SYSTEM ANALYZER

Rate My PC: Intel Core i9-14901E + NVIDIA GeForce RTX 4080 SUPER

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

94 / 100
ULTIMATE READY

Apex Performer

Top 6% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
92%
VS
GPU
96%
PROCESSOR

Intel Core i9-14901E

37,911 Benchmark Score
Top 8% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4080 SUPER

54,209 Benchmark Score
Top 4% 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

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 i9-14901E and NVIDIA GeForce RTX 4080 SUPER form a desktop build that occupies the 86th percentile for both its CPU and GPU, placing it firmly in the upper echelon of hardware performance. The processor, a Raptor Lake-R part on the Intel Socket 1700 platform, delivers strong multi-threaded throughput with a modest 65 W thermal design power, while the graphics card, based on Ada Lovelace architecture, provides data-center-adjacent compute capabilities in a consumer package. This analysis interprets the benchmark data to determine how this pairing behaves across productivity and gaming workloads, what its bottlenecks are, and who should consider building it.

CPU Analysis

The Intel Core i9-14901E is an 8-core, 16-thread processor from the Core 14th Gen series, built on Intel’s 10 nm process node with a die size of 257 mm². It runs at a base clock of 2.80 GHz and boosts up to 5.60 GHz, with a 36 MB shared L3 cache and 2 MB L2 cache per core. Unlike many high-end desktop parts, this chip has a 65 W TDP, making it an outlier in the Core i9 segment—it prioritizes efficiency over raw power draw. The processor supports DDR4 and DDR5 memory in a dual-channel configuration, includes ECC memory support, and offers PCIe Gen 5 with 16 CPU lanes, alongside integrated UHD Graphics 770 for basic display output.

Benchmark results show a processor that is remarkably consistent in single-core performance but competitive in multi-core tasks despite its core count. In Cinebench R23, the chip scores 25,753 in multi-core and 3,635 in single-core. The single-core score of 3,635 is high relative to its 5.60 GHz boost clock, indicating strong per-thread efficiency. The multi-core score of 25,753, achieved with only 8 physical cores, is notable because it rivals many 16-core parts that consume significantly more power. The PassMark multithread score of 30,298 further confirms this, while the single-thread score of 4,354 suggests excellent responsiveness in lightly-threaded applications.

The data positions this CPU at the 86th percentile of all processors, with an average benchmark score of 37,911. Its nearest rivals are tightly clustered: the AMD Ryzen AI 9 HX 370 scores 37,904 (0% delta), the AMD Ryzen 7 9700X scores 37,943 (-0.1%), the Intel Core 5 211E scores 37,829 (0.2%), and the AMD Ryzen AI Embedded P132 scores 37,804 (0.3%). These deltas are negligible, meaning the i9-14901E performs within a hair of these alternatives—all within a 0.3% range. For real workloads, this means the processor will not be the deciding factor in a system’s performance when compared to these specific rivals; instead, differences will emerge in platform features and power characteristics.

In productivity tasks, the PassMark data reveals specific strengths. The data compression score of 288,777 is high, indicating rapid file archiving and decompression. Data encryption scores 18,571, and extended instructions score 17,249, suggesting solid cryptographic and SIMD workload performance. Floating-point math scores 81,089, while integer math scores 112,736—the latter being particularly strong for general-purpose computing. The physics score of 3,041 and prime number finding score of 189 are moderate, but these are less representative of typical workloads. The 65 W TDP means sustained all-core loads will be thermally manageable with a capable air cooler, though the boost clock of 5.60 GHz may be limited by cooling under prolonged stress.

FAQ

Q: Does the Intel Core i9-14901E support ECC memory?

A: Yes, the processor has ECC memory support, which is unusual for a consumer desktop CPU and makes it suitable for workstation builds where data integrity is critical.

Q: What is the performance difference between the Core i9-14901E and the AMD Ryzen 7 9700X?

A: The average benchmark scores are nearly identical: the i9-14901E scores 37,911, while the Ryzen 7 9700X scores 37,943, a delta of -0.1%. This means performance is effectively the same in aggregate benchmarks.

Q: How much L3 cache does the processor have?

A: The i9-14901E has 36 MB of shared L3 cache, which is shared across all 8 cores.

Q: What is the maximum boost clock of the CPU?

A: The maximum boost clock is 5.60 GHz, achieved on a single core under load.

Q: Does the RTX 4080 SUPER outperform the standard RTX 4080?

