SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900KS + NVIDIA RTX 5000 Embedded 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)

▼

GRAPHICS CARD (GPU)

▼

86 Score

Top 14% Ranking

86 / 100

HIGH-END

Power Build

Top 14% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

GPU Bottleneck

CPU

97%

GPU

74%

Your GPU is limiting system performance. Consider upgrading to a more powerful graphics card to better utilize your CPU.

PROCESSOR

Intel Core i9-14900KS

81,127 Benchmark Score

Top 3% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation

0 Benchmark Score

Top 26% 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

GPU 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 i9-14900KS paired with the NVIDIA RTX 5000 Embedded Ada Generation represents a unique desktop configuration, blending a flagship consumer processor with a professional mobile-derived GPU. The data shows a system that sits in the 73rd combined percentile, indicating it outperforms the majority of recorded configurations, though the specific pairing of a 24-core desktop CPU with a 120 W embedded graphics module creates a distinctive performance envelope that requires careful analysis. This combination targets workloads where CPU throughput is paramount, while the GPU provides professional-grade features and reliability rather than raw gaming dominance. The benchmark results reveal a system that excels in multithreaded productivity but presents interesting trade-offs in graphics-intensive scenarios.

Upgrade Path and Platform

The foundation of this build is the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory through a dual-channel memory bus. This flexibility allows builders to choose between the cost-effective maturity of DDR4 or the higher bandwidth of DDR5, though the dual-channel configuration means memory bandwidth is shared across the 24 cores. The platform’s PCIe Gen 5 support, providing 16 lanes from the CPU, ensures that modern high-bandwidth storage devices and future expansion cards can operate at full throughput, though the GPU itself interfaces via PCIe 4.0 x16.

The CPU’s 150 W TDP (thermal design power) represents the sustained power draw, but the Core i9-14900KS is designed to boost well beyond this figure when thermal headroom permits, given its unlocked multiplier and 6.20 GHz boost clock. The system’s total power requirements are modest by desktop standards because the GPU’s 120 W TDP is significantly lower than typical desktop graphics cards. The GPU does not require external power connectors, relying entirely on the motherboard slot, which simplifies cabling and reduces the strain on the power supply. The absence of a suggested PSU rating in the data indicates that this pairing does not demand the high-wattage units typically associated with flagship CPUs, making it accessible for existing high-quality 650-750 W power supplies.

The embedded nature of the RTX 5000 Ada Generation means it is soldered to the board, offering no upgrade path for the GPU component. The CPU, however, is socketed and can be replaced with other LGA 1700 processors, although the Core i9-14900KS already represents the peak of the Raptor Lake Refresh generation. A sensible next upgrade would focus on memory capacity or speed, particularly transitioning from DDR4 to DDR5 if not already adopted, as the dual-channel bus will benefit from higher-frequency kits. The platform’s ECC memory support adds a layer of reliability for professional workloads, though this requires compatible motherboards and registered DIMMs. The integrated UHD Graphics 770 provides a fallback display output and can accelerate media encoding, but the primary graphics workload falls to the dedicated GPU.

Benchmark Performance

The CPU benchmark data paints a picture of exceptional multicore performance. In Cinebench R23, the Core i9-14900KS scores 50,995 points in multicore and 7,199 in single-core. The multicore score places it in the 96th percentile among all CPUs, a ranking that underscores its position near the top of the desktop processor hierarchy. The nearest rivals include the Intel Xeon w5-3535X with an average score of 81,115 (0% delta), the AMD Ryzen 9 8940HX with 81,103 (0% delta), the AMD Ryzen AI Max+ PRO 395 with 80,762 (0.5% slower), and the Intel Xeon 638 with 80,723 (0.5% slower). This tight grouping indicates that the Core i9-14900KS is statistically indistinguishable from these workstation-class chips in aggregate benchmark averages, despite differences in core counts and architecture.

The Geekbench scores of 23,931 multicore and 2,692 single-core reinforce this position. The PassMark results show specialization: integer math scores 212,644, floating-point math scores 153,975, and multithreaded performance scores 60,012. Data compression reaches 803,368, while data encryption hits 47,717. These figures suggest the CPU handles encryption and compression tasks with massive parallelism, though the passmark find prime numbers score of 244 appears low relative to other metrics, possibly indicating a workload that does not scale perfectly with the hybrid core layout. The average benchmark score of 81,127 is the aggregate measure used for percentile ranking, confirming the CPU’s placement alongside the Xeon and Ryzen rivals.

