SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900TE + NVIDIA GeForce RTX 4080

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
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4080

54,247 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
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.

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

The Intel Core i9-13900TE and NVIDIA GeForce RTX 4080 form a desktop pairing that presents a distinct imbalance in raw capability. The CPU, a 24-core Raptor Lake part with a 35 W TDP, sits at the 60th percentile among all CPUs, while the GPU, an Ada Lovelace flagship, ranks at the 86th percentile. This 26-point gap in percentile positioning is the primary bottleneck dynamic: the processor’s power-constrained design limits its sustained throughput, while the graphics card’s compute and memory resources are ready for far more demanding workloads. Benchmark results indicate that in CPU-bound scenarios, such as physics simulation or AI inference on the host, the i9-13900TE will be the limiting factor. Conversely, in GPU-bound tasks like high-resolution rasterization or ray tracing, the RTX 4080 will dominate the frame rate, and the CPU’s single-core performance (Cinebench R23 single-core score of 2607) will be sufficient to keep pace at standard gaming resolutions.

Balance and Bottleneck

The data shows a clear division of labor between the two components. The CPU’s average benchmark score of 5342 places it within 0.5% of the Intel Core i9-10900KF and 0.8% of the Intel Core i9-9900X, indicating that despite its 35 W TDP, it delivers performance comparable to older high-end desktop parts. However, its Cinebench R23 multicore score of 18472 is modest for a 24-core processor, reflecting the thermal and power limits imposed by the 35 W envelope. In contrast, the GPU’s Passmark G3D score of 34457 and its 86th percentile ranking show that it operates in a higher performance tier. The bottleneck manifests most acutely in mixed workloads: for example, in 3D rendering, the CPU will struggle to feed the GPU with scene data quickly enough, while the GPU’s 716.8 GB/s memory bandwidth will handle texture streaming without issue.

FPS scaling estimates, derived from the benchmark scores, suggest that at 1080p, the CPU’s single-threaded performance (Cinebench R20 single-core score of 1094) will be the ceiling for frame generation in esports titles. At 1440p and 4K, the GPU’s 48.74 TFLOPS FP32 throughput becomes the dominant factor, and the CPU’s relative weakness matters less. The combined percentile of 73 indicates that this pairing is above average for a desktop build, but the gap between the 60th percentile CPU and 86th percentile GPU means that any workload that is not heavily GPU-parallel will leave performance on the table. The RTX 4080’s nearest rival, the RTX 4080 SUPER, is only 0.1% faster on average, so the GPU is not the source of any significant performance shortfall.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports both DDR4 and DDR5 memory in a dual-channel configuration. This flexibility allows builders to choose between older, more widely available DDR4 modules or newer DDR5 kits, though the memory bandwidth figures are not specified in the data. The CPU supports ECC memory, which is a notable feature for workstation use where data integrity is critical. PCIe Gen 5 is available with 16 lanes from the CPU, providing ample bandwidth for a modern GPU and NVMe storage. The RTX 4080 itself uses a PCIe 4.0 x16 interface, so it will run at full capability on this platform without any bandwidth limitations.

The suggested PSU for the GPU is 700 W, while the CPU’s TDP is 35 W. This leaves significant headroom for a future CPU upgrade to a higher-power part on the same socket, as the power supply is sized for the GPU’s 320 W TDP and the rest of the system. The i9-13900TE has a locked multiplier, so overclocking is not an option, but a sensible next upgrade would be to a higher-TDP Raptor Lake chip with an unlocked multiplier, assuming the motherboard’s VRM can handle the increased load. The GPU’s successor, the GeForce 50 series, is listed as the successor, but that is not a current upgrade path. For storage, the PCIe Gen 5 lanes allow for future high-bandwidth SSDs, and the dual-channel memory controller supports up to 128 GB (not specified, but implied by the memory support). The platform’s longevity is tied to the Socket 1700, which is a mature design with a wide range of compatible coolers and motherboards.

CPU Analysis

The Intel Core i9-13900TE is a 24-core, 32-thread processor based on the Raptor Lake architecture, built on Intel’s 10 nm process with a die size of 257 mm². Its base clock is 1000 MHz, which is exceptionally low, but it boosts to 5.00 GHz, indicating a wide frequency range that allows it to scale up for bursty workloads. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache, which is substantial for a processor with a 35 W TDP. The integrated UHD Graphics 770 provides basic display output, but it is not intended for gaming or compute tasks.

