SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900TE + NVIDIA GeForce RTX 4090

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
Well Balanced
CPU
77%
VS
GPU
97%
PROCESSOR

Intel Core i9-13900TE

5,342 Benchmark Score
Top 23% Market Ranking
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GRAPHICS CARD

NVIDIA GeForce RTX 4090

60,347 Benchmark Score
Top 3% 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 i9-13900TE + NVIDIA GeForce RTX 4090: Database Analysis

The Intel Core i9-13900TE paired with the NVIDIA GeForce RTX 4090 is a desktop-class combination that lands at the 74th percentile overall, meaning it outperforms roughly three-quarters of all tested CPU+GPU pairings. This is a peculiar match: a low-power, 35W TDP processor designed for efficiency paired with a flagship 450W graphics card built for maximum performance. The benchmark data shows no measured FPS rows exist for this exact combination, so all frame-rate discussion below is estimated from the individual component benchmark scores and their relative percentiles.

FAQ

Q: Is the RTX 4090 bottlenecked by the i9-13900TE?

A: Yes, and severely. The CPU sits at the 60th percentile among all CPUs with an average benchmark score of 5342, while the GPU ranks at the 88th percentile with an average score of 60347. The 28-point percentile gap indicates the CPU will limit the GPU in most workloads, especially at lower resolutions where the GPU has more headroom.

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

A: The combined percentile is 74, placing it above 74% of all tested desktop pairings. However, this is driven almost entirely by the GPU's strong 88th percentile ranking, not the CPU's middling 60th percentile position.

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

A: The i9-13900TE's average score of 5342 is just 0.5% ahead of the Intel Core i9-10900KF (5316) and the AMD EPYC 7281 (5315), and 0.7% ahead of the AMD Ryzen Threadripper 1920X (5306). It is also 0.8% ahead of the Intel Core i9-9900X (5301). These are all within a rounding error of each other.

Q: What memory types does this CPU support?

A: The i9-13900TE supports both DDR4 and DDR5 memory in a dual-channel configuration. It also supports ECC memory, which is unusual for a desktop Core i9 part and suggests a workstation-oriented design.

Q: Does the RTX 4090 have enough VRAM for heavy workloads?

A: With 24 GB of GDDR6X memory on a 384-bit bus delivering 1.01 TB/s of bandwidth, the RTX 4090 has ample memory capacity and bandwidth for 4K gaming, large 3D scenes, and high-resolution texture work. The 88th percentile GPU rank confirms its top-tier status.

Q: Is this a good pairing for high-refresh-rate gaming?

A: At 1080p or 1440p, the CPU's 60th percentile rank will likely cap frame rates below what the GPU could deliver, making high-refresh monitors partially wasted. At 4K, the GPU becomes the primary driver, and the CPU's limitations matter less. No measured FPS data exists, so these are estimates from benchmark scores.

Q: What is the GPU's production status and launch price?

A: The RTX 4090 is end-of-life with a launch MSRP of 1,599 USD. Its successor is the GeForce 50 series, and its predecessor was the GeForce 30 series.

Benchmark Performance

The CPU delivers a Cinebench R23 multi-core score of 18472 and a single-core score of 2607. In Cinebench R20, it scores 7758 multi-core and 1094 single-core. The older Cinebench R15 yields 1861 multi-core and 262 single-core. These scores place the i9-13900TE at the 60th percentile among all CPUs, with an average benchmark score of 5342 across all tests. The nearest rivals are separated by less than 1%: the Intel Core i9-10900KF scores 5316 (0.5% behind), the AMD EPYC 7281 scores 5315 (0.5% behind), the AMD Ryzen Threadripper 1920X scores 5306 (0.7% behind), and the Intel Core i9-9900X scores 5301 (0.8% behind). This means the i9-13900TE is essentially performance-equivalent to a 2020-era high-end desktop CPU and a first-generation Threadripper.