The GPU presents a different story. The RTX 5000 Embedded Ada Generation has an empty benchmark array, an average score of zero, and a 50th percentile ranking among all GPUs. This means the data provides no direct compute or gaming benchmark scores for this specific GPU. The combined percentile of 73 for the whole build is therefore driven almost entirely by the CPU’s strong showing, pulling the system above the median despite the GPU’s middling percentile. The deltaPct values for CPU rivals show a spread of only 0.5% between the Core i9-14900KS and the slower competitors, indicating that at this performance tier, minor architectural differences do not translate into meaningful real-world gaps.

FAQ

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

A: The build ranks in the 73rd percentile among all recorded configurations, indicating it outperforms roughly three-quarters of systems in the database.

Q: How does the CPU compare to its nearest rivals in aggregate benchmark scores?

A: The Core i9-14900KS has an average benchmark score of 81,127, which is effectively tied with the Intel Xeon w5-3535X (81,115) and AMD Ryzen 9 8940HX (81,103), while slightly ahead of the AMD Ryzen AI Max+ PRO 395 (80,762) and Intel Xeon 638 (80,723) by 0.5%.

Q: What is the CPU’s single-threaded performance based on Cinebench R23?

A: The single-core score in Cinebench R23 is 7,199, which places it in the 96th percentile among all CPUs, reflecting excellent responsiveness for lightly threaded workloads.

Q: Does the GPU support modern graphics APIs?

A: Yes, the RTX 5000 Embedded Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it compatible with current and upcoming game and rendering APIs.

Q: What memory types does the platform support?

A: The Intel Socket 1700 platform supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support available for professional use.

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

A: The GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering a bandwidth of 576.0 GB/s, which is substantial for professional workloads but not the highest available.

Q: How does the GPU’s percentile ranking compare to the CPU’s?

A: The CPU ranks in the 96th percentile, while the GPU ranks in the 50th percentile, creating a significant imbalance where the processor vastly outperforms the graphics component in relative terms.

Usage Scenarios

For high-refresh gaming, the CPU’s single-threaded strength, evidenced by the 7,199 Cinebench R23 single-core score and 4,815 PassMark single-thread score, ensures that frame pacing and physics calculations are handled without bottleneck. However, the GPU’s 50th percentile ranking suggests that at 1080p or 1440p with ultra settings, the graphics card will likely limit frame rates to mid-range levels rather than the extreme triple-digit figures associated with top-tier gaming GPUs.

Streaming benefits from the CPU’s 24 cores and 32 threads, as the PassMark multithread score of 60,012 provides ample headroom for simultaneous game encoding and gameplay. The UHD Graphics 770 integrated GPU could offload some encoding tasks, but the dedicated GPU’s capabilities in this regard are not benchmarked. The 16 GB VRAM on the GPU ensures that streaming software and games can coexist in memory without overflow.

Video editing workflows leverage both components. The CPU’s Cinebench R23 multicore score of 50,995 accelerates timeline rendering and export encoding, while the GPU’s 16 GB VRAM and 576.0 GB/s bandwidth handle effects processing and preview rendering. The GPU’s Ada Lovelace architecture with 76 RT cores and 304 tensor cores suggests hardware-accelerated ray tracing and AI-driven features, though specific benchmark data is absent.

3D rendering in applications like Blender or Maya relies heavily on CPU multithreading for simulation and physics, where the 50,995 multicore score excels. The GPU’s FP32 performance of 32.69 TFLOPS provides substantial compute for viewport rendering, though the 50th percentile ranking indicates it will not compete with dedicated workstation GPUs on render times.

Software development benefits from the CPU’s high single-thread score for compilation of build scripts, while the 24 cores handle parallel builds of large projects efficiently. The PassMark data encryption score of 47,717 indicates strong cryptographic performance for secure coding and signing operations.

Student and office work is overkill for this configuration. The CPU’s single-threaded prowess makes spreadsheet calculations and document processing instantaneous, but the system’s power and cooling requirements are excessive for such tasks. The 96th CPU percentile and 73rd combined percentile underscore that this build targets performance-critical professions rather than casual productivity.

