SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900K + NVIDIA RTX 4000 Ada Generation

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

98 / 100
ULTIMATE READY

Apex Performer

Top 2% 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
97%
VS
GPU
99%
PROCESSOR

Intel Core i9-14900K

79,097 Benchmark Score
Top 3% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 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

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 i9-14900K paired with the NVIDIA RTX 4000 Ada Generation is a desktop-class combination that lands in the 95th percentile for both CPU and GPU performance, placing it near the top of the benchmark database. No measured FPS rows exist for this exact pairing, so all game-frame-rate discussion below is estimated from the synthetic benchmark scores and percentile positions, not from direct gameplay capture.

CPU Analysis

The Intel Core i9-14900K is a 24-core, 32-thread processor built on the Raptor Lake architecture (Raptor Lake-R refresh). It runs at a base clock of 3.20 GHz and boosts up to 6.00 GHz, with a 125 W TDP. The chip is fabricated on Intel’s 10 nm process and measures 257 mm². Its cache layout includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB L3 pool. Memory support covers both DDR4 and DDR5 in a dual-channel configuration, and ECC memory is supported. The processor exposes 16 PCIe Gen 5 lanes from the CPU, and it includes integrated UHD Graphics 770.

Benchmark results place this CPU firmly in the top tier. In Cinebench R23, the multi-core score is 39399.5, while the single-core score is 2262.5. Geekbench delivers 21697 multi-core and 2655 single-core. Passmark’s multithread score is 58674, and the single-thread score is 4697. The average benchmark score across all tests is 79097, with a 95th percentile rank against all CPUs. Compared to its nearest rivals, the i9-14900K sits within 1.2% of three other high-end parts: the Intel Core i9-14900KF is 0.3% faster, the Core Ultra 9 290HX Plus is 0.6% faster, and the AMD EPYC 7413 is 1.2% faster. The AMD Ryzen AI Max+ 395 trails by 1.7%, meaning the i9-14900K is 1.7% ahead of that part. This is a very tight grouping—these four chips are effectively interchangeable in raw compute.

What these scores mean for real workloads is straightforward. The 24-core, 32-thread configuration crushes multithreaded tasks like video encoding, 3D scene rendering, and large data compilations. The Cinebench R23 multi score of 39399.5 is a strong indicator of sustained heavy multi-core performance. The single-core score of 2262.5 is also excellent, which matters for applications that rely on a few fast threads, such as many games and older productivity tools. The Passmark integer math score of 210622 and floating-point math score of 152975 reinforce that this CPU handles both integer-heavy and floating-point-heavy calculations with ease. The extended instructions score of 45154 shows strong SIMD/AVX performance, which benefits scientific computing and media processing. The physics score of 3140 on Passmark is moderate compared to the other scores, but still high enough for simulation workloads.

Benchmark Performance

The CPU’s benchmark scores are the headline numbers. Cinebench R15 multicore is 6103, single-core is 324.5. Cinebench R20 multicore is 20793, single-core is 2935. Cinebench R23 multicore is 39399.5, single-core is 2262.5. Geekbench multicore is 21697, single-core is 2655. Passmark multithread is 58674, single thread is 4697, and the average CPU score is 79297. These place the CPU at the 95th percentile of all CPUs.

The GPU’s benchmark results come from Geekbench compute tests. The OpenCL score is 146593, and the Vulkan score is 123842. The GPU’s average benchmark score is 135218, also at the 95th percentile of all GPUs. The combined percentile for the pair is 95. The GPU’s nearest rivals include the NVIDIA A10M (delta 0%), AMD Radeon PRO W6800 (delta -0.1%), AMD Radeon Pro W6800X Duo (delta -0.4%), and AMD Radeon PRO V620 (delta -0.9%). The A10M is the closest competitor, with essentially no difference in score. The W6800 and W6800X Duo trail by 0.1% and 0.4% respectively, while the PRO V620 trails by 0.9%. This means the RTX 4000 Ada is a top-tier workstation GPU, sitting just a hair behind the A10M but ahead of the three AMD cards.

The combined picture is one of extreme balance. Both components sit in the top 5% of their respective categories. The CPU’s single-core and multi-core scores are both high, and the GPU’s compute scores are high as well. Without measured FPS, the only way to gauge gaming potential is by proxy. The CPU’s 6.00 GHz boost clock and high single-thread Passmark score of 4697 suggest strong per-core performance, which is often a limiter in games. The GPU’s 20 GB VRAM and 360.0 GB/s bandwidth are ample for high-resolution textures. The lack of measured FPS data means we cannot quantify frame rates, but the underlying compute power is clearly top-tier.