A: The data shows the RTX 4080 SUPER has an average benchmark score of 54,209, while the RTX 4080 scores 54,247, a delta of -0.1%. The SUPER is slightly behind in aggregate benchmarks, though the difference is negligible.

Q: What is the power supply requirement for this build?

A: The suggested PSU for the RTX 4080 SUPER is 700 W, which accounts for the GPU’s 320 W TDP and the CPU’s 65 W TDP, leaving headroom for other components.

Q: What is the combined percentile of this CPU and GPU pairing?

A: The build has a combined percentile of 86, meaning it outperforms 86% of all tested configurations in the database.

Balance and Bottleneck

The balance between the Intel Core i9-14901E and the NVIDIA GeForce RTX 4080 SUPER is determined by their respective percentile positions—both sit at the 86th percentile. This alignment suggests a well-matched pairing where neither component drastically outstrips the other in aggregate performance. However, workload-specific benchmarks reveal where bottlenecks may occur. The CPU’s 65 W TDP and 8-core design mean it excels in single-threaded and moderately threaded tasks, but in heavily multi-threaded scenarios, it may lag behind higher-core-count rivals. The GPU, with a 320 W TDP and 16 GB of GDDR6X memory, is designed for high-resolution rendering and compute, which shifts the bottleneck toward the CPU in gaming at lower resolutions.

In gaming, the CPU is unlikely to be the primary limiter at higher resolutions, as the GPU’s 736.3 GB/s memory bandwidth and 52.22 TFLOPS FP32 performance will dominate scene rendering. At 1080p or 1440p, however, the CPU’s single-thread performance becomes more critical. The Cinebench R23 single-core score of 3,635 is strong, but not class-leading; the PassMark single-thread score of 4,354 is competitive. This means that in CPU-bound scenarios, such as high-refresh-rate esports titles at 1080p, the processor may cap frame rates below what the GPU could theoretically deliver. Conversely, in 4K gaming or GPU-accelerated rendering, the GPU becomes the bottleneck, and the CPU’s 65 W TDP ensures it will not throttle due to power limits.

For content creation, the balance shifts. The CPU’s multi-core score of 25,753 in Cinebench R23 is sufficient for video encoding and 3D rendering, but the GPU’s compute capabilities (PassMark GPU compute score of 19,822) can offload many of these tasks. In workloads like Blender or Premiere Pro that use GPU acceleration, the RTX 4080 SUPER will be the limiting factor in terms of rendering speed, while the CPU handles scene logic and file I/O. The PassMark data compression score of 288,777 indicates fast disk and memory operations, reducing stutter during large file transfers. Overall, the bottleneck is workload-dependent: CPU-bound at low resolutions, GPU-bound at high resolutions and in compute-heavy tasks.

Who Should Build It

This build targets users who need high-end gaming performance with a side of professional compute capability, all within a desktop form factor. The 86th percentile combined score places it in the top tier of systems, suitable for enthusiasts and professionals who cannot tolerate mid-range compromises. Gamers at 4K resolution will benefit most, as the GPU’s 16 GB VRAM and high bandwidth are designed for ultra-high-detail textures and ray tracing. The CPU’s 5.60 GHz boost clock ensures that even at lower resolutions, frame pacing remains smooth, though the 8-core limit may show in the most demanding simulation games.

Content creators working with video editing or 3D rendering will find the combination adequate, but not without caveats. The CPU’s multi-core performance is sufficient for 4K timeline scrubbing and export, while the GPU accelerates effects and renders via CUDA cores. The ECC memory support is a distinct advantage for long-running render jobs where memory errors could corrupt frames. Software developers compiling large codebases will appreciate the integer math score of 112,736, which accelerates build times, and the data encryption score of 18,571 supports secure compilation and signing. Students in engineering or computer science fields can use this for simulation workloads, though the 65 W TDP means quieter operation in shared spaces.

Small business workstations that run virtual machines or database servers will benefit from the memory support and ECC capability, while the integrated UHD Graphics 770 provides a fallback for troubleshooting. The RTX 4080 SUPER, with its 80 RT cores and 320 tensor cores, is overkill for office tasks but provides headroom for future AI workloads or GPU-accelerated analytics. This is not a budget-conscious build; it is a performance-first system for those who demand top-tier results in both gaming and productivity.

Benchmark Performance

The CPU’s benchmark suite is comprehensive, with an average score of 37,911 and a percentile of 86. In Cinebench R15, the multi-core score is 2,595 and single-core is 366. In Cinebench R20, multi-core reaches 10,816 and single-core 1,526. The Cinebench R23 scores of 25,753 multi-core and 3,635 single-core are the most representative of modern rendering workloads. PassMark results show a multithread score of 30,298, with floating-point math at 81,089 and integer math at 112,736. The data compression score of 288,777 is one of the highest in the dataset, indicating excellent file-handling performance.

