SYSTEM ANALYZER

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

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
GPU Bottleneck
CPU
95%
VS
GPU
74%

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

PROCESSOR

Intel Core i9-14900

58,115 Benchmark Score
Top 5% 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 i9-14900 and NVIDIA RTX 5000 Embedded Ada Generation form a desktop pairing that combines a high-core-count 14th-generation Intel processor with a professional-grade NVIDIA GPU. The data shows a system positioned at the 71st percentile overall, indicating a configuration that sits comfortably above the median for combined CPU and GPU performance. This analysis draws exclusively from the provided benchmark data, which contains no measured frame rate information for this exact combination; all gaming performance discussion is therefore estimated from the CPU and GPU scores.

CPU Analysis

The Intel Core i9-14900 is a 24-core, 32-thread processor based on the Raptor Lake architecture, built on Intel’s 10 nm process node. It operates with a base clock of 2.00 GHz and a boost clock of 5.80 GHz, with a thermal design power (TDP) of 65 watts. The chip features a substantial cache hierarchy: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. This configuration supports dual-channel DDR4 and DDR5 memory, includes ECC memory support, and provides 16 PCIe Gen 5 lanes from the CPU. The integrated UHD Graphics 770 is present, though the dedicated GPU in this build handles graphics duties.

Benchmark scores for the i9-14900 place it in the 92nd percentile among all CPUs, with an average benchmark score of 58,115. In multi-threaded workloads, the processor delivers strong results: Cinebench R23 multi-core scores 31,070, while Geekbench multi-core reaches 18,495. Single-thread performance is equally notable, with Cinebench R23 single-core at 2,212 and Geekbench single-core at 2,488. These figures indicate a processor that excels in both heavily threaded tasks and lightly threaded applications.

The nearest rival comparisons show the i9-14900 trading blows with enterprise and enthusiast parts. It sits 0.4% below the Intel Xeon Platinum 8260M, 0.5% below the AMD Ryzen 7 9850X3D, and 0.7% below the Intel Xeon w5-2545, while running 1% ahead of the AMD EPYC 9015. These deltaPct values, all within roughly one percent, suggest the i9-14900 performs in a narrow band with these competitors, making it a versatile choice for workloads that benefit from high core counts and strong single-thread speed.

Passmark results reinforce the processor’s broad capability. Data compression scores 550,271, data encryption hits 33,540, and floating-point math reaches 120,262. Integer math posts 175,010, and extended instructions score 30,624. The multithread score of 44,578 and single-thread score of 4,323 indicate balanced performance across diverse instruction types, from encryption to prime number finding, which scored 188. These numbers suggest real-world workloads like file compression, scientific calculations, and database operations will run efficiently.

Benchmark Performance

The CPU’s benchmark suite provides a detailed picture of its performance profile. In Cinebench R15, the multi-core score is 4,793 and single-core is 315. Cinebench R20 shows 15,910 multi-core and 2,245 single-core. The R23 results, mentioned earlier, demonstrate scaling that remains strong as thread counts increase. Geekbench scores of 18,495 multi-core and 2,488 single-core align closely with Cinebench patterns, confirming consistent performance across different testing methodologies.

The GPU, an NVIDIA RTX 5000 Embedded Ada Generation, holds a 50th percentile position among all GPUs, with an average benchmark score of 0 in the provided data. This percentile ranking indicates the GPU performs at the median level, meaning half of all GPUs score higher and half score lower. The GPU’s benchmark array is empty in the fact pack, so its performance must be inferred from its specifications rather than direct scores. The combined percentile for the CPU and GPU pairing is 71, suggesting that the CPU’s strong 92nd percentile ranking pulls the overall system higher than the GPU’s median position alone would indicate.

The combined picture shows a system where CPU-bound tasks will see excellent performance, while GPU-bound workloads will perform at an average level relative to other graphics cards. The absence of measured FPS data means no direct frame rate comparisons are possible, but the CPU’s high percentile and the GPU’s mid-range percentile offer a baseline for expectations. For productivity applications that rely heavily on the processor, this build will outperform most systems; for graphics-intensive tasks, it will match typical mid-range GPU performance.

Gaming Performance

No measured FPS rows exist for this exact CPU and GPU combination in the fact pack. The data set contains no measuredFpsUltraByGame entries, and the dataIsMeasured flag is false. Consequently, all frame rate figures discussed here are estimates derived from the benchmark scores and hardware specifications, not from direct testing.

