SYSTEM ANALYZER

Rate My PC: AMD Ryzen 9 9900X + 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

AMD Ryzen 9 9900X

57,498 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 AMD Ryzen 9 9900X and dual NVIDIA RTX 5000 Embedded Ada Generation GPUs form a desktop build that pairs a top-tier 12-core processor with a professional-grade, multi-GPU rendering setup. The CPU is the clear performance leader here, sitting in the 92nd percentile of all processors, while the GPU configuration is more specialized, landing in the 50th percentile. This is a workstation-oriented pairing where the processor handles the heavy lifting of computation and the dual GPUs focus on parallel rendering and compute tasks, rather than a conventional gaming rig.

CPU Analysis

The AMD Ryzen 9 9900X is built on the Zen 5 architecture (Granite Ridge) and manufactured on a 4nm TSMC process. It packs 12 cores and 24 threads, running at a base clock of 4.40 GHz and a boost clock of 5.60 GHz. The processor supports DDR5 memory via a dual-channel bus with a bandwidth of 89.6 GB/s and includes ECC memory support, which is a critical feature for workstations handling large datasets or long-running computations. It also provides Gen 5 PCIe with 24 lanes for the CPU, ensuring high-throughput connectivity for the dual GPUs and storage devices.

Benchmark scores reveal a processor that is exceptionally strong in both single-threaded and multi-threaded workloads. The Cinebench R23 multi-core score of 32,172 and single-core score of 2,253 place it firmly in the high-end desktop tier. The Geekbench results reinforce this, with a multi-core score of 22,174 and a single-core score of 3,010. The 3DMark thread scaling tests show a consistent progression from 1,286 (single-thread) to 12,552 (16-threads) and up to 13,929 (max-threads), indicating that the processor scales well with additional cores, though the gains begin to plateau after 16 threads. This suggests that for workloads using 16 threads or fewer, the 9900X delivers near-peak performance, and the additional cores provide a solid, if incremental, boost for fully parallel tasks.

The processor’s average benchmark score of 57,498 places it in the 92nd percentile of all CPUs, making it a high-end choice for any build. Its nearest rivals include the AMD EPYC 9015, which scores 57,555 (a -0.1% delta), and the Intel Core i9-14900, which scores 58,115 (a -1.1% delta). These comparisons show the 9900X is effectively tied with the EPYC 9015 and slightly behind the i9-14900 in aggregate performance. However, the 9900X’s advantage lies in its balance: it offers the multi-threaded muscle of a workstation chip with the high single-thread performance (PassMark single-thread score of 4,672) that is essential for responsive, lightly-threaded applications.

For real workloads, the data indicates that the 9900X is a formidable engine for code compilation, 3D rendering, and data analysis. The PassMark integer math score of 181,056 and floating-point math score of 120,083 highlight its capability in scientific computing and financial modeling. The data encryption score of 33,421 and compression score of 683,579 suggest it can handle secure file transfers and database operations with ease. The 64 MB of L3 cache and 1 MB per-core L2 cache provide ample fast memory for complex datasets, while the 4nm process keeps power efficiency reasonable for a 120W TDP part.

Benchmark Performance

The CPU’s aggregate performance is well-documented, but the GPU benchmarks are not, as there are no benchmark scores for the NVIDIA RTX 5000 Embedded Ada Generation X2 in the data. The GPU sits in the 50th percentile of all GPUs, with an average benchmark score of 0, indicating that its performance is unmeasured in this dataset. The combined percentile for the build is 71, driven almost entirely by the processor’s high standing.

Looking at the CPU’s benchmark suite, the data shows a processor that dominates in multi-threaded tasks. The Cinebench R23 multi-core score of 32,172 is a strong indicator of rendering capabilities, while the Geekbench multi-core score of 22,174 confirms its productivity lead. In the 3DMark tests, the 9900X achieves a max-threads score of 13,929, which is 10.9% higher than its 16-thread score of 12,552. This shows that while there is headroom beyond 16 threads, the performance scaling is not linear, and most applications will not see a massive benefit from the full 24 threads.

The single-thread scores are equally important. The 3DMark single-thread score of 1,286 and Cinebench R23 single-core score of 2,253 place it among the best for single-core performance, which is critical for gaming and legacy applications. The PassMark single-thread score of 4,672 reinforces this. This combination of high single-thread and multi-thread scores means the 9900X can handle any mixed workload without a significant bottleneck, whether it is a gamer streaming on one core or a developer compiling code across all cores.

The combined picture is one of a CPU-centric build. The processor is a top-tier performer, and the dual GPUs are specialized accelerators. The lack of GPU benchmark data means we cannot quantify their contribution, but the 50th percentile ranking suggests they are not the primary drivers of the build’s overall performance tier. The build’s 71st percentile ranking is respectable, but it is clear that the CPU is the star of the show, and the GPU configuration is present for specific professional tasks rather than general performance.

FAQ

Q: Is the AMD Ryzen 9 9900X a good processor for multi-threaded workloads?

