SYSTEM ANALYZER

Rate My PC: AMD Ryzen 3 5300G + NVIDIA GeForce RTX 5090

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
CPU Bottleneck
CPU
72%
VS
GPU
98%

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

PROCESSOR

AMD Ryzen 3 5300G

3,303 Benchmark Score
Top 28% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090

79,842 Benchmark Score
Top 2% 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 pairing of an AMD Ryzen 3 5300G with an NVIDIA GeForce RTX 5090 is a study in extremes—a low-power, entry-level quad-core processor from 2021 married to the most powerful consumer GPU currently available. The data shows a fundamental mismatch in raw compute capability, with the GPU’s average benchmark score dwarfing the CPU’s by a factor of over 24. This is not a balanced configuration; it is a GPU-centric build where the processor acts as a bottleneck in nearly every CPU-bound scenario, though the RTX 5090’s sheer throughput ensures that GPU-bound tasks will still complete at extraordinary speed. There are no measured FPS rows for this exact combination in the FACT PACK, so all FPS discussion below is estimated from the benchmark scores, not from direct testing.

Balance and Bottleneck

The foundational issue with this build is the disparity in performance percentiles. The Ryzen 3 5300G sits at the 54th percentile among all CPUs, placing it firmly in the middle of the pack—a capable entry-level chip, but nothing more. In contrast, the RTX 5090 rests at the 92nd percentile among all GPUs, indicating it outperforms the vast majority of graphics cards ever benchmarked. This 38-point gap in percentile ranking is the clearest evidence of a bottleneck: the CPU will consistently limit the system’s ability to feed the GPU enough data to reach its full potential in gaming and other latency-sensitive workloads.

Looking at the CPU’s benchmark scores, its multi-threaded performance is moderate at best. In Cinebench R23, it scores 11,060 points multi-core and 1,561 points single-core. These are respectable numbers for a 65W part, but they place it in direct competition with processors like the AMD Ryzen 5 PRO 2600 (avg score 3,303, 0% delta) and the Intel Core i5-11400T (avg score 3,309, -0.2% delta). The CPU’s average benchmark score of 3,303 puts it in the same class as these older or power-limited six-core parts, but the RTX 5090’s average score of 79,842 is in a completely different league, rivaling professional compute cards like the NVIDIA Tesla P100 PCIe 16 GB (avg 79,605, 0.3% delta). When the CPU is this close to mid-range rivals while the GPU is competing with data-center hardware, the bottleneck is unambiguous.

The bottleneck manifests differently across workload types. In GPU-bound scenarios—such as 4K gaming, ray tracing, or 3D rendering—the RTX 5090 will be the limiting factor, and the CPU’s slower clock speeds (4.00 GHz base, 4.20 GHz boost) will matter less because the GPU is doing the heavy lifting. However, in CPU-bound scenarios—such as 1080p gaming at high refresh rates, physics simulations, or compilation tasks—the Ryzen 3 5300G’s modest single-core score of 1,561 in Cinebench R23 will cap the frame rate, preventing the RTX 5090 from ever reaching its potential. The FPS scaling between resolutions would be severe: at 1080p, the CPU would dominate the frame time, while at 4K, the GPU would finally become the primary constraint, but even then, the CPU’s low thread count (4 cores, 8 threads) could cause stutters in games that spawn background threads for asset streaming or AI.

Benchmark Performance

The CPU’s benchmark results paint a picture of competent but unremarkable processing power. In Cinebench R15, it scores 1,114 multi-core and 157 single-core. In R20, those numbers rise to 4,645 multi-core and 655 single-core, and in R23, they reach 11,060 multi-core and 1,561 single-core. The Geekbench scores are similarly modest: 5,467 multi-core and 1,768 single-core. These figures place the CPU at the 54th percentile of all CPUs, with an average benchmark score of 3,303. Its nearest rivals are the AMD Ryzen 5 PRO 2600 (3,303, 0% delta), Intel Core i5-11400T (3,309, -0.2% delta), Intel Core i5-11500T (3,288, 0.5% delta), and Intel Xeon E-2374G (3,278, 0.8% delta). This indicates the 5300G is essentially a peer of previous-generation six-core parts, despite having only four physical cores.

