SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI 5 435G + NVIDIA RTX 5000 Ada Generation

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

70 / 100
HIGH-END

Power Build

Top 30% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
41%
VS
GPU
99%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

AMD Ryzen AI 5 435G

0 Benchmark Score
Top 59% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 Benchmark Score
Top 1% 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

CPU 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 AI 5 435G paired with the NVIDIA RTX 5000 Ada Generation is a desktop build that combines a modern 6-core Zen 5 processor with a top-tier workstation GPU. The CPU sits at the 50th percentile among all processors, representing a solid mid-range option, while the GPU ranks in the 98th percentile, placing it firmly in the enthusiast and professional tier. This pairing yields a combined percentile of 74, indicating that while the CPU is adequate, the GPU is the dominant component driving the system's overall performance profile. The data shows a system designed for compute-heavy tasks where graphics and parallel processing power are paramount, rather than a balanced general-purpose machine.

CPU Analysis

The AMD Ryzen AI 5 435G is built on the Gorgon Point architecture, part of the Ryzen AI 400 generation that utilizes a hybrid of Zen 5 and Zen 5c cores. This is a 6-core, 12-thread processor manufactured on TSMC's 4 nm process, fabricated by TSMC. The base clock is 2.00 GHz, which can boost up to 4.50 GHz under load, providing a significant frequency range for both power efficiency and burst performance. The CPU is designed for the AMD Socket AM5 platform, supporting dual-channel DDR5 memory with ECC capability, which is a notable feature for workstation stability and data integrity. The memory bandwidth is rated at 89.6 GB/s, a figure that supports the CPU's ability to feed data to the powerful GPU in this build.

The cache hierarchy consists of 80 KB of L1 per core, 1 MB of L2 per core, and a total of 4 MB of L3 cache. While the L3 cache amount is modest compared to some high-end desktop processors, it is sufficient for the 6-core configuration. The CPU provides PCIe Gen 4 connectivity with 10 lanes available from the CPU itself, which is a limiting factor for certain high-bandwidth expansion cards, though the GPU in this system uses its own interface. The processor is multiplier-unlocked, allowing for overclocking, though the 65 W TDP suggests a moderate thermal envelope. The integrated graphics are a Radeon 840M, which is present but secondary to the discrete GPU in this build.

In terms of performance, the Ryzen AI 5 435G scores at the 50th percentile of all CPUs, placing it exactly in the middle of the pack. This means that for general computing tasks, it will perform adequately, but it is not a leader in multi-threaded throughput. The 6 cores and 12 threads are capable of handling modern workloads, but they will not match the core counts of higher-end Ryzen or Intel processors in heavily parallelized tasks. The data indicates that this CPU is a competent mid-range part, suitable for gaming and productivity, but it may present a bottleneck when paired with a GPU of the RTX 5000 Ada Generation's caliber in CPU-bound scenarios.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class graphics card based on the Ada Lovelace architecture, specifically using the AD102 chip. This is a massive chip, with 76,300 million transistors on a 609 mm² die, manufactured on a 5 nm process by TSMC. The GPU is equipped with 32 GB of GDDR6 memory on a 256-bit bus, providing a substantial 576.0 GB/s of memory bandwidth. This capacity is crucial for large datasets, high-resolution textures, and complex 3D scenes common in professional visualization and AI training workloads. The memory clock runs at 2250 MHz, with an effective data rate of 18 Gbps.

The core configuration is extensive, with 12,800 shading units, 400 texture mapping units, and 176 raster output units. The GPU also features 100 RT cores for ray tracing and 400 tensor cores for AI acceleration, making it a versatile tool for both rendering and machine learning. The base clock is 1155 MHz, with a boost clock of 2550 MHz. The compute capabilities are substantial: FP32 performance is rated at 65.28 TFLOPS, and FP16 performance is the same at 65.28 TFLOPS with a 1:1 ratio, indicating strong throughput for both single-precision and half-precision workloads. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s.

The RTX 5000 Ada Generation has a TDP of 250 W and requires a 600 W suggested power supply, using a single 16-pin power connector. It is a dual-slot card, measuring 267 mm in length and 112 mm in height, and connects via PCIe 4.0 x16. Display output is handled by 4x DisplayPort 1.4a ports. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad API compatibility for modern applications. In benchmark results, the GPU achieved a Geekbench OpenCL score of 175,286 and a Vulkan score of 194,041, with an average benchmark score of 184,664. This places the GPU in the 98th percentile of all GPUs, indicating it outperforms the vast majority of graphics cards on the market.