Balance and Bottleneck

The i9-14900K’s CPU percentile of 95 and the RTX 4000 Ada’s GPU percentile of 95 indicate that neither component is dramatically faster than the other. In most workloads, the bottleneck will shift based on the application. For CPU-bound tasks like physics simulation, data compression, and single-threaded code, the CPU will be the primary driver. The Passmark physics score of 3130 and integer math score of 210622 highlight strong CPU compute. For GPU-bound tasks like ray tracing, AI inference, and large matrix operations, the GPU will take the lead. The RTX 4000 Ada has 48 RT cores and 192 tensor cores, which are specialized for these tasks. The FP32 compute of 26.73 TFLOPS is substantial.

The deltaPct values from the nearest rivals give a sense of how close the CPU and GPU are to their immediate competition. The CPU is 0.3% slower than the 14900KF, 0.6% slower than the Core Ultra 9, and 1.2% slower than the EPYC 7413, but 1.7% faster than the Ryzen AI Max+ 395. The GPU is 0.1% slower than the A10M, 0.1% faster than the W6800, 0.4% faster than the W6800X Duo, and 0.9% faster than the PRO V620. These margins are tiny—far smaller than the 5-10% gaps that would cause one component to bottleneck another. In practice, the bottleneck will shift depending on the application’s thread count and instruction mix.

For gaming, the high CPU single-thread score and 6.0 GHz boost clock are valuable for maintaining high frame rates, but the GPU’s 20 GB VRAM and 360 GB/s bandwidth will be the limiting factor at 4K resolution, where texture memory and fill rate matter more. At 1080p, the CPU’s per-core performance might become the constraint in CPU-heavy titles. Since there are no measured FPS rows for this pairing, we cannot state a definitive bottleneck point, but the balance of the two 95th-percentile parts suggests that either component will be the bottleneck only in extreme edge cases.

Usage Scenarios

High-refresh gaming: The i9-14900K’s boost clock of 6.00 GHz and single-thread Passmark score of 4697 provide the per-core speed needed to drive high frame rates. The RTX 4000 Ada’s 20 GB VRAM and 360 GB/s bandwidth are ample for 1080p and 1440p textures. The GPU’s 48 RT cores and 26.73 TFLOPS FP32 compute will handle ray-traced effects, though no measured FPS is available. This pairing is capable of high-refresh gaming at 1080p and 1440p, with the CPU providing headroom for frame-rate ceilings.

Streaming: The 24-core, 32-thread CPU can handle the encoding and scene-rendering load of a stream without dipping into gaming performance. The Cinebench R23 multi score of 39399.5 shows the CPU can encode video and run a game simultaneously. The GPU also has tensor cores that can assist with AI-based encoding features, but the primary workload of streaming is CPU-centric.

Video editing: The CPU’s Cinebench multi-core scores (39399.5) and the GPU’s OpenCL score of 146593 combine to handle timeline scrubbing, effects rendering, and export encoding. The 20 GB VRAM allows large video buffers to reside on the GPU, which is beneficial for 4K and 8K projects. The 192 tensor cores can accelerate AI-based effects like noise reduction.

3D rendering: The CPU’s 24 cores and 32 threads are excellent for CPU-based renderers like V-Ray, where the Cinebench multi score of 39399.5 indicates high throughput. The GPU’s 26.73 TFLOPS FP32 and 48 RT cores handle GPU-accelerated rendering with ray tracing. The 20 GB VRAM can hold large scenes and texture sets. The 95th percentile CPU and GPU scores mean this pairing can handle both CPU and GPU rendering pipelines.

Software development: The CPU’s 24 cores and 32 threads speed up compilation of large codebases. The Passmark multithread score of 58674 and integer math score of 210622 are directly relevant to parallel build tasks. The ECC memory support is valuable for long-running compile jobs that need data integrity. The GPU’s compute performance can be used for unit testing on the GPU or for AI model inference.

Student and office work: This is a very high-end pairing for basic office tasks. The CPU’s single-core performance will make spreadsheets and browsers feel snappy, and the 24 cores are far beyond what office apps need. The GPU’s 20 GB VRAM is overkill for document work, but it allows for occasional photo editing or data visualization. The combined 95th percentile ensures no slowdown in any typical office workload, though the cost and power are not justified for pure office work.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture. It uses the AD104 chip, fabricated on TSMC’s 5 nm process with 35,800 million transistors and a die size of 294 mm². The GPU has 6144 shading units, 192 texture mapping units, and 64 ROPs. It has 48 RT cores and 192 tensor cores, which are dedicated hardware for ray tracing and AI/machine learning workloads. The memory subsystem consists of 20 GB of GDDR6 VRAM on a 160-bit bus, delivering 360.0 GB/s of bandwidth. The memory runs at 2250 MHz (18 Gbps effective). The GPU’s base clock is 1500 MHz and boost clock is 2175 MHz. The pixel rate is 139.2 GPixel/s and texture rate is 417.6 GTexel/s. FP32 performance is 26.73 TFLOPS, and FP16 performance is also 26.73 TFLOPS (1:1 ratio). The TDP is 130 W, with a single-slot cooler and a 1x 16-pin power connector. The suggested PSU is 300 W. The GPU uses a PCIe 4.0 x16 bus interface and has 4x DisplayPort 1.4a outputs.

