SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KF + NVIDIA GeForce RTX 4070 SUPER

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

96 / 100
ULTIMATE READY

Apex Performer

Top 4% 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
96%
PROCESSOR

Intel Core i9-14900KF

79,371 Benchmark Score
Top 3% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4070 SUPER

43,223 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 i9-14900KF and NVIDIA GeForce RTX 4070 SUPER form a high-end desktop pairing that delivers top-tier compute performance for productivity and strong 1440p-class rasterization. The CPU sits at the 95th percentile among all processors, while the GPU lands at the 83rd percentile among all graphics cards, placing this build in the 89th combined percentile. The data for this combination is derived from individual component benchmark scores, as no measured FPS rows exist for this exact pairing; all gaming performance figures discussed here are estimates based on those synthetic scores.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA GeForce RTX 4070 SUPER is built on the Ada Lovelace architecture using a 5 nm TSMC process, packing 35,800 million transistors into a 294 mm² die. The GPU features 12 GB of GDDR6X memory on a 192-bit bus, delivering a memory bandwidth of 504.2 GB/s. With a base clock of 1980 MHz and a boost clock of 2475 MHz, the card operates at a pixel rate of 198.0 GPixel/s and a texture rate of 554.4 GTexel/s. Raw compute is rated at 35.48 TFLOPS for both FP32 and FP16, with the FP16 figure listed as 1:1, meaning no rate penalty for half-precision workloads.

The RTX 4070 SUPER includes 56 RT cores and 224 tensor cores, making it a capable option for ray-traced rendering and AI-accelerated tasks. The 224 tensor cores are significant for DLSS and similar upscaling technologies, while the 56 RT cores handle dedicated ray intersection workloads. The GPU’s 7168 shading units, 224 TMUs, and 80 ROPs provide a balanced configuration for traditional rasterization. The card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad API compatibility for modern titles and professional applications.

Benchmark scores for the GPU show a 3DMark Steel Nomad DX12 score of 4627, which indicates solid DirectX 12 performance for next-generation game engines. The Geekbench OpenCL score of 172795 and Vulkan score of 205624 demonstrate strong compute throughput across different APIs. In PassMark tests, the GPU achieves 29995 in G3D, 17108 in GPU compute, and 1184 in G2D, with DirectX 11 scoring 273 and DirectX 12 scoring 110. The GPU’s average benchmark score of 43223 places it at the 83rd percentile, with its closest rivals being the NVIDIA Quadro M6000 24 GB at a delta of -0.1%, the RTX 5050 Mobile at -0.1%, and the Quadro M6000 at -0.2%. The RTX 4090 Mobile is 1% ahead, showing the 4070 SUPER sits just below a top-tier mobile part.

For rendering, the 12 GB VRAM capacity is the critical constraint. The 504.2 GB/s bandwidth supports high-resolution textures and complex scenes, but 12 GB may limit extreme 4K asset loads. The FP32 throughput of 35.48 TFLOPS is well-suited for viewport rendering and GPU-accelerated effects in DCC applications. The 1:1 FP16 ratio doubles the effective throughput for workloads that can use reduced precision, which is common in machine learning inference and some post-processing effects.

FAQ — 5-7 Q&A pairs answerable from FACT PACK data

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

A: The Intel Core i9-14900KF and RTX 4070 SUPER combination sits at the 89th combined percentile, with the CPU at the 95th and the GPU at the 83rd percentile individually.

Q: How does the Core i9-14900KF compare to its closest rival, the Core i9-14900K?

A: The i9-14900KF has an average benchmark score of 79371, which is 0.3% higher than the i9-14900K’s 79097. The KF variant is also 0.3% behind the Intel Core Ultra 9 290HX Plus and 0.8% behind the AMD EPYC 7413.

Q: What is the memory bandwidth of the RTX 4070 SUPER?

A: The GPU has a memory bandwidth of 504.2 GB/s, achieved through 12 GB of GDDR6X memory on a 192-bit bus with an effective speed of 21 Gbps.

