SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900TE + NVIDIA GeForce RTX 5090

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
77%
VS
GPU
98%

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

PROCESSOR

Intel Core i9-13900TE

5,342 Benchmark Score
Top 23% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090

79,842 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

Balance and Bottleneck

The pairing of an Intel Core i9-13900TE with an NVIDIA GeForce RTX 5090 creates a significant imbalance in raw compute capacity, but the bottleneck direction is not uniform across workloads. The CPU sits at the 60th percentile among all processors, while the GPU commands the 92nd percentile among all graphics cards. This 32-percentage-point gap in relative standing is the first clue that the RTX 5090 will frequently be waiting on the i9-13900TE in lightly threaded or latency-sensitive tasks.

The CPU's 24 cores and 32 threads with a 35 W TDP tell a story of a power-constrained design. The base clock of 1000 MHz is exceptionally low, and even the 5.00 GHz boost clock cannot fully compensate for the thermal and power envelope in sustained multi-core loads. In Cinebench R23, the CPU scores 18,472 multi-core and 2,607 single-core. The multi-core result is respectable for a 35 W part, but the single-core score of 2,607 reveals that even a single thread cannot reach the heights of higher-TDP desktop parts. This creates a situation where the RTX 5090, which can generate frames at extremely high rates, will often outpace the CPU's ability to feed it draw calls in CPU-bound scenarios.

The GPU's 575 W TDP versus the CPU's 35 W TDP is a stark contrast. The RTX 5090 is designed to be the dominant component in any system, and the i9-13900TE is engineered for efficiency rather than raw throughput. In GPU-bound workloads — such as 4K gaming, 3D rendering, or compute-heavy tasks — the CPU will not be the limiting factor. The GPU's 104.8 TFLOPS of FP32 performance and 1.79 TB/s of memory bandwidth will be the primary drivers of performance. However, in CPU-bound scenarios like 1080p esports gaming or physics simulations, the i9-13900TE's modest single-core performance and low base clock will create a bottleneck that the RTX 5090 cannot overcome.

The FPS scaling evidence, while not measured for this exact combination, can be inferred from the component percentiles. At lower resolutions where frame rates rise, the CPU's 60th percentile standing will become increasingly restrictive. At higher resolutions where the GPU's 92nd percentile position dominates, the system will perform closer to the GPU's potential. The data suggests that the balance point is skewed heavily toward GPU-bound workloads, and users seeking maximum frame rates at 1080p will likely see the CPU as the limiting factor.

Benchmark Performance

The CPU's average benchmark score is 5,342, placing it at the 60th percentile of all CPUs. Its nearest rivals include the Intel Core i9-10900KF with an average score of 5,316 (0.5% slower), the AMD EPYC 7281 at 5,315 (0.5% slower), the AMD Ryzen Threadripper 1920X at 5,306 (0.7% slower), and the Intel Core i9-9900X at 5,301 (0.8% slower). These deltas are small, indicating that the i9-13900TE is closely matched with these older high-end desktop parts despite its much lower TDP. In Cinebench R23, the CPU achieves 18,472 multi-core and 2,607 single-core; in R20, it scores 7,758 multi-core and 1,094 single-core; and in R15, it scores 1,861 multi-core and 262 single-core.

The GPU's average benchmark score is 79,842, placing it at the 92nd percentile of all GPUs. Its nearest rivals include the NVIDIA Tesla P100 PCIe 16 GB at 79,605 (0.3% slower), the NVIDIA Tesla P100 PCIe 12 GB at 79,396 (0.6% slower), the AMD Radeon RX 6850M XT at 78,940 (1.1% slower), and the AMD Radeon Pro Vega 64X at 80,959 (1.4% faster). These tight margins indicate that the RTX 5090's average score is competitive with professional-grade compute cards, though its gaming-specific strengths are better captured by dedicated graphics benchmarks.

In 3DMark Steel Nomad DX12, the GPU scores 18,355; in Geekbench OpenCL, it scores 334,370; and in Geekbench Vulkan, it scores 376,728. Passmark results show a G3D score of 39,650, a GPU compute score of 26,756, and DirectX 12 performance at 185. The combined percentile for this CPU+GPU pairing is 76, which places the system in the upper quarter of all desktop configurations. The combined picture is one of a GPU that vastly outperforms the CPU in relative terms, making this a system where the graphics card is the clear performance leader and the CPU serves as a competent but not exceptional partner.