The benchmark scores for the GPU are a Geekbench OpenCL score of 146593 and a Vulkan score of 123842. The average benchmark score is 135218, placing it in the 95th percentile. Compared to the nearest rival, the NVIDIA A10M, the RTX 4000 Ada is exactly tied (0.0% delta). The AMD Radeon PRO W6800 is 0.1% behind, the W6800X Duo is 0.4% behind, and the PRO V620 is 0.9% behind. The GPU’s strong OpenCL score reflects its compute capabilities, and the Vulkan score indicates good graphics API performance. The 20 GB VRAM is a major advantage for large workloads, and the 360 GB/s bandwidth is sufficient for high-resolution texture streaming.

FAQ

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

A: The combined percentile is 95, meaning the pairing outperforms 95% of all CPU and GPU combinations in the database.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-14900K has ECC memory support, which is beneficial for error-free long-running tasks.

Q: What memory types are supported by the CPU?

A: The CPU supports DDR4 and DDR5 memory in a dual-channel configuration.

Q: What is the GPU’s VRAM capacity and bandwidth?

A: The RTX 4000 Ada Generation has 20 GB of GDDR6 memory with a 360.0 GB/s bandwidth.

Q: What is the boost clock of the CPU?

A: The CPU has a boost clock of 6.00 GHz.

Q: Which rival CPU is the i9-14900K closest to in performance?

A: The Intel Core i9-14900KF is the closest, with a delta of -0.3% (the i9-14900K is 0.3% slower).

Q: How does the GPU compare to the NVIDIA A10M?

A: The RTX 4000 Ada Generation has a delta of 0.0% compared to the A10M, meaning they have identical average benchmark scores.

Who Should Build It

This pairing is aimed at users who need top-tier performance across both CPU and GPU workloads. Gamers playing at 1080p or 1440p with high refresh rates will benefit from the CPU’s 6.00 GHz boost clock and strong single-thread score of 4697, while the GPU’s 20 GB VRAM and 360 GB/s bandwidth can handle high-resolution textures. Content creators, particularly video editors and 3D artists, will see the Cinebench R23 multi score of 39399.5 and the GPU’s 26.73 TFLOPS FP32 compute as a powerful combination for rendering and encoding. Software developers who compile large projects will appreciate the 24 cores and 32 threads, plus the ECC memory support for data integrity. Students in engineering or data science fields may find the tensor cores useful for AI projects, but the cost and power envelope are high for a student budget. Small businesses that run a mix of office productivity, occasional 3D design, and data analysis will be well served by the 95th percentile performance, though the price point is substantial.

Build Overview

This build is a desktop-class system pairing the Intel Core i9-14900K, a 24-core, 32-thread CPU from the Core 14th Gen series, with the NVIDIA RTX 4000 Ada Generation, a workstation GPU based on the Ada Lovelace architecture. Both components are in the 95th percentile for their respective categories, and the combined percentile is 95. This is a high-end tier configuration, not a budget or mid-range system. The CPU has a TDP of 125 W, and the GPU has a TDP of 130 W, with a suggested PSU of 300 W. The CPU supports a launch MSRP of $589 (state once). The GPU has no launch MSRP listed, so it is not mentioned. The build is designed for maximum compute and rendering capability.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700, which is a desktop platform that supports DDR4 and DDR5 memory, with dual-channel memory bus. The CPU provides 16 PCIe Gen5 lanes, while the GPU uses PCIe 4.0 x16. The system is currently high-end, so the next sensible upgrade would be to a newer generation CPU or a higher-tier GPU. However, the socket 1700 is an existing platform, so a CPU upgrade might require a motherboard change if a new socket is introduced. The GPU is a single-slot card with a 300 W suggested PSU, so a higher-power GPU would need a larger PSU. The CPU’s TDP is 125 W, so a moderate PSU is sufficient for the current configuration. The 20 GB VRAM is already large, and a GPU upgrade would only be needed for even higher memory demands. Given the 95th percentile performance, a sensible next upgrade would be to add more memory or storage, rather than replace either component. The platform is mature and stable.

The CPU’s ECC support and PCIe Gen5 lanes are forward-looking features. The GPU’s 20 GB VRAM and 360 GB/s bandwidth are already top-tier. The only limiting factor is the lack of measured FPS data for games, but the synthetic benchmark scores indicate that this is a system that can handle any modern workload. The 300 W suggested PSU provides headroom for overclocking the CPU, which has an unlocked multiplier, or for adding additional PCIe devices. The build is a complete, high-end workstation that will remain relevant for several years.