The GPU benchmarks are equally strong, with an average score of 54,209 and a percentile of 86. In 3DMark Steel Nomad DX12, the score is 6,600, which is a demanding test for modern graphics cards. Geekbench OpenCL scores 219,065 and Vulkan scores 260,075, showing strong cross-API compute performance. PassMark G3D scores 34,245, while G2D scores 1,270. The GPU compute score of 19,822 is significant for non-graphics workloads. The nearest rivals to the GPU are the RTX 4080 (54,247, -0.1%), AMD Radeon Pro W5700X (54,828, -1.1%), AMD Radeon RX 6750 GRE 12 GB (55,698, -2.7%), and AMD Radeon 8060S (55,757, -2.8%). The RTX 4080 SUPER is effectively tied with the RTX 4080, meaning the “SUPER” moniker does not translate to higher benchmark scores in this dataset.

The combined picture is a system that performs in the top 14% of all builds, with both components landing at the same percentile. This consistency means no single part is a weak link in the chain, but also that upgrading one component without the other would yield diminishing returns. The CPU’s single-thread performance is its standout feature, while the GPU’s memory bandwidth and compute throughput are its strengths.

Gaming Performance

No measured FPS rows exist for this exact combination of CPU and GPU, and the data is not based on measured frame rates. All FPS figures discussed are estimates derived from the benchmark scores of each component. The RTX 4080 SUPER’s 3DMark Steel Nomad DX12 score of 6,600 indicates it can handle modern DirectX 12 titles at high settings, but the exact frame rates depend on the game engine and resolution.

At 1080p, the CPU’s single-thread performance will likely be the limiting factor in many titles, with the PassMark single-thread score of 4,354 suggesting high but not extreme frame rates in CPU-bound games. At 1440p, the GPU becomes more dominant, and the 16 GB VRAM allows for high-resolution textures without stutter. At 4K, the GPU’s 736.3 GB/s bandwidth and 52.22 TFLOPS FP32 performance will drive frame rates that are playable in most titles, though ultra settings with ray tracing may require DLSS to maintain smoothness. The 80 RT cores and 320 tensor cores indicate strong ray tracing and DLSS performance, respectively, which can boost frame rates in supported games.

The lack of measured FPS data means these are qualitative expectations. The GPU’s PassMark G3D score of 34,245 is high, placing it in the top tier of graphics cards, and the CPU’s physics score of 3,041 suggests adequate handling of game physics. For esports titles at 1080p, frame rates could exceed 144 FPS in many cases, but this is an estimate based on the CPU’s single-thread capabilities. For AAA titles at 4K, frame rates will likely hover around 60 FPS on ultra settings, with DLSS providing a significant boost. Users should treat these as directional indicators rather than precise numbers.

Upgrade Path and Platform

The Intel Core i9-14901E uses the Intel Socket 1700, which is a mature platform with support for both DDR4 and DDR5 memory. This flexibility is a double-edged sword: it allows for budget-friendly DDR4 builds, but upgrading to DDR5 later requires a new motherboard. The processor supports PCIe Gen 5 with 16 CPU lanes, which is currently overkill for the RTX 4080 SUPER’s PCIe 4.0 x16 interface, but future-proofs for next-generation GPUs that may use Gen 5. The memory bus is dual-channel, and with ECC support, this platform can serve as a low-cost entry into workstation-class reliability.

The suggested PSU for the RTX 4080 SUPER is 700 W, which accounts for the GPU’s 320 W TDP and the CPU’s 65 W TDP. This leaves headroom for a modest overclock, though the CPU’s multiplier is locked, preventing manual overclocking. The GPU uses a 1x 16-pin power connector, so the PSU must have the appropriate cable or an adapter. The GPU is triple-slot wide, measuring 310 mm in length, so case compatibility is a consideration. The production status of the GPU is end-of-life, meaning it is no longer in active production, but the CPU is active, so upgrades will mostly involve the GPU.

A sensible next upgrade would be the GPU, as the 45,900 million transistor AD103 chip is already at its performance ceiling. The successor to the RTX 4080 SUPER is the GeForce 50 series, which would provide a generational leap in ray tracing and compute performance. The CPU, with its 8 cores and 65 W TDP, is unlikely to bottleneck a future GPU at 4K, but at lower resolutions, a higher-core-count CPU might be needed. The memory support for both DDR4 and DDR5 means the platform can be repurposed for a secondary machine, while the primary system moves to a newer socket.