The GPU, in contrast, is a different class entirely. In 3DMark Steel Nomad DX12, it scores 9223. Geekbench OpenCL returns 255416, and Geekbench Vulkan returns 271631. Passmark G3D scores 38194, with a G2D score of 1299. The passmark compute score is 26613. The GPU's average benchmark score is 60347, placing it at the 88th percentile among all GPUs. Its nearest rivals include the Intel Arc Pro A60 at 60326 (0% delta), the AMD Radeon Pro Vega 48 at 60140 (0.3% delta), the AMD Radeon Pro W6600M at 61896 (2.5% ahead of the 4090), and the AMD Radeon PRO V710 at 58657 (2.9% behind). The fact that the RTX 4090's nearest rivals include professional and mobile workstation GPUs, not gaming cards, highlights just how far ahead it is in raw compute.

The combined picture is one of extreme imbalance. The GPU at the 88th percentile is a top-tier part, while the CPU at the 60th percentile is a mid-pack performer. The combined percentile of 74 reflects this average. In any CPU-bound scenario, the system will perform closer to the 60th percentile; in GPU-bound scenarios, it will perform closer to the 88th percentile. The data indicates the GPU is capable of far more than this CPU can feed it.

CPU Analysis

The Intel Core i9-13900TE is a 24-core, 32-thread processor based on the Raptor Lake architecture, specifically Raptor Lake-S. It is built on Intel's 10 nm process node with a die size of 257 mm². The base clock is 1000.00 MHz, and the boost clock reaches 5.00 GHz. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. The CPU supports DDR4 and DDR5 memory in dual-channel mode and includes ECC memory support, which is a notable feature for workstation reliability. It uses the Intel Socket 1700 and provides PCIe Gen 5 with 16 lanes from the CPU. The integrated graphics are UHD Graphics 770. The TDP is 35W, which is exceptionally low for a 24-core part, indicating heavy power limiting and a focus on efficiency over sustained performance. The multiplier is locked, so overclocking is not possible.

The benchmark scores tell a story of a processor that performs well in short bursts but likely throttles under sustained load due to the 35W TDP envelope. The Cinebench R23 multi-core score of 18472 is respectable, but it is not in the top tier of desktop CPUs. The 60th percentile rank confirms this. For real workloads, this means the CPU can handle multi-threaded tasks like video encoding or compilation, but it will not match the sustained throughput of higher-TDP parts from the same generation. Single-core performance, however, is strong: the R23 single-core score of 2607 is good and reflects the 5.00 GHz boost clock. This helps with everyday responsiveness and lightly-threaded applications.

The nearest rivals are illuminating. Matching the Intel Core i9-10900KF (a 10-core, 20-thread Comet Lake part) and the AMD Ryzen Threadripper 1920X (a 12-core, 24-thread first-gen Threadripper) means the 13900TE's 24 cores are not scaling proportionally due to power limits. The 0.5% delta over the 10900KF is statistically negligible. This suggests the 13900TE's value lies not in raw performance but in its combination of many cores, low power draw, and ECC support in a locked, reliable package. For workloads that are bursty rather than sustained, the performance is adequate; for continuous all-core loads, the 35W TDP will be the limiting factor.

Balance and Bottleneck

The bottleneck analysis is straightforward: the CPU is the limiting component in almost every scenario. The GPU sits at the 88th percentile, the CPU at the 60th percentile — a 28-point gap. In GPU-bound workloads like 4K gaming or heavy rendering, the GPU will be fully utilized and the CPU's lower percentile will have less impact. However, in CPU-bound workloads like 1080p gaming at high frame rates, physics simulations, or single-threaded productivity, the CPU's 60th percentile rank will cap performance well below what the RTX 4090 can deliver.

The FPS scaling evidence is absent because no measured FPS rows exist for this exact combination. However, the benchmark scores imply that at 1080p, where frame rates often exceed 200 FPS in esports titles, the CPU's single-core performance (R23 single-core score of 2607) and overall 60th percentile rank will not sustain those frame rates. At 1440p, the CPU still limits in many titles. At 4K, the GPU's workload dominates, and the CPU's limitations become less relevant; the GPU can stretch its legs, and the system will perform closer to its 88th percentile GPU rank.

The practical implication is that this pairing wastes the RTX 4090's potential in most gaming scenarios. The GPU's average benchmark score of 60347 versus the CPU's 5342 shows the massive gap in capability. In productivity workloads that are multi-threaded and sustained, the CPU's 35W TDP will cause it to throttle, reducing its effective performance and further exacerbating the imbalance. Conversely, in GPU-compute workloads like machine learning training or 3D rendering, the CPU's role is smaller, and the GPU will dominate the work, making the pairing more sensible. The data suggests this build is only balanced when the workload heavily favors the GPU.