Benchmark Performance

The benchmark data for this build is heavily skewed by the GPU's exceptional performance. The RTX 5000 Ada Generation's average benchmark score of 184,664 places it at the 98th percentile, a remarkable position that indicates it is faster than 98% of all GPUs in the database. In comparison to its nearest rivals, the data shows it is 0.5% ahead of the NVIDIA A100 SXM4 80 GB, which has an average score of 183,725. It also outperforms the NVIDIA RTX PRO 5000 Blackwell by 1.4%, which scores 182,109, and is 3.7% ahead of the NVIDIA GeForce RTX 4090 D, which scores 178,050. However, it trails the NVIDIA A100 SXM4 40 GB by -1.3%, which scores 187,147. These deltas show that the RTX 5000 Ada Generation is positioned at the very top of the performance hierarchy, trading blows with the most powerful accelerators available.

The CPU, in contrast, has no benchmark scores listed in the data, but its percentile rank of 50 indicates it is an average performer. This stark contrast in percentile positions creates an unbalanced system where the GPU is the clear performance leader. For workloads that are GPU-bound, such as rendering, deep learning, and high-resolution video processing, the system will excel. However, for tasks that are CPU-bound, such as physics simulations, single-threaded code, or certain gaming scenarios, the CPU's mid-range standing will cap the system's overall performance. The combined picture is one of a workstation that prioritizes GPU compute power, with the CPU serving as a supporting role that is sufficient but not exceptional.

Usage Scenarios

High-Refresh Gaming: The RTX 5000 Ada Generation's 98th percentile ranking and 65.28 TFLOPS of FP32 performance suggest it can handle demanding games at high frame rates, but the CPU's 50th percentile ranking may limit performance in CPU-heavy titles. At high refresh rates, the system is likely to be GPU-bound, providing excellent frame times, but the 6-core processor could become a bottleneck in games that rely on strong single-thread performance, potentially preventing the GPU from reaching its full potential at 1080p or 1440p.

Streaming: The combination of the GPU's 400 tensor cores and the CPU's 12 threads provides a capable platform for streaming. The NVENC encoder on the RTX 5000 Ada Generation, while not explicitly listed, is a standard feature on NVIDIA GPUs, and the tensor cores can assist with AI-based encoding enhancements. The CPU's 12 threads are sufficient to handle streaming software and game encoding simultaneously, though the mid-range performance may require adjusting encoding settings to maintain smooth gameplay.

Video Editing: The 32 GB of VRAM and 576.0 GB/s of memory bandwidth on the GPU are ideal for video editing, allowing for smooth scrubbing and rendering of high-resolution timelines. The GPU's 98th percentile score indicates it can accelerate effects, color grading, and exports significantly. The CPU's 6 cores and 12 threads are adequate for the task, but they will not be the primary driver of performance; the GPU will handle most of the heavy lifting in modern editing software like Premiere Pro or DaVinci Resolve.

3D Rendering: This is where the build excels, as the RTX 5000 Ada Generation's 12,800 shading units and 100 RT cores provide exceptional performance for ray-traced and rasterized rendering. The 65.28 TFLOPS of FP32 compute power is directly applicable to 3D rendering workloads, and the 32 GB VRAM allows for complex scenes with large texture sets. The CPU's performance is less critical here, as rendering is predominantly GPU-bound, making this build a strong choice for professional 3D artists and animators.

Software Development: The CPU's 50th percentile ranking suggests it can handle typical development tasks like compiling code, running virtual machines, and managing containers, but it is not a high-end productivity chip. The 12 threads are useful for parallel builds, and the 4 MB of L3 cache is sufficient for most workloads. The GPU is largely unused in this scenario, so the system may feel over-specified for pure development work, but it provides headroom for tasks like building and testing GPU-accelerated applications.

Student and Office Work: For general productivity, office suites, web browsing, and light multitasking, this build is vastly over-powered. The CPU's performance is more than adequate for these tasks, and the GPU is idling most of the time. This configuration would be a poor investment for a student or office worker, as the performance and cost are not aligned with the workload requirements, but it will handle any such tasks with ease.

