SYSTEM ANALYZER

Rate My PC: Intel Core i9-14901KE + NVIDIA RTX 5000 Ada Generation

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

70 / 100
HIGH-END

Power Build

Top 30% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
41%
VS
GPU
99%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i9-14901KE

0 Benchmark Score
Top 59% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 Benchmark Score
Top 1% 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.

Bottleneck Detected

CPU Bottleneck - Upgrading the weaker component will improve overall performance.

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

# Balance and Bottleneck

The Intel Core i9-14901KE and NVIDIA RTX 5000 Ada Generation pairing presents a distinctive balance of compute resources, though the data reveals where each component takes the lead. The CPU sits at the 50th percentile among all processors, while the GPU commands the 98th percentile among all graphics cards. That 48-point gap immediately signals that the graphics subsystem is the dominant performer in this build, and in most workloads the RTX 5000 Ada Generation will be the component that sets the ceiling.

The CPU's 50th percentile ranking is not a weakness in absolute terms, but it does indicate that this processor is middle-of-the-pack relative to the full spectrum of CPUs tracked in the database. With 8 cores and 16 threads, the i9-14901KE is built around a single high-performance core configuration rather than a hybrid layout. The 5.80 GHz boost clock is the standout specification, and benchmark results indicate that lightly threaded workloads will see the processor stretch its legs. However, in heavily threaded scenarios, the 8-core count will cap throughput compared to higher-core-count rivals that appear in the upper percentiles.

The GPU, by contrast, is an extreme outlier. The 98th percentile placement means only a small fraction of all GPUs outperform it. Its average benchmark score of 184,664 across Geekbench OpenCL and Vulkan tests places it in rarefied company. The nearest rivals are all data-center or flagship-class parts: the NVIDIA A100 SXM4 80 GB scores 183,725 (0.5% behind), the A100 SXM4 40 GB scores 187,147 (1.3% ahead), and the RTX PRO 5000 Blackwell scores 182,109 (1.4% behind). This is not a consumer gaming card; it is a professional compute instrument.

The bottleneck analysis follows directly from these figures. In gaming workloads, the RTX 5000 Ada Generation will almost certainly be underutilized at lower resolutions, where the CPU's 50th percentile standing becomes the limiting factor. At higher resolutions, the GPU's massive compute resources will be taxed more fully, shifting the balance. For productivity workloads like 3D rendering or machine learning training, the GPU takes over as the primary workhorse, and the CPU's role becomes feeding data and managing I/O. The 125W TDP of the CPU and the 250W TDP of the GPU indicate that power delivery will not be the bottleneck; the CPU is modest in its demands relative to the GPU.

# Benchmark Performance

The RTX 5000 Ada Generation delivers an average benchmark score of 184,664, derived from two specific tests. In Geekbench OpenCL, it scores 175,286, and in Geekbench Vulkan, it scores 194,041. The Vulkan result is notably higher, suggesting the GPU scales well with modern graphics APIs used in both gaming and compute workloads. The 98th percentile placement among all GPUs confirms that this is an elite-tier part.

Against its nearest rivals, the RTX 5000 Ada Generation is essentially a peer of the A100 series. It trails the A100 SXM4 40 GB by 1.3% and leads the A100 SXM4 80 GB by 0.5%. The RTX PRO 5000 Blackwell, a newer workstation part, is 1.4% behind. The GeForce RTX 4090 D, a gaming flagship, is 3.7% behind. These deltas are small — within a few percentage points — meaning the RTX 5000 Ada Generation trades blows with the best accelerators from NVIDIA's data-center and workstation lines. The fact that a workstation card competes with a data-center GPU like the A100 SXM4 80 GB is remarkable and speaks to the Ada Lovelace architecture's efficiency.

The CPU benchmarks are empty in the data pack, and its average benchmark score is listed as 0, with no nearest rivals provided. The percentile of 50 is the only performance signal. This means the i9-14901KE is statistically average in the database, but the lack of benchmark entries makes direct comparisons impossible. What the data does provide is a full specification sheet: 8 cores, 16 threads, 3.80 GHz base, 5.80 GHz boost, and a 125W TDP. The combined percentile for this CPU+GPU build is 74, which places the overall system in the upper quartile of all tracked builds. The GPU's 98th percentile drags the combined score upward despite the CPU's middling 50th percentile.

