SYSTEM ANALYZER

Rate My PC: Intel Core i9-14901KE + NVIDIA RTX 4000 SFF Ada Generation

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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70 Score

Top 30% Ranking

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%

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 4000 SFF Ada Generation

117,088 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

The Intel Core i9-14901KE and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that occupies a distinct niche in the benchmark database. The CPU, a Raptor Lake Refresh part on the Intel Socket 1700 platform, offers 8 cores and 16 threads with a base clock of 3.80 GHz and a boost clock of 5.80 GHz. The GPU, built on the Ada Lovelace architecture with a 5 nm TSMC process, brings 20 GB of GDDR6 memory and a 160-bit bus to the table. The combined percentile for this pairing sits at 73, placing it above the majority of configurations tracked in the database. Notably, there are no measured FPS rows for this exact combination in the data; all performance discussions regarding gaming frame rates are estimated from the individual component benchmark scores and their relative positions against rivals.

CPU Analysis

The Intel Core i9-14901KE is a desktop processor built on the Raptor Lake architecture, specifically the Raptor Lake-R codename, representing the Core 14th Gen series. It is manufactured on Intel's 10 nm process node with a die size of 257 mm². The chip features 8 physical cores and 16 threads, a configuration that balances single-thread responsiveness with multi-threaded capability. Clock speeds are substantial, with a base frequency of 3.80 GHz and a boost clock reaching 5.80 GHz, indicating strong out-of-the-box performance for bursty workloads. The processor carries a TDP of 125 W, which defines its thermal envelope.

Cache hierarchy is generous: each core has 80 KB of L1 and 2 MB of L2, while the shared L3 cache totals 36 MB. This large L3 allocation is beneficial for workloads that repeatedly access a working set of data, such as database queries or compiled code. Memory support includes both DDR4 and DDR5, with a dual-channel memory bus, and the memory controller supports ECC memory, a feature typically relevant for workstation stability. The platform provides PCIe Gen 5 with 16 lanes from the CPU, offering high bandwidth for modern storage and expansion cards. Integrated graphics are provided by UHD Graphics 770, which offers a fallback display output but is not a focus for high-end performance.

The CPU's benchmark data is sparse: the avgBenchmarkScore is 0, and it holds a percentileVsAllCpus of 50, which places it exactly at the median of all CPUs in the database. This percentile is surprising given the high clock speeds and modern architecture. The nearestRivals array is empty, meaning there is no comparative data to contextualize its raw score against other processors. The lack of measured benchmarks for this specific SKU suggests that the database has limited data points, likely due to its niche positioning as a special edition part. For real workloads, the 5.80 GHz boost clock suggests excellent single-threaded performance for tasks like web browsing, office applications, and legacy software that relies on high frequency. The 16 threads and 36 MB L3 cache provide adequate throughput for light multi-threaded tasks, but the 50th percentile ranking implies that it does not outpace the majority of processors in aggregate testing.

Usage Scenarios

For high-refresh gaming, the estimated performance is driven by the GPU's capability, but the CPU's 50th percentile ranking suggests it may not be the primary bottleneck in most titles. The RTX 4000 SFF Ada Generation, with its 95th percentile GPU ranking, is likely to push frame rates high enough to benefit from a 144 Hz or faster monitor, assuming the game is not heavily CPU-bound.

Streaming while gaming benefits from the CPU's 8 cores and 16 threads, which can handle encoding tasks alongside game logic. The 125 W TDP and boost clock of 5.80 GHz allow for responsive encoding, while the GPU's Ada Lovelace architecture includes dedicated tensor cores that can assist with AI-based encoding features, though the data does not specify NVENC capabilities.

Video editing workloads rely heavily on both CPU and GPU. The CPU's 36 MB L3 cache and 5.80 GHz boost clock speed up timeline scrubbing and effect previews, while the GPU's 19.17 TFLOPS FP32 performance and 20 GB VRAM handle rendering and playback of high-resolution footage. The 95th percentile GPU score indicates strong acceleration for GPU-accelerated effects.