GPU Analysis

The NVIDIA GeForce RTX 5090 is built on the Blackwell 2.0 architecture using TSMC's 5 nm process. The GB202 chip contains 92,200 million transistors on a 750 mm² die, with a transistor density of 122.9 million per square millimeter. The GPU has 21,760 shading units, 680 texture mapping units, and 176 raster output units. It includes 170 RT cores and 680 tensor cores, making it a formidable platform for ray tracing and AI-accelerated workloads.

Memory configuration is a standout feature: 32 GB of GDDR7 on a 512-bit bus delivers 1.79 TB/s of bandwidth. This is a massive amount of memory bandwidth that supports high-resolution textures and large datasets in compute workloads. The memory clock runs at 1750 MHz with 28 Gbps effective speed. The base clock is 2017 MHz with a boost clock of 2407 MHz. The pixel rate is 423.6 GPixel/s, and the texture rate is 1,636.8 GTexel/s. FP32 performance is rated at 104.8 TFLOPS, with FP16 matching at 104.8 TFLOPS (1:1).

The benchmark scores reflect the GPU's capabilities. The 3DMark Steel Nomad DX12 score of 18,355 indicates strong DirectX 12 rasterization performance. The Geekbench OpenCL score of 334,370 and Vulkan score of 376,728 suggest excellent compute and cross-platform API performance. Passmark G3D at 39,650 and GPU compute at 26,756 further confirm the GPU's compute prowess. For rendering workloads, the 170 RT cores provide dedicated hardware for ray tracing, while the 680 tensor cores accelerate DLSS and other AI-based features. The 32 GB VRAM is particularly relevant for 3D rendering, where large scenes and high-resolution textures can exhaust smaller memory pools. The 1.79 TB/s bandwidth ensures that data can be fed to the shaders without becoming a constraint.

The GPU's 92nd percentile ranking places it among the top tier of graphics cards. Its nearest rivals are professional and workstation cards like the Tesla P100 variants, which indicates that the RTX 5090's compute performance is comparable to data-center hardware while offering superior gaming features. The 575 W TDP and suggested 950 W PSU confirm that this is a power-hungry component that requires a robust power supply and adequate cooling.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. ECC memory is supported, which is a notable feature for workstation use cases. The CPU provides PCIe Gen 5 with 16 lanes from the processor. The integrated UHD Graphics 770 provides a fallback display output if the discrete GPU is removed or fails.

The RTX 5090 uses a PCIe 5.0 x16 interface, which is fully compatible with the CPU's PCIe Gen 5 lanes. This ensures that the GPU can run at full bandwidth without interface limitations. The GPU requires a 575 W TDP and suggests a 950 W power supply. The CPU's 35 W TDP is negligible by comparison, so the PSU headroom is primarily dictated by the GPU's demands. A system with this pairing would need a PSU that can deliver sustained power to the RTX 5090, especially during peak loads in gaming or compute workloads. The 950 W suggested PSU provides approximately 375 W of headroom beyond the GPU's TDP, which is sufficient for the CPU, motherboard, memory, storage, and other peripherals.

A sensible next upgrade path would focus on the CPU, as the GPU is already at the top of its class. The Socket 1700 platform supports 13th-generation Core processors, and users could move to a higher-TDP 13th-gen part with higher base clocks for better single-threaded performance. However, the 35 W TDP of the current CPU means the cooling solution and motherboard VRM design may not be optimized for a higher-TDP processor. Alternatively, a platform upgrade to a newer socket with PCIe Gen 5 support and DDR5 memory would be a more comprehensive solution, but the current platform's support for DDR5 and PCIe Gen 5 already provides a solid foundation. The GPU's 32 GB VRAM and 1.79 TB/s bandwidth would remain relevant for several generations, making the CPU the more likely upgrade target in the near term.

CPU Analysis

The Intel Core i9-13900TE is a 24-core, 32-thread processor based on the Raptor Lake architecture (Raptor Lake-S codename) built on Intel's 10 nm process. The die size is 257 mm². The base clock is 1000 MHz with a boost clock of 5.00 GHz. The 35 W TDP is exceptionally low for a 24-core part, indicating a heavily power-limited design intended for compact or thermally constrained systems. The multiplier is locked, so overclocking is not possible.

