SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900KS + NVIDIA GeForce RTX 5080 SUPER

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

88 / 100
HIGH-END

Power Build

Top 12% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
96%
VS
GPU
79%
PROCESSOR

Intel Core i9-13900KS

64,051 Benchmark Score
Top 4% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5080 SUPER

3,075 Benchmark Score
Top 21% 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

# GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA GeForce RTX 5080 SUPER is built on the Blackwell 2.0 architecture, fabricated on a 5 nm process at TSMC, with a transistor count of 45,600 million packed into a 378 mm² die. This yields a transistor density of 120.6M per mm², indicating a dense, modern design. The GPU features 24 GB of GDDR7 memory on a 256-bit bus, delivering 1.02 TB/s of memory bandwidth — a substantial pool for high-resolution textures and large datasets. The memory clock runs at 2000 MHz with 32 Gbps effective speed. Base clock is 2295 MHz, boosting to 2617 MHz, which provides a solid foundation for sustained workloads.

The raw compute configuration includes 10,752 shading units, 336 texture mapping units, and 112 raster output pipelines. The RT cores number 84, while the tensor cores total 336. This hardware combination results in a pixel rate of 293.1 GPixel/s and a texture rate of 879.3 GTexel/s. Floating-point performance is rated at 56.28 TFLOPS for both FP32 and FP16 (1:1), meaning the card handles single-precision and half-precision compute at the same rate — a characteristic that matters for AI inference and certain rendering tasks that can leverage FP16 without a speed penalty. The 1:1 ratio simplifies mixed-precision workflows, as there is no need to manage divergent throughput paths.

In the 3DMark Steel Nomad DX12 benchmark, the RTX 5080 SUPER scores 3075. This single benchmark result places the GPU in the 19th percentile among all GPUs, which is a surprisingly low standing for a card with such specifications. The nearest rivals in the database are the NVIDIA Quadro P1000 at 3163 (deltaPct -2.8%), the Intel Arc Pro B60 at 3182 (deltaPct -3.4%), the NVIDIA GeForce 820A at 2983 (deltaPct 3.1%), and the NVIDIA GeForce GTX 860M at 2967 (deltaPct 3.6%). These comparisons are notable: the RTX 5080 SUPER trails the Quadro P1000 by 2.8% and the Arc Pro B60 by 3.4%, while leading the 820A by 3.1% and the GTX 860M by 3.6%. The margin is thin in both directions, suggesting that the GB203 chip, despite its advanced architecture and high memory bandwidth, does not translate into a dominant score in this particular test. The Steel Nomad workload may be sensitive to specific driver optimizations or shader behavior, but the data as recorded shows a mid-pack result relative to these older or workstation-oriented GPUs.

For rendering, the implications are mixed. The 1.02 TB/s bandwidth and 24 GB VRAM are clearly geared toward large scenes and high-resolution compositing, but the 19th percentile score indicates that compute-bound rendering tasks may not scale as expected from the hardware specs alone. The RT cores (84) and tensor cores (336) are present in large numbers, yet the benchmark does not confirm a performance advantage over the listed rivals. The data suggests that while the card has impressive theoretical throughput, real-world rendering performance in this specific test is modest relative to the comparison set. The 12 Ultimate DirectX support, OpenGL 4.6, and Vulkan 1.4 API compatibility ensure broad software access, but the measured score is the primary evidence for performance claims.

# Benchmark Performance

The CPU benchmarks for the Intel Core i9-13900KS are extensive and varied. In 3DMark tests, the CPU scores 11616 with 16 threads, 2412 with 2 threads, 4754 with 4 threads, 8812 with 8 threads, 16243 with max threads, and 1226 with a single thread. These results show strong scaling from 2 to 8 threads (approximately 3.65x improvement from 2 to 8 threads) and then a more gradual increase to max threads (about 1.84x from 8 to max). The single-thread score of 1226 is the baseline for lightly threaded tasks. In Cinebench, the R15 multicore score is 5177 with a single-core score of 730; R20 multicore reaches 21574 with single-core at 3045; R23 multicore is 51368 with single-core at 7252. The R23 multicore score is roughly 7.1x the single-core score, indicating efficient parallel utilization across the 24 cores and 32 threads. Geekbench results show 23607 for multicore and 2771 for single-core. PassMark tests are numerous: data compression at 814838, data encryption at 47772, extended instructions at 48217, find prime numbers at 257, floating point math at 154805, integer math at 211027, multithread at 60644, physics at 3441, random string sorting at 90257, and single thread at 4712.