A: Yes. It scores 32,172 in Cinebench R23 multi-core and 22,174 in Geekbench multi-core, placing it in the 92nd percentile of all CPUs, with a max-threads score of 13,929 in 3DMark.

Q: How does the Ryzen 9 9900X compare to its nearest rival, the Intel Core i9-14900?

A: The Ryzen 9 9900X has an average benchmark score of 57,498, which is 1.1% lower than the Intel Core i9-14900’s score of 58,115, making them effectively equivalent in aggregate performance.

Q: Does this build support ECC memory?

A: Yes, the AMD Ryzen 9 9900X supports ECC memory, which is a key feature for workstation builds requiring data integrity.

Q: What is the memory bandwidth of the Ryzen 9 9900X?

A: The processor supports dual-channel DDR5 memory with a bandwidth of 89.6 GB/s.

Q: What is the GPU configuration in this build?

A: The build uses two NVIDIA RTX 5000 Embedded Ada Generation GPUs, each with 16 GB of GDDR6 memory and a 256-bit bus, but there are no benchmark scores for this GPU model in the data.

Q: What is the process node for the CPU and GPU?

A: The AMD Ryzen 9 9900X is built on a 4nm TSMC process, while the NVIDIA RTX 5000 Embedded Ada Generation is built on a 5nm TSMC process.

Q: Does the CPU have integrated graphics?

A: Yes, the Ryzen 9 9900X includes Radeon Graphics, which provides a basic display output but is not intended for gaming.

Gaming Performance

There are no measured FPS rows for this exact combination in the data, so all gaming performance figures are estimates based on the benchmark scores. The CPU’s single-thread performance is excellent, with a 3DMark single-thread score of 1,286 and a PassMark single-thread score of 4,672, which is critical for framerate stability. The 12 cores and 24 threads ensure that background tasks like streaming or voice chat will not cause stutters.

The GPU side is more complex. The NVIDIA RTX 5000 Embedded Ada Generation has an FP32 performance of 32.69 TFLOPS and a pixel rate of 188.2 GPixel/s, which are strong numbers on paper. However, with two GPUs, the system will rely on SLI or driver-level multi-GPU support, which is inconsistent in modern games. For games that do not support multi-GPU, the performance will be limited to a single GPU’s capabilities. Given the lack of measured data and the 50th percentile ranking, the estimated gaming performance is likely to be moderate.

For titles that do scale with multiple GPUs, the combined compute power could be significant, but most modern games do not use dual-GPU setups effectively. The CPU’s high boost clock of 5.60 GHz and low memory latency (due to the large 64 MB L3 cache) suggest that at 1080p and 1440p, the processor will not be a bottleneck. However, the GPU’s 256-bit memory bus and 576.0 GB/s bandwidth are adequate for 1440p gaming, but the lack of benchmark data makes it impossible to provide specific FPS estimates. Users should expect this build to be CPU-bound in many gaming scenarios, with the GPUs acting as accelerators for non-gaming workloads.

Who Should Build It

This build is tailored for professionals who need a powerful CPU for compute-heavy tasks and require the parallel processing capabilities of dual professional GPUs. The Ryzen 9 9900X’s Cinebench R23 multi-core score of 32,172 makes it ideal for content creators working on video editing, 3D rendering, and animation. The PassMark integer math score of 181,056 and floating-point math score of 120,083 indicate strong performance for software developers compiling large codebases and engineers running simulations.

For data scientists and researchers, the CPU’s ECC memory support and 64 MB L3 cache are valuable for handling large datasets without corruption. The dual GPUs, each with 16 GB of VRAM, provide a total of 32 GB of memory, which is useful for machine learning inference or rendering scenes that exceed a single GPU’s memory capacity. Students in technical fields will benefit from the CPU’s speed for both coursework and personal projects, though the dual GPU setup may be overkill for their needs.

Small business workstations that need to handle complex financial modeling, CAD, or video production will find the 9900X’s performance compelling. The processor’s 92nd percentile ranking ensures it will not be a bottleneck for years, and the platform’s support for DDR5 and PCIe Gen 5 means it is future-proof for storage and peripheral upgrades. This is not a build for a casual user; it is a tool for those who demand maximum CPU throughput and have specific GPU-accelerated tasks that benefit from a multi-GPU configuration.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is a professional mobile-class GPU built on the Ada Lovelace architecture using a 5nm TSMC process. It features the AD103 chip with 45,900 million transistors and a die size of 379 mm². The GPU has 9,728 shading units, 304 TMUs, and 112 ROPs. It also includes 76 RT cores and 304 tensor cores, which provide hardware acceleration for ray tracing and AI workloads, respectively.

The memory configuration is substantial: 16 GB of GDDR6 on a 256-bit bus, delivering a bandwidth of 576.0 GB/s. This is a large memory pool that is well-suited for rendering high-resolution textures or training large neural networks. The memory clock is 2250 MHz (18 Gbps effective). The GPU’s base clock is 930 MHz with a boost clock of 1680 MHz. The FP32 performance is 32.69 TFLOPS, and the pixel rate is 188.2 GPixel/s, with a texture rate of 510.7 GTexel/s.