Cache configuration includes 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 36 MB of shared L3 cache. This is a substantial cache hierarchy that helps mitigate the low base clock in some workloads. Memory support includes both DDR4 and DDR5 in dual-channel mode, with ECC support enabled. The CPU provides 16 PCIe Gen 5 lanes, which is sufficient for a single high-end GPU and one or two NVMe drives. The integrated UHD Graphics 770 provides basic display capabilities.

In Cinebench R23, the CPU scores 18,472 multi-core and 2,607 single-core. The multi-core score of 18,472 is competitive with older high-end desktop parts like the Intel Core i9-10900KF, which has an average benchmark score that is only 0.5% lower. However, the single-core score of 2,607 is more modest, reflecting the low base clock and power limits. In Cinebench R20, the CPU scores 7,758 multi-core and 1,094 single-core; in R15, it scores 1,861 multi-core and 262 single-core. These results indicate that the CPU's multi-threaded performance is surprisingly strong given the 35 W TDP, but single-threaded performance is limited.

For real workloads, this means the CPU excels in multi-threaded tasks that can utilize all 24 cores, such as video encoding, 3D rendering, and software compilation. The low base clock will be a disadvantage in lightly threaded tasks like web browsing, office applications, and some games that rely on high single-thread performance. The 32 threads provide good parallel throughput, but the 1000 MHz base clock means that idle or lightly loaded cores will run at very low frequencies, potentially causing latency in interactive workloads. The boost clock of 5.00 GHz helps when only a few cores are active, but sustained all-core boosts will be limited by the power envelope.

Usage Scenarios

High-refresh gaming: At 1080p or 1440p with high refresh rates, the CPU's 60th percentile ranking and single-core score of 2,607 in Cinebench R23 will likely bottleneck the GPU. The RTX 5090's 92nd percentile ranking and 104.8 TFLOPS of FP32 performance can generate frames faster than the CPU can feed it, especially in CPU-bound titles. Users should expect frame rates limited by the CPU in this scenario.

Streaming: The GPU's 680 tensor cores and 170 RT cores provide hardware acceleration for encoding and AI-based features like DLSS. The CPU's 24 cores and 32 threads can handle streaming workloads alongside gaming, though the low base clock may cause occasional hitches in CPU-heavy games. The 32 GB VRAM on the GPU ensures that encoding buffers and game textures do not compete for memory.

Video editing: The CPU's multi-core score of 18,472 in Cinebench R23 provides solid performance for video encoding and rendering. The GPU's 104.8 TFLOPS of FP32 and FP16 performance accelerates effects, transitions, and color grading. The 32 GB VRAM and 1.79 TB/s bandwidth allow for smooth scrubbing of high-resolution footage. This is a capable setup for 4K video editing, with the GPU handling most of the heavy lifting.

3D rendering: The GPU's 170 RT cores accelerate ray-traced rendering, while the 32 GB VRAM can hold large scenes and textures. The 3DMark Steel Nomad score of 18,355 and Geekbench OpenCL score of 334,370 indicate strong compute performance for rendering engines that leverage GPU acceleration. The CPU's 24 cores provide adequate CPU-side geometry processing, though the low base clock may slow down viewport interaction.

Software development: The CPU's 32 threads and 36 MB of L3 cache are well-suited for compiling large codebases. The multi-core score of 18,472 in Cinebench R23 indicates that parallel compilation will be efficient. The GPU's compute performance can accelerate machine learning training and inference tasks. The ECC memory support is a benefit for long-running builds and data integrity.

Student and office work: This is massive overkill for typical student or office workloads. The CPU's low base clock will not hinder document editing, web browsing, or spreadsheets, but the 575 W GPU TDP and 950 W suggested PSU make this an impractical system for general office use. The integrated UHD Graphics 770 provides a low-power alternative, but the discrete GPU's power draw is a constant consideration.

Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination. The FACT PACK contains no measuredFps data, so all frame rate discussions are estimated from the benchmark scores. The RTX 5090's 92nd percentile ranking and 104.8 TFLOPS of FP32 performance indicate that it is capable of extremely high frame rates at 1440p and 4K resolutions in most titles. The 32 GB VRAM and 1.79 TB/s bandwidth support high-resolution textures and ray tracing without memory-related stutters.

