SYSTEM ANALYZER

Rate My PC: Intel Core i9-14901E + NVIDIA GeForce RTX 5080 SUPER

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
92%
VS
GPU
79%
PROCESSOR

Intel Core i9-14901E

37,911 Benchmark Score
Top 8% 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

# Gaming Performance — Estimated Frame Rates from Benchmark Scores

The FACT PACK contains no measured FPS rows for this exact CPU+GPU combination. All frame rate discussion below is therefore estimated from the benchmark scores of each component, not from direct gameplay testing. The data shows a pairing of a CPU at the 86th percentile among all processors and a GPU at the 19th percentile among all graphics cards, which suggests a significant imbalance that will shape gaming expectations.

For 1080p gaming, the Intel Core i9-14901E's strong single-thread performance — a Cinebench R23 single-core score of 3635 and a Passmark single-thread score of 4354 — indicates it can feed frames rapidly enough for high-refresh-rate monitors. However, the NVIDIA GeForce RTX 5080 SUPER's benchmark position, with a 3DMark Steel Nomad DX12 score of 3075 placing it at just the 19th percentile, is the limiting factor. The GPU trails the NVIDIA Quadro P1000 by 2.8% and the Intel Arc Pro B60 by 3.4% in average score, while leading the NVIDIA GeForce 820A by 3.1% and the NVIDIA GeForce GTX 860M by 3.6%. These are modest margins against older or lower-tier hardware, suggesting that at 1080p with ultra settings, frame rates would be modest rather than exceptional, likely in the range that older mid-range GPUs achieve rather than the high-end tier implied by the RTX 5080 SUPER's name.

Moving to 1440p, the gap between CPU capability and GPU capability becomes more pronounced. The i9-14901E's multicore scores — 25753 in Cinebench R23 and 30298 in Passmark multithread — are irrelevant to the GPU-bound rendering workload at this resolution. The RTX 5080 SUPER's 24 GB of GDDR7 memory and 1.02 TB/s bandwidth provide ample memory headroom for high-resolution textures, but the raw compute throughput of 56.28 TFLOPS FP32, while substantial on paper, does not translate to competitive benchmark positioning. At 1440p ultra, estimated frame rates would be moderate, with the GPU's 112 ROPs and 336 TMUs working at full capacity but still leaving the CPU largely idle. The pixel rate of 293.1 GPixel/s and texture rate of 879.3 GTexel/s are solid figures, yet the benchmark percentile suggests real-world gaming performance sits well below what the hardware specifications alone would imply.

At 4K ultra, the picture is similar but with even heavier reliance on the GPU. The estimated frame rates would be lower across the board, likely falling below the smooth 60 FPS threshold for demanding titles. The RTX 5080 SUPER's 84 RT cores and 336 tensor cores suggest it should handle ray tracing and DLSS workloads competently, but without measured FPS data, these remain qualitative expectations. The CPU's 80 KB L1 cache per core, 2 MB L2 cache per core, and 36 MB shared L3 cache provide solid memory latency characteristics that help with frame pacing, but they cannot compensate for a GPU that benchmarks at only 19% of all graphics cards. In summary, the estimated gaming experience is one of CPU overdelivery and GPU underdelivery, with the RTX 5080 SUPER's actual performance tier being the decisive factor across all resolutions.

# Upgrade Path and Platform

The Intel Core i9-14901E uses the Intel Socket 1700 platform, which is a mature socket with broad motherboard availability. Memory support includes both DDR4 and DDR5, with a dual-channel memory bus, giving builders flexibility to reuse older DDR4 kits or move to newer DDR5 modules. The platform supports ECC memory, which is a notable feature for workstation reliability. PCIe connectivity is Gen 5 with 16 lanes from the CPU, ensuring compatibility with the latest graphics cards and NVMe storage devices. The GPU, an NVIDIA GeForce RTX 5080 SUPER, uses a PCIe 5.0 x16 bus interface, which pairs correctly with the CPU's PCIe Gen 5 lanes for full bandwidth utilization.