GPU Analysis

The NVIDIA GeForce RTX 4090 is built on the Ada Lovelace architecture and uses the AD102 chip, manufactured on TSMC's 5 nm process with 76,300 million transistors on a 609 mm² die. The base clock is 2235 MHz, and the boost clock is 2520 MHz. Memory runs at 1313 MHz (21 Gbps effective) across 24 GB of GDDR6X on a 384-bit bus, yielding 1.01 TB/s of bandwidth. The GPU has 16384 shading units, 512 TMUs, and 176 ROPs. It includes 128 RT cores and 512 tensor cores. Pixel rate is 443.5 GPixel/s, and texture rate is 1,290.2 GTexel/s. FP32 performance is 82.58 TFLOPS, and FP16 is also 82.58 TFLOPS (1:1 ratio). The TDP is 450W, requiring a 1x 16-pin power connector and a suggested 850W PSU. It is a triple-slot card measuring 304 mm in length, 137 mm in height, and 61 mm in width. The bus interface is PCIe 4.0 x16, and display outputs include 1x HDMI 2.1 and 3x DisplayPort 1.4a. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The GPU is end-of-life, succeeded by the GeForce 50 series.

The benchmark scores are exceptional. The 3DMark Steel Nomad DX12 score of 9223 places it in the upper echelon of GPUs. Geekbench OpenCL and Vulkan scores of 255416 and 271631, respectively, show strong compute performance. The Passmark G3D score of 38194 and the G2D score of 1299 indicate robust 2D and 3D performance. The Passmark GPU Compute score of 26613 demonstrates significant compute throughput. The 88th percentile rank among all GPUs confirms its top-tier status.

For rendering workloads, the RTX 4090's 82.58 TFLOPS of FP32 and FP16 power, combined with 128 RT cores and 512 tensor cores, make it a formidable tool for 3D rendering, video encoding, and AI inference. The 24 GB of VRAM is sufficient for large scenes and high-resolution textures, and the 1.01 TB/s bandwidth ensures data moves quickly. The GPU's nearest rivals being professional workstation cards (AMD Radeon Pro Vega 48, Radeon Pro W6600M, PRO V710) rather than consumer gaming GPUs underscores its compute dominance. For gaming, the GPU is overqualified for 1440p and excels at 4K, where the high VRAM capacity and bandwidth shine. The 88th percentile means it outperforms the vast majority of GPUs in all scenarios.

Who Should Build It

This pairing is for users who prioritize GPU compute above all else and need a CPU that is efficient and reliable, not necessarily the fastest. The target user is a 3D artist or video editor who works with large scenes and high-resolution timelines, where the RTX 4090's 24 GB VRAM and 82.58 TFLOPS of FP32 power are critical. The CPU's ECC memory support is a plus for workstation stability. Content creators rendering in GPU-accelerated applications like Blender or DaVinci Resolve will benefit from the GPU's 88th percentile performance, and the CPU's 60th percentile rank is sufficient for feeding the GPU frames in a rendering pipeline.

Gamers at 4K resolution are also a target audience. At 4K, the GPU's 88th percentile rank will be the primary driver, and the CPU's limitations are less noticeable. However, gamers at 1080p or 1440p seeking maximum frame rates should avoid this pairing; the CPU's 60th percentile rank will bottleneck. Software developers working on GPU-compute tasks like machine learning or scientific simulations will find the RTX 4090's tensor cores and 512 tensor cores invaluable. The CPU's 24 cores and 32 threads can handle compilation and data preparation tasks, albeit with the caveat of the 35W TDP limiting sustained all-core loads.

Students and small business workstations are less ideal targets due to the GPU's flagship status and the overall cost implied by the 88th percentile GPU. However, if the work is GPU-centric, the CPU's low TDP means the system is power-efficient at idle and light loads, making it a reasonable choice for a dedicated rendering workstation where the GPU runs at full tilt. The data shows this is not a balanced build; it is a GPU-first workstation with a modest CPU bolted on.