The CPU’s 92nd percentile ranking and strong single-thread score of 4,323 in Passmark suggest it can feed modern GPUs effectively in most titles. The boost clock of 5.80 GHz provides high per-core performance, which is critical for gaming frame pacing. The GPU’s specifications, including 16 GB of GDDR6 memory and 76 ray tracing cores, indicate it can handle demanding games, but its 50th percentile position suggests performance will be average rather than exceptional. At 1080p, where CPU load is higher, the i9-14900’s strong single-thread performance should maintain high frame rates, though the GPU may become the limiting factor. At 1440p and 4K, the GPU’s workload increases, and its median percentile suggests frame rates will drop accordingly, but the 16 GB VRAM and 576.0 GB/s bandwidth provide capacity for high-resolution textures.

Ray tracing performance, supported by 76 RT cores and 304 tensor cores, should enable features like DLSS, but without measured scores, exact expectations remain qualitative. The GPU’s FP32 throughput of 32.69 TFLOPS offers raw compute that can help in titles with heavy effects, though the median percentile tempers expectations. For esports and less demanding titles, the CPU’s high clock speed and the GPU’s 112 ROPs should deliver smooth gameplay at competitive settings, but these are estimates.

Who Should Build It

This configuration targets users who prioritize CPU throughput while maintaining a capable GPU for moderate graphics work. Content creators working with video editing, 3D rendering, or software compilation will benefit from the i9-14900’s 24 cores and 32 threads, which drive Cinebench R23 multi-core scores to 31,070 and Passmark multithread to 44,578. Developers compiling large codebases will see strong performance from the high core count and 36 MB of L3 cache, which aids in data-heavy workloads.

Students and small business workstations can leverage the processor’s 92nd percentile ranking for tasks like data analysis, simulation, and office productivity, where the 65-watt TDP keeps power requirements modest. The GPU’s 16 GB VRAM and ECC-capable CPU memory support make this build suitable for professionals who need reliable rendering or light machine learning workloads, though the GPU’s median percentile means it is not a top-tier graphics solution. Gamers seeking high-refresh 1080p play will find the CPU capable, but those targeting 4K ultra settings may find the GPU lacking relative to the CPU’s strength.

Balance and Bottleneck

The data reveals a clear imbalance between CPU and GPU performance. The i9-14900 sits at the 92nd percentile, while the RTX 5000 Embedded Ada Generation rests at the 50th percentile. This 42-point gap indicates the GPU is the primary bottleneck in graphics-heavy workloads. In gaming, the CPU’s high single-thread score of 4,323 and boost clock of 5.80 GHz will rarely limit frame rates, but the GPU’s median position will cap performance, especially at higher resolutions where pixel throughput matters more.

In CPU-bound tasks like video encoding, 3D rendering, or scientific computations, the processor will dominate, and the GPU’s role diminishes. The Cinebench R23 multi-core score of 31,070 and Geekbench multi-core of 18,495 show the CPU can handle substantial parallel workloads, making it the limiting factor only when the task exceeds its 32 threads. The GPU’s FP32 throughput of 32.69 TFLOPS provides decent compute for rendering, but it is not a bottleneck in CPU-heavy scenarios. The combined percentile of 71 reflects this split: the system performs well overall, but the GPU drags down the average in graphics-bound applications.

Usage Scenarios

High-refresh gaming: The CPU’s 5.80 GHz boost clock and 92nd percentile ranking support high frame rates, but the GPU’s 50th percentile limits maximum FPS, making this a solid 1080p or 1440p option rather than a 4K high-refresh powerhouse.

Streaming: The i9-14900’s 24 cores and 32 threads handle encoding and gameplay simultaneously, with Passmark multithread at 44,578 ensuring minimal impact on game performance, while the GPU’s 304 tensor cores could assist with AI-based encoding features.

Video editing: Multi-core Cinebench R23 score of 31,070 accelerates timeline rendering and export, and the GPU’s 16 GB VRAM supports large preview buffers, though the median GPU percentile means effects-heavy timelines may lag.

3D rendering: CPU-based renderers will excel with 24 cores, but GPU-accelerated renders will perform at average levels given the 50th percentile position, making this better suited for hybrid workloads.