The CPU's thermal design power (TDP) is 65 W, which is modest for a Core i9-class processor. This low TDP means a capable air cooler is sufficient for most workloads, and the platform does not demand exotic liquid cooling. The GPU, in contrast, has a TDP of 415 W, which is substantial. The FACT PACK does not list a suggested PSU for this GPU, but the 415 W TDP, combined with the 65 W CPU TDP, indicates that a high-wattage power supply is necessary to handle peak loads. The GPU uses a single 16-pin power connector and is dual-slot in width, measuring 304 mm in length, 137 mm in height, and 40 mm in width, so case compatibility with long GPUs is a consideration.

A sensible next upgrade path for this platform would focus on the GPU first. The CPU's 86th percentile ranking among all processors means it has substantial headroom, while the GPU's 19th percentile ranking is the clear bottleneck. Upgrading to a higher-performing graphics card would yield the most significant performance gains for gaming and GPU-accelerated workloads. The CPU's socket 1700 platform is at the end of its generational runway, so a CPU upgrade would likely require a motherboard change. However, the i9-14901E's 8 cores and 16 threads, with a boost clock of 5.60 GHz, remain competitive for most tasks, so a platform change is not immediately necessary. Memory upgrades from DDR4 to DDR5 (or higher-speed DDR5) could provide marginal gains, but the dual-channel bus means the platform is not designed for extreme memory bandwidth. Overall, the upgrade path is straightforward: replace the GPU when performance demands it, and defer CPU/platform changes until the 65 W TDP processor becomes a genuine limitation.

# Balance and Bottleneck

The benchmark data reveals a severe imbalance between the CPU and GPU in this pairing. The Intel Core i9-14901E sits at the 86th percentile among all CPUs, with an average benchmark score of 37911. Its nearest rivals include the AMD Ryzen AI 9 HX 370 (avg score 37904, delta 0%), the AMD Ryzen 7 9700X (avg score 37943, delta -0.1%), the Intel Core 5 211E (avg score 37829, delta 0.2%), and the AMD Ryzen AI Embedded P132 (avg score 37804, delta 0.3%). These margins are all within 0.3%, indicating the i9-14901E is performance-equivalent to a tight cluster of modern mid-range and high-end processors. The CPU can handle demanding multi-threaded workloads, as evidenced by its Cinebench R23 multicore score of 25753 and Passmark integer math score of 112736.

The GPU, however, is a different story. The NVIDIA GeForce RTX 5080 SUPER ranks at only the 19th percentile among all GPUs, with a single benchmark score of 3075 in 3DMark Steel Nomad DX12. Its nearest rivals are the NVIDIA Quadro P1000 (avg score 3163, delta -2.8%), the NVIDIA GeForce 820A (avg score 2983, delta 3.1%), the Intel Arc Pro B60 (avg score 3182, delta -3.4%), and the NVIDIA GeForce GTX 860M (avg score 2967, delta 3.6%). The GPU is essentially trading blows with older professional cards and mobile GPUs from years past. This means that in gaming workloads, the GPU is the overwhelming bottleneck. The CPU's high single-thread and multithread scores cannot translate into higher frame rates if the GPU cannot render frames fast enough.

The combined percentile for this pairing is 53, which reflects the offsetting effects of a strong CPU and a weak GPU. In CPU-bound workloads like data compression (Passmark score 288777), encryption (18571), and floating-point math (81089), the i9-14901E excels, and the GPU's limitations are irrelevant. In GPU-bound workloads like gaming at high resolutions or 3D rendering, the RTX 5080 SUPER's low percentile dominates the experience. The FPS scaling evidence, while not measured directly, can be inferred: at lower resolutions where CPU matters more, the i9-14901E would push higher frame rates, but the GPU's ceiling would still cap performance. At higher resolutions, the GPU's relative weakness becomes even more pronounced. This is a pairing where the CPU is overqualified and the GPU is underqualified for balanced gaming; it is only in non-graphics tasks that the system achieves equilibrium.

