SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900 + NVIDIA RTX 5000 Embedded Ada Generation X2

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 X2

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 X2 form a desktop pairing that combines a high-core-count 14th Gen processor with a workstation-class GPU. The CPU is a 24-core, 32-thread Raptor Lake-R part with a 2.00 GHz base clock and a 5.80 GHz boost clock, built on Intel’s 10 nm process. The GPU is an Ada Lovelace architecture chip with 16 GB of GDDR6 memory on a 256-bit bus. Because no measured FPS data exists for this exact combination, all gaming performance figures discussed here are estimates derived from the benchmark scores, not direct measurements.

CPU Analysis

The Intel Core i9-14900 is a 24-core processor with 32 threads, combining 8 performance cores with 16 efficiency cores in a hybrid layout. Its base clock of 2.00 GHz is conservative, but the 5.80 GHz boost clock is among the highest available for a desktop part. The chip uses Intel’s Raptor Lake-R architecture on a 257 mm² die, fabricated on a 10 nm process. The cache hierarchy is substantial: 36 MB of shared L3 cache, 2 MB of L2 per core, and 80 KB of L1 per core. This large cache pool helps keep frequently accessed data close to the cores, reducing latency in multi-threaded workloads.

The Cinebench R23 multicore score of 31,070 places this CPU in the 92nd percentile among all CPUs, meaning it outperforms 92% of tested processors in the database. This is a strong result for heavily threaded tasks like 3D rendering, video encoding, and scientific computing. The single-core R23 score of 2,212 is more modest but still competitive for everyday responsiveness. The Cinebench R20 scores follow a similar pattern: 15,910 multicore and 2,245 single-core. The older R15 test yields 4,793 multicore and 315 single-core.

Geekbench results show 18,495 multicore and 2,488 single-core, confirming the CPU’s strength in both parallel and single-threaded scenarios. PassMark tests add more detail to the picture. The multithread score of 44,578 is excellent for productivity software that can use all available threads. Integer math scores 175,010, floating-point math 120,262, and extended instructions 30,624 — all strong numbers for number-crunching applications. Data compression scores 550,271, which is particularly useful for file archiving and backup workflows. Data encryption at 33,540 shows the CPU can handle secure communications without bogging down. The physics score of 2,486 and single-thread score of 4,323 round out the profile, with the latter being important for older or less-optimized software.

The nearest rivals provide context. The AMD Ryzen 7 9850X3D is 0.5% slower, the Intel Xeon w5-2545 is 0.7% slower, and the Intel Xeon Platinum 8260M is 0.4% slower. The AMD EPYC 9015 is 1% faster. These deltas are tiny, meaning the Core i9-14900 sits in a tightly contested performance band where small workload differences can flip the ranking. For real workloads, this translates to nearly identical performance to these rivals in mixed tasks, with the Core i9-14900 having the advantage of being a consumer desktop part with a 65 W TDP rather than a server or workstation chip.

Balance and Bottleneck

In this pairing, the CPU is clearly the dominant component. The i9-14900 sits at the 92nd percentile for CPUs, while the RTX 5000 Embedded Ada Generation X2 sits at the 50th percentile for GPUs. The combined percentile is 71, reflecting the gap between the two components. This imbalance means the GPU is likely to be the limiting factor in most graphics-bound scenarios, particularly at higher resolutions where pixel throughput matters more than CPU speed.

The CPU’s 24 cores and 32 threads can feed even demanding GPUs in most games, especially at 1080p where frame rates are often CPU-limited. However, the GPU’s 16 GB of VRAM and 576.0 GB/s bandwidth are sufficient for 1440p and 4K gaming, where the load shifts to the graphics card. In productivity tasks like 3D rendering or video editing, the CPU’s multicore performance (31,070 in Cinebench R23) will handle scene construction and encoding, while the GPU accelerates effects and final output.

The FPS scaling picture is not available because there is no measured FPS data for this exact combination. However, based on the benchmark scores, the CPU is unlikely to bottleneck the GPU at 1080p in most titles. At 4K, the GPU becomes the clear constraint, as its 50th percentile ranking suggests it is an average performer relative to all GPUs. For workloads like data compression (550,271 in PassMark) or encryption (33,540), the CPU is the workhorse, and the GPU plays little to no role. The takeaway is that this is a system where the CPU carries the heavy load in non-graphics tasks, while the GPU handles graphics at moderate settings and resolutions.

FAQ

Q: What is the Core i9-14900’s core and thread count?

A: The CPU has 24 cores and 32 threads, combining performance and efficiency cores in a hybrid design.

Q: How does the CPU compare to its nearest rivals?