3D rendering in applications like Blender or Maya would favor the GPU's 6144 shading units and 192 tensor cores, which deliver a 117088 average benchmark score. The CPU's 16 threads provide adequate scene graph manipulation, but the 50th percentile ranking suggests it is not a top-tier render CPU. The 20 GB VRAM is sufficient for complex scenes, but the 160-bit bus width limits memory bandwidth to 280.0 GB/s, which may constrain texture streaming.

Software development benefits from the CPU's high boost clock for compilation of single-threaded build steps, while the 16 threads handle parallel builds. The 36 MB L3 cache reduces latency when accessing frequently used code modules. The ECC memory support is a plus for long-running build servers where data integrity is critical, though the platform's dual-channel memory bus may limit memory-intensive link steps.

Student and office work is well-served by this configuration. The CPU's 5.80 GHz boost clock ensures snappy application launches, and the integrated UHD Graphics 770 provides a fallback if the discrete GPU is idle. The GPU's 70 W TDP means low power draw during light usage, and the lack of power connectors simplifies installation in compact cases. The 20 GB VRAM is overkill for spreadsheets, but the overall system responsiveness is high.

FAQ

Q: What are the core and thread counts of the Intel Core i9-14901KE?

A: The processor has 8 cores and 16 threads, with a base clock of 3.80 GHz and a boost clock of 5.80 GHz.

Q: How much memory does the NVIDIA RTX 4000 SFF Ada Generation have, and what is its bandwidth?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus, providing a bandwidth of 280.0 GB/s.

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

A: The combined percentile is 73, which places this desktop configuration above 73% of all tracked builds.

Q: Does the CPU support ECC memory?

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

Q: What PCIe generation does the CPU support?

A: The CPU supports PCIe Gen 5 with 16 lanes, available from the CPU itself.

Q: What is the TDP of the GPU, and what PSU is suggested?

A: The GPU has a TDP of 70 W, and the suggested PSU for the system is 250 W.

Q: How does the GPU's benchmark score compare to the NVIDIA GB10?

A: The RTX 4000 SFF Ada Generation has an average benchmark score of 117088, which is 0.3% lower than the NVIDIA GB10's score of 117393.

Who Should Build It

This pairing targets users who need workstation-grade GPU compute in a compact desktop form factor. The RTX 4000 SFF Ada Generation, with its 70 W TDP and dual-slot width, fits into small form factor cases, making it ideal for professionals who require a powerful GPU without a large physical footprint. The 95th percentile GPU ranking indicates it outperforms 95% of all GPUs in the database, making it suitable for 3D modelers, video editors, and engineers using CUDA-accelerated applications. The 20 GB VRAM is sufficient for large datasets in scientific computing or AI inference, though the 160-bit bus width and 280.0 GB/s bandwidth may be a limitation for memory-bandwidth-heavy tasks.

Content creators working with 4K or 8K video will benefit from the GPU's 19.17 TFLOPS FP32 performance and 192 tensor cores, which accelerate rendering and AI-based denoising. The CPU's 8 cores and 5.80 GHz boost clock handle codec encoding and plugin processing, while the 125 W TDP allows for a modest air cooler in a compact build. The 73rd combined percentile indicates a balanced system that is above average, but not at the extreme high end.

Students in engineering or computer science programs will appreciate the ECC memory support and the CPU's high frequency for compilation tasks. The integrated graphics provide a safety net for troubleshooting. Small business workstations that run financial modeling or CAD software will see strong performance in GPU-accelerated tasks, while the CPU's 50th percentile ranking is adequate for standard office productivity. The lack of measured FPS data means gamers should look elsewhere for empirical frame rate validation, but the GPU's 95th percentile score suggests high refresh rates at 1440p or 4K in many titles, assuming the CPU can keep up.