# Who Should Build It

This build targets users who prioritize CPU-heavy workloads over gaming or GPU-accelerated tasks. The Intel Core i9-14901E's 86th percentile ranking makes it a strong choice for professionals and enthusiasts who need fast multi-threaded processing. Content creators working with video encoding, 3D modeling, or software compilation would benefit from the CPU's Cinebench R23 multicore score of 25753 and Passmark multithread score of 30298, which indicate robust parallel performance. Developers compiling large codebases or running virtual machines would appreciate the 8 cores and 16 threads, along with ECC memory support for data integrity. Students in computer science or engineering fields could use this system for intensive simulations or data analysis, where the CPU's floating-point and integer math scores (81089 and 112736, respectively) are valuable.

For gamers, this build is less suitable. The RTX 5080 SUPER's 19th percentile ranking means that at 1080p or 1440p with ultra settings, frame rates would be modest, not competitive with even mid-range GPUs from recent generations. Gamers who play esports titles at low settings might find the CPU's single-thread performance (Passmark single-thread score 4354) sufficient to drive high frame rates, but the GPU would still cap performance. Small business workstations, on the other hand, could benefit from this pairing if the primary tasks are CPU-bound — spreadsheet processing, database management, or office productivity — where the GPU's weaknesses are irrelevant. The 65 W TDP of the CPU also makes this a power-efficient choice for office environments, though the 415 W GPU TDP offsets some of that efficiency.

The build is best described as a workstation with gaming pretensions. The CPU is the star, and the GPU is a weak companion. Users who need a powerful processor for rendering, compiling, or scientific computing, and who occasionally play less demanding games, would find this acceptable. However, anyone building primarily for gaming at high settings should look elsewhere, as the GPU's benchmark position clearly indicates it cannot deliver a high-end gaming experience. The 24 GB VRAM and 1.02 TB/s bandwidth of the GPU are generous for professional workloads like large dataset visualization or machine learning inference, even if gaming performance lags, so this could also appeal to researchers who need GPU memory capacity more than raw gaming FPS.

# CPU Analysis

The Intel Core i9-14901E is a desktop processor from Intel's Core 14th Gen series, built on the Raptor Lake architecture with the Raptor Lake-R codename. It has 8 cores and 16 threads, with a base clock of 2.80 GHz and a boost clock of 5.60 GHz. The process node is 10 nm, manufactured by Intel, with a die size of 257 mm². The cache hierarchy includes 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 36 MB of shared L3 cache. Memory support includes DDR4 and DDR5 in dual-channel mode, with ECC memory capability. The CPU uses Intel Socket 1700 and has 16 PCIe Gen 5 lanes from the CPU. It includes integrated graphics in the form of UHD Graphics 770, and the multiplier is locked, so overclocking is not supported. The release date is 2024-06-30, and the production status is Active.

The benchmark scores for the i9-14901E show a processor that performs extremely well in single-threaded and lightly-threaded workloads. The Cinebench R15 single-core score is 366, the R20 single-core score is 1526, and the R23 single-core score is 3635. These scores are consistent with a 5.60 GHz boost clock and indicate excellent IPC (instructions per clock) for the Raptor Lake architecture. In multi-threaded workloads, the scores are 2595 (R15), 10816 (R20), and 25753 (R23). The Passmark scores further break down performance: multithread score of 30298, single-thread score of 4354, integer math of 112736, floating-point math of 81089, data compression of 288777, data encryption of 18571, extended instructions of 17249, find prime numbers of 189, physics of 3041, and random string sorting of 39138. These numbers paint a picture of a processor that is strong across the board, with particularly impressive integer math and data compression scores.

The 86th percentile ranking among all CPUs places the i9-14901E in the upper tier of processors, but not at the very top. Its nearest rivals, including the AMD Ryzen AI 9 HX 370 and AMD Ryzen 7 9700X, have nearly identical average scores, with deltas of 0% and -0.1%, respectively. This means the i9-14901E is essentially tied with these modern competitors, despite having fewer cores (8 vs. the 12 or 16 that some rivals offer). The high boost clock and large L3 cache compensate for the lower core count in many workloads. For real-world use, this CPU can handle demanding productivity tasks, content creation, and even some server-like workloads (thanks to ECC memory support), all within a 65 W TDP. The absence of an unlocked multiplier limits enthusiast overclocking, but the stock boost clock of 5.60 GHz is already high. The average benchmark score of 37911 confirms its position as a high-end but not flagship processor.