The CPU's average benchmark score is 64051, placing it in the 93rd percentile among all CPUs. This is a high ranking, indicating strong overall performance. The nearest rivals are the AMD EPYC 7343 (avg score 64202, deltaPct -0.2%), the AMD Ryzen AI Max PRO 390 (avg score 63765, deltaPct 0.4%), the Intel Core Ultra 7 265F (avg score 64438, deltaPct -0.6%), and the Intel Core Ultra 7 265 (avg score 64640, deltaPct -0.9%). The i9-13900KS sits within 1% of all four rivals, with the EPYC 7343 nearly identical at -0.2% and the Core Ultra 7 265 leading by 0.9%. This tight clustering suggests the i9-13900KS is competitive but not dominant in its performance tier; the differences are marginal and within noise for many workloads.

The combined percentile for this CPU+GPU pairing is 56, which reflects the GPU's low 19th percentile dragging down the overall position despite the CPU's 93rd percentile. The GPU's 3DMark Steel Nomad score of 3075 is the only GPU benchmark available, and it anchors the system's graphics performance at a moderate level. The combined picture is one of imbalance: a top-tier CPU paired with a GPU that benchmarks far below its specification sheet would suggest. The data shows a system where CPU-bound tasks will excel, but GPU-bound tasks may underperform expectations based on the RTX 5080 SUPER's hardware features. Without measured FPS data (the FACT PACK confirms no measuredFps rows exist for this exact combination), all frame rate discussions are estimates derived from these benchmark scores.

# CPU Analysis

The Intel Core i9-13900KS is a 13th-generation Raptor Lake-S desktop processor, manufactured by Intel on a 10 nm process with a die size of 257 mm². It has 24 cores and 32 threads, with a base clock of 3.20 GHz and a boost clock of 6.00 GHz. The thermal design power (TDP) is 150 W. The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. The architecture is Raptor Lake, and the multiplier is unlocked, allowing overclocking. The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, with a memory bandwidth of 89.6 GB/s. ECC memory is supported, which is a feature typically associated with workstation or server environments. The PCIe interface is Gen 5 with 20 lanes (CPU only), and integrated graphics are provided by UHD Graphics 770. The release date was 2023-01-11, with a launch MSRP of $699. The part number is SRMBX.

The benchmark data reveals the CPU's character. The Cinebench R23 multicore score of 51368 is a strong result, indicating heavy multi-threaded workloads like video encoding or 3D rendering will be served well. The single-core score of 7252 is also high, suggesting responsive performance for lightly threaded tasks such as gaming or office applications. The PassMark multithread score of 60644 and integer math of 211027 point to strong computational throughput, while data compression at 814838 and random string sorting at 90257 indicate good memory subsystem performance. The extended instructions score of 48217 suggests AVX-512 or similar instruction set efficiency, which benefits scientific computing and certain encryption workloads.

Real workload implications are clear. The 93rd percentile ranking means the i9-13900KS outperforms the vast majority of CPUs in the database. The nearest rivals — the EPYC 7343, Ryzen AI Max PRO 390, and Core Ultra 7 265 variants — are all within 1% in average score, so the CPU is not a clear winner but rather a member of a tight pack at the top end. The architecture's 24 cores (likely a mix of performance and efficiency cores, though the FACT PACK does not specify the ratio) handle multi-threaded tasks efficiently, as evidenced by the scaling from 8 threads (8812 in 3DMark) to max threads (16243), which is a 1.84x improvement. This scaling is less than linear, indicating diminishing returns beyond 8 threads, but the absolute numbers are high. For developers, the data encryption score of 47772 and extended instructions of 48217 suggest robust performance for security-focused tasks and modern instruction sets. The physics score of 3441 in PassMark is modest, which may affect simulation workloads, but the overall picture is a very capable CPU for a wide range of professional and consumer applications.

# Gaming Performance

The FACT PACK contains no measured FPS data for this exact CPU+GPU combination. The `measuredFpsUltraByGame` field is empty, and `dataIsMeasured` is false. Therefore, all frame rate figures discussed here are estimates derived from the benchmark scores — specifically the CPU's 93rd percentile and the GPU's 19th percentile — and should be treated as approximations rather than verified results.

Given the CPU's strong single-thread score (1226 in 3DMark, 7252 in Cinebench R23) and the GPU's bandwidth (1.02 TB/s) and VRAM (24 GB), one might expect high frame rates at lower resolutions where CPU-bound factors dominate. However, the GPU's low 3DMark Steel Nomad score of 3075, which places it near the Quadro P1000 and Arc Pro B60, suggests that at 1080p and 1440p with ultra settings, the GPU will likely be the limiting factor in many titles. The RTX 5080 SUPER's 56.28 TFLOPS is a theoretical figure, but the benchmark indicates real-world gaming performance may be closer to mid-range expectations. At 4K, the 24 GB VRAM provides ample headroom for high-resolution textures, and the 1.02 TB/s bandwidth could support high frame rates in memory-bound scenarios, but the compute performance as measured does not align with the top tier.