Gaming Performance

No measured FPS data exists for this exact combination of the AMD Ryzen AI 5 435G and NVIDIA RTX 5000 Ada Generation. The FACT PACK contains no measured FPS rows for this build, so all FPS figures discussed here are estimates based on the benchmark scores of the individual components. The GPU's 98th percentile ranking and the CPU's 50th percentile ranking provide a basis for these estimates. In GPU-bound scenarios, the RTX 5000 Ada Generation should deliver exceptional frame rates at 1440p and 4K resolutions, likely exceeding 100 FPS in most modern titles with ultra settings. At 1080p, the CPU may become the limiting factor, potentially causing frame rates to cap at a lower level in CPU-intensive games. The GPU's high memory bandwidth and 32 GB of VRAM ensure that even the most demanding textures and resolutions will not cause memory-related stuttering. For users seeking the highest possible FPS in competitive shooters, the CPU's mid-range performance may be a disappointment, but for immersive single-player experiences at high resolutions, the system is expected to perform exceptionally well.

Who Should Build It

This build is targeted at professionals and enthusiasts whose primary workloads are GPU-accelerated. Content creators working with 3D rendering, video editing, and visual effects will benefit enormously from the RTX 5000 Ada Generation's 32 GB of VRAM and 65.28 TFLOPS of compute power. Developers working on AI and machine learning models will appreciate the 400 tensor cores and the GPU's high percentile ranking, which ensures rapid training and inference times. Small business workstations that rely on GPU compute for tasks like architectural visualization, scientific simulations, or data analysis will find this build highly capable. Gamers who prioritize 4K resolution and maximum detail settings will also be well-served, provided they are not playing highly CPU-bound titles. However, students and general office users are not the target audience, as the GPU's capabilities far exceed their computing needs, and the CPU is not a top-tier performer that would justify the system's overall power.

Balance and Bottleneck

The performance balance in this build is heavily weighted towards the GPU, which acts as the dominant component in most workloads. The RTX 5000 Ada Generation's 98th percentile score dwarfs the CPU's 50th percentile, creating a significant bottleneck for CPU-bound tasks. In gaming, this bottleneck is most apparent at lower resolutions like 1080p, where the CPU is more likely to be the limiting factor. At higher resolutions like 4K, the GPU takes over as the primary bottleneck, which is the more desirable scenario for this system. In rendering and compute workloads, the GPU is almost always the limiting factor, which is ideal because it is the component with the highest performance. The data shows that the system is designed to maximize GPU throughput, and the CPU is sufficient to feed the GPU without causing major stalls, but it is not powerful enough to keep pace in every task. The FPS scaling is expected to be excellent at high resolutions, with diminishing returns at lower resolutions due to CPU limitations.

FAQ

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

A: The combined percentile for this CPU and GPU pairing is 74, indicating it outperforms 74% of all builds in the database.

Q: How does the GPU compare to the NVIDIA A100 SXM4 80 GB?

A: The RTX 5000 Ada Generation's average benchmark score of 184,664 is 0.5% higher than the NVIDIA A100 SXM4 80 GB's score of 183,725.

Q: What is the CPU's performance percentile relative to all CPUs?

A: The AMD Ryzen AI 5 435G has a percentile rank of 50, placing it exactly at the median of all CPUs in the database.

Q: How much memory bandwidth does the GPU have and what is its FP32 compute power?

A: The GPU has a memory bandwidth of 576.0 GB/s and a FP32 compute power of 65.28 TFLOPS.

Q: Is the CPU's integrated graphics sufficient for a build with a discrete GPU?

A: The CPU includes a Radeon 840M integrated GPU, but in this build, it is secondary to the discrete RTX 5000 Ada Generation, which provides significantly higher performance for all graphics tasks.

Q: What are the CPU's core and thread counts?

A: The AMD Ryzen AI 5 435G has 6 cores and 12 threads, with a base clock of 2.00 GHz and a boost clock of 4.50 GHz.

Q: What is the GPU's memory capacity and type?

A: The NVIDIA RTX 5000 Ada Generation is equipped with 32 GB of GDDR6 memory on a 256-bit bus.

Build Overview

This build pairs the AMD Ryzen AI 5 435G, a 6-core desktop processor on the AM5 socket, with the NVIDIA RTX 5000 Ada Generation, a workstation GPU based on the Ada Lovelace architecture. The build class is desktop, indicating it is intended for a stationary workstation or gaming tower. The overall tier, based on the combined percentile of 74, is solidly in the upper-midrange to high-end category. The CPU is a mid-range part, while the GPU is a top-tier accelerator, making this a system that is specialized for GPU-intensive tasks. The classification is a professional-grade workstation, as evidenced by the GPU's workstation generation and the CPU's support for ECC memory. This is not a balanced build, but rather one that prioritizes compute and graphics performance above all else, making it a powerful tool for creators, engineers, and scientists.