# FAQ

Q: What is the Intel Core i9-14901E's benchmark percentile among all CPUs?

A: The CPU ranks at the 86th percentile among all processors, with an average benchmark score of 37911.

Q: How does the RTX 5080 SUPER compare to its nearest rivals in benchmark scores?

A: The GPU scores 3075 in 3DMark Steel Nomad DX12, which is 2.8% below the NVIDIA Quadro P1000 (3163), 3.4% below the Intel Arc Pro B60 (3182), 3.1% above the NVIDIA GeForce 820A (2983), and 3.6% above the NVIDIA GeForce GTX 860M (2967).

Q: Does the CPU support error-correcting memory?

A: Yes, the Intel Core i9-14901E supports ECC memory, which is a feature typically found in workstation or server platforms.

Q: What memory types and PCIe version does the platform support?

A: The CPU supports both DDR4 and DDR5 memory in dual-channel mode, and provides 16 PCIe Gen 5 lanes from the CPU.

Q: What is the TDP of the CPU and GPU, and what does that imply for cooling?

A: The CPU has a TDP of 65 W, which is modest and easy to cool, while the GPU has a TDP of 415 W, which requires robust cooling and a capable power supply.

Q: Is the CPU multiplier unlocked for overclocking?

A: No, the multiplier is locked, so the boost clock of 5.60 GHz is the maximum out-of-the-box performance.

Q: What is the GPU's memory configuration?

A: The RTX 5080 SUPER has 24 GB of GDDR7 memory on a 256-bit bus, with 1.02 TB/s of memory bandwidth.

# GPU Analysis

The NVIDIA GeForce RTX 5080 SUPER is a desktop graphics card from the GeForce 50-series, based on the Blackwell 2.0 architecture with the GB203 chip. It is manufactured by TSMC on a 5 nm process, with 45,600 million transistors on a 378 mm² die, giving a transistor density of 120.6 million per mm². The GPU has a base clock of 2295 MHz and a boost clock of 2617 MHz, with memory clocked at 2000 MHz (32 Gbps effective). The memory configuration is 24 GB of GDDR7 on a 256-bit bus, providing 1.02 TB/s of bandwidth. The GPU has 10752 shading units, 336 TMUs, 112 ROPs, 84 RT cores, and 336 tensor cores. The pixel rate is 293.1 GPixel/s, the texture rate is 879.3 GTexel/s, and the FP32 throughput is 56.28 TFLOPS (with FP16 at the same 56.28 TFLOPS, a 1:1 ratio). The TDP is 415 W, and the card is dual-slot, using a single 16-pin power connector. It has 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs, and supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The release date is 2025-12-31, and it is currently in Active production.

The benchmark performance of the RTX 5080 SUPER is surprisingly weak given its modern architecture and generous specs. The 3DMark Steel Nomad DX12 score of 3075 places it at the 19th percentile among all GPUs, which is well below what the hardware specifications would suggest. Its nearest rivals are older or lower-tier cards: the NVIDIA Quadro P1000 (3163, 2.8% higher), the Intel Arc Pro B60 (3182, 3.4% higher), the NVIDIA GeForce 820A (2983, 3.1% lower), and the NVIDIA GeForce GTX 860M (2967, 3.6% lower). This clustering with professional cards from previous generations and mobile GPUs indicates that the RTX 5080 SUPER's real-world performance does not match its intended high-end positioning. The 84 RT cores and 336 tensor cores suggest it should excel in ray tracing and AI-accelerated tasks, but the benchmark data shows it is not competitive with even mid-range cards in synthetic DX12 tests.

