SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900TE + 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
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 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

# CPU Analysis

The Intel Core i9-13900TE is a 24-core, 32-thread desktop processor built on Intel's Raptor Lake architecture, fabricated on a 10 nm process. This is a 13th-generation Core i9 part with a Raptor Lake-S die measuring 257 mm². The base clock sits at 1000 MHz, with a boost clock reaching 5.00 GHz. Cache configuration includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB L3 cache. The chip supports both DDR4 and DDR5 memory through a dual-channel memory bus, and it includes ECC memory support. Integrated graphics are provided by UHD Graphics 770, and the CPU connects via PCIe Gen 5 with 16 lanes from the CPU itself.

The 35 W TDP is the defining characteristic here. This is an exceptionally low power envelope for a 24-core processor. The benchmark scores reflect this constraint. In Cinebench R23, the CPU scores 18,472 in multi-core and 2,607 in single-core. The single-core score of 2,607 is respectable, indicating that the 5.00 GHz boost clock does reach reasonable performance in lightly threaded tasks. The multi-core score of 18,472, however, shows the impact of the 35 W power limit — this is a chip that throttles under sustained all-core loads to stay within its thermal and power budget. The Cinebench R20 scores are 7,758 multi-core and 1,094 single-core, while R15 scores are 1,861 multi-core and 262 single-core.

The average benchmark score for this CPU is 5,342, placing it at the 60th percentile among all CPUs. The nearest rivals give context: the Intel Core i9-10900KF scores 5,316 (0.5% faster), the AMD EPYC 7281 scores 5,315 (0.5% faster), the AMD Ryzen Threadripper 1920X scores 5,306 (0.7% faster), and the Intel Core i9-9900X scores 5,301 (0.8% faster). This is a notable result — the i9-13900TE, despite having 24 cores and a modern architecture, lands within 1% of older high-end desktop and server chips from several generations back. The power constraint is the great equalizer. For real workloads, this means the CPU will handle everyday productivity, compilation tasks, and moderately threaded applications without complaint, but it will not sustain heavy multi-threaded rendering or simulation workloads at the level its core count suggests. The 35 W TDP makes it well-suited for compact or thermally constrained builds, but not for sustained all-core number crunching.

# Benchmark Performance

The CPU's average benchmark score of 5,342 places it at the 60th percentile against all CPUs. The GPU, by contrast, delivers an average benchmark score of 77,712, placing it at the 92nd percentile against all GPUs. The combined percentile for this pairing is 76. This gap — 60th percentile CPU paired with a 92nd percentile GPU — tells the story of this build. The GPU is the dominant performer, while the CPU is a mid-pack processor that happens to have an i9 badge.

Looking at the GPU benchmarks specifically: in 3DMark Steel Nomad DX12, the RTX 5090 D scores 14,326. Geekbench OpenCL yields 310,674, and Geekbench Vulkan yields 376,915. Passmark scores include 44,065 in G3D, 28,396 in GPU Compute, 1,487 in G2D, and lower DirectX scores (434 in DX9, 371 in DX11, 231 in DX10, 219 in DX12). The GPU's nearest rivals are interesting: the AMD Radeon RX 6650M XT scores 76,904 (1.1% faster), the AMD Radeon RX 6850M XT scores 78,940 (1.6% slower than the 5090 D), the NVIDIA Tesla P100 PCIe 12 GB scores 79,396 (2.1% slower), and the Tesla P100 PCIe 16 GB scores 79,605 (2.4% slower). These deltas are small — all within about 2.5% — which is surprising for a flagship desktop GPU. The benchmark average of 77,712 for the RTX 5090 D is in the same neighborhood as these mobile and data-center parts, suggesting that the 5090 D's raw compute in these specific tests is not dramatically ahead of older or lower-tier products.

The combined picture is a build where the GPU percentile exceeds the CPU percentile by 32 points. In CPU-bound workloads, the 35 W TDP processor will be the limiting factor. In GPU-bound tasks like high-resolution rendering or graphics compute, the 5090 D will stretch its legs. The data shows a lopsided pairing: a top-tier GPU held back by a power-constrained CPU in scenarios that depend on the processor.