Usage Scenarios

High-refresh gaming: At 1080p or 1440p, the CPU's 60th percentile rank will cap frame rates, making high-refresh (144Hz+) monitors partially wasted. At 4K, the GPU's 88th percentile rank dominates, and the system can drive high refresh at 4K in many titles, but no measured FPS data exists to confirm exact numbers.

Streaming: The RTX 4090's NVENC encoder (part of the Ada Lovelace architecture, implied by the 128 RT cores and 512 tensor cores) can handle encoding without taxing the CPU. However, the CPU's 60th percentile rank may struggle with game logic plus streaming overhead in CPU-bound titles, leading to potential stream stutter.

Video editing: The GPU's 24 GB VRAM and 1.01 TB/s bandwidth accelerate timeline scrubbing and effect rendering. The CPU's Cinebench R23 multi-core score of 18472 is adequate for decoding and encoding video, but the 35W TDP may cause throttling during long export sessions, slowing output compared to higher-TDP CPUs.

3D rendering: This is the sweet spot. The GPU's 82.58 TFLOPS of FP32 and 512 tensor cores make GPU-accelerated rendering (OptiX, CUDA) extremely fast. The CPU's role is minor, so its 60th percentile rank is less of a concern. The 24 GB VRAM handles large scenes.

Software development: Compilation is multi-threaded and CPU-bound; the 24 cores and 32 threads provide decent parallel throughput, but the 35W TDP limits sustained boost clocks, making long builds slower than a higher-TDP CPU. GPU compute development benefits from the tensor cores and 88th percentile GPU rank.

Student and office work: This is overkill. The CPU's single-core score of 2607 in R23 is fine for office tasks, but the GPU is massively underutilized. The 450W TDP GPU and 850W suggested PSU are excessive for such workloads, making this an inefficient choice for typical student or office use.

Build Overview

This is a desktop-class build (buildClass: "desktop") combining the Intel Core i9-13900TE and the NVIDIA GeForce RTX 4090. The CPU is a 24-core, 32-thread Raptor Lake-S part with a 35W TDP, designed for efficiency and reliability, including ECC memory support. The GPU is a flagship Ada Lovelace card with 24 GB of GDDR6X and an 88th percentile ranking among all GPUs. The combined percentile is 74, placing this pairing above 74% of all tested configurations. However, this overall tier is misleading because it averages a 60th percentile CPU with an 88th percentile GPU. The build is effectively a top-tier GPU attached to a mid-tier CPU. The GPU's end-of-life status and launch MSRP of 1,599 USD indicate it is a high-end component from the previous generation, while the CPU is a niche, power-efficient SKU.

The data shows no measured FPS for this combination, so performance estimates rely on the benchmark scores. In GPU-heavy tasks, this build performs near the 88th percentile; in CPU-heavy tasks, it falls to the 60th percentile. The class is desktop, and the tier is mid-to-high overall, but the GPU is the clear star.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in dual-channel mode. The platform provides PCIe Gen 5 with 16 lanes from the CPU, and the GPU uses PCIe 4.0 x16. The 35W TDP CPU means the power delivery system is not stressed, and the 450W TDP GPU requires a suggested 850W PSU, which is ample for the entire system. The CPU has a locked multiplier, so overclocking is not possible; the upgrade path for the CPU is to a higher-TDP 13th-gen part on the same socket, but the platform is at the end of its generation. The GPU is end-of-life and succeeded by the GeForce 50 series, so a future upgrade would be to a newer architecture.

The most sensible next upgrade is to replace the CPU with a higher-TDP Raptor Lake part on the same socket, which would provide sustained multi-core performance closer to the GPU's level. However, the platform's DDR4/DDR5 support means a memory upgrade is also possible. The 850W suggested PSU provides headroom for a more power-hungry CPU, as the 35W TDP CPU leaves significant power budget unused. Alternatively, the GPU could be upgraded to a newer generation, but given its 88th percentile rank, it is not the immediate bottleneck. The data indicates the CPU is the limiting factor, so a CPU upgrade would yield the most balanced performance, but the locked multiplier and platform maturity limit the upside. The ECC memory support on the current CPU is a feature that a standard gaming CPU would not offer, so a swap to a non-ECC part would lose that reliability feature.