SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KF + 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
97%
VS
GPU
79%
PROCESSOR

Intel Core i9-14900KF

79,371 Benchmark Score
Top 3% 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
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

# FAQ

Q: What is the Intel Core i9-14900KF's position among all CPUs?

A: The i9-14900KF sits in the 95th percentile of all CPUs, with an average benchmark score of 79,371. It trails the Intel Core Ultra 9 290HX Plus by just 0.3%, edges out the Intel Core i9-14900K by 0.3%, and sits 1.6% behind the Intel Xeon w5-2565X.

Q: How does the RTX 5080 SUPER compare to its nearest GPU rivals?

A: The RTX 5080 SUPER scores 3,075 in 3DMark Steel Nomad DX12, placing it in the 19th percentile of all GPUs. It is 2.8% behind the NVIDIA Quadro P1000, 3.1% ahead of the NVIDIA GeForce 820A, 3.4% behind the Intel Arc Pro B60, and 3.6% ahead of the NVIDIA GeForce GTX 860M.

Q: What are the core and thread counts of the i9-14900KF?

A: The i9-14900KF has 24 cores and 32 threads, based on Intel's Raptor Lake architecture. It operates on a 10 nm process node with a 257 mm² die size and a base clock of 3.20 GHz, boosting up to 6.00 GHz.

Q: What memory and PCIe specifications does the i9-14900KF support?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support enabled. It provides PCIe Gen 5 with 16 lanes from the CPU, and uses the Intel Socket 1700 platform.

Q: What is the RTX 5080 SUPER's memory configuration?

A: The GPU features 24 GB of GDDR7 memory on a 256-bit bus, delivering 1.02 TB/s of bandwidth. The memory runs at 2000 MHz with 32 Gbps effective speed, while the GPU boost clock reaches 2617 MHz.

Q: Are there measured FPS figures for this CPU+GPU combination?

A: No. The FACT PACK contains no measured FPS rows for this exact combination, so all gaming performance discussion must be treated as estimates derived from the benchmark scores rather than direct measurements.

Q: What is the combined percentile of this build?

A: The pairing of the i9-14900KF and RTX 5080 SUPER achieves a combined percentile of 57 across all systems, indicating it sits slightly above the midpoint of the database's tracked configurations.

# Usage Scenarios

High-refresh gaming: The i9-14900KF's single-core strength — a Geekbench single-core score of 2,727 and Cinebench R23 single-core of 6,969 — provides the per-thread responsiveness that high-refresh gaming demands. The RTX 5080 SUPER's 1.02 TB/s memory bandwidth and 56.28 TFLOPS FP32 throughput should sustain elevated frame rates, though the GPU's 19th percentile ranking suggests expectations must be tempered relative to top-tier cards.

Streaming: The 24-core, 32-thread CPU handles encoding and game workloads concurrently, evidenced by a Passmark multithread score of 58,405 and a Cinebench R23 multicore score of 49,370. The RTX 5080 SUPER adds 336 tensor cores and 84 RT cores, which can offload AI-based encoding tasks, though no measured streaming data exists in the pack.

Video editing: The CPU's multicore dominance, with a Geekbench multicore score of 23,789, accelerates timeline rendering and export tasks. The GPU's 24 GB GDDR7 memory and 1.02 TB/s bandwidth are ample for 4K and high-bitrate footage, while the 879.3 GTexel/s texture rate supports effects-heavy sequences.

3D rendering: The i9-14900KF's Cinebench R20 multicore score of 20,735 and R15 multicore score of 4,976 indicate strong CPU-based rendering throughput. The RTX 5080 SUPER's 56.28 TFLOPS FP32 and 56.28 TFLOPS FP16 (1:1) performance positions it for GPU-accelerated renderers, though its 19th percentile GPU score suggests mid-pack rendering capability among tracked GPUs.