# CPU Analysis

The Intel Core i9-14901KE is a desktop processor from the Core 14th Gen series, built on the Raptor Lake architecture with the Raptor Lake-R codename. It is manufactured on Intel's 10 nm process node with a die size of 257 mm². The chip features 8 cores and 16 threads, meaning every core has Hyper-Threading enabled. The base clock is 3.80 GHz, but the boost clock reaches 5.80 GHz — a 2.0 GHz jump that the data shows is substantial for burst workloads.

The cache hierarchy is generous. Each core gets 80 KB of L1 cache and 2 MB of L2 cache, while the entire chip shares 36 MB of L3 cache. This large L3 allocation is typical of Raptor Lake designs and helps with multi-threaded workloads where data sharing between cores is frequent. The memory controller supports both DDR4 and DDR5 in a dual-channel configuration, and ECC memory is supported — a feature that makes this CPU suitable for workstations where data integrity is critical.

The CPU uses the Intel Socket 1700 platform and provides PCIe Gen 5 with 16 lanes from the CPU alone. This is a high-bandwidth interface that can feed even the most demanding GPUs. The integrated graphics is UHD Graphics 770, which provides basic display output and video decode capabilities without needing a discrete GPU. The multiplier is unlocked, meaning overclocking is possible, though the data does not suggest how much headroom exists.

The 50th percentile ranking puts this CPU in the middle of the pack, but the boost clock of 5.80 GHz is among the highest in the database. For single-threaded applications — such as legacy software, certain physics simulations, or lightly threaded game engines — the i9-14901KE will outperform many higher-core-count CPUs that have lower boost clocks. The tradeoff is clear: 8 cores is sufficient for mainstream productivity, but not for extreme parallel workloads like 4K video rendering or large-scale compilation tasks, where 16 or more cores dominate the upper percentiles.

# Who Should Build It

This build targets users who need professional-grade GPU compute without sacrificing a capable desktop CPU. The RTX 5000 Ada Generation's 98th percentile performance and 32 GB of VRAM make it ideal for 3D artists, video editors, and machine learning engineers who work with large datasets or high-resolution assets. The 32 GB memory capacity is particularly relevant for rendering scenes that exceed the 8-16 GB limits of consumer GPUs, and the 576.0 GB/s bandwidth ensures fast data movement.

Gamers at 4K resolution will find this build compelling, as the GPU's massive compute resources will handle ultra settings with ease. However, the CPU's 50th percentile standing may limit frame rates at 1080p or 1440p in CPU-bound titles. The data suggests this is a 4K or high-resolution gaming machine, not a competitive esports rig. Content creators working with 8K video or complex After Effects compositions will benefit from the GPU's 65.28 TFLOPS of FP32 compute and the 400 tensor cores for AI-accelerated effects.

Software developers building and testing AI models will appreciate the 400 tensor cores and 32 GB of VRAM, which can hold large model weights in memory. Students in engineering or computer science programs can use this build for both coursework and research, though the GPU is overkill for typical student workloads. Small business workstations running CAD, simulation, or data analysis software will see substantial acceleration in GPU-accelerated applications. The ECC memory support on the CPU is a quiet but important feature for professionals who cannot tolerate memory errors in long-running simulations.

# FAQ

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

A: The combined percentile for the Intel Core i9-14901KE and NVIDIA RTX 5000 Ada Generation build is 74, placing it in the upper quartile of all tracked builds.

Q: How does the RTX 5000 Ada Generation compare to the NVIDIA A100 SXM4 80 GB?

A: The RTX 5000 Ada Generation scores 184,664 on average, while the A100 SXM4 80 GB scores 183,725, giving the RTX 5000 a slight 0.5% advantage.

Q: What is the CPU's boost clock and how many cores does it have?

A: The Intel Core i9-14901KE has 8 cores and 16 threads, with a base clock of 3.80 GHz and a boost clock of 5.80 GHz.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-14901KE supports ECC memory, which is important for workstation reliability.

