendering: GPU render engines will saturate the 21,760 shading units, producing high-quality output faster than most systems. The 104.8 TFLOPS FP32 and 1,636.8 GTexel/s texture rate make this a professional-grade renderer, though CPU-based rendering will be slower relative to the GPU’s capability.

Software development: Compilation tasks will leverage the 16 threads, with Geekbench multi-core of 10,227 indicating reasonable parallel build performance. The CPU’s 60th percentile means large codebases compile adequately, but developers needing faster iteration should consider a higher-core CPU.

Student and office work: This system is vastly over-powered for document editing, web browsing, and spreadsheet tasks. The CPU’s single-core performance (1,899 Geekbench) handles these with ease, while the GPU idles, drawing minimal power relative to its 575 W TDP when under load.