Software development: Compilation workloads benefit from the CPU's 32 threads and Passmark integer math score of 209,125. The 36 MB shared L3 cache and 2 MB per-core L2 cache reduce memory latency for iterative builds, while the GPU's 1.02 TB/s bandwidth supports rapid shader compilation and code analysis tools.

Student and office work: The i9-14900KF's Passmark single-thread score of 4,685 ensures snappy application launches and spreadsheet responsiveness. The RTX 5080 SUPER is substantially overprovisioned for typical office tasks, but its 24 GB frame buffer could future-proof for data visualization or light GPU compute assignments.

# GPU Analysis

The RTX 5080 SUPER, built on NVIDIA's Blackwell 2.0 architecture with the GB203 chip, is a 5 nm TSMC part containing 45,600 million transistors on a 378 mm² die. Its 24 GB of GDDR7 memory on a 256-bit bus delivers 1.02 TB/s of bandwidth — a figure that dwarfs most competing GPUs' memory subsystems. The 2000 MHz memory clock with 32 Gbps effective speed pairs with a 2295 MHz base and 2617 MHz boost clock for the GPU core itself.

The compute configuration includes 10,752 shading units, 336 texture mapping units, and 112 ROPs. Pixel throughput reaches 293.1 GPixel/s, while texture rate hits 879.3 GTexel/s. The 84 RT cores and 336 tensor cores provide hardware acceleration for ray tracing and AI workloads, respectively, with FP32 and FP16 both rated at 56.28 TFLOPS (1:1 ratio). The GPU interfaces via PCIe 5.0 x16 and draws up to 415 W through a single 16-pin connector.

The benchmark data shows a 3DMark Steel Nomad DX12 score of 3,075, placing this GPU in the 19th percentile of all tracked GPUs. This is a surprisingly modest position — it sits within 3.6% of the NVIDIA GeForce GTX 860M and 3.1% ahead of the NVIDIA GeForce 820A, both of which are far older, lower-tier products. The RTX 5080 SUPER trails the Intel Arc Pro B60 by 3.4% and the NVIDIA Quadro P1000 by 2.8% in this specific test. The implication is that Steel Nomad DX12 may not be a favorable workload for this architecture, or the GPU's driver and hardware configuration underperforms in this synthetic scenario despite its substantial memory bandwidth and compute resources.

# Who Should Build It

Gamers targeting 1440p or 4K with ray tracing enabled will find the RTX 5080 SUPER's 24 GB frame buffer and 84 RT cores compelling, though its 19th percentile GPU score suggests it may not lead the pack in rasterized performance. The i9-14900KF's 95th percentile CPU standing ensures no processor bottleneck in most gaming scenarios, particularly at lower resolutions where CPU overhead dominates.

Content creators working with 8K video or large 3D scenes benefit from the GPU's 1.02 TB/s bandwidth and 24 GB GDDR7 capacity, which handles large textures and multi-layer compositing without swapping. The CPU's Cinebench R23 multicore score of 49,370 accelerates final renders, while the Passmark data compression score of 785,831 indicates fast archive operations for asset management.

Software developers building large C++ or Rust codebases gain from the 32 threads and 209,125 integer math score, reducing full rebuild times. The 36 MB L3 cache keeps working sets local, and the dual-channel DDR4/DDR5 support allows flexible memory configurations.

Students in engineering or data science programs receive a workstation-class CPU with a GPU that, while below the 50th percentile in benchmarks, offers 24 GB of VRAM for ML experiments and CUDA-accelerated workloads. Small business workstations handling database workloads, virtualization, or financial modeling use the CPU's Passmark multithread score of 58,405 and data encryption score of 46,416 for responsive multi-tenant operations.

# Balance and Bottleneck

The combined percentile of 57 reveals a notable imbalance: the CPU sits at the 95th percentile while the GPU rests at the 19th. This 76-point gap indicates the i9-14900KF drastically outpaces the RTX 5080 SUPER in relative performance, meaning the GPU will be the limiting factor in most GPU-bound workloads.