Q: Does the Core i9-14900KF have integrated graphics?

A: No, the FACT PACK lists integratedGraphics as null for the i9-14900KF, meaning this is a KF variant without an iGPU. A discrete graphics card is required for display output.

Q: What is the socket and PCIe support for the i9-14900KF?

A: The CPU uses Intel Socket 1700 and supports PCIe Gen 5 with 16 lanes (CPU only). The RTX 4070 SUPER uses a PCIe 4.0 x16 interface.

Q: What are the Cinebench R23 scores for the i9-14900KF?

A: The CPU scores 49370 in Cinebench R23 multi-core and 6969 in single-core, indicating strong multi-threaded rendering performance and excellent single-thread responsiveness.

Q: How does the RTX 4070 SUPER perform in 3DMark Steel Nomad?

A: The GPU scores 4627 in 3DMark Steel Nomad DX12, which is a measure of modern DirectX 12 game performance, placing it near the top of the 83rd percentile range.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The balance between the i9-14900KF and RTX 4070 SUPER is asymmetric, with the CPU significantly outperforming the GPU in relative percentile terms. The CPU’s 95th percentile rank versus the GPU’s 83rd percentile suggests that in most gaming scenarios, the GPU will be the primary bottleneck, especially at higher resolutions where pixel throughput becomes the limiting factor. The CPU’s PassMark multithread score of 58405 and single-thread score of 4685 provide ample headroom for feeding the GPU with draw calls and physics calculations.

In compute-heavy workloads like 3D rendering, the balance shifts. The CPU’s Cinebench R23 multi-core score of 49370 indicates it can handle CPU-based rendering tasks with ease, while the GPU’s 35.48 TFLOPS FP32 throughput will accelerate GPU-based renderers. For tasks that use both, such as hybrid rendering pipelines, the CPU’s 32 threads and the GPU’s 7168 shading units can operate in parallel, reducing overall bottleneck effects. The PassMark data compression score of 785831 and encryption score of 46416 show the CPU excels at data-intensive tasks, while the GPU’s compute score of 17108 indicates it is less dominant in pure compute relative to its gaming performance.

The lack of measured FPS data means bottleneck analysis relies on synthetic scores. The GPU’s PassMark G3D score of 29995 versus the CPU’s multithread score of 58405 suggests a ratio where the CPU has roughly double the relative performance. In practical terms, at 1080p, the CPU’s single-thread advantage (Cinebench R23 single-core 6969) will ensure high frame rates are achievable, but the GPU’s rasterization limits will cap maximum FPS. At 4K, the GPU becomes the clear bottleneck, as the 12 GB VRAM and 504.2 GB/s bandwidth will struggle with high-resolution textures, while the CPU remains underutilized.

Who Should Build It — target users and industries tied strictly to the measured performance

This build targets users who need extreme multi-threaded CPU performance for productivity while maintaining strong GPU acceleration for content creation and gaming. The i9-14900KF’s 95th percentile rank makes it suitable for software developers compiling large codebases, as the PassMark integer math score of 209125 and extended instructions score of 44839 demonstrate significant processing throughput. The CPU’s ECC memory support (listed as true) adds reliability for workstation-class tasks, though the platform supports both DDR4 and DDR5.

For content creators, the combination of the CPU’s Cinebench R20 multi-core score of 20735 and the GPU’s 3DMark Steel Nomad score of 4627 provides a capable platform for video editing and motion graphics. The CPU’s PassMark floating point math score of 151918 indicates strong numerical processing for simulations and scientific computing. Students in engineering or data science fields will benefit from the CPU’s multi-thread performance for MATLAB or Python workloads, while the GPU’s 224 tensor cores enable machine learning experiments.

