SYSTEM ANALYZER

Rate My PC: AMD Ryzen 3 5300G + NVIDIA RTX 5000 Ada Generation

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

86 / 100
HIGH-END

Power Build

Top 14% 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
99%

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 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

Balance and Bottleneck

The pairing of an AMD Ryzen 3 5300G with an NVIDIA RTX 5000 Ada Generation creates a striking imbalance that defines the character of this build. The CPU sits at the 54th percentile among all processors, a squarely mid-pack position, while the GPU commands the 98th percentile, placing it among the top 2% of all graphics cards. This is not a balanced pairing in any conventional sense; it is a configuration where the graphics card dramatically outclasses the processor, and the data makes that asymmetry explicit.

The bottleneck is unequivocally the CPU in nearly every workload that engages both components. The Ryzen 3 5300G, with its 4 cores and 8 threads, produces a Cinebench R23 multi-core score of 11,060, which is respectable for a mainstream desktop chip but pales in comparison to the compute capability of the RTX 5000 Ada Generation. The GPU's raw FP32 throughput of 65.28 TFLOPS represents a level of compute that a quad-core Zen 3 chip simply cannot feed in gaming or real-time rendering scenarios. The CPU's Geekbench multi-core score of 5,467 reinforces this picture — it is a competent entry-level processor, but it lacks the thread count and bandwidth to keep pace with a workstation-class GPU.

However, the bottleneck direction shifts depending on the workload. In pure GPU-compute tasks such as 3D rendering, machine learning inference, or video encoding, the RTX 5000 Ada Generation will operate at near full utilization, and the CPU's role is diminished. The GPU's 32 GB of GDDR6 memory with 576.0 GB/s of bandwidth means it can process massive datasets without relying heavily on the CPU. In these scenarios, the Ryzen 3 5300G is less of a bottleneck and more of a bystander, simply issuing commands while the GPU crunches numbers. But in gaming, the dynamic reverses; frame rates are often dictated by the CPU's ability to prepare frames for the GPU, and a 4-core/8-thread part at a 54th percentile standing will limit the RTX 5000 Ada Generation well below its potential. The data shows a 76th combined percentile for the build, which is lower than the GPU's standalone 98th percentile — that gap is the bottleneck quantified.

The FPS scaling evidence is absent from the dataset, as no measured frames exist for this combination. Yet the benchmark scores imply that the CPU will constrain the GPU in latency-sensitive tasks. The Ryzen 3 5300G's single-core Cinebench R23 score of 1,561 is not weak, but it is not exceptional either, and modern game engines increasingly demand more than four physical cores. The GPU's pixel rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s suggest it can push enormous frame counts, but the CPU's 51.2 GB/s memory bandwidth and PCIe Gen 3 interface (16 lanes from the CPU) add further constraints. The PCIe 3.0 link, in particular, may throttle the GPU in data-heavy workloads, though the impact is typically modest in gaming. The overarching conclusion is clear: this is a GPU-limited build in compute tasks and a CPU-limited build in interactive tasks, with the latter being more problematic for the user experience.

Benchmark Performance

The CPU's benchmark scores paint a picture of a capable but unremarkable entry-level processor. In Cinebench R15, it scores 1,114 multi-core and 157 single-core. Moving to Cinebench R20, the scores are 4,645 multi-core and 655 single-core. The Cinebench R23 results show 11,060 multi-core and 1,561 single-core. Geekbench testing yields 5,467 multi-core and 1,768 single-core. The average benchmark score for the CPU is 3,303, placing it at the 54th percentile of all CPUs. Its nearest rivals are remarkably close: the AMD Ryzen 5 PRO 2600 matches its average score exactly at 3,303, the Intel Core i5-11400T is 0.2% behind at 3,309, the Intel Core i5-11500T is 0.5% ahead at 3,288, and the Intel Xeon E-2374G is 0.8% ahead at 3,278. These minuscule deltas indicate that the Ryzen 3 5300G is essentially interchangeable with these parts in multi-threaded workloads, despite being a newer architecture.

The GPU, in stark contrast, is a compute monster. Its Geekbench OpenCL score is 175,286, and its Vulkan score is 194,041. The average benchmark score of 184,664 places it at the 98th percentile of all GPUs. Its nearest rivals are all high-end data center or flagship consumer parts: the NVIDIA A100 SXM4 80 GB is 0.5% behind at 183,725, the A100 SXM4 40 GB is 1.3% ahead at 187,147, the RTX PRO 5000 Blackwell is 1.4% behind at 182,109, and the GeForce RTX 4090 D is 3.7% behind at 178,050. This places the RTX 5000 Ada Generation in the same performance tier as NVIDIA's most powerful accelerators, which is remarkable for a workstation card. The GPU's dominance in raw compute is not subtle; it outperforms the RTX 4090 D by nearly 4% in these aggregate benchmarks, and it trades blows with the A100 series, which are designed for data centers.