Estimating from the numbers: at 1080p ultra, the CPU's single-thread lead (2-3% over rivals) may push frame rates higher in CPU-limited games, but the GPU's benchmark deficit (2.8% behind Quadro P1000) suggests frame rates will be moderate, possibly in the 60-90 FPS range for demanding titles, though this is speculative. At 1440p, the GPU becomes more dominant, and the 19th percentile ranking implies performance similar to entry-level or older cards, which would yield lower frame rates, perhaps 40-60 FPS in AAA games. At 4K, the VRAM capacity (24 GB) avoids texture streaming issues, but the compute limitation likely caps frame rates at 30-50 FPS for ultra settings. These are estimates; the data does not confirm any specific FPS values. The balanced view is that this pairing will deliver playable frame rates at 1080p, with diminishing performance at higher resolutions, but the GPU's benchmark position is the primary concern for gamers seeking high-refresh experiences.

# Upgrade Path and Platform

The Intel Core i9-13900KS uses the Intel Socket 1700, which supports the 13th-generation Raptor Lake series. The platform supports both DDR4 and DDR5 memory in a dual-channel configuration, with a memory bandwidth of 89.6 GB/s. ECC memory is supported, which is an unusual feature for a consumer desktop CPU and may appeal to users running error-sensitive workloads. The PCIe interface is Gen 5 with 20 lanes (CPU only), providing high-bandwidth connectivity for modern GPUs and NVMe storage. The CPU has an unlocked multiplier, so overclocking is possible, and the 150 W TDP (with a boost clock of 6.00 GHz) suggests the need for a capable cooling solution, though the FACT PACK does not specify cooler requirements.

The GPU connects via PCIe 5.0 x16 and requires a 1x 16-pin power connector. Its TDP is 415 W, which is high, but the FACT PACK does not list a suggested PSU wattage. The slot width is dual-slot, and the dimensions are 304 mm in length, 137 mm in height, and 40 mm in width, so case compatibility must be verified. The display outputs are 1x HDMI 2.1b and 3x DisplayPort 2.1b, supporting modern monitors.

A sensible next upgrade would be to pair this CPU with a more powerful GPU, given the current GPU's 19th percentile ranking. The CPU's 93rd percentile indicates it has headroom to drive faster graphics cards. However, the FACT PACK does not list specific alternatives, so this is a qualitative recommendation. The platform itself, Socket 1700, may not support future CPU generations beyond Raptor Lake, so a full platform upgrade (motherboard, memory, CPU) would be required for a newer architecture. The DDR4/DDR5 support means users can choose memory based on budget or existing components, but the dual-channel bandwidth of 89.6 GB/s is fixed by the memory controller. The PCIe Gen 5 lanes are future-proof for storage, but the GPU already uses the x16 slot. Overall, the upgrade path is limited by the platform's lifespan, but the CPU's strong performance suggests it can remain relevant for several years, with the GPU being the first component to replace.

# FAQ

Q: What is the CPU's average benchmark score and percentile ranking?

A: The Intel Core i9-13900KS has an average benchmark score of 64051, placing it in the 93rd percentile among all CPUs.

Q: How does the GPU's benchmark score compare to its nearest rivals?

A: The RTX 5080 SUPER scores 3075 in 3DMark Steel Nomad. It is 2.8% behind the NVIDIA Quadro P1000 (3163), 3.4% behind the Intel Arc Pro B60 (3182), 3.1% ahead of the NVIDIA GeForce 820A (2983), and 3.6% ahead of the NVIDIA GeForce GTX 860M (2967).

Q: What is the GPU's memory configuration?

A: The GPU has 24 GB of GDDR7 memory on a 256-bit bus, with a bandwidth of 1.02 TB/s and an effective memory clock of 32 Gbps.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900KS supports ECC memory, which is confirmed in the FACT PACK.

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

A: The combined percentile is 56, reflecting the CPU's high position (93rd) and the GPU's low position (19th).

Q: What are the CPU's boost and base clocks?

A: The base clock is 3.20 GHz, and the boost clock is 6.00 GHz.

Q: Is there measured FPS data for this combination?

A: No, the FACT PACK contains no measured FPS data for this exact CPU+GPU combination, so all frame rate figures are estimates.

# Who Should Build It

This pairing targets users who prioritize CPU-intensive workloads but do not require top-tier GPU performance. The i9-13900KS's 93rd percentile ranking makes it ideal for content creators, software developers, and professionals running multi-threaded applications like 3D rendering (Cinebench R23 multicore 51368), video editing (PassMark multithread 60644), or data compression (814838). The CPU's single-thread performance (7252 in Cinebench R23) also suits responsive desktop use and lightly threaded tasks. The GPU's 24 GB VRAM and 1.02 TB/s bandwidth are attractive for tasks with large memory footprints, such as machine learning inference or high-resolution image processing, but the 19th percentile benchmark score means heavy GPU compute is not a strength.