Software development: Compilation tasks benefit from 32 threads and 36 MB of L3 cache, with Passmark integer math at 175,010 indicating strong performance in code-heavy operations.

Student and office work: The CPU’s single-thread score of 4,323 handles everyday applications briskly, and the 65-watt TDP keeps systems quiet and cool, though the GPU is overkill for basic tasks.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is based on the AD103 chip, built on TSMC’s 5 nm process with 45,900 million transistors on a 379 mm² die. It features 9,728 shading units, 304 texture mapping units, and 112 raster output pipelines, along with 76 ray tracing cores and 304 tensor cores. Clock speeds are 930 MHz base and 1,680 MHz boost, with memory running at 2,250 MHz or 18 Gbps effective. The GPU packs 16 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth.

The GPU’s compute capabilities include 32.69 TFLOPS for both FP32 and FP16, with pixel rate at 188.2 GPixel/s and texture rate at 510.7 GTexel/s. These figures support rendering tasks like high-resolution texture mapping and pixel shading, but the 50th percentile ranking among all GPUs indicates that rival cards offer higher raw performance. The 120-watt TDP and IGP slot width suggest this is a compact, power-efficient design intended for embedded or mobile workstations, not a desktop gaming flagship. The absence of benchmark scores means the GPU’s real-world performance is uncertain, but its architectural features—Ada Lovelace, 76 RT cores, and 304 tensor cores—position it for professional rendering and AI workloads rather than high-FPS gaming.

FAQ

Q: What is the CPU’s benchmark percentile?

A: The Intel Core i9-14900 sits at the 92nd percentile among all CPUs, with an average benchmark score of 58,115.

Q: How much VRAM does the GPU have, and what is its bandwidth?

A: The RTX 5000 Embedded Ada Generation has 16 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth.

Q: What is the combined performance percentile of this build?

A: The CPU and GPU pairing achieves a combined percentile of 71, reflecting the CPU’s strong score and the GPU’s median position.

Q: Does this CPU support ECC memory?

A: Yes, the Intel Core i9-14900 has ECC memory support, along with dual-channel DDR4 and DDR5 memory compatibility.

Q: What is the GPU’s ray tracing capability?

A: The GPU includes 76 ray tracing cores and 304 tensor cores, with FP32 and FP16 throughput of 32.69 TFLOPS each.

Q: How does the CPU compare to the AMD Ryzen 7 9850X3D?

A: The i9-14900 trails the Ryzen 7 9850X3D by 0.5% in average benchmark score, a negligible difference given the deltaPct.

Q: What is the CPU’s launch MSRP?

A: The Intel Core i9-14900 has a launch MSRP of $549.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700, which supports DDR4 and DDR5 memory in a dual-channel configuration. The platform provides 16 PCIe Gen 5 lanes from the CPU, while the GPU connects via PCIe 4.0 x16, ensuring compatibility with current motherboards. The CPU’s 65-watt TDP is modest, and while the suggested PSU for the GPU is not specified, the 120-watt GPU TDP suggests a standard desktop power supply will suffice, though the data does not provide exact wattage recommendations.

A sensible next upgrade would focus on the GPU, given the 42-point percentile gap between the CPU’s 92nd and the GPU’s 50th. Swapping the RTX 5000 Embedded Ada Generation for a higher-percentile GPU would better utilize the CPU’s headroom in gaming and rendering. Alternatively, adding more memory or faster DDR5 could improve CPU-bound tasks, but the current 36 MB of L3 cache and dual-channel support already provide solid bandwidth. The platform’s PCIe Gen 5 lanes are forward-looking, though the GPU currently uses Gen 4, leaving room for future expansion.

Build Overview

This desktop build pairs the Intel Core i9-14900, a 24-core, 32-thread Raptor Lake processor, with the NVIDIA RTX 5000 Embedded Ada Generation, a 16 GB GPU based on the AD103 chip. The CPU ranks at the 92nd percentile among all processors, while the GPU sits at the 50th percentile, resulting in a combined percentile of 71. This tier places the system above average overall, but the discrepancy between the two components defines its character: it excels in CPU-intensive workloads and performs adequately in graphics-bound tasks. For users prioritizing processor performance—content creation, development, or productivity—this build delivers exceptional value in that domain, while the GPU provides competent but not outstanding graphics capabilities. The pairing is best suited for professional or workstation use where the CPU’s multi-threaded strength is the primary requirement.