The GPU’s benchmark scores are staggering by comparison. In 3DMark Steel Nomad DX12, it scores 18,355. Its Geekbench OpenCL score is 334,370, and its Vulkan score is 376,728. The Passmark suite shows a G3D score of 39,650, a GPU Compute score of 26,756, and older DirectX tests scoring 226 (DX10), 341 (DX11), 185 (DX12), and 395 (DX9). The average benchmark score is 79,842, placing it at the 92nd percentile of all GPUs. Its nearest rivals are the NVIDIA Tesla P100 PCIe 16 GB (79,605, 0.3% delta), Tesla P100 PCIe 12 GB (79,396, 0.6% delta), AMD Radeon RX 6850M XT (78,940, 1.1% delta), and AMD Radeon Pro Vega 64X (80,959, -1.4% delta). This shows the RTX 5090 is not just a gaming card; it is a compute monster that trades blows with professional accelerators.

The combined picture is a system with a combined percentile of 73. This number reflects the lower of the two components’ capabilities—the CPU holds the system back from the GPU’s 92nd percentile tier. A user would see exceptional GPU benchmark scores, but the overall system responsiveness in CPU-light tasks would feel like a mid-range machine from 2021, not a flagship 2025 build.

GPU Analysis

The NVIDIA GeForce RTX 5090 is built on the Blackwell 2.0 architecture with the GB202 chip, fabricated on TSMC’s 5 nm process. It packs 92,200 million transistors on a 750 mm² die, giving it a transistor density of 122.9M per mm². The GPU operates at a base clock of 2017 MHz and a boost clock of 2407 MHz, with memory clocked at 1750 MHz (28 Gbps effective). The memory subsystem is massive: 32 GB of GDDR7 on a 512-bit bus, delivering 1.79 TB/s of bandwidth. This is the defining feature of the card—the sheer memory capacity and bandwidth make it suitable for 8K texture packs, massive AI model inference, and professional visualization workloads that would exhaust lesser cards.

The compute resources are equally imposing. The card has 21,760 shading units, 680 texture mapping units, and 176 ROPs. It includes 170 RT cores and 680 tensor cores, providing hardware acceleration for ray tracing and AI-based technologies like DLSS. The pixel rate is 423.6 GPixel/s, and the texture rate is 1,636.8 GTexel/s. FP32 performance is rated at 104.8 TFLOPS, with FP16 also at 104.8 TFLOPS (1:1 ratio). These figures explain the benchmark scores: the 3DMark Steel Nomad score of 18,355 indicates strong DirectX 12 rasterization performance, while the Geekbench Vulkan score of 376,728 shows exceptional compute throughput under a modern graphics API. The Passmark G3D score of 39,650 confirms that this is a top-tier rendering card, though the older DirectX 9 (395) and DirectX 10 (226) scores are less relevant to modern workloads. The Passmark GPU Compute score of 26,756 highlights its non-graphics compute ability, making it a viable choice for CUDA-accelerated tasks.

For rendering, the RTX 5090’s 32 GB VRAM is the headline feature. It allows entire scenes to be loaded into GPU memory, eliminating the need for texture streaming in most professional 3D applications. The 1.79 TB/s bandwidth ensures that data moves quickly enough to keep the GPU’s 21,760 shading units fed, even at 4K or 8K resolutions. The 170 RT cores handle ray-traced lighting and reflections, while the 680 tensor cores accelerate denoising and AI upscaling. In practice, this GPU would dominate GPU-bound rendering tasks, but its performance in a full system is hamstrung by the CPU’s inability to prepare scenes quickly.

Who Should Build It

This build targets users who prioritize GPU compute above all else and have workloads that are almost entirely GPU-bound. The data shows the CPU is a weak link, so the target user must be someone who rarely stresses the CPU. Primary candidates are professionals running GPU-accelerated renderers, AI inference, or large-scale data visualization where the RTX 5090’s 32 GB VRAM and 104.8 TFLOPS FP32 throughput are essential. For these users, the Ryzen 3 5300G’s 54th percentile CPU performance is acceptable because the GPU is doing the heavy lifting.