Small business workstations serving as development or CAD machines will find the i9-14900KF’s 24 cores and 32 threads sufficient for parallel compilation, and the RTX 4070 SUPER’s 12 GB VRAM handles moderate 3D model sizes. The GPU’s DirectX 12 Ultimate support ensures compatibility with modern CAD and visualization software. The CPU’s PassMark physics score of 3159 supports real-time simulation workloads, while the GPU’s OpenCL score of 172795 enables GPU-accelerated compute in professional applications.

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The Intel Core i9-14900KF is a 24-core, 32-thread desktop processor based on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It operates on a 10 nm Intel process node with a die size of 257 mm². The base clock is 3.20 GHz with a boost clock of 6.00 GHz, and the TDP is rated at 125 W. The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support enabled. The multiplier is unlocked, allowing overclocking, and the CPU uses Intel Socket 1700.

The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. This large cache pool aids in reducing memory latency for frequently accessed data, which is critical for gaming and database workloads. The CPU has a market segment of Desktop and a production status of Active, released on October 16, 2023, with a launch MSRP of $564.

Benchmark results show the CPU is a multi-threaded powerhouse. Cinebench R23 multi-core scores 49370, while single-core scores 6969, indicating a strong balance. Geekbench multi-core scores 23789 and single-core 2727. In PassMark tests, the CPU achieves 58405 in multithread, 4685 in single-thread, and 209125 in integer math. The average benchmark score is 79371, placing it at the 95th percentile. The nearest rival is the Intel Core Ultra 9 290HX Plus with an average score of 79574, a delta of -0.3%, meaning the i9-14900KF is essentially tied with it. The i9-14900K is 0.3% behind, and the EPYC 7413 is 0.8% ahead.

For real workloads, the Cinebench R20 scores of 20735 multi-core and 2926 single-core translate to fast video rendering and quick application launches. The PassMark data compression score of 785831 indicates excellent archive handling, while the encryption score of 46416 supports secure file operations. The find prime numbers score of 231 is modest, suggesting this CPU is not optimized for that specific workload.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame

The FACT PACK contains no measured FPS data for this exact CPU+GPU combination, as the measuredFpsUltraByGame field is empty and dataIsMeasured is false. Therefore, all gaming performance figures discussed here are estimates derived from the benchmark scores of the individual components. The GPU’s 3DMark Steel Nomad DX12 score of 4627 and PassMark G3D score of 29995, combined with the CPU’s strong single-core performance (Cinebench R23 single-core 6969), indicate this build is well-suited for high-refresh gaming at 1440p and capable of playable 4K in less demanding titles.

At 1080p, the CPU’s 6.00 GHz boost clock and high single-thread scores will likely push frame rates high, but the GPU’s 83rd percentile rank may limit maximum FPS in esports titles. At 1440p, the GPU’s 12 GB VRAM and 504.2 GB/s bandwidth should handle most modern games at ultra settings, with the CPU providing ample headroom. At 4K, the GPU becomes the limiting factor, and the 12 GB VRAM may cause texture quality reductions in VRAM-heavy titles. These estimates are based on the synthetic scores and not on direct measurements.

Usage Scenarios — grounded in the scores

High-refresh gaming: The CPU’s single-core Cinebench R23 score of 6969 and the GPU’s 3DMark Steel Nomad score of 4627 suggest this build can drive high refresh rates at 1080p and 1440p, with the CPU’s 6.00 GHz boost preventing frame rate drops in CPU-bound scenarios.

Streaming: The i9-14900KF’s 32 threads (PassMark multithread 58405) provide ample headroom for encoding while gaming, and the GPU’s NVENC capabilities (implied by 224 tensor cores) can offload streaming workloads, though the FACT PACK does not specify encoder details.

Video editing: The CPU’s Cinebench R23 multi-core score of 49370 and the GPU’s fp32 throughput of 35.48 TFLOPS enable smooth timeline scrubbing and fast export times, with 12 GB VRAM handling 4K previews.

3D rendering: The CPU’s 24 cores excel in CPU-based renderers (Cinebench R20 multi-core 20735), while the GPU’s 56 RT cores and 35.48 TFLOPS accelerate GPU-based renderers like Blender Cycles or Octane.