For rendering workloads, the GPU's 24 GB VRAM and 1.02 TB/s bandwidth are substantial assets, allowing for large textures and complex scenes in 3D applications. The 56.28 TFLOPS FP32 and FP16 throughput provide solid compute capability for tasks like video encoding or scientific simulation. However, the low percentile ranking means that in practice, the GPU will underperform relative to its specifications in most GPU-bound tasks. The 112 ROPs and 336 TMUs are modest for a card with a 415 W TDP, suggesting that fill-rate limited scenarios will be a bottleneck. The launch MSRP is 999 USD, which positions it at a high price point, but the benchmark scores do not justify that tier. The GPU's performance is better suited to memory-capacity-intensive professional workloads than to high-FPS gaming or competitive rendering.

# Build Overview

This build combines the Intel Core i9-14901E, a high-end desktop CPU, with the NVIDIA GeForce RTX 5080 SUPER, a desktop GPU that benchmarks in the lower quintile of graphics cards. The build class is desktop, and the combined percentile for this pairing is 53, which is exactly in the middle of all systems. This is a curious combination: the CPU is at the 86th percentile, while the GPU is at the 19th percentile, resulting in a system that is stronger in processor-bound tasks than in graphics-bound tasks. The i9-14901E is a Raptor Lake Refresh part with 8 cores and 16 threads, a boost clock of 5.60 GHz, and a 65 W TDP, making it a power-efficient yet fast processor. The RTX 5080 SUPER, despite its modern Blackwell 2.0 architecture and 24 GB of GDDR7 memory, performs at a level comparable to much older or lower-tier GPUs, which drags down the overall system tier.

In terms of overall tier, this build is best classified as a workstation-oriented desktop with a weak gaming component. The CPU's performance would satisfy demanding productivity users, but the GPU's low percentile means it cannot deliver a high-end gaming or rendering experience. The combined percentile of 53 reflects this split personality — it is neither a top-tier gaming rig nor a bottom-tier office machine, but rather a system where the CPU boosts the average while the GPU pulls it down. The launch MSRP of the GPU is 999 USD, which is a significant investment for a component that benchmarks at the 19th percentile, making the overall build's cost-effectiveness questionable. The system is suitable for users who need CPU horsepower and can tolerate GPU limitations, but it is not a balanced gaming or content creation platform.

# Benchmark Performance

The benchmark data for this pairing is derived from individual component scores, as no combined FPS measurements exist. The Intel Core i9-14901E has an average benchmark score of 37911, placing it at the 86th percentile among all CPUs. Its key scores include a Cinebench R23 multicore score of 25753 and a single-core score of 3635, a Cinebench R20 multicore score of 10816 and a single-core score of 1526, and a Cinebench R15 multicore score of 2595 and a single-core score of 366. In Passmark tests, the CPU scores 30298 in multithread, 4354 in single-thread, 112736 in integer math, 81089 in floating-point math, 288777 in data compression, 18571 in data encryption, 17249 in extended instructions, 189 in find prime numbers, 3041 in physics, and 39138 in random string sorting. These scores show a processor that is highly competitive with its nearest rivals, all of which are within 0.3% of its average score.

The NVIDIA GeForce RTX 5080 SUPER has a single benchmark score of 3075 in 3DMark Steel Nomad DX12, placing it at the 19th percentile among all GPUs. Its nearest rivals are the NVIDIA Quadro P1000 (3163, -2.8% delta), the Intel Arc Pro B60 (3182, -3.4% delta), the NVIDIA GeForce 820A (2983, +3.1% delta), and the NVIDIA GeForce GTX 860M (2967, +3.6% delta). The GPU's average benchmark score is 3075, which is identical to its single score, indicating that only one benchmark was recorded for this card. The combined picture is of a system where the CPU is a top-tier performer and the GPU is a bottom-tier performer, resulting in a combined percentile of 53. The CPU's benchmark scores are 86% better than the median CPU, while the GPU's scores are 81% worse than the median GPU. This means that in any workload that uses both components — such as gaming — the GPU will be the limiting factor, while in CPU-only workloads, the system will perform at a high level. The data clearly shows that this is a CPU-first build, with the GPU acting as a weak secondary component.