Build Overview

This build pairs the Intel Core i9-14901E with the NVIDIA GeForce RTX 4080 SUPER in a desktop configuration. The combined percentile of 86 indicates it outperforms 86% of all tested systems, placing it in the high-end tier. The CPU is a power-efficient 8-core part with a 65 W TDP, while the GPU is a triple-slot, 320 W behemoth with 16 GB of GDDR6X memory. The pairing is balanced in terms of aggregate performance, but the CPU’s low TDP and the GPU’s high TDP create a thermal asymmetry that requires careful airflow design.

The build class is desktop, meaning it is intended for stationary use with a dedicated power supply. The GPU’s dimensions (310 mm length, 140 mm height, 61 mm width) require a full-tower or large mid-tower case. The CPU’s integrated UHD Graphics 770 provides a fallback if the GPU fails, which is a rare but useful feature. Overall, this is a top-tier desktop build that excels in both gaming and compute workloads, with the 86th percentile scores reflecting its position in the upper echelon of hardware.

GPU Analysis

The NVIDIA GeForce RTX 4080 SUPER is based on the AD103 chip, built on TSMC’s 5 nm process with 45,900 million transistors and a die size of 379 mm². The transistor density of 121.1 million per mm² is high, indicating a dense design. The GPU has 10,240 shading units, 320 texture mapping units, and 112 raster output units, along with 80 RT cores and 320 tensor cores. The base clock is 2,295 MHz with a boost clock of 2,550 MHz, and memory runs at 1,438 MHz with an effective speed of 23 Gbps. The memory bus is 256 bit, providing a bandwidth of 736.3 GB/s across 16 GB of GDDR6X.

In benchmark tests, the GPU scores 6,600 in 3DMark Steel Nomad DX12, indicating strong DirectX 12 Ultimate performance. Geekbench OpenCL scores 219,065 and Vulkan scores 260,075, showing excellent cross-platform compute capabilities. PassMark G3D scores 34,245, while G2D scores 1,270, and the GPU compute score is 19,822. The pixel rate is 285.6 GPixel/s and texture rate is 816.0 GTexel/s, which support high-resolution rendering. The FP32 performance of 52.22 TFLOPS is notable for a consumer GPU, and FP16 is listed at 52.22 TFLOPS (1:1), meaning no double-rate penalty for half-precision.

For rendering workloads, the 80 RT cores accelerate ray tracing, while the 320 tensor cores handle DLSS and AI-based tasks. The 16 GB VRAM is sufficient for 4K textures and complex scenes, and the 736.3 GB/s bandwidth prevents bottlenecks in bandwidth-intensive shaders. The nearest rival, the RTX 4080, scores nearly identically (54,247 vs 54,209), meaning the SUPER variant offers no measurable performance advantage in this dataset. The GPU’s API support includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with current and near-future titles.

Usage Scenarios

High-refresh gaming: The CPU’s 5.60 GHz boost clock and single-thread score of 4,354 in PassMark support high frame rates at 1080p, while the GPU’s 16 GB VRAM and bandwidth of 736.3 GB/s handle 1440p and 4K. Frame rates are estimated to exceed 144 FPS in esports titles at 1080p, but this is an estimate.

Streaming: The GPU’s tensor cores (320) can handle NVENC encoding for streaming, offloading the CPU. The CPU’s multi-core score of 25,753 in Cinebench R23 ensures that game encoding will not cause stutter, though the 8-core limit may show in CPU-heavy games.

Video editing: The GPU’s 52.22 TFLOPS FP32 accelerates effects and color grading, while the CPU’s data compression score of 288,777 speeds up file imports and exports. The 16 GB VRAM is adequate for 4K timelines with multiple layers.

3D rendering: The GPU’s 80 RT cores and 320 tensor cores accelerate ray-traced renders, while the CPU’s multi-core score of 25,753 handles scene preparation. The ECC memory support on the CPU reduces the risk of memory corruption in long renders.

Software development: The CPU’s integer math score of 112,736 accelerates compilation, and the data encryption score of 18,571 supports secure builds. The 16 threads allow for parallel builds, and the 36 MB L3 cache reduces cache misses.

Student and office work: The integrated UHD Graphics 770 provides a fallback, and the CPU’s 65 W TDP ensures low heat output. The PassMark single-thread score of 4,354 ensures snappy application launches, while the 16 GB VRAM is overkill but provides future-proofing for AI tools.