In gaming at 1080p or 1440p with reduced settings, the CPU's single-core strength — Geekbench single-core 2,727 and Passmark single-thread 4,685 — may still outrun the GPU's frame generation capability, but the GPU's low percentile ranking suggests it becomes the bottleneck at higher resolutions or with quality settings maxed. The 3DMark Steel Nomad score of 3,075 versus the CPU's near-top-tier standing implies that frame rates will be constrained by the GPU's rendering throughput well before the CPU's processing capacity is exhausted.

For CPU-bound tasks like compilation, data compression (785,831 Passmark score), or encryption (46,416), the GPU is irrelevant, and the CPU's 95th percentile position means it is rarely the limiter. Conversely, for GPU compute workloads like FP32 math or ray tracing, the RTX 5080 SUPER's 19th percentile standing means it will cap performance regardless of the CPU's capability. The FPS scaling evidence, though not directly measured, follows from this imbalance: the GPU's 56.28 TFLOPS FP32 and 1.02 TB/s bandwidth define the ceiling, while the CPU's 6.00 GHz boost clock and 32 threads ensure it never compounds the bottleneck.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination — the FACT PACK contains no rows in measuredFpsUltraByGame. All frame rate figures below are estimates derived from the benchmark scores and should be treated as expectations rather than empirical results.

The i9-14900KF's Cinebench R23 single-core score of 6,969 and Geekbench single-core of 2,727 indicate excellent per-thread performance, which typically translates to high minimum frame rates in CPU-bound titles. The RTX 5080 SUPER's 3DMark Steel Nomad DX12 score of 3,075, however, places it in the 19th percentile of GPUs, suggesting it will deliver playable but not class-leading frame rates at 4K ultra settings. At 1080p ultra, the CPU's 95th percentile standing should keep frame rates high, but the GPU's modest percentile ranking may cap maximum FPS below what the CPU could otherwise support. At 1440p ultra, the balance shifts more toward the GPU, and the 24 GB memory capacity allows high-resolution textures without capacity concerns. The 293.1 GPixel/s pixel rate and 879.3 GTexel/s texture rate provide the raw throughput for modern game engines, while the 84 RT cores enable ray-traced effects, though at a performance cost given the GPU's lower percentile position.

# Benchmark Performance

The i9-14900KF achieves an average benchmark score of 79,371, placing it in the 95th percentile of all CPUs. Its nearest rival, the Intel Core Ultra 9 290HX Plus, scores 79,574 — just 0.3% higher. The Intel Core i9-14900K scores 79,097, a 0.3% deficit. The AMD EPYC 7413 scores 80,041 (0.8% ahead), and the Intel Xeon w5-2565X scores 80,671 (1.6% ahead). These margins are razor-thin, indicating the i9-14900KF sits at the very top of consumer CPU performance.

Specific CPU benchmarks include Cinebench R15 multicore at 4,976 and single-core at 702; Cinebench R20 multicore at 20,735 and single-core at 2,926; Cinebench R23 multicore at 49,370 and single-core at 6,969; Geekbench multicore at 23,789 and single-core at 2,727; Passmark multithread at 58,405 and single-thread at 4,685. The Passmark suite shows specialized strengths: data compression at 785,831, encryption at 46,416, extended instructions at 44,839, floating-point math at 151,918, integer math at 209,125, and random string sorting at 86,564.

The RTX 5080 SUPER scores 3,075 in 3DMark Steel Nomad DX12, placing it in the 19th percentile of all GPUs. Its nearest rivals — the NVIDIA Quadro P1000 (3,163, 2.8% ahead), NVIDIA GeForce 820A (2,983, 3.1% behind), Intel Arc Pro B60 (3,182, 3.4% ahead), and NVIDIA GeForce GTX 860M (2,967, 3.6% behind) — are all dramatically lower-tier products. The combined picture is a top-5% CPU paired with a bottom-20% GPU, creating a system whose overall benchmark profile is dominated by the processor's exceptional multicore and single-core results.