Software development: The CPU’s PassMark integer math score of 209125 and extended instructions score of 44839 indicate fast compilation and code analysis, with 32 threads enabling parallel builds.

Student and office work: The CPU’s single-thread score of 4685 ensures responsive daily use, and the GPU’s G2D score of 1184 handles 2D desktop acceleration, though this configuration is overkill for basic office tasks.

Build Overview — what this CPU+GPU pairing is, its class, and overall tier

This is a desktop-class build combining the Intel Core i9-14900KF and NVIDIA GeForce RTX 4070 SUPER. The CPU is a 24-core, 32-thread processor from the Core 14th Gen series, based on the Raptor Lake architecture, and the GPU is a 40-series Ada Lovelace card. The build sits at the 89th combined percentile, indicating a high-tier configuration that excels in productivity and high-resolution gaming. The CPU’s 95th percentile rank makes it a top-tier processor, while the GPU’s 83rd percentile rank places it above average but below the absolute highest-end cards. The combination is best described as a workstation-class CPU paired with an upper-mid-range GPU, creating a system that prioritizes compute throughput over pure gaming rasterization.

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The CPU’s average benchmark score is 79371, placing it at the 95th percentile among all CPUs. Its nearest rival, the Intel Core Ultra 9 290HX Plus, scores 79574, a delta of -0.3%, meaning the i9-14900KF is effectively tied with it. The i9-14900K scores 79097 (delta 0.3%), and the AMD EPYC 7413 scores 80041 (delta -0.8%). The CPU’s Cinebench R23 scores are 49370 multi-core and 6969 single-core, while Geekbench scores are 23789 multi-core and 2727 single-core. PassMark multithread is 58405, and single-thread is 4685.

The GPU’s average benchmark score is 43223, placing it at the 83rd percentile. Its nearest rival is the NVIDIA Quadro M6000 24 GB with a score of 43262 (delta -0.1%), followed by the RTX 5050 Mobile at 43268 (delta -0.1%) and the Quadro M6000 at 43301 (delta -0.2%). The RTX 4090 Mobile is 1% ahead at 43667. The GPU’s 3DMark Steel Nomad score is 4627, and Geekbench Vulkan is 205624. PassMark G3D is 29995, and GPU compute is 17108.

The combined picture shows a system where the CPU is a top-5% performer while the GPU is a top-17% performer. This asymmetry means the CPU will rarely bottleneck the GPU in gaming, but the GPU will limit the CPU’s potential in compute-heavy tasks that rely on GPU acceleration. The overall 89th combined percentile reflects a strong system, but the GPU is the weaker link.

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom, and what a sensible next upgrade looks like

The platform is based on Intel Socket 1700, which supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support available. The CPU provides PCIe Gen 5 with 16 lanes (CPU only), while the GPU uses a PCIe 4.0 x16 interface. The CPU’s TDP is 125 W, and the GPU’s TDP is 220 W, with a suggested PSU rating of 550 W. The GPU is dual-slot, measuring 267 mm in length, 112 mm in height, and 42 mm in width, with a single 16-pin power connector.

The CPU’s socket, Intel Socket 1700, is the last for this platform, as the successor generation uses a different socket. A sensible next upgrade for this build would be to replace the GPU, as the CPU’s 95th percentile rank leaves significant headroom. The RTX 4070 SUPER’s 83rd percentile suggests a move to a higher-tier GPU would balance the system, though the FACT PACK does not specify which card would be a better match. The PSU headroom of 550 W is adequate for the current configuration, but a GPU upgrade would likely require a higher-wattage unit, which is not specified in the data. The platform supports DDR5, so a memory upgrade from DDR4 to DDR5 is possible if the motherboard supports it, but the FACT PACK does not specify performance differences. The CPU’s unlocked multiplier allows overclocking, which could extend its useful life before a full platform upgrade is needed.