SYSTEM ANALYZER

Rate My PC: AMD Ryzen 3 5305GE + NVIDIA RTX 4000 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 3 5305GE

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

NVIDIA RTX 4000 Ada Generation

135,218 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

This build pairs AMD’s energy-efficient Ryzen 3 5305GE with NVIDIA’s RTX 4000 Ada Generation workstation GPU. The data shows a system with a clear split personality: a modest four-core CPU for everyday tasks, paired with a top-tier GPU that dominates professional rendering and creative workloads. Benchmark results indicate that this is not a balanced gaming rig, but rather a specialized tool for GPU-accelerated work where the CPU acts as a supporting player.

CPU Analysis

The AMD Ryzen 3 5305GE is a 4-core, 8-thread processor based on the Zen 3 architecture, specifically the Cezanne die. It operates at a base clock of 3.60 GHz and boosts up to 4.20 GHz. Built on TSMC’s 7 nm process, the chip contains 10,700 million transistors on a 180 mm² die. This is a low-power part, with a TDP of just 35 W, which is exceptionally low for a desktop CPU and hints at its intended use in compact or thermally constrained systems.

The cache hierarchy is straightforward: 64 KB of L1 per core, 512 KB of L2 per core, and a shared 8 MB of L3 cache. The memory controller supports dual-channel DDR4 with a theoretical bandwidth of 51.2 GB/s. The CPU provides 16 PCIe Gen 3 lanes, which is a limitation to note when pairing with a modern GPU that supports PCIe 4.0, though the practical impact on performance is often minimal for most workloads. It also includes integrated Radeon Vega 6 graphics, which is irrelevant for this build but useful for troubleshooting.

The CPU’s percentile versus all CPUs is 50, placing it exactly at the median. This is a solid, if unremarkable, score. The avgBenchmarkScore is 0, which means no specific CPU benchmark data is available in the pack, so we rely on the percentile and architectural details. The Ryzen 3 5305GE is not a high-core-count monster; it’s a 4-core part designed for efficient, everyday computing. For real workloads, this means it will handle office productivity, web browsing, and light coding without breaking a sweat, but it will be the limiting factor in heavily multi-threaded tasks like video rendering or software compilation, where a higher-core-count CPU would excel. The Zen 3 architecture provides strong single-thread performance, so the 4.20 GHz boost clock will keep the system responsive for interactive tasks.

Benchmark Performance

The GPU is where this build’s performance story lives. The NVIDIA RTX 4000 Ada Generation scores 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan. These are exceptional numbers, placing the GPU in the 95th percentile versus all GPUs. The average benchmark score across these two tests is 135,218, which is a strong aggregate figure.

Comparing to its nearest rivals, the RTX 4000 Ada is essentially neck-and-neck with the NVIDIA A10M, which has an average score of 135,230, showing a deltaPct of 0. It is also nearly identical to the AMD Radeon PRO W6800 (135,396, -0.1% delta) and slightly ahead of the AMD Radeon Pro W6800X Duo (135,774, -0.4% delta) and the AMD Radeon PRO V620 (136,472, -0.9% delta). This means the RTX 4000 Ada is performance-competitive with the top workstation cards from the previous generation, but it does not have a significant lead over them; the differences are within a single percentage point. The combined percentile for this specific CPU-GPU pair is 73, which is lower than the GPU’s individual 95th percentile, indicating that the CPU is dragging down the overall system score.

The combined picture is clear: the GPU is the star, offering top-tier compute performance for its class, while the CPU is a modest workhorse. The benchmark scores suggest that this system is optimized for GPU-bound tasks such as 3D rendering, machine learning inference, and high-resolution video processing, rather than for CPU-bound workloads like physics simulations or complex data analysis.

Gaming Performance

No measured FPS data exists for this exact combination of Ryzen 3 5305GE and RTX 4000 Ada Generation. The FACT PACK contains no measuredFps rows, so all frame rate discussions must be framed as estimates derived from the benchmark scores. The GPU’s 95th percentile and strong OpenCL/Vulkan scores indicate it can handle modern games, but the CPU’s 50th percentile and 4-core/8-thread configuration will be a bottleneck in many titles.