Gamers at 4K or 8K would see the most benefit, as higher resolutions shift the bottleneck to the GPU. At 1080p or 1440p, the CPU’s single-core score of 1,561 in Cinebench R23 would limit frame rates, making this a poor choice for competitive high-refresh gaming. Content creators who work with video editing or 3D rendering would find the GPU’s 92nd percentile performance invaluable, but they would need to accept that timeline scrubbing or scene preparation will be slower than on a more balanced system.

Software developers and data scientists who use CUDA for model training or simulation would benefit from the GPU’s compute scores (Geekbench OpenCL 334,370), but they would face slower compilation times due to the CPU’s 4-core, 8-thread configuration. Students and small business workstations are not ideal targets—the system is overkill for office tasks, and the CPU would be the limiting factor in everyday multitasking. The build is best suited for a dedicated GPU compute node where the CPU merely orchestrates tasks, not a general-purpose desktop.

Usage Scenarios

High-Refresh Gaming: This is a poor fit. The CPU’s single-core score of 1,561 in Cinebench R23 will bottleneck frame rates at 1080p and 1440p, preventing the RTX 5090 from delivering its full potential. At 4K, the GPU becomes the limit, but the CPU’s low thread count may cause frame pacing issues in modern titles.

Streaming: The Ryzen 3 5300G lacks the multi-threaded headroom (4 cores, 8 threads; Cinebench R23 multi-core 11,060) to handle simultaneous game encoding and streaming. The GPU’s NVENC or tensor cores could offload encoding, but the overall system latency would be higher than with a more balanced CPU.

Video Editing: The GPU’s 32 GB VRAM and 1.79 TB/s bandwidth make it excellent for effects rendering and color grading, but the CPU’s modest Geekbench multi-core score of 5,467 would slow down codec encoding and timeline operations that rely on CPU processing.

3D Rendering: This is the sweet spot. GPU-based renderers will leverage the RTX 5090’s 104.8 TFLOPS FP32 and 170 RT cores, producing frames at speeds far exceeding the CPU’s 54th percentile performance. The CPU’s role is minimal, so the bottleneck is less impactful.

Software Development: Compilation tasks will be slow due to the CPU’s 4-core, 8-thread design and Cinebench R23 multi-core score of 11,060. However, GPU-accelerated testing or machine learning workloads will excel, making this viable for AI developers who prioritize GPU over CPU.

Student and Office Work: This is overkill and unbalanced. Office tasks use little GPU power, so the RTX 5090 sits idle while the CPU’s mid-range performance (54th percentile) handles everyday work. The system would be fast but wasteful, with the CPU’s 65W TDP being the only cost-saving feature.

FAQ

Q: Is the AMD Ryzen 3 5300G strong enough to drive the RTX 5090 in games?

A: No. The CPU’s single-core score of 1,561 in Cinebench R23 places it at the 54th percentile, which will bottleneck frame rates at lower resolutions. The GPU’s 92nd percentile performance is only fully realized in GPU-bound scenarios like 4K rendering.

Q: What is the RTX 5090’s memory capacity and bandwidth?

A: It has 32 GB of GDDR7 memory on a 512-bit bus, providing 1.79 TB/s of bandwidth. This is sufficient for 8K textures and large AI models.

Q: How does the Ryzen 3 5300G compare to its nearest rivals?

A: It scores an average of 3,303, matching the AMD Ryzen 5 PRO 2600 (0% delta), trailing the Intel Core i5-11400T by 0.2%, and leading the Intel Core i5-11500T by 0.5% and the Intel Xeon E-2374G by 0.8%.

Q: Does the RTX 5090 support ray tracing and AI acceleration?

A: Yes, it has 170 RT cores for ray tracing and 680 tensor cores for AI workloads, which is reflected in its Geekbench Vulkan score of 376,728.

Q: What is the system’s combined performance percentile?

A: The combined percentile is 73, which is lower than the GPU’s 92nd percentile due to the CPU’s 54th percentile dragging the overall score down.

Q: Is there measured FPS data for this CPU-GPU pair?

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

Q: What is the RTX 5090’s power requirement?

A: The GPU has a TDP of 575 W and the suggested PSU is 950 W. The CPU’s TDP is 65 W, so the total system power draw is dominated by the GPU.