Benchmark Performance

The GPU delivers two recorded benchmark scores: a Geekbench OpenCL score of 124812 and a Geekbench Vulkan score of 109364. These produce an average benchmark score of 117088, which places the GPU at the 95th percentile of all GPUs. This is a strong result, indicating that the card outperforms 95% of the GPUs in the database. Its nearest rival is the NVIDIA GB10, which scores 117393, putting the RTX 4000 SFF Ada Generation 0.3% behind. The AMD Radeon PRO W7700 scores 118976, which is 1.6% higher. The NVIDIA Tesla V100 SXM2 16 GB scores 114395, placing it 2.4% behind the RTX 4000 SFF, while the NVIDIA RTX A5500 Mobile scores 113944, which is 2.8% behind.

The CPU has no benchmark scores in its record; the avgBenchmarkScore is 0, and the percentileVsAllCpus is 50, which is the median. This means that based on the available data, the CPU performs at the midpoint of all CPUs, though the lack of a specific score makes direct comparison impossible. The combined percentile for the build is 73, which is derived from the interaction of the CPU's 50th percentile and the GPU's 95th percentile. The GPU is clearly the dominant component in this pairing, driving the overall ranking significantly higher than the CPU alone would suggest.

For gaming, the absence of measured FPS data means estimates must rely on the GPU's 95th percentile score. In GPU-bound scenarios, the RTX 4000 SFF Ada Generation should deliver high frame rates at 1440p and 4K, given its 20 GB VRAM and 19.17 TFLOPS of compute. However, the CPU's 50th percentile ranking could limit performance in CPU-bound titles, especially at lower resolutions where the GPU is not fully utilized. The combined picture is a system that is heavily skewed toward GPU compute, with the CPU providing adequate but not exceptional support.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation-class GPU based on the AD104 chip, manufactured on TSMC's 5 nm process with 35,800 million transistors on a 294 mm² die. The architecture is Ada Lovelace, which includes 48 RT cores and 192 tensor cores, enabling hardware-accelerated ray tracing and AI workloads. The GPU has 6144 shading units, 192 texture mapping units, and 64 raster output units. Clock speeds are modest, with a base of 720 MHz and a boost of 1560 MHz, but the efficiency of the 5 nm process allows for a TDP of just 70 W, which is remarkable for the compute performance offered.

Memory is 20 GB of GDDR6 on a 160-bit bus, yielding a bandwidth of 280.0 GB/s. The memory clock is 1750 MHz, with an effective data rate of 14 Gbps. This is a moderate bandwidth figure, which may be a limiting factor for certain workloads that require high memory throughput, such as large matrix operations or texture-heavy rendering. The 20 GB capacity is generous, allowing for large models in machine learning or high-resolution textures in 3D rendering.

The GPU's compute capabilities are substantial: FP32 performance is 19.17 TFLOPS, with FP16 also at 19.17 TFLOPS (1:1 ratio), indicating that the card does not have dedicated FP16 acceleration that doubles throughput. The pixel rate is 99.84 GPixel/s, and the texture rate is 299.5 GTexel/s. These figures support high-resolution rendering and complex shader effects.

In benchmark tests, the GPU scores 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan. The Vulkan score being lower than OpenCL suggests that the card may have driver overhead or architecture characteristics that favor OpenCL in some compute tasks. The average score of 117088 places it at the 95th percentile, which is a strong result for a SFF (small form factor) card. It outperforms the NVIDIA Tesla V100 SXM2 16 GB by 2.4% and the NVIDIA RTX A5500 Mobile by 2.8%, but trails the NVIDIA GB10 by 0.3% and the AMD Radeon PRO W7700 by 1.6%. This indicates that the RTX 4000 SFF Ada Generation is competitive with other high-end workstation cards, offering a balance of performance and power efficiency.

Balance and Bottleneck

The performance balance in this pairing is heavily skewed toward the GPU. The GPU's 95th percentile ranking is exceptionally high, while the CPU's 50th percentile is average. In GPU-bound workloads, such as 3D rendering, video encoding, and machine learning inference, the RTX 4000 SFF Ada Generation will be the primary driver of performance. The CPU's 8 cores and 16 threads are sufficient to feed the GPU with data, but they will not be the limiting factor in these scenarios.