# GPU Analysis

The NVIDIA GeForce RTX 5090 D is built on the Blackwell 2.0 architecture, using the GB202 chip fabricated on a 5 nm process at TSMC. The die contains 92,200 million transistors on a 750 mm² die, with a transistor density of 122.9 million per mm². Memory is 32 GB of GDDR7 on a 512-bit bus, providing 1.79 TB/s of bandwidth. The memory clock runs at 1750 MHz with 28 Gbps effective speed. The GPU has 21,760 shading units, 680 texture mapping units, and 176 raster output pipelines. Ray tracing is handled by 170 RT cores, and AI acceleration by 680 tensor cores.

Clock speeds are 2017 MHz base and 2407 MHz boost. Pixel rate is 423.6 GPixel/s, and texture rate is 1,636.8 GTexel/s. FP32 compute is 104.8 TFLOPS, with FP16 also at 104.8 TFLOPS (1:1 ratio). The card has a TDP of 575 W, uses a single 16-pin power connector, and is dual-slot with dimensions of 304 mm length, 137 mm height, and 48 mm width. Display outputs include 1x HDMI 2.1b and 3x DisplayPort 2.1b. The bus interface is PCIe 5.0 x16. The suggested PSU is 950 W. API support includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The benchmark scores for the RTX 5090 D show a strong but not dominant performer. The 3DMark Steel Nomad DX12 score of 14,326 indicates solid DX12 rasterization performance. The Geekbench Vulkan score of 376,915 is notably higher than the OpenCL score of 310,674, suggesting that the Vulkan driver path extracts more from the hardware. The Passmark G3D score of 44,065 is the headline figure, placing the GPU at the 92nd percentile. However, the Passmark DirectX scores are oddly low — 434 in DX9, 371 in DX11, 219 in DX12 — which may reflect driver overhead or test methodology rather than real-world gaming performance. The GPU compute score of 28,396 in Passmark and the Geekbench compute scores indicate strong compute throughput for rendering and AI workloads. The 32 GB of VRAM and 1.79 TB/s bandwidth make this card suitable for large datasets, high-resolution textures, and memory-intensive rendering tasks. The 170 RT cores and 680 tensor cores provide hardware acceleration for ray tracing and AI denoising, respectively. The launch MSRP is 2,299 USD.

# FAQ

Q: How does the i9-13900TE compare to its nearest CPU rivals?

A: The i9-13900TE has an average benchmark score of 5,342. The Intel Core i9-10900KF scores 5,316 (0.5% faster), the AMD EPYC 7281 scores 5,315 (0.5% faster), the AMD Ryzen Threadripper 1920X scores 5,306 (0.7% faster), and the Intel Core i9-9900X scores 5,301 (0.8% faster). All four rivals are within 0.8% of the i9-13900TE.

Q: What is the RTX 5090 D's percentile ranking, and who are its closest rivals?

A: The RTX 5090 D sits at the 92nd percentile among all GPUs. Its nearest rivals are the AMD Radeon RX 6650M XT (76,904 average, 1.1% faster), AMD Radeon RX 6850M XT (78,940, 1.6% slower), NVIDIA Tesla P100 PCIe 12 GB (79,396, 2.1% slower), and NVIDIA Tesla P100 PCIe 16 GB (79,605, 2.4% slower).

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900TE supports ECC memory. It also supports both DDR4 and DDR5 memory types through a dual-channel memory bus.

Q: What power supply is recommended for the RTX 5090 D?

A: The suggested PSU for the RTX 5090 D is 950 W. The GPU itself has a TDP of 575 W and uses a single 16-pin power connector.

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

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

Q: What is the CPU's cache configuration?

A: The i9-13900TE has 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache.

Q: Is the CPU overclockable?

A: No, the multiplier is not unlocked on the i9-13900TE. The base clock is 1000 MHz and the boost clock is 5.00 GHz.