The combined picture is one of extreme asymmetry. The CPU's 54th percentile is balanced by the GPU's 98th percentile, yielding a combined percentile of 76. This suggests that in mixed workloads, the build performs at roughly three-quarters of the theoretical maximum, dragged down significantly by the processor. The data implies that the CPU is the weakest link, and any upgrade to a higher-core-count Ryzen or Intel part would immediately boost the overall system performance. However, there is an argument that the CPU is sufficient for the GPU's primary use case — professional rendering and compute — where the GPU does the heavy lifting and the CPU merely orchestrates. In those scenarios, the 54th percentile CPU may not be a practical bottleneck, even if it is a theoretical one.

Upgrade Path and Platform

The platform is built around AMD's Socket AM4, which is a mature and well-supported ecosystem. The Ryzen 3 5300G uses the Zen 3 architecture (codename Cezanne) on a 7 nm process from TSMC, featuring 10,700 million transistors on a 180 mm² die. It supports DDR4 memory in a dual-channel configuration with a theoretical bandwidth of 51.2 GB/s, and it does not support ECC memory. The CPU provides 16 PCIe Gen 3 lanes, which is a limitation for the RTX 5000 Ada Generation; the GPU supports PCIe 4.0 x16, and running it on Gen 3 may reduce bandwidth in certain workloads. The CPU also includes integrated Radeon Vega 6 graphics, which is useful for troubleshooting or basic display output but irrelevant for gaming given the discrete GPU.

The RTX 5000 Ada Generation has a TDP of 250 W, and the suggested PSU is 600 W. The CPU has a TDP of 65 W, so the combined system draw is well within the 600 W recommendation, leaving ample headroom for drives, fans, and other peripherals. The GPU requires a single 16-pin power connector and occupies a dual-slot form factor, measuring 267 mm in length and 112 mm in height. The power supply headroom is generous; a 600 W unit is sufficient, and users who plan to upgrade the CPU to a higher-TDP part (such as a 105 W or 125 W Ryzen) would still have headroom without replacing the PSU. The memory support is DDR4, which is older but still widely available and affordable in capacity; however, the lack of ECC support may be a consideration for professional users who require error correction in long compute jobs.

A sensible next upgrade would be to replace the CPU with a higher-core-count Zen 3 or Zen 4 part on the AM4 socket (if available) to reduce the bottleneck. The data shows that the CPU is the limiting factor, and upgrading to a part with more cores and threads would improve multi-threaded performance significantly. However, the motherboard must support the new CPU's power requirements, and the PCIe Gen 3 limitation remains. Alternatively, users could consider moving to a newer platform with PCIe Gen 5 and DDR5, but that would require a new motherboard and memory, increasing cost. For the GPU, there is no practical upgrade path within the same generation; the RTX 5000 Ada Generation is already at the 98th percentile, and the only step up would be to a data center part like the A100, which is not designed for desktop use. The platform is solid, but the CPU is the clear upgrade target.

Gaming Performance

The FACT PACK contains no measured FPS data for this combination; there are no rows in the measuredFpsUltraByGame field. Therefore, all frame rate figures discussed here are estimates derived from the benchmark scores and should be treated as approximations, not measured results. The data is not measured, and the absence of concrete FPS numbers means the analysis must rely on the relative performance of the CPU and GPU.

The RTX 5000 Ada Generation is a workstation card, not a gaming GPU, but its raw specs suggest it would be exceptionally fast in games at 4K resolution. The GPU's 32 GB of GDDR6 memory and 576.0 GB/s bandwidth are more than sufficient for any modern game at maximum settings, and its 65.28 TFLOPS of FP32 compute ensures high frame rates in titles that use traditional rasterization. At 4K, the GPU would likely be the primary driver of performance, and the CPU bottleneck would be less pronounced because the GPU is working harder per frame. However, at 1080p or 1440p, the CPU's 54th percentile standing would likely limit frame rates, as the Ryzen 3 5300G's four cores may struggle to keep up with the GPU's frame output. The CPU's single-core performance (1,561 in Cinebench R23) is adequate but not exceptional, and games that rely heavily on single-thread performance could see inconsistent frame pacing.