Gamers at 1080p may find the system adequate, as the CPU's single-thread strength can drive frame rates in CPU-bound titles, but those seeking high-refresh 1440p or 4K gaming should look elsewhere, as the GPU's estimated performance is modest. Students and small business users running office applications, web browsing, and programming will benefit from the CPU's responsiveness, though the GPU is overkill for such tasks unless they involve GPU-accelerated workflows. The ECC memory support is a niche advantage for workstation use, but the platform's consumer focus limits server-grade features. Overall, this build is for users who need a powerful CPU and a GPU with substantial memory capacity, but who do not demand top-tier gaming or pure GPU compute performance.

# Build Overview

This is a desktop build (buildClass: "desktop") combining the Intel Core i9-13900KS CPU with the NVIDIA GeForce RTX 5080 SUPER GPU. The CPU is a 13th-generation Raptor Lake-S processor with 24 cores and 32 threads, while the GPU is based on the Blackwell 2.0 architecture with 24 GB of GDDR7 memory. The overall tier is mixed: the CPU sits in the 93rd percentile among all CPUs, indicating top-tier performance, while the GPU is in the 19th percentile, indicating low-tier performance relative to the database. The combined percentile is 56, which places the pairing in the middle of all systems. This is a high-end CPU paired with a GPU that benchmarks below its specification-driven expectations. The system is best described as a CPU-first workstation or a gaming PC with a graphics bottleneck.

# Balance and Bottleneck

The data indicates a significant imbalance between the CPU and GPU. The CPU's 93rd percentile and average score of 64051 demonstrate exceptional computational power, while the GPU's 19th percentile and score of 3075 show limited graphics performance relative to the database. In CPU-bound workloads — such as multi-threaded rendering (Cinebench R23 multicore 51368), data encryption (47772), or integer math (211027) — the CPU will operate at full capacity, and the GPU will have minimal impact. In GPU-bound workloads — such as high-resolution gaming, 3D rendering with ray tracing, or compute-heavy AI tasks — the GPU is the limiting factor, as evidenced by its low percentile and the fact that it trails the Quadro P1000 by 2.8% in Steel Nomad. The FPS scaling, while estimated due to no measured data, would follow this pattern: at 1080p, the CPU may compensate for the GPU in some titles, but at higher resolutions, the GPU's 19th percentile position will cap frame rates. The bottleneck is clearly the GPU, and any upgrade path should focus on replacing it to unlock the CPU's full potential in graphics-intensive tasks.

# Usage Scenarios

High-refresh gaming: The CPU's single-thread score (1226 in 3DMark, 7252 in Cinebench R23) supports high frame rates in CPU-limited scenarios, but the GPU's 19th percentile limits overall performance. At 1080p, frame rates may be competitive, but at 1440p and above, the GPU is the bottleneck, making high-refresh (144+ Hz) unlikely in demanding titles. Users should expect moderate frame rates based on the GPU's benchmark position.

Streaming: The CPU's 24 cores and 32 threads, with a PassMark multithread score of 60644, can handle game capture and encoding simultaneously without significant performance loss. The GPU's 24 GB VRAM is ample for streaming software buffers, but the GPU's low compute score may limit in-game frame rates, affecting stream quality. The CPU's strength makes this scenario viable, but the GPU may require lower settings.

Video editing: The CPU excels here, with Cinebench R23 multicore at 51368 and Geekbench multicore at 23607, enabling fast timeline scrubbing and export rendering. The GPU's 1.02 TB/s bandwidth and 24 GB VRAM can accelerate effects and color grading, but the 19th percentile score suggests GPU-accelerated exports may be slower than expected. This is a CPU-dominated scenario with GPU assistance.

3D rendering: CPU rendering is strong, with R20 multicore at 21574 and R23 multicore at 51368, handling complex scenes efficiently. GPU rendering is weaker, as the RTX 5080 SUPER's 3075 Steel Nomad score places it below the Quadro P1000, indicating longer render times for GPU-accelerated engines. The 84 RT cores and 336 tensor cores are present, but the benchmark does not confirm a performance advantage.

Software development: The CPU's high single-thread (2771 Geekbench) and multithread (23607 Geekbench) scores speed up compilation and test execution. The extended instructions score of 48217 indicates efficient handling of modern instruction sets, benefiting code optimization. The GPU is less relevant, but its 24 GB VRAM could support local AI model training or testing, though the low compute score limits throughput.

Student and office work: The CPU's single-thread performance (4712 PassMark single thread) ensures snappy application launches and smooth multitasking. The GPU is overkill for word processing, spreadsheets, and web browsing, but the ECC memory support could be beneficial for data-intensive academic research. The system provides ample headroom for any office workload, with the GPU's 24 GB VRAM offering future capability for data visualization tasks.