# Who Should Build It

This pairing targets users who prioritize GPU-accelerated workloads over CPU-bound tasks. The RTX 5090 D, with its 32 GB VRAM and 1.79 TB/s bandwidth, is suited for content creators working with large 3D scenes, high-resolution video editing, or AI model training where the 680 tensor cores can accelerate mixed-precision workflows. The 104.8 TFLOPS of FP32 compute makes it suitable for scientific computing and rendering tasks that offload to the GPU. Gamers at 4K resolution will benefit from the GPU's bandwidth and VRAM, though the CPU's 60th percentile ranking means frame rates in CPU-limited titles will be constrained.

Developers writing CUDA or Vulkan applications will find the GPU's compute scores (310,674 OpenCL, 376,915 Vulkan in Geekbench) useful for parallel workloads. The 35 W TDP CPU makes this build attractive for small form factor or office environments where power and heat are concerns, provided the workload doesn't require sustained all-core CPU performance. Students and researchers working with GPU-accelerated frameworks like PyTorch or TensorFlow will appreciate the 32 GB VRAM, which allows larger batch sizes than typical 8-16 GB cards. Small business workstations that run GPU-optimized applications — CAD, video transcoding, or data visualization — will see strong performance in those specific tasks. However, users whose workflows are CPU-bound — heavy compilation, physics simulation, or multi-threaded rendering on the CPU — should look elsewhere, as the i9-13900TE's 5,342 average score places it in the middle of the pack despite its i9 branding.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFps rows for the Intel Core i9-13900TE paired with the NVIDIA GeForce RTX 5090 D. All frame rate figures discussed here are estimates based on the benchmark scores of each component, not measured results.

The GPU's 92nd percentile ranking and 3DMark Steel Nomad DX12 score of 14,326 suggest strong rasterization performance. The 32 GB GDDR7 memory and 1.79 TB/s bandwidth mean texture loading and high-resolution assets will not be bottlenecks at typical gaming resolutions. The CPU's 60th percentile ranking and single-core score of 2,607 in Cinebench R23 indicate that at 1080p, where the CPU often becomes the limiting factor, frame rates may be lower than the GPU alone could deliver. At 1440p and 4K, the GPU becomes the primary driver, and the RTX 5090 D's pixel rate of 423.6 GPixel/s and texture rate of 1,636.8 GTexel/s support high frame rates in GPU-bound scenarios.

The 170 RT cores provide hardware ray tracing acceleration, which will improve performance in titles that use RT effects. The 680 tensor cores enable DLSS-style upscaling, which can boost frame rates at higher resolutions. The Passmark DirectX scores (434 in DX9, 371 in DX11, 219 in DX12) are anomalously low and may not reflect real gaming performance — these are synthetic tests that may not capture driver optimizations for actual games. The Vulkan score of 376,915 in Geekbench suggests that modern game engines using Vulkan will perform better than DX11 or DX12 synthetic tests indicate. For competitive esports titles at 1080p, the CPU's 5.00 GHz boost clock will help, but the 35 W TDP may limit sustained performance in long gaming sessions. For AAA titles at 4K, the RTX 5090 D should deliver high frame rates in GPU-bound scenes, with CPU-related stutters possible in densely populated areas or physics-heavy games.

# Balance and Bottleneck

The data shows a clear imbalance in this pairing. The CPU sits at the 60th percentile, while the GPU sits at the 92nd percentile — a 32-point gap. The combined percentile is 76, which is closer to the CPU's ranking than the GPU's, suggesting that the CPU drags down the overall system performance in workloads that engage both components.

In CPU-bound workloads — physics simulation, game logic, AI pathfinding, compilation, or single-threaded applications — the i9-13900TE will be the limiting factor. Its average score of 5,342 is within 0.8% of older chips like the Core i9-9900X and Ryzen Threadripper 1920X, and its 35 W TDP means it cannot sustain high clocks under load. The 5.00 GHz boost clock helps in short bursts, but sustained all-core loads will drop clocks to stay within power limits. This means that in games at 1080p, where the CPU must feed the GPU with draw calls, the 5090 D may be underutilized.