Q: What is the GPU's memory capacity and bandwidth?

A: The RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s.

Q: What is the suggested power supply wattage for this GPU?

A: The suggested PSU for the RTX 5000 Ada Generation is 600 W, and the GPU's TDP is 250 W.

Q: How does the RTX 5000 Ada Generation compare to the GeForce RTX 4090 D?

A: The RTX 5000 Ada Generation scores 3.7% higher than the GeForce RTX 4090 D in average benchmark scores.

# Upgrade Path and Platform

The Intel Core i9-14901KE uses the Intel Socket 1700 platform, which is compatible with a wide range of 12th, 13th, and 14th generation Core motherboards. Memory support is flexible, with both DDR4 and DDR5 options available in a dual-channel configuration. The choice between DDR4 and DDR5 will depend on the motherboard, but the data shows both are supported, giving builders flexibility on cost and performance. ECC memory support is a significant advantage for workstation users, as it allows error-correcting memory without requiring a server platform.

The CPU provides PCIe Gen 5 with 16 lanes from the CPU itself, which is the highest bandwidth available on consumer platforms. This ensures that any modern GPU can run at full speed without a bottleneck from the interface. The GPU, however, uses PCIe 4.0 x16, which is backward compatible and sufficient for its bandwidth needs. The 16 lanes from the CPU will not be a limiting factor for this GPU.

The RTX 5000 Ada Generation has a TDP of 250 W and requires a 1x 16-pin power connector. The suggested PSU is 600 W, which leaves ample headroom when paired with the 125W TDP CPU. A 600W supply is sufficient for this build, but the data does not specify whether higher-wattage units are needed for overclocking or additional peripherals. The GPU is dual-slot and measures 267 mm in length, 112 mm in height, fitting most mid-tower and full-tower cases.

A sensible next upgrade would be a higher-core-count CPU on the same Socket 1700 platform, provided the motherboard's VRM can handle the power draw. However, the data does not indicate which specific CPUs would be direct upgrades. Alternatively, adding more system memory or switching from DDR4 to DDR5 (if the motherboard supports it) could improve performance in memory-sensitive workloads. The GPU is already near the top of the performance stack, so upgrading it would yield minimal gains unless moving to a data-center class part like the A100 SXM4 80 GB, which scores only 0.5% lower.

# GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation GPU built on the Ada Lovelace architecture, using the AD102 chip fabricated by TSMC on a 5 nm process. The chip contains 76,300 million transistors on a 609 mm² die, with a transistor density of 125.3 million per mm². This is a massive chip, and the data shows it is packed with compute resources: 12,800 shading units, 400 texture mapping units, and 176 raster operation units.

The memory subsystem consists of 32 GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s. The memory clock is 2250 MHz, translating to 18 Gbps effective. This is a substantial amount of VRAM, more than most consumer GPUs offer, and it is essential for large 3D scenes, high-resolution textures, and machine learning models that exceed the memory capacity of gaming cards.

The GPU has 100 ray tracing cores and 400 tensor cores, making it a formidable part for both real-time ray tracing and AI acceleration. The FP32 performance is 65.28 TFLOPS, and FP16 performance is identical at 65.28 TFLOPS with a 1:1 ratio. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s. These numbers indicate that the GPU can handle extreme fill rates and texture-heavy workloads.

In Geekbench OpenCL, the GPU scores 175,286, and in Vulkan, it scores 194,041. The Vulkan score being higher suggests the GPU scales well with modern APIs that expose its full feature set. The 98th percentile placement among all GPUs confirms its elite status. The nearest rivals are all NVIDIA parts: the A100 SXM4 80 GB (0.5% behind), A100 SXM4 40 GB (1.3% ahead), RTX PRO 5000 Blackwell (1.4% behind), and GeForce RTX 4090 D (3.7% behind). This puts the RTX 5000 Ada Generation in a class with data-center accelerators, making it a compelling choice for rendering farms and AI research workstations.

The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with the latest game engines and professional applications. Display outputs are 4x DisplayPort 1.4a, which supports high-resolution multi-monitor setups. The GPU uses a 1x 16-pin power connector and is a dual-slot design, measuring 267 mm in length and 112 mm in height.