A: The i9-14900 is 0.4% faster than the Intel Xeon Platinum 8260M, 0.5% faster than the AMD Ryzen 7 9850X3D, and 0.7% faster than the Intel Xeon w5-2545, while being 1% slower than the AMD EPYC 9015.

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

A: The RTX 5000 Embedded Ada Generation X2 has 16 GB of GDDR6 memory on a 256-bit bus.

Q: Is there measured FPS data for this CPU+GPU combination?

A: No, the FACT PACK contains no measured FPS rows for this exact pairing, so all gaming performance figures are estimates based on benchmark scores.

Q: What is the CPU’s percentile ranking?

A: The i9-14900 is in the 92nd percentile among all CPUs, indicating it outperforms 92% of tested processors.

Q: Does the CPU support ECC memory?

A: Yes, the i9-14900 supports ECC memory, alongside DDR4 and DDR5 memory types.

Q: What is the GPU’s architecture and process node?

A: The GPU uses the Ada Lovelace architecture on TSMC’s 5 nm process, with a die size of 379 mm².

Who Should Build It

This desktop build is best suited for users who prioritize CPU-heavy workloads over pure gaming performance. Content creators working with video editing, 3D modeling, or software compilation will benefit from the i9-14900’s 24 cores and strong Cinebench R23 multicore score of 31,070. The CPU’s 92nd percentile ranking means it can handle multi-threaded tasks that would bog down lesser processors. The GPU, while not top-tier, provides 16 GB of VRAM that is sufficient for 1440p gaming and moderate 3D rendering.

Developers and students working on code compilation, data analysis, or virtualization will find the 32 threads useful for parallel builds and running multiple VMs. The PassMark multithread score of 44,578 indicates solid performance in these scenarios. Small business workstations that run accounting software, database queries, or office productivity suites will see responsive performance from the single-thread score of 4,323, even if they never use the full multicore potential.

Gamers at 1080p will find this build capable, though the GPU’s 50th percentile ranking means frame rates will be average rather than exceptional. At 1440p, the system can handle most titles at high settings, but at 4K the GPU will struggle with demanding games. Users who need both high CPU throughput and modest GPU acceleration — such as simulation engineers or financial analysts — will find this pairing appropriate. The build is not ideal for hardcore gamers or GPU-accelerated machine learning workloads, where a stronger GPU would be necessary.

Usage Scenarios

High-refresh gaming at 1080p is feasible with this system. The CPU’s single-thread score of 4,323 in PassMark ensures low latency in game logic and physics, while the GPU can push moderate frame rates. However, the GPU’s average percentile ranking means that hitting 144 Hz in demanding titles will require lowered settings. At 1440p, the system is more balanced, with the CPU providing enough headroom and the GPU delivering playable performance at medium to high settings.

Streaming benefits from the CPU’s 24 cores, allowing simultaneous gameplay and encoding without significant frame rate drops. The Cinebench R23 multicore score of 31,070 indicates the CPU can handle both tasks concurrently. Video editing in software like Premiere Pro will see strong performance in timeline scrubbing and export, thanks to the multicore score and the GPU’s 16 GB VRAM for effects acceleration.

3D rendering in Blender or similar tools will be CPU-bound, and the 31,070 Cinebench R23 score means shorter render times compared to lesser processors. The GPU can accelerate viewport previews with its FP32 throughput of 32.69 TFLOPS. Software development benefits from fast compilation times — the integer math score of 175,010 in PassMark suggests quick build times for large codebases. Student and office work is trivial for this system, with the single-thread score providing snappy UI responsiveness and the multithread score handling background tasks like antivirus scans and cloud sync without perceptible slowdown.

Gaming Performance

No measured FPS data exists for the Intel Core i9-14900 and RTX 5000 Embedded Ada Generation X2 combination. The FACT PACK contains no measuredFpsUltraByGame entries, so all frame rate figures are estimates derived from the benchmark scores. The CPU’s 92nd percentile ranking and the GPU’s 50th percentile ranking suggest that gaming performance will be constrained by the graphics card in most scenarios.

At 1080p, the CPU is unlikely to bottleneck, and the GPU’s 32.69 TFLOPS FP32 throughput should deliver playable frame rates in esports titles and older games. Modern AAA games at ultra settings will likely see frame rates in the 60-80 FPS range, though this is speculative. At 1440p, the GPU’s 16 GB VRAM and 576.0 GB/s bandwidth will keep textures loaded, but the 50th percentile ranking indicates average performance relative to other GPUs, so 60 FPS at high settings is a reasonable estimate for well-optimized titles.