The GPU's pixel rate of 448.8 GPixel/s suggests it can fill frames at a very high rate, but the CPU must issue draw calls and manage game logic. In esports titles or older games with lower CPU demands, the RTX 5000 Ada Generation would likely produce frame rates well above 144 Hz at 1080p, making it suitable for high-refresh monitors. In AAA titles at 4K with ultra settings, the GPU would be the limiting factor in terms of raw rasterization, and the CPU would be less of a concern. The lack of measured FPS data is a significant gap, but the benchmark scores imply that this build is capable of 4K gaming, albeit with the caveat that the CPU may cause stutters in CPU-intensive scenes. Users seeking a dedicated gaming rig would be better served by a more balanced pairing, but for those who need workstation performance and game occasionally, this build would deliver playable frame rates at high resolutions.

Who Should Build It

This build is not for the typical gamer; it is a workstation configuration that happens to include gaming capability. The target user is a professional who needs the RTX 5000 Ada Generation's compute power for rendering, simulation, or AI workloads, and who does not prioritize gaming performance. The GPU's 98th percentile ranking and 32 GB of VRAM make it ideal for 3D artists rendering complex scenes, video editors working with high-resolution footage, and researchers running machine learning models. The CPU's 54th percentile is sufficient for these tasks because the GPU does the heavy lifting, but the low core count may slow down CPU-bound tasks like asset compilation or physics simulations.

Content creators who work with Adobe Premiere Pro or DaVinci Resolve would benefit from the GPU's encoding and decoding capabilities, though the lack of measured FPS data means specific performance numbers are unavailable. Developers compiling large codebases would find the CPU limiting; the Cinebench R23 multi-core score of 11,060 is modest, and a 4-core part will take longer to compile than a 12-core or 16-core alternative. Students and small business workstations would find this build overkill for their needs; the GPU's compute power is wasted on spreadsheets and web browsing, and the cost is not justified. However, for a small business that needs to run CUDA-accelerated applications, the RTX 5000 Ada Generation provides a significant advantage, and the CPU is adequate for office tasks. The build is best suited for professionals who need workstation-class graphics and are willing to accept a mid-range CPU, with the understanding that the CPU may need upgrading in the future.

FAQ

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

A: The combined percentile is 76, which reflects the CPU's 54th percentile and the GPU's 98th percentile.

Q: Does the CPU support ECC memory?

A: No, the Ryzen 3 5300G does not support ECC memory, which may be a consideration for professional users.

Q: What is the GPU's memory bandwidth?

A: The RTX 5000 Ada Generation has a memory bandwidth of 576.0 GB/s, with 32 GB of GDDR6 memory on a 256-bit bus.

Q: What is the CPU's average benchmark score compared to its nearest rival?

A: The CPU's average benchmark score is 3,303, which exactly matches the AMD Ryzen 5 PRO 2600, and it is within 0.8% of the Intel Xeon E-2374G.

Q: What is the suggested power supply wattage for this GPU?

A: The suggested PSU for the RTX 5000 Ada Generation is 600 W, while the CPU has a TDP of 65 W.

Q: Are there measured FPS figures for this build?

A: No, the FACT PACK contains no measured FPS data for this exact combination, so all frame rate discussions are estimates.

Q: What PCIe version does the CPU support?

A: The CPU supports PCIe Gen 3 with 16 lanes, while the GPU supports PCIe 4.0 x16, which may result in reduced bandwidth.

CPU Analysis

The AMD Ryzen 3 5300G is a 4-core, 8-thread processor based on the Zen 3 architecture, codenamed Cezanne, built on TSMC's 7 nm process. It has a base clock of 4.00 GHz and a boost clock of 4.20 GHz, with a TDP of 65 W. The CPU features a 64 KB L1 cache per core, 512 KB L2 cache per core, and 8 MB of L3 cache. It supports DDR4 memory in dual-channel mode with a bandwidth of 51.2 GB/s, and it does not support ECC. The CPU is unlocked, allowing overclocking, and it includes integrated Radeon Vega 6 graphics, though this is not useful for gaming given the discrete GPU.

The benchmark scores indicate that the CPU is a solid entry-level part. The Cinebench R23 multi-core score of 11,060 is competitive with other mid-range parts, but the 54th percentile standing shows that it is average. The nearest rivals are all within 0.8% of its average score, suggesting that there is little differentiation among these mid-range CPUs. The single-core performance, with a Cinebench R23 score of 1,561, is adequate for everyday tasks and light gaming, but it is not a high-end part. The Geekbench multi-core score of 5,467 reinforces the mid-pack positioning. In real workloads, the CPU will handle office productivity, web browsing, and light multitasking with ease, but it will struggle with heavy multi-threaded workloads like video rendering or software compilation. The 4-core/8-thread configuration is becoming outdated for modern applications, which increasingly favor higher core counts. For a workstation build, the CPU is the weak link, and users should plan for an upgrade if their workloads are CPU-intensive.