In CPU-bound workloads, such as single-threaded productivity tasks or certain game engines that rely heavily on a single core, the CPU's 50th percentile ranking could become a bottleneck. The 5.80 GHz boost clock helps, but the lack of a benchmark score makes it difficult to quantify. The GPU's 20 GB VRAM and 280.0 GB/s bandwidth may also become a limiting factor in memory-intensive workloads, as the bus width is narrower than many competitors.

The FPS scaling in gaming is estimated to be limited by the CPU at lower resolutions. At 1080p, where the GPU is less taxed, the CPU's 50th percentile could reduce frame rates compared to a higher-ranked processor. At 4K, the GPU is more likely to be the bottleneck, and the 95th percentile score suggests strong performance. The combined percentile of 73 indicates that, on average, this system outperforms 73% of builds, but the disparity between CPU and GPU percentiles suggests that users with CPU-intensive workloads may not see the full benefit of the GPU's power.

The 125 W TDP of the CPU and 70 W TDP of the GPU mean that the system has a relatively low total power draw, and the suggested PSU of 250 W provides ample headroom. This balance favors sustained performance without thermal throttling, but it also means that the CPU is not a high-core-count monster. For users who prioritize gaming at high refresh rates, the CPU may hold back the GPU in esports titles, while for content creators, the GPU will shine.

Upgrade Path and Platform

The Intel Core i9-14901KE is built on the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in a dual-channel configuration. The memory bus is dual-channel, and ECC memory is supported. The CPU provides PCIe Gen 5 with 16 lanes, which is a future-proof interface for high-speed NVMe SSDs and next-generation GPUs. The socket is shared with other 12th, 13th, and 14th Gen Intel processors, meaning that users have a wide range of upgrade options within the same platform.

The GPU uses a PCIe 4.0 x16 interface, which is backward and forward compatible with the CPU's PCIe Gen 5 slots. The GPU is a dual-slot card with a length of 168 mm (6.6 inches) and a height of 69 mm (2.7 inches), making it suitable for small form factor cases. It has no power connectors, drawing all power from the PCIe slot, which simplifies installation. The display outputs are 4x mini-DisplayPort 1.4a.

A sensible next upgrade would be to increase the memory capacity or speed, as the CPU supports both DDR4 and DDR5. Given the GPU's 20 GB VRAM, memory capacity in the system is less of a concern, but faster DDR5 memory could improve CPU performance in memory-sensitive workloads. The CPU's 125 W TDP and the GPU's 70 W TDP suggest that the 250 W suggested PSU provides headroom for additional drives or fans. The production status for both components is Active, meaning they are still in the market. The GPU's predecessor is Workstation Ampere, and its successor is Blackwell PRO W, indicating a clear generational path for future upgrades.

Build Overview

This build combines the Intel Core i9-14901KE, a desktop processor from the Core 14th Gen series, with the NVIDIA RTX 4000 SFF Ada Generation, a workstation GPU from the GeForce 40-series. The build class is desktop, confirming that this is a stationary system rather than a laptop. The combined percentile is 73, which means this configuration outperforms 73% of all tracked builds in the database. The GPU is the standout component, with a 95th percentile ranking, while the CPU sits at the 50th percentile.

The system is designed for professionals who need a compact workstation with high GPU compute performance. The GPU's 20 GB VRAM and 19.17 TFLOPS FP32 performance make it suitable for AI research, 3D rendering, and video editing, while the CPU's 5.80 GHz boost clock ensures responsive interaction. The overall tier, based on the 73rd percentile, is above average, but not at the top tier. The lack of measured FPS data means that gaming performance is estimated, but the GPU's 95th percentile score suggests that it is a capable gaming card for high-resolution play, provided the CPU does not bottleneck. This is a balanced system for content creation and professional workloads, with the GPU doing the heavy lifting.

Rate My PC: Intel Core i9-14901KE + NVIDIA RTX 4000 SFF Ada Generation

Power Build

System Balance Analysis

Intel Core i9-14901KE

NVIDIA RTX 4000 SFF Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Usage Scenarios

FAQ

Who Should Build It

Benchmark Performance

GPU Analysis

Balance and Bottleneck

Upgrade Path and Platform

Build Overview

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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