For gaming, the RTX 4000 Ada is a workstation card, not a consumer GeForce RTX card, but its architecture is the same Ada Lovelace as the GeForce 40-series. With 26.73 TFLOPS of FP32 performance and 48 RT cores, it will deliver high frame rates at 1440p and often at 4K. However, the CPU’s limited core count will likely cap performance in CPU-intensive scenes, such as large open-world games or strategy titles. The 4.20 GHz boost clock helps, but the lack of more cores means that frame pacing may be inconsistent in titles that use more than 8 threads. Estimated performance at 1080p and 1440p would be very high, but at 4K, the GPU may still be the primary driver, though the CPU could still cause stutters in certain scenarios. The lack of measured data means these are educated guesses, but the hardware profile strongly indicates a capable gaming GPU held back by a modest CPU.

Balance and Bottleneck

The data clearly shows a system bottlenecked by the CPU. The GPU sits in the 95th percentile, while the CPU is at the 50th percentile. This 45-point gap is the primary source of imbalance. The GPU’s average benchmark score of 135,218 is near the top of its class, but the CPU’s performance is average. In gaming, this means the CPU will often be the limiting factor, especially at lower resolutions where the GPU has less work to do. The combined percentile of 73 is a weighted average that reflects this drag.

The FPS scaling evidence is absent, but the percentile data is sufficient. For GPU-bound workloads like rendering, the CPU is less of an issue; the GPU will be working at high utilization. For CPU-bound tasks, the GPU will be idle, wasting its potential. The TDP difference is stark: the CPU draws 35 W, while the GPU draws 130 W, indicating where the power and heat budget is allocated. This is a system that rewards GPU-heavy workloads and punishes CPU-heavy ones. A builder should know that upgrading the CPU would produce a more balanced system, but the current configuration is ideal for those who spend most of their time in GPU-accelerated applications.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a professional workstation GPU built on the Ada Lovelace architecture and the AD104 chip. It is fabricated on a 5 nm process at TSMC, containing 35,800 million transistors on a 294 mm² die. This results in a transistor density of 121.8 million per mm². The GPU has a base clock of 1500 MHz and a boost clock of 2175 MHz, with memory running at 2250 MHz (18 Gbps effective).

The memory subsystem is substantial: 20 GB of GDDR6 on a 160-bit bus, providing a bandwidth of 360.0 GB/s. This VRAM capacity is crucial for large datasets, high-resolution textures, and complex 3D scenes that exceed the memory of consumer cards. The GPU has 6144 shading units, 192 texture mapping units (TMUs), and 64 render output units (ROPs). For ray tracing, it includes 48 RT cores, and for AI acceleration, 192 tensor cores. The pixel rate is 139.2 GPixel/s, and the texture rate is 417.6 GTexel/s.

Compute performance is rated at 26.73 TFLOPS for both FP32 and FP16, with a 1:1 ratio, which is beneficial for workloads that can use mixed precision. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. It has a TDP of 130 W and requires a 1x 16-pin power connector, with a suggested PSU of 300 W. It is a single-slot card, 245 mm in length and 112 mm in height, with four DisplayPort 1.4a outputs. The benchmark scores show it performs nearly identically to the NVIDIA A10M (0% delta) and slightly better than the AMD Radeon PRO W6800 (-0.1% delta). For rendering, these scores indicate excellent performance in GPU-accelerated engines like Blender, Octane, and V-Ray, where the 20 GB VRAM and high TFLOPS are most valuable.

Who Should Build It

This build is not for the average gamer. It is for professionals and specific power users who need workstation-grade GPU performance without a high-core-count CPU.

Target users include 3D artists and animators who will see massive gains in rendering times with the RTX 4000 Ada’s 26.73 TFLOPS and 20 GB VRAM. Video editors working with 4K or 8K timelines will benefit from the GPU’s hardware encoders and high memory bandwidth. Machine learning developers will appreciate the 192 tensor cores for inference tasks. Software developers who primarily compile code and run virtual machines, but also need GPU acceleration for testing, will find the CPU sufficient for basic coding tasks.

Students in engineering or design programs can use this for CAD, simulation, and rendering assignments, though the CPU may be limiting in complex multi-body simulations. Small businesses that rely on GPU-accelerated applications, such as architectural visualization or data analysis with CUDA, will find this a capable workstation. The low 35 W CPU TDP makes this a good candidate for quiet, compact office builds where the GPU’s 130 W is the primary power draw. However, anyone considering this for high-refresh esports gaming should look elsewhere, as the CPU will hold back the GPU.