Build Overview

This is a desktop build that pairs a mid-range CPU with a top-tier workstation GPU. The AMD Ryzen 3 5300G is a 5000-series part with 4 cores and 8 threads, while the NVIDIA RTX 5000 Ada Generation is a workstation-class GPU with 32 GB of memory and a 98th percentile ranking. The build's combined percentile is 76, indicating that it performs well overall but is held back by the CPU. The CPU and GPU are from different performance tiers, with the GPU being in the top 2% of all graphics cards and the CPU being exactly average. This is not a balanced build; it is a GPU-centric configuration where the CPU is an afterthought. The data suggests that this build is designed for professional workloads that leverage the GPU's compute power, such as 3D rendering, AI inference, and video processing. The CPU is sufficient for these tasks but not ideal, and the build would benefit from a higher-core-count processor. The overall tier is upper-midrange, driven primarily by the GPU's exceptional performance. For users who need the GPU's capabilities, this build offers a high level of performance, but for general-purpose use or gaming, the CPU would be a significant limitation.

Usage Scenarios

High-refresh gaming: The GPU can push frame rates well above 144 Hz at 1080p in most titles, but the CPU's 54th percentile may cause bottlenecks, leading to inconsistent frame times. At 4K, the GPU is the limiting factor, and the CPU is less of a concern. No measured FPS data exists, but estimates suggest playable performance at high resolutions.

Streaming: The GPU's NVENC encoder (implied by the Ada Lovelace architecture) would handle streaming efficiently, but the CPU's 4 cores may struggle with simultaneous gaming and encoding if the GPU is not used for encoding. The 8 threads provide some headroom, but heavy multitasking would be challenging.

Video editing: The GPU's 32 GB of VRAM and high compute throughput accelerate rendering and effects, making this build strong for video editing in software that supports GPU acceleration. The CPU is adequate for timeline editing but may slow down export times in CPU-only codecs.

3D rendering: The GPU excels in this scenario, with 65.28 TFLOPS of FP32 compute and 100 RT cores for ray tracing. The CPU's role is minimal, and the build would handle complex scenes with ease, though the CPU may slow down scene preparation.

Software development: The CPU's multi-core score of 11,060 in Cinebench R23 is modest, so compilation times will be longer than with higher-core-count parts. The GPU is irrelevant for most development tasks, making this build overkill for coding but acceptable for developers who also need GPU compute.

Student and office work: This build is far more powerful than needed for word processing, spreadsheets, and web browsing. The GPU's capabilities are wasted, and the cost is not justified unless the student or office also runs GPU-accelerated applications.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation GPU based on the Ada Lovelace architecture, built on TSMC's 5 nm process. It features the AD102 chip with 76,300 million transistors on a 609 mm² die, with a transistor density of 125.3 million per mm². The GPU has a base clock of 1155 MHz and a boost clock of 2550 MHz, with memory running at 2250 MHz (18 Gbps effective). It has 32 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s. The GPU has 12,800 shading units, 400 texture mapping units, and 176 ROPs, along with 100 RT cores and 400 tensor cores. The pixel rate is 448.8 GPixel/s, the texture rate is 1,020.0 GTexel/s, and the FP32 performance is 65.28 TFLOPS, with FP16 performance at a 1:1 ratio.

The benchmark scores are exceptional, with a Geekbench OpenCL score of 175,286 and a Vulkan score of 194,041, placing it at the 98th percentile. The nearest rivals include the NVIDIA A100 SXM4 80 GB, which is only 0.5% behind, and the GeForce RTX 4090 D, which is 3.7% behind. This indicates that the RTX 5000 Ada Generation is not just a workstation card; it is among the fastest GPUs available. The 32 GB of VRAM is crucial for large datasets, and the 100 RT cores provide hardware acceleration for ray tracing, making it suitable for rendering and scientific visualization. The 400 tensor cores enable AI and deep learning workloads, and the 1:1 FP16 ratio means it can handle mixed-precision tasks efficiently. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad software compatibility. The dual-slot design and 250 W TDP are reasonable for the performance on offer, and the 600 W suggested PSU is sufficient. Overall, the GPU is a powerhouse that defines this build's character, and its performance is the primary reason to consider this configuration.