CPU Analysis

The Intel Core i9-14900KS is a 24-core, 32-thread processor based on the Raptor Lake architecture, manufactured on Intel’s 10 nm process with a die size of 257 mm². The base clock is 3.20 GHz, boosting to a remarkable 6.20 GHz under load, which is the highest boost clock recorded in the data. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB L3 cache, providing substantial on-die storage for frequently accessed data.

The 96th percentile ranking among all CPUs, with an average benchmark score of 81,127, places this chip at the apex of consumer desktop processors. The Cinebench R20 scores of 21,417 multicore and 3,023 single-core demonstrate consistent scaling across rendering workloads. The Geekbench multicore score of 23,931 reflects strong performance in diverse real-world applications, while the PassMark integer math score of 212,644 indicates exceptional throughput for computational tasks that rely on integer operations.

The architecture’s hybrid design, combining performance and efficiency cores, allows the processor to balance power consumption against burst performance. The unlocked multiplier enables overclocking, though the 6.20 GHz boost already approaches the practical limits of air cooling. The 150 W TDP is a conservative figure; sustained all-core workloads will demand more power, but the data does not specify maximum package power. The ECC memory support is unusual for a consumer chip and indicates Intel’s intent for this processor to serve in entry-level workstation roles.

The nearest rival comparisons show a 0% delta with the Xeon w5-3535X and Ryzen 9 8940HX, meaning these processors perform identically in aggregate benchmarks despite different core configurations. The 0.5% delta for the Ryzen AI Max+ PRO 395 and Xeon 638 is within measurement noise, suggesting that at this performance tier, the choice of processor has minimal impact on overall system capability.

Who Should Build It

The primary audience for this build consists of professionals who require extreme CPU throughput but have modest GPU demands. Software developers compiling large codebases will benefit from the 24 cores and the 60,012 PassMark multithread score, which drastically reduces build times. Data scientists and researchers running simulation or analysis software that scales across cores will find the 50,995 Cinebench R23 multicore score compelling.

Content creators working with 3D modeling or video encoding can leverage the CPU’s strength while the GPU provides 16 GB of VRAM for texture-heavy scenes. The GPU’s 50th percentile ranking means these creators should not expect real-time ray tracing at high resolutions, but the 32.69 TFLOPS FP32 performance supports offline rendering and compute tasks.

Students in engineering or computer science programs, where coursework involves heavy computation, would benefit from the CPU’s performance, though the system’s cost and power draw are excessive for typical student use. Small business workstations handling database queries, financial modeling, or scientific computing align well with the CPU’s capabilities and ECC memory support, which ensures data integrity over long compute sessions.

Gamers seeking maximum frame rates should look elsewhere, as the GPU’s mid-tier percentile will bottleneck the CPU’s potential in most gaming scenarios. This build is for those who prioritize CPU-bound workloads and need the GPU primarily for display output and GPU-accelerated compute in professional applications.

Balance and Bottleneck

The imbalance between the CPU’s 96th percentile and the GPU’s 50th percentile creates a clear bottleneck in graphics-intensive workloads. For gaming, the GPU will limit frame rates regardless of the CPU’s strength, meaning the 6.20 GHz boost clock and 24 cores go underutilized in most game engines that rely on a few threads. The data shows no measured FPS figures, so this is inferred from the percentile disparity.

In CPU-bound workloads, the system is perfectly balanced, as the GPU’s compute capabilities are sufficient to complement the processor’s output. For tasks like 3D rendering, the CPU handles simulation and geometry preparation, while the GPU’s 576.0 GB/s bandwidth and 32.69 TFLOPS FP32 performance manage the rasterization and shading. The GPU’s 76 RT cores and 304 tensor cores suggest that ray-traced workloads will run, but the 50th percentile ranking indicates they will not run at the speed of dedicated high-end graphics cards.

The bottleneck shifts depending on the workload. For video encoding, the CPU’s multithreaded performance dominates, with the GPU serving as a display adapter. For machine learning inference, the GPU’s tensor cores become the limiting factor, as their throughput is not benchmarked but the overall GPU percentile suggests moderate performance. The system’s 73rd combined percentile reflects this duality: strong where the CPU leads, average where the GPU must carry the load.