Benchmark results show that the CPU’s single-core performance is strong for its power class: a Cinebench R23 single-core score of 2607 is competitive with many desktop parts, and the R20 single-core score of 1094 confirms this. The multicore scores, however, are lower than one might expect from 24 cores. The Cinebench R23 multicore score of 18472 is roughly 7 times the single-core score, which is far below the 24-core theoretical scaling. This indicates that the 35 W TDP severely limits all-core boost clocks, and the CPU effectively operates as a high-frequency part for short bursts and a modest multicore part for sustained loads. The average benchmark score of 5342 places it just above the AMD EPYC 7281 (0.5% faster) and just below the Intel Core i9-10900KF (0.5% slower), which are both older, higher-power parts. For real workloads, this means the CPU is best suited for tasks that rely on single-threaded performance, such as office productivity, web browsing, and light coding, rather than heavy multi-threaded rendering or video encoding.

Who Should Build It

This build targets users who prioritize GPU performance above all else and need a CPU that is efficient enough to not waste power. Gamers at 1440p or 4K resolution will benefit from the RTX 4080’s high frame rates, and the CPU’s single-core performance is adequate for most titles at these resolutions. Content creators who work primarily with GPU-accelerated software, such as video editors using hardware encoding or 3D artists using GPU renderers, will see strong performance, but they should be aware that CPU-based tasks like timeline scrubbing or physics simulation will be slower than with a higher-TDP processor. Software developers will find the 32 threads useful for compilation, but the low TDP means long compile times for large projects. Students and small business workstations can benefit from the low power draw and ECC memory support, making it a reliable choice for data entry, spreadsheet work, and light virtualization. The build is not ideal for professionals who rely on CPU rendering, as the 35 W TDP will cause significant slowdowns compared to a standard desktop i9.

Usage Scenarios

High-refresh gaming: At 1080p, the CPU’s single-core score of 2607 (Cinebench R23) will be the limiting factor for frame rates above 200 FPS, but at 1440p, the GPU’s 48.74 TFLOPS will push frame rates well beyond 100 FPS in most titles. The RTX 4080’s 86th percentile ranking ensures that it outperforms 86% of all GPUs, making it a strong choice for high-refresh monitors.

Streaming: The RTX 4080 includes dedicated tensor cores (304 total) that can handle hardware encoding, offloading the stream encoding from the CPU. This is critical because the CPU’s multicore performance (Cinebench R23 score of 18472) is not strong enough to handle both gaming and software encoding simultaneously. The GPU’s 16 GB VRAM also provides ample headroom for streaming overlays and game capture.

Video editing: In GPU-accelerated editors like DaVinci Resolve, the RTX 4080’s 716.8 GB/s bandwidth and 48.74 TFLOPS will accelerate effects and color grading. The CPU’s role is limited to decoding and timeline management, where its single-core performance (R20 score of 1094) is adequate. Export times will be dominated by the GPU, but CPU-based effects will be slower.

3D rendering: For GPU renderers like Octane or Blender’s Cycles, the RTX 4080’s 9728 shading units and 76 RT cores will provide fast iteration. However, the CPU’s low multicore score (Cinebench R23 of 18472) means that CPU-based rendering will be several times slower than a standard desktop i9, making this build unsuitable for CPU-only render farms.

Software development: The 32 threads will handle parallel compilation tasks, but the 35 W TDP limits sustained all-core boost. For a developer who compiles frequently, the CPU will be slower than a 125 W part, but for web development or scripting, the single-core performance is more than sufficient.

Student and office work: The low TDP (35 W) makes this an energy-efficient choice for a workstation that runs all day. The integrated UHD Graphics 770 provides a fallback if the discrete GPU is not needed, and the ECC memory support adds reliability for long-running calculations.

GPU Analysis

The NVIDIA GeForce RTX 4080 is built on the Ada Lovelace architecture using TSMC’s 5 nm process, with 45,900 million transistors on a 379 mm² die. The GPU features 9728 shading units, 304 texture mapping units, and 112 ROPs, along with 76 RT cores and 304 tensor cores. Its base clock is 2205 MHz with a boost clock of 2505 MHz, and the memory runs at 1400 MHz with an effective data rate of 22.4 Gbps. The 16 GB of GDDR6X memory is connected via a 256-bit bus, yielding a bandwidth of 716.8 GB/s, which is substantial for 4K textures and high-resolution rendering.

The FP32 performance of 48.74 TFLOPS is identical to the FP16 performance, indicating that the GPU does not use a separate tensor core path for FP16, which is typical for Ada Lovelace. The pixel rate of 280.6 GPixel/s and texture rate of 761.5 GTexel/s support high-resolution gaming and complex scene rendering. The 3DMark Steel Nomad DX12 score of 6567 and Geekbench Vulkan score of 263779 place the GPU in the 86th percentile, with an average benchmark score of 54247. Its nearest rival, the RTX 4080 SUPER, is only 0.1% faster, while the AMD Radeon Pro W5700X is 1.1% slower, and the Radeon RX 6750 GRE 12 GB is 2.6% slower. This indicates that the RTX 4080 is a top-tier GPU with performance that is nearly indistinguishable from its direct successor. The Passmark G3D score of 34457 and GPU compute score of 20671 further confirm its strength in both rasterization and compute tasks.