At 4K, the GPU becomes the clear bottleneck. The 188.2 GPixel/s pixel rate suggests the card can handle basic 4K output, but demanding games will require reduced settings to maintain playable frame rates. The 112 ROPs help with fill-rate-bound scenarios, but the overall GPU performance is not sufficient for high-refresh 4K gaming. For ray tracing, the 76 RT cores provide some acceleration, but the mid-range positioning of the GPU means ray-traced scenes will incur significant performance penalties. The DirectX 12 Ultimate support ensures compatibility with modern titles, but users should temper expectations for high-fidelity ray tracing at higher resolutions.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is built on the Ada Lovelace architecture, using the AD103 chip fabricated on TSMC’s 5 nm process. The chip contains 45,900 million transistors on a 379 mm² die, giving it a transistor density of 121.1M per mm². Clock speeds are modest for a workstation GPU: 930 MHz base and 1680 MHz boost, with memory running at 2250 MHz (18 Gbps effective). The 16 GB of GDDR6 memory sits on a 256-bit bus, providing 576.0 GB/s of bandwidth — adequate for 1440p gaming and moderate 3D rendering.

The GPU has 9,728 shading units, 304 TMUs, and 112 ROPs. This configuration yields a pixel rate of 188.2 GPixel/s and a texture rate of 510.7 GTexel/s. FP32 throughput is 32.69 TFLOPS, with FP16 at the same 32.69 TFLOPS (1:1 ratio). The 76 RT cores and 304 tensor cores provide hardware acceleration for ray tracing and AI workloads, respectively. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad API compatibility.

The 50th percentile ranking places this GPU in the middle of the database, meaning it outperforms half of all tested GPUs but trails the other half. This is a workstation-class part with a 150 W TDP and no power connectors (IGP slot width), suggesting it is designed for embedded or mobile-like applications rather than high-end desktop gaming. The PCIe 4.0 x16 interface is adequate for this performance level. For rendering workloads, the 16 GB VRAM is useful for larger scenes, but the bandwidth and compute throughput are not exceptional. The GPU’s benchmark array is empty, so its average score is 0, which means its performance is inferred from architecture specifications rather than direct testing.

Build Overview

This desktop build pairs a top-tier consumer CPU with a mid-range embedded GPU. The Intel Core i9-14900 is a 24-core, 32-thread processor that represents the high end of Intel’s 14th Gen desktop lineup, with a 92nd percentile CPU ranking. The NVIDIA RTX 5000 Embedded Ada Generation X2 is a 16 GB GPU with a 50th percentile ranking, making it an average performer in the database. The combined percentile for this pairing is 71, indicating that the system as a whole is above average but not exceptional.

The CPU is the standout component, with its high core count, 5.80 GHz boost clock, and strong Cinebench R23 multicore score of 31,070. The GPU is less impressive, with modest clock speeds and compute throughput that place it in the middle of the pack. This is a system built for CPU-intensive work — rendering, compilation, data analysis — with gaming and GPU-accelerated tasks as secondary considerations. The 65 W TDP of the CPU is remarkably low for a 24-core part, potentially allowing for quieter cooling solutions. The GPU’s 150 W TDP and lack of power connectors suggest it is intended for compact or embedded systems rather than sprawling gaming rigs.

Benchmark Performance

The CPU’s benchmark results are the headline of this build. Cinebench R23 scores of 31,070 multicore and 2,212 single-core put the i9-14900 in the 92nd percentile of all CPUs. The Cinebench R20 scores are 15,910 multicore and 2,245 single-core, while R15 yields 4,793 multicore and 315 single-core. Geekbench reports 18,495 multicore and 2,488 single-core. PassMark scores are extensive: multithread at 44,578, integer math at 175,010, floating-point math at 120,262, extended instructions at 30,624, data compression at 550,271, data encryption at 33,540, physics at 2,486, random string sorting at 61,060, and single-thread at 4,323.

The GPU has no benchmark scores in the FACT PACK, making its 50th percentile ranking an architectural assessment rather than a measured result. Its average benchmark score is 0, which skews the combined picture. The CPU’s average benchmark score is 58,115, which is the primary driver of the 71st combined percentile. The nearest CPU rivals are within 1% of its average score, indicating that the i9-14900 is at parity with several workstation and server chips.

The combined picture is one of imbalance: a near-top-tier CPU paired with a mid-tier GPU. For workloads that rely on the CPU — compiling, rendering, compressing, encrypting — this system will perform admirably, ranking in the top 8% of processors. For GPU-bound tasks like gaming at high resolutions or machine learning inference, the system will be held back by the GPU’s average performance. The lack of measured FPS data means that gaming estimates are speculative, but the benchmark scores suggest that the CPU will not be the limiting factor in most scenarios. Users should expect CPU-bound tasks to excel and GPU-bound tasks to be merely adequate.