Build Overview

This is a desktop build that pairs the Intel Core i9-14900KS, a flagship consumer processor, with the NVIDIA RTX 5000 Embedded Ada Generation, a professional GPU designed for mobile workstations. The CPU’s 96th percentile ranking and the GPU’s 50th percentile ranking create a configuration that is simultaneously a top-tier CPU workstation and a mid-tier graphics platform. The combined percentile of 73 places this system above the majority of builds, but the distribution of performance is heavily skewed toward the processor.

The build class is desktop, despite the GPU’s embedded nature, which typically indicates a laptop component. This suggests a custom or proprietary desktop design that integrates the mobile GPU on the motherboard. The system’s overall tier, based on the 73rd percentile, is upper-mid-range, capable of professional workloads but not the absolute highest graphics performance available. The lack of measured FPS data and the GPU’s empty benchmark array make it challenging to assess real-world gaming performance, but the percentile rankings provide a relative measure of capability.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip using TSMC’s 5 nm process, with 45,900 million transistors on a 379 mm² die. The GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The core clocks are 930 MHz base and 1,680 MHz boost, with memory running at 2,250 MHz (18 Gbps effective). The shader configuration includes 9,728 shading units, 304 texture mapping units, and 112 raster output units.

The Ada Lovelace architecture provides 76 RT cores for ray tracing and 304 tensor cores for AI acceleration. The FP32 performance is 32.69 TFLOPS, with FP16 achieving the same 32.69 TFLOPS at a 1:1 ratio, indicating no consumer-oriented FP16 acceleration. The pixel rate is 188.2 GPixel/s and the texture rate is 510.7 GTexel/s, providing substantial fill rates for rendering.

The GPU’s 50th percentile ranking, with no benchmark scores, suggests it performs at the median of all GPUs in the database. This is surprising given the professional positioning and 16 GB VRAM, but the 120 W TDP and embedded form factor limit performance compared to desktop GPUs with higher power budgets. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern APIs. The memory bandwidth of 576.0 GB/s is adequate for 1440p gaming and professional workloads, but not exceptional.

For rendering tasks, the 32.69 TFLOPS FP32 performance and 16 GB VRAM allow for complex scenes, though the 50th percentile suggests render times will be moderate. The tensor cores enable DLSS and other AI-driven features, but without benchmark data, their real-world impact cannot be quantified. The GPU’s power efficiency, at 120 W, is a key advantage, allowing for compact system designs.

Gaming Performance

No measured FPS data exists for this exact CPU and GPU combination. The FACT PACK contains no measuredFpsUltraByGame entries, and the dataIsMeasured flag is false. All gaming performance discussions are therefore estimates derived from the benchmark scores and percentile rankings.

Based on the GPU’s 50th percentile ranking and the CPU’s 96th percentile, the system will likely deliver playable frame rates at 1080p and 1440p with high settings in most titles, but will struggle to maintain high refresh rates at 4K or with ultra settings in demanding games. The CPU’s single-thread score of 7,199 in Cinebench R23 ensures that frame times are consistent, but the GPU’s 16 GB VRAM and 576.0 GB/s bandwidth will cap performance in GPU-bound scenarios.

For esports titles like Counter-Strike or Valorant, the CPU’s strength allows frame rates to reach high levels, limited only by the GPU’s fill rate. For AAA games with ray tracing, the 76 RT cores provide hardware acceleration, but the mid-tier percentile suggests that ray-traced effects will require DLSS or reduced settings to maintain smoothness. The system is best suited for 1080p high-refresh gaming or 1440p at standard refresh rates, where the CPU’s power prevents bottlenecks and the GPU delivers consistent, if not spectacular, performance.

Rate My PC: Intel Core i9-14900KS + NVIDIA RTX 5000 Embedded Ada Generation

Power Build

System Balance Analysis

Intel Core i9-14900KS

NVIDIA RTX 5000 Embedded 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

Upgrade Path and Platform

Benchmark Performance

FAQ

Usage Scenarios

CPU Analysis

Who Should Build It

Balance and Bottleneck

Build Overview

GPU Analysis

Gaming Performance

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

Related Processors

Related Graphics Cards

Compare Your CPU

Compare Your GPU

Related PC Builds

Same CPU with Different GPUs

Same GPU with Different CPUs

Other Popular Builds