Upgrade Path and Platform

The CPU uses the AMD Socket AM4, which has a long upgrade history. The Ryzen 3 5305GE is a 5000-series part, so it is compatible with most AM4 motherboards that have a BIOS update for Zen 3. The memory support is dual-channel DDR4, and the CPU provides PCIe Gen 3 lanes, while the GPU uses PCIe 4.0 x16. The GPU will run in the PCIe 4.0 slot, but the CPU’s PCIe 3.0 lanes may limit bandwidth in extreme cases, though this is rarely a practical bottleneck.

The TDP of the CPU is 35 W, and the GPU is 130 W, with a suggested PSU of 300 W. This leaves very little headroom for overclocking or adding more components. The CPU has an unlocked multiplier, so overclocking is possible, but the low TDP and likely compact cooling solution limit the gains. The GPU has a single 16-pin power connector, which is standard for modern cards.

The most sensible next upgrade is to replace the CPU with a higher-core-count AM4 part, such as a Ryzen 7 or Ryzen 9, to better match the GPU’s performance. This would keep the same motherboard and RAM, providing a significant boost to multi-threaded workloads. The GPU is already at the top of its class, so upgrading it further would be unnecessary. Memory could be increased to 32 GB or 64 GB if the workload demands it, but the 51.2 GB/s bandwidth is a system limit. The platform is mature, so there is no path to newer CPUs on AM4, but the existing options are strong and affordable.

FAQ

Q: What is the CPU’s TDP, and what does it mean for cooling?

A: The CPU has a TDP of 35 W, which is very low. This means a stock or low-profile air cooler is sufficient, and the system can run quietly. The GPU has a TDP of 130 W, so the overall system heat output is modest.

Q: How much VRAM does the GPU have, and why is it important?

A: The RTX 4000 Ada Generation has 20 GB of GDDR6 memory. This is important for loading large 3D scenes, high-resolution textures, and large datasets in machine learning without running out of memory.

Q: Is this build good for 4K gaming?

A: The GPU is powerful enough for 4K gaming, given its high benchmark scores and 20 GB VRAM. However, the CPU’s 50th percentile performance and 4-core/8-thread design will likely cause bottlenecks in CPU-intensive games, leading to frame drops. Performance is estimated, as no measured FPS data exists.

Q: What is the combined performance percentile of this CPU-GPU pair?

A: The combined percentile is 73. This is significantly lower than the GPU’s individual 95th percentile, indicating the CPU is the limiting factor in overall system performance.

Q: Does the CPU support ECC memory?

A: No, the Ryzen 3 5305GE does not support ECC memory. It supports dual-channel DDR4 memory with a bandwidth of 51.2 GB/s.

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

A: The GPU has 48 dedicated RT cores, which provide hardware-accelerated ray tracing. Its Geekbench Vulkan score of 123,842 suggests strong performance in Vulkan-based ray tracing workloads.

Q: What power supply is suggested for this build?

A: The suggested PSU for the GPU is 300 W. This is sufficient for the GPU and CPU combined, but it leaves little headroom for additional components or overclocking.

Usage Scenarios

High-refresh gaming: This is not the intended use case. The GPU is capable of high frame rates, but the CPU’s 4 cores and 8 threads will likely cap performance in many titles, preventing the system from reaching the 144Hz or 240Hz marks at 1080p. Estimated performance is good, but not optimal.

Streaming: The GPU’s NVENC encoder (implied by the Ada Lovelace architecture) can handle encoding, but the CPU may struggle to run a game and encode simultaneously. The 4-core/8-thread CPU is a weak point for simultaneous tasks, so streaming while gaming may result in dropped frames.

Video editing: This is a strong scenario. The RTX 4000 Ada’s 20 GB VRAM and high compute performance (26.73 TFLOPS) will accelerate timeline playback, effects, and exports in software that uses GPU acceleration. The CPU is sufficient for the editing interface, but multi-core rendering of complex projects will be slower.

3D rendering: This is the best use case. The GPU’s 95th percentile performance and 48 RT cores will provide fast rendering in engines like Blender and V-Ray. The 20 GB VRAM allows for large, complex scenes. The CPU is a minor bottleneck only in scene preparation, not in the render itself.

Software development: The CPU’s 4 cores are adequate for code editing, compiling small projects, and running virtual machines. The GPU is useful for CUDA-based development and testing. However, large compilation workloads will be slow due to the CPU’s limited core count.

Student and office work: The 35 W CPU makes this an efficient, quiet machine for word processing, spreadsheet work, web browsing, and programming assignments. The GPU is overkill for these tasks, but it ensures the system will not be obsolete for years. The low power draw is a benefit for daily use.