At 4K resolution, the GPU will be the primary determinant of performance, and the CPU's 60th percentile ranking will be less relevant. The 3DMark Steel Nomad DX12 score of 18,355 suggests strong DirectX 12 performance, and the Geekbench Vulkan score of 376,728 indicates good Vulkan support. Users can expect the GPU to deliver high frame rates in AAA titles at 4K with ultra settings, with ray tracing enabled where supported.

At 1440p, the frame rates will be even higher, but the CPU may start to become a limiting factor in CPU-bound games. The single-core score of 2,607 in Cinebench R23 suggests that games with heavy physics or AI calculations may see reduced frame rates compared to systems with higher single-thread performance. At 1080p, the CPU bottleneck will be more pronounced, and users may not see the full benefit of the RTX 5090's capabilities.

The lack of measured FPS data means these estimates carry uncertainty. The benchmark scores provide a reliable indication of relative performance, but actual gaming performance depends on game optimization, driver quality, and system configuration. Users should expect the GPU to be the dominant factor at 1440p and 4K, with the CPU becoming more relevant at 1080p.

FAQ

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

A: The combined percentile is 76, placing the system in the upper quarter of all desktop configurations.

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

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

Q: What is the CPU's TDP and how does it compare to the GPU's TDP?

A: The CPU has a 35 W TDP, while the GPU has a 575 W TDP. The GPU's power draw is over 16 times higher than the CPU's.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900TE supports ECC memory, which is beneficial for workstation and data integrity use cases.

Q: What is the GPU's launch MSRP?

A: The launch MSRP is 1,999 USD.

Q: Which workloads will be limited by the CPU?

A: CPU-bound workloads like 1080p gaming with high frame rates, single-threaded applications, and interactive tasks will be limited by the CPU's 60th percentile ranking and single-core score of 2,607 in Cinebench R23.

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

A: The suggested PSU wattage is 950 W, based on the GPU's 575 W TDP and the CPU's 35 W TDP.

Who Should Build It

This system is best suited for users who prioritize GPU-bound workloads and can tolerate a CPU that lags behind the GPU in relative performance. Gamers targeting 4K resolution with ultra settings and ray tracing will benefit from the RTX 5090's 92nd percentile ranking and 32 GB VRAM. Content creators working with 3D rendering, video editing, or machine learning will leverage the GPU's 170 RT cores, 680 tensor cores, and 104.8 TFLOPS of compute performance. The CPU's 24 cores and 32 threads provide sufficient multi-threaded throughput for video encoding and compilation, though the low base clock may be a minor annoyance.

Software developers who rely on parallel compilation and run AI workloads will find the CPU's 32 threads and the GPU's compute capabilities useful. Students and small business users should avoid this configuration unless they have specific GPU-intensive requirements, as the 575 W GPU TDP and 950 W suggested PSU make it impractical for general office work. The system is also suitable for researchers or professionals who need the GPU's 32 GB VRAM for large datasets, such as those working with scientific simulations or high-resolution imagery.

The i9-13900TE is a niche CPU, designed for power-constrained embedded or compact systems. Pairing it with the RTX 5090 creates an unusual balance where the GPU is clearly the dominant component. Users who build this system should be aware that the CPU will limit performance in some scenarios, particularly at lower resolutions or in CPU-bound games. For users who want a more balanced system, a higher-TDP CPU on the same socket would be a better match for the RTX 5090.

Build Overview

This build pairs the Intel Core i9-13900TE, a 24-core, 32-thread Raptor Lake processor with a 35 W TDP, with the NVIDIA GeForce RTX 5090, a Blackwell 2.0 architecture GPU with 32 GB of GDDR7 memory and a 575 W TDP. The build class is desktop, and the combined percentile is 76. The GPU's 92nd percentile ranking dominates the system's overall performance profile, while the CPU's 60th percentile ranking places it in the middle of the pack.

This is a desktop configuration that emphasizes GPU performance above all else. The RTX 5090 is among the top 8% of all GPUs, while the i9-13900TE sits at the 60th percentile of CPUs. The system is tiered as an upper-mid-range to high-end desktop, with the GPU providing the bulk of the performance. The CPU's low TDP makes it suitable for compact builds, but the GPU's size (304 mm length, 137 mm height, 40 mm width) and power requirements demand a full-sized case and robust cooling. The overall tier is high, driven almost entirely by the GPU's exceptional compute and memory performance.