# Build Overview

This build pairs the Intel Core i9-14901KE, a desktop processor from the Core 14th Gen series, with the NVIDIA RTX 5000 Ada Generation, a workstation GPU. The build class is desktop, and the combined percentile is 74, placing it in the upper quartile of all tracked builds. The GPU's 98th percentile performance is the defining feature, while the CPU's 50th percentile standing is the weaker link.

The i9-14901KE is a high-clock 8-core processor with a 5.80 GHz boost, suitable for gaming and productivity, but not for extreme multi-threaded workloads. The RTX 5000 Ada Generation is a professional-grade GPU with 32 GB of VRAM and compute performance that rivals data-center parts. Together, they form a system that excels at GPU-accelerated tasks and high-resolution gaming, but which may be held back by the CPU in CPU-bound scenarios.

In terms of tier, this is a high-end workstation build with a professional GPU. The GPU alone justifies the system's classification as a premium offering. The CPU, while not top-tier, is sufficient to feed the GPU in most workloads. The overall tier is solidly upper-midrange to high-end, with the GPU carrying most of the performance weight.

# Usage Scenarios

High-refresh gaming: At 4K resolution, the RTX 5000 Ada Generation's 98th percentile performance will drive high frame rates in most titles, but the 50th percentile CPU may cap frame rates at lower resolutions. This is a 4K-focused gaming machine, not a 1080p esports setup.

Streaming: The GPU's 400 tensor cores can handle AI-based encoding and upscaling, while the CPU's 8 cores and 16 threads provide enough headroom for game capture and encoding simultaneously. The 5.80 GHz boost clock helps maintain frame pacing in streaming scenarios.

Video editing: The 32 GB of VRAM and 576.0 GB/s bandwidth allow for smooth timeline scrubbing and real-time playback of high-resolution footage. The GPU's 65.28 TFLOPS of FP32 compute accelerates effects rendering and color grading.

3D rendering: With 100 ray tracing cores and 12,800 shading units, the RTX 5000 Ada Generation excels at ray-traced rendering in applications like Blender or Octane. The 32 GB VRAM holds large scenes without swapping to system memory.

Software development: The CPU's 8 cores and 5.80 GHz boost handle compilation tasks reasonably well, while the GPU accelerates parallel workloads like test suites or data processing. ECC memory support ensures stability for long-running builds.

Student and office work: This build is overkill for typical student or office tasks, but it provides headroom for future workloads like CAD or data analysis. The integrated UHD Graphics 770 on the CPU offers a fallback if the GPU is busy with compute tasks.

# Gaming Performance

The FACT PACK contains no measured FPS data for this specific CPU+GPU combination. Therefore, all frame rate discussions are estimates derived from the benchmark scores and percentile rankings, not direct measurements.

Based on the RTX 5000 Ada Generation's 98th percentile performance and 65.28 TFLOPS of FP32 compute, this GPU should deliver extremely high frame rates at 4K resolution in most modern titles. The 32 GB of VRAM eliminates concerns about texture memory limits. However, the CPU's 50th percentile ranking suggests that at 1080p or 1440p, frame rates may be limited by the processor in CPU-bound games. Titles that rely heavily on single-threaded performance will benefit from the 5.80 GHz boost clock, while multi-threaded titles will use all 16 threads.

The GPU's Geekbench Vulkan score of 194,041, which is higher than its OpenCL score of 175,286, indicates strong performance under graphics APIs used by modern games. This suggests that the GPU will scale well with DirectX 12 and Vulkan titles. The RTX 5000 Ada Generation's 100 ray tracing cores will enable high-quality ray-traced effects at playable frame rates, though the exact performance depends on the game's optimization.

For competitive gaming at high refresh rates, the CPU may become the limiting factor. A 50th percentile CPU with 8 cores is adequate for most games, but it may struggle to maintain 240+ FPS in esports titles that are heavily CPU-bound. For immersive single-player games at 4K, the GPU will dominate the performance picture, and this build will deliver an excellent experience. The figures here are estimates, as no measured FPS data exists for this exact combination.