# Build Overview

This is a desktop-class build pairing the Intel Core i9-14900KF with the NVIDIA GeForce RTX 5080 SUPER. The CPU is a 24-core, 32-thread Raptor Lake part with a 6.00 GHz boost clock, while the GPU is a Blackwell 2.0 architecture card with 24 GB GDDR7 memory. The combined percentile of 57 places this system slightly above the midpoint of tracked configurations, though this average masks the extreme disparity between the CPU's 95th percentile and GPU's 19th percentile standings.

The i9-14900KF's launch MSRP was $564, and the RTX 5080 SUPER's launch MSRP was $999 USD. The system's overall tier is best described as a CPU-heavy workstation with a mid-range GPU, where the processor delivers top-tier compute performance but the graphics card lags significantly behind the leading edge. The build targets users who prioritize CPU-intensive workloads over GPU-accelerated tasks, though the GPU still provides 24 GB of memory and modern feature support for gaming and light rendering.

# CPU Analysis

The Intel Core i9-14900KF is a 24-core, 32-thread processor built on the Raptor Lake architecture with a Raptor Lake-R codename. It uses Intel's 10 nm process node with a 257 mm² die size, and features a base clock of 3.20 GHz with a boost clock of 6.00 GHz. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. It supports dual-channel DDR4 and DDR5 memory with ECC capability, and provides 16 PCIe Gen 5 lanes from the CPU. The multiplier is unlocked for overclocking, and the TDP is rated at 125 W.

Benchmark results show this CPU at the 95th percentile of all processors. The Cinebench R23 multicore score of 49,370 and Geekbench multicore of 23,789 reflect excellent multi-threaded throughput, driven by the 32 threads and high boost clock. Single-core performance is equally impressive: Cinebench R23 single-core of 6,969 and Geekbench single-core of 2,727 indicate that lightly-threaded workloads like gaming or legacy applications receive full benefit from the 6.00 GHz clock.

The Passmark results reveal specialized strengths. The data compression score of 785,831 is exceptionally high, indicating fast archive and file I/O operations. Integer math at 209,125 and floating-point math at 151,918 show balanced ALU and FPU capability, while encryption at 46,416 and extended instructions at 44,839 support secure and vectorized workloads. The physics score of 3,159 and prime number finding at 231 are comparatively lower, suggesting that certain niche workloads may not scale as well with this architecture.

The nearest rivals are all within 1.6% of the i9-14900KF's average score, confirming that this CPU sits at the frontier of consumer processor performance. The 95th percentile ranking means only 5% of tracked CPUs outperform it, making it a top-tier choice for any CPU-bound application.

# Upgrade Path and Platform

The i9-14900KF uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. PCIe Gen 5 is available with 16 lanes from the CPU, providing the bandwidth needed for the RTX 5080 SUPER's PCIe 5.0 x16 interface. The CPU's TDP of 125 W and the GPU's TDP of 415 W combine to require a robust power supply; the GPU draws through a single 16-pin connector.

The upgrade path is constrained by the platform's maturity. Socket 1700 is the endpoint for the 14th Gen Core series, so future CPU upgrades would require a new motherboard. However, the current CPU's 95th percentile standing means few upgrades would provide meaningful gains within the same platform. A more sensible next upgrade would target the GPU, given its 19th percentile ranking — replacing it with a higher-performing card would rebalance the system and unlock the CPU's full potential in gaming and GPU compute workloads.

Memory upgrades remain feasible, with support for both DDR4 and DDR5 allowing users to retain existing RAM or migrate to newer modules. The dual-channel bus is a limitation for memory-bandwidth-sensitive workloads, but the 36 MB L3 cache mitigates this for many applications. PCIe Gen 5 storage or expansion cards can be added within the 16 available lanes, though the GPU already consumes the primary x16 slot. The 415 W GPU TDP means the power supply must be sized to handle both the CPU's 125 W and the GPU's draw simultaneously, so users should verify their PSU's capacity before any component swap.