In GPU-bound workloads — high-resolution rendering, ray tracing, GPU compute, video encoding with hardware acceleration, or large batch AI inference — the RTX 5090 D is the dominant component. Its 92nd percentile ranking and 32 GB VRAM allow it to handle datasets that would exhaust smaller memory pools. The 1.79 TB/s bandwidth ensures that memory-bound kernels are not starved. The FPS scaling between resolutions would show this: at 1080p, frame rates would be limited by the CPU's ability to issue draw calls; at 4K, the GPU's pixel rate of 423.6 GPixel/s becomes the primary factor, and frame rates would scale more closely with the GPU's raw compute.

The practical upshot: this is a GPU-first build. Users who play at 1440p or 4K or run GPU-accelerated applications will see strong performance. Users who play competitive esports at 1080p or run CPU-heavy workloads will be disappointed by the CPU's mid-pack ranking. The 575 W TDP of the GPU and 35 W TDP of the CPU mean that power delivery is heavily skewed toward the graphics card, and the 950 W suggested PSU has ample headroom for the CPU even under full load.

# Build Overview

This is a desktop build pairing the Intel Core i9-13900TE with the NVIDIA GeForce RTX 5090 D. The CPU is a 13th-generation Raptor Lake part with 24 cores and 32 threads, designed for a 35 W TDP. The GPU is a Blackwell 2.0 architecture flagship with 32 GB of GDDR7 memory and a 575 W TDP. The combined percentile for this pairing is 76, placing it above the majority of systems but below the top tier.

The overall tier is defined by the GPU's 92nd percentile ranking, which puts it in the top 8% of all GPUs. The CPU's 60th percentile ranking puts it in the middle of the pack. This is not a balanced build; it is a GPU-dominant system where the graphics card is the star and the CPU is a supporting actor. The i9-13900TE's low TDP makes it an unusual choice for a flagship GPU pairing — typically, a 24-core i9 would be paired with a high-power motherboard and cooling solution, but here the 35 W envelope suggests a compact or power-efficient build. The RTX 5090 D, at 304 mm length and dual-slot width, requires a full-size case with adequate airflow for its 575 W heat output. The 1.79 TB/s memory bandwidth and 32 GB VRAM place this GPU in the workstation-class tier, suitable for professional rendering and AI workloads as much as gaming.

# Upgrade Path and Platform

The Intel Core i9-13900TE uses Intel Socket 1700, which supports DDR4 and DDR5 memory through a dual-channel memory bus. The CPU provides PCIe Gen 5 with 16 lanes. ECC memory is supported, which is a consideration for workstation builds that require error-correcting memory. The platform supports both DDR4 and DDR5, giving builders flexibility in memory choice, though the dual-channel bus means memory bandwidth is not the primary feature of this build.

The RTX 5090 D uses PCIe 5.0 x16, which is fully compatible with the CPU's 16 PCIe Gen 5 lanes. The GPU's 575 W TDP and the CPU's 35 W TDP mean that the 950 W suggested PSU provides substantial headroom. The system's total power draw is dominated by the GPU, and the PSU recommendation accounts for that. The CPU's low TDP means that a modest CPU cooler is sufficient, allowing more of the system's thermal budget to be directed toward the GPU.

The upgrade path for this build is constrained by the CPU's socket. Intel Socket 1700 supports 13th-generation Core processors, and the i9-13900TE is already the top-tier i9 part in that generation. Upgrading the CPU would require moving to a different socket or a newer generation, which would also require a new motherboard. The GPU, on the other hand, is a current-generation flagship with a 92nd percentile ranking, so it has a long useful life ahead. A sensible next step for this build would be to add more memory if the system is used for memory-intensive workloads — the dual-channel DDR4/DDR5 support allows up to the maximum capacity supported by the motherboard. Alternatively, if CPU-bound workloads become the bottleneck, a platform change to a newer socket with a higher-TDP processor would be the logical upgrade, but that would require replacing the motherboard and possibly the memory. For GPU-bound workloads, the RTX 5090 D is already at the top of its class, so the next GPU upgrade would be several generations away. The 32 GB VRAM ensures that memory capacity will not be a limitation for years to come.