With two of these GPUs in the system, the total memory is 32 GB, which is a significant advantage for workloads that require large datasets. The tensor cores are particularly relevant for AI inference, and the RT cores support real-time ray tracing in supported applications. However, the GPU’s 50th percentile ranking is based on its position among all GPUs, though no benchmark scores exist in the data to validate this. The TDP is 150 W per GPU, and the bus interface is PCIe 4.0 x16.

The lack of benchmark data means the GPU’s performance is speculative. The specifications suggest it is a capable mid-range workstation GPU, but without scores, the analysis relies on the hardware features. The 5nm process and Ada Lovelace architecture are modern, and the 16 GB memory per GPU is generous. For rendering, the FP32 compute is adequate for real-time previews, and the tensor cores accelerate denoising and AI-based upscaling. The dual-GPU setup will require application support to leverage both cards effectively, which is common in professional rendering software but rare in consumer gaming.

Balance and Bottleneck

This build is heavily CPU-balanced, with the processor being the clear performance driver. The CPU’s 92nd percentile ranking is the primary contributor to the build’s overall 71st percentile. The GPU configuration, in the 50th percentile, is less distinguished. In most workloads, the CPU will be the component that determines the system’s responsiveness and throughput, especially in tasks that are not optimized for multi-GPU use.

For single-threaded tasks, the CPU’s boost clock of 5.60 GHz and single-thread PassMark score of 4,672 mean it will rarely be a bottleneck. The GPU, however, could be a limiting factor in gaming if a game does not support dual-GPU scaling. In that case, the system would rely on a single GPU’s 32.69 TFLOPS FP32 performance, which is competent but not high-end for gaming. The FPS scaling between a single and dual GPU setup is unpredictable without measured data, but it is safe to say that the CPU will not hold back the GPUs in most scenarios.

In multi-threaded compute workloads, the CPU’s scaling from 16 to 24 threads is modest, with a 10.9% increase in 3DMark scores. This indicates that the CPU does not fully utilize its 24 threads in all applications, but it still provides a strong foundation. The GPUs will likely be the bottleneck in rendering tasks, as the CPU can feed data to them faster than they can process it, given the CPU’s high memory bandwidth and PCIe Gen 5 lanes. The balance is skewed towards a CPU-driven system with GPUs as co-processors, which is typical for a workstation designed for hybrid workloads.

Build Overview

This is a desktop build that combines the AMD Ryzen 9 9900X with dual NVIDIA RTX 5000 Embedded Ada Generation GPUs. The processor is a high-end desktop part with 12 cores and 24 threads, built on the Zen 5 architecture, and it is positioned in the 92nd percentile of all CPUs. The GPU is a professional Ada Lovelace part with 16 GB of memory, but it sits in the 50th percentile, and no benchmark scores are available.

The overall build percentile is 71, which places it in the upper-midrange tier of all systems. This is a specialized configuration where the CPU’s performance is the main selling point, and the dual GPUs add value for specific parallel compute tasks. The pairing is not typical for gaming, as the GPU’s consumer performance is unmeasured and likely modest. Instead, it is a workstation tool that leverages the CPU’s massive compute power for tasks like software compilation, 3D rendering, and data processing, with the GPUs providing additional acceleration where supported. The build class is desktop, and it is best described as a high-performance CPU-centric workstation.

Usage Scenarios

High-refresh gaming: The CPU’s single-thread performance is excellent, with a PassMark single-thread score of 4,672 and a 3DMark single-thread score of 1,286, ensuring high framerates in CPU-bound titles. However, the dual GPU setup is not ideal for gaming, and the lack of measured FPS data means performance is uncertain. Expect the CPU to handle esports titles well, but the GPUs may limit performance in modern AAA games without multi-GPU support.

Streaming: The 24 threads of the 9900X provide ample headroom for encoding video while gaming, as the Cinebench R23 multi-core score of 32,172 ensures the CPU can handle both tasks without significant frame drops. The GPU’s tensor cores could also be used for AI-based encoding, but the lack of software support makes this uncertain.

Video editing: The CPU’s multi-core performance is a strong asset for timeline preview and rendering, with a Geekbench multi-core score of 22,174. The dual GPUs with 16 GB of memory each can accelerate effects and color grading, but the overall performance depends on software optimization for multi-GPU.

3D rendering: This is the build’s primary strength. The CPU’s Cinebench R23 multi-core score of 32,172 is excellent for CPU-based rendering, while the dual GPUs with 32.69 TFLOPS each can accelerate GPU-based renderers. The combined 32 GB of GPU memory is a major advantage for complex scenes.

Software development: The CPU’s PassMark integer math score of 181,056 and data encryption score of 33,421 indicate fast compilation and secure coding environments. The 64 MB L3 cache helps with large codebases. The GPUs are less relevant here, but the CPU’s 12 cores reduce build times significantly.

Student and office work: This build is overkill for standard office tasks, but the CPU’s PassMark single-thread score of 4,672 ensures a snappy experience in any application. The ECC memory support is a benefit for students in engineering or data science fields who need data integrity. The high cost is not justified for basic productivity, but the performance is unquestionable.