Upgrade Path and Platform

The Ryzen 3 5300G uses the AMD Socket AM4 platform, which supports DDR4 memory in a dual-channel configuration with a memory bandwidth of 51.2 GB/s. The CPU provides PCIe Gen 3 with 16 lanes, which is a limitation—the RTX 5090 uses a PCIe 5.0 x16 interface. While the GPU will physically fit and operate in a PCIe 3.0 slot, the bandwidth reduction could slightly impact performance in data-intensive workloads, though the GPU’s 32 GB VRAM mitigates this by keeping data local. The CPU also has an unlocked multiplier, allowing overclocking, but its 4.20 GHz boost clock leaves little headroom.

The motherboard must support the GPU’s power draw (575 W TDP) and its 1x 16-pin power connector. The suggested PSU of 950 W indicates that a high-wattage power supply is mandatory. The GPU is dual-slot and measures 304 mm in length, 137 mm in height, and 40 mm in width, so case compatibility is a consideration. For upgrades, the most sensible path is to replace the CPU with a higher-core-count AM4 part, such as a 5000-series processor with more cores, to better balance the system. However, the platform’s DDR4 memory and PCIe Gen 3 will remain bottlenecks for the RTX 5090. A more radical upgrade would involve moving to a newer platform with PCIe Gen 5 and DDR5 support, but within the current AM4 socket, upgrading to an 8-core or 12-core CPU would be the first step to reduce the bottleneck.

Build Overview

This is a desktop build (buildClass is desktop) that pairs AMD’s Ryzen 3 5300G, a 4-core, 8-thread Zen 3 processor, with NVIDIA’s RTX 5090, a 21,760-shader Blackwell 2.0 flagship. The overall tier is defined by the combined percentile of 73, which sits well above the midpoint but far below the GPU’s individual 92nd percentile. The system is a GPU-first workstation where the CPU serves as a minimal orchestrator. Its performance is characterized by extreme asymmetry: the GPU delivers top-tier compute (average score 79,842) while the CPU delivers mid-range processing (average score 3,303). This pairing is not a conventional gaming rig or a balanced workstation; it is a specialized configuration for users who need maximum GPU throughput and are willing to accept CPU limitations. The lack of measured FPS data means the real-world gaming performance is uncertain, but the benchmark scores suggest that GPU-bound workloads will excel while CPU-bound tasks will lag.

CPU Analysis

The AMD Ryzen 3 5300G is a 4-core, 8-thread processor from the 5000 series, based on the Zen 3 architecture with the Cezanne codename. It is manufactured on TSMC’s 7 nm process, containing 10,700 million transistors on a 180 mm² die. The base clock is 4.00 GHz, boosting to 4.20 GHz, with a 65W TDP. The cache hierarchy includes 64 KB of L1 per core, 512 KB of L2 per core, and 8 MB of shared L3. It supports dual-channel DDR4 memory with 51.2 GB/s bandwidth and has an integrated Radeon Vega 6 GPU, though the discrete RTX 5090 makes the iGPU irrelevant. The CPU is unlocked, allowing overclocking, and uses AMD Socket AM4.

Benchmark results show the CPU’s position in the market. Its Cinebench R23 multi-core score of 11,060 and single-core score of 1,561 put it at the 54th percentile of all CPUs. The Geekbench scores (5,467 multi-core, 1,768 single-core) confirm this mid-range standing. The average benchmark score of 3,303 places it in direct competition with the AMD Ryzen 5 PRO 2600 (0% delta) and Intel Core i5-11400T (-0.2% delta), both of which are older or lower-power parts. For real workloads, the CPU is adequate for basic productivity, web browsing, and light multitasking, but it will struggle with heavy compilation, video encoding, or any task that scales beyond 8 threads. In a system with the RTX 5090, the CPU’s role is to feed the GPU with draw calls and physics data; its 4.20 GHz boost clock helps in lightly-threaded tasks, but the 8 MB L3 cache is small by modern standards, potentially causing cache misses in complex game worlds. The CPU is the clear limiting factor in this build, capping the system’s overall performance at the 73rd combined percentile rather than the GPU’s 92nd.