Benchmark Performance

The CPU’s benchmark results show a processor that is capable in single-threaded tasks but constrained in multicore workloads. The Cinebench R15 multicore score of 1861 and single-core score of 262 are low compared to modern desktop parts, but the R20 and R23 scores (7758 and 18472 multicore, 1094 and 2607 single-core) are more representative of real-world performance. The CPU’s average benchmark score of 5342 places it at the 60th percentile, which is above average but not exceptional. Its nearest rivals include the Intel Core i9-10900KF (0.5% faster), AMD EPYC 7281 (0.5% faster), AMD Ryzen Threadripper 1920X (0.7% faster), and Intel Core i9-9900X (0.8% faster), all of which are older, higher-power parts.

The GPU’s benchmark scores are far more impressive. The 3DMark Steel Nomad DX12 score of 6567 and Geekbench OpenCL score of 214739 highlight its compute capabilities. The Passmark DirectX scores (204 for DX10, 314 for DX11, 132 for DX12, and 370 for DX9) show a peculiar pattern where DX9 is the highest, but the G3D score of 34457 is the most reliable indicator of overall graphics performance. The GPU’s average benchmark score of 54247 and 86th percentile ranking confirm that it is a high-end part. The combined percentile of 73 for this build reflects the CPU’s lower tier pulling down the GPU’s high tier, resulting in a system that is above average but not top-tier.

Build Overview

This is a desktop build that pairs a low-power, high-core-count CPU with a flagship GPU. The Intel Core i9-13900TE is a 35 W part with 24 cores and 32 threads, designed for efficiency, while the NVIDIA GeForce RTX 4080 is a 320 W triple-slot card with 16 GB of GDDR6X memory. The combined percentile of 73 places this build in the upper quarter of all desktop configurations, but the 60th percentile CPU and 86th percentile GPU create a significant imbalance. The CPU is the bottleneck for CPU-bound tasks, while the GPU is the star for graphics-intensive workloads. This pairing is best described as a GPU-first system with an energy-efficient CPU, suitable for users who need high frame rates and GPU compute but do not require sustained multicore CPU performance.

FAQ

Q: What is the CPU’s TDP and how does it affect performance?

A: The CPU has a TDP of 35 W, which is extremely low for a 24-core part. This limits sustained all-core boost clocks, as evidenced by the Cinebench R23 multicore score of 18472, which is low for 24 cores. The CPU compensates with a 5.00 GHz boost clock for single-threaded tasks.

Q: Does the RTX 4080 support the latest DirectX version?

A: Yes, the GPU supports DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4, making it compatible with the latest games and applications.

Q: Can this build handle 4K gaming?

A: The GPU’s 16 GB VRAM and 716.8 GB/s bandwidth, combined with its 48.74 TFLOPS FP32 performance, make it well-suited for 4K gaming. The CPU’s single-core performance (Cinebench R23 score of 2607) is adequate for most titles at this resolution, though frame rates may be limited in CPU-heavy scenes.

Q: What is the memory support for the CPU?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, and it also supports ECC memory, which is unusual for a consumer desktop processor.

Q: How does the CPU compare to its nearest rivals?

A: The CPU’s average benchmark score of 5342 is 0.5% faster than the Intel Core i9-10900KF and AMD EPYC 7281, 0.7% faster than the AMD Ryzen Threadripper 1920X, and 0.8% faster than the Intel Core i9-9900X. This shows it is competitive with older high-end parts despite its low TDP.

Q: What is the GPU’s launch MSRP?

A: The RTX 4080 has a launch MSRP of 1,199 USD, which reflects its position as a high-end graphics card.

Q: Is the GPU still in production?

A: No, the GPU is listed as end-of-life, with the GeForce 50 series as its successor. The CPU, however, is listed as active in production.

Gaming Performance

No measured FPS rows exist for this exact combination of the Intel Core i9-13900TE and NVIDIA GeForce RTX 4080. Therefore, all frame rate figures below are estimates derived from the benchmark scores, not from direct testing. The GPU’s 86th percentile and 48.74 TFLOPS FP32 performance suggest that at 1080p, the CPU’s single-core score of 2607 (Cinebench R23) will limit frame rates in esports titles to around 150-200 FPS, while the GPU will be underutilized. At 1440p, the GPU’s 716.8 GB/s bandwidth and 9728 shading units will allow for high frame rates (100-150 FPS) in most AAA titles, with the CPU providing enough headroom. At 4K, the GPU’s 16 GB VRAM will be a strong asset, and frame rates will be GPU-bound, typically in the 60-100 FPS range for demanding titles, with the CPU’s single-core performance being sufficient. These estimates assume that the CPU does not throttle below its 5.00 GHz boost clock, which is a risk given the 35 W TDP. For users who prioritize gaming, this pairing is best suited for 1440p and 4K, where the GPU’s strengths are fully utilized.