SYSTEM ANALYZER

Rate My PC: AMD Ryzen 3 8300G + NVIDIA RTX 5000 Ada Generation

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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91 Score

Top 9% Ranking

91 / 100

ULTIMATE READY

Apex Performer

Top 9% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

83%

GPU

99%

PROCESSOR

AMD Ryzen 3 8300G

18,169 Benchmark Score

Top 17% 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

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 3 8300G and NVIDIA RTX 5000 Ada Generation form a desktop pairing that targets a highly specific professional niche, combining a modest entry-level CPU with a top-tier workstation GPU. The benchmark data shows a stark performance disparity: the GPU operates in the 98th percentile of all GPUs, while the CPU sits in the 72nd percentile, creating a system whose overall capability is defined almost entirely by its graphics processor. No measured FPS rows exist for this exact combination in the FACT PACK, so all frame-rate discussion here is estimated from the synthetic benchmark scores.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, and its benchmark scores place it in the 98th percentile of all GPUs, with an average benchmark score of 184,664. This places it in rarefied company, running within 0.5% of the NVIDIA A100 SXM4 80 GB (which scores 183,725) and 1.3% ahead of the A100 SXM4 40 GB (187,147). The data shows it also edges out the newer RTX PRO 5000 Blackwell by 1.4% (182,109) and the consumer-oriented GeForce RTX 4090 D by 3.7% (178,050), indicating that for raw compute throughput, this workstation card is at the very top of the stack.

The sheer size of the memory subsystem is the defining feature. The card carries 32 GB of GDDR6 memory on a 256-bit bus, yielding a memory bandwidth of 576.0 GB/s. For rendering workloads, this capacity is transformative; it allows entire high-resolution scenes, complex 3D models, and large texture sets to reside in VRAM without spilling to system memory. The GPU’s clock speeds are substantial, with a base clock of 1155 MHz and a boost clock of 2550 MHz, while the memory operates at an effective 18 Gbps. The compute resources are equally imposing: 12,800 shading units, 400 texture mapping units, and 176 raster output pipelines drive a pixel rate of 448.8 GPixel/s and a texture rate of 1,020.0 GTexel/s. The FP32 performance of 65.28 TFLOPS (with FP16 also at 65.28 TFLOPS, a 1:1 ratio) underscores its suitability for heavy scientific and simulation workloads.

For ray tracing and AI-accelerated tasks, the hardware is fully loaded. The GPU contains 100 RT cores and 400 tensor cores, which are the dedicated engines for ray-traced rendering and DLSS-style upscaling or denoising. Given the benchmark scores, the data indicates this GPU can handle the most demanding rendering tasks with ease. The Geekbench Vulkan score of 194,041 and OpenCL score of 175,286 are both extremely high, reflecting strong performance in compute-heavy applications like Blender, OctaneRender, or Redshift. The 600 W suggested PSU and 250 W TDP indicate that this is a power-hungry component, but the performance ceiling justifies the requirement for a robust power supply. The dual-slot design and 267 mm length are typical for this class of card, and the 4x DisplayPort 1.4a outputs support multi-monitor professional setups.

FAQ — 5-7 Q&A pairs answerable from FACT PACK data

Q: What is the performance percentile of the RTX 5000 Ada Generation compared to all GPUs?

A: The GPU sits in the 98th percentile of all GPUs, with an average benchmark score of 184,664. This puts it ahead of the NVIDIA A100 SXM4 80 GB (by 0.5%) and the GeForce RTX 4090 D (by 3.7%).

Q: How does the Ryzen 3 8300G compare to its closest rivals in average benchmark score?

A: The CPU has an average benchmark score of 18,169, placing it in the 72nd percentile. It is essentially tied with the AMD Ryzen 7 5700U (18,176, 0% delta) and the Intel Core i7-1365U (18,177, 0% delta), while being 0.1% slower than the Intel Core i7-9700 (18,180) and 0.1% faster than the Intel Core i5-1334U (18,154).

Q: What is the memory configuration of the RTX 5000 Ada Generation?

A: The GPU features 32 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s. The memory clock is 2250 MHz, which translates to 18 Gbps effective.

Q: Does the Ryzen 3 8300G support ECC memory, and what type of memory does it use?

A: Yes, the CPU supports ECC memory. It uses DDR5 memory in a dual-channel configuration, with a memory bandwidth of 83.2 GB/s.

Q: What are the core and thread counts of the AMD Ryzen 3 8300G?

A: The CPU has 4 cores and 8 threads, based on the Zen 4 architecture (codenamed Phoenix2) built on a 4 nm process. It has a base clock of 3.40 GHz and a boost clock of 4.90 GHz.

Q: What is the combined percentile of this CPU+GPU pairing?

A: The combined percentile for the desktop build is 85, which reflects the high performance of the GPU pulling the overall system score up despite the more modest CPU performance.

Q: What is the socket and PCIe interface for the Ryzen 3 8300G?

A: The CPU uses the AMD Socket AM5 and supports PCIe Gen 4 with 14 lanes (CPU only). The GPU in this pairing uses a PCIe 4.0 x16 interface.

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work

For high-refresh gaming, the data presents a lopsided picture. The GPU’s 98th percentile ranking suggests it can push extremely high frame rates at demanding resolutions, but the CPU’s 72nd percentile score (with a Passmark single-thread score of 3,778 and a Cinebench R23 single-core score of 1,724) could bottleneck in CPU-bound scenarios, limiting the ability to sustain the highest refresh rates in esports titles. The estimated FPS is high, but the CPU may prevent the system from reaching the absolute peak in games that rely heavily on a single core.

Streaming is a mixed workload that benefits from both strong single-core and multi-core performance. The CPU’s Cinebench R23 multi-core score of 12,217 and Passmark multi-thread score of 14,018 are adequate for encoding on the CPU, but the RTX 5000 Ada’s 400 tensor cores and 100 RT cores make it far more efficient to use the GPU’s dedicated NVENC encoder, which offloads the streaming overhead from the CPU entirely. The GPU’s Vulkan score of 194,041 ensures that the rendering pipeline remains smooth while streaming.

Video editing is where this pairing shines. The 32 GB VRAM buffer is ideal for scrubbing through 4K or 8K timelines and applying heavy effects without memory pressure. The GPU’s FP32 performance of 65.28 TFLOPS accelerates effects processing, color grading, and exports. The CPU, while not a powerhouse, provides sufficient single-thread performance (Cinebench R20 single-core score of 724) for timeline responsiveness, but the multi-core score of 5,131 in Cinebench R20 may lead to slower export times compared to higher-core-count CPUs.

3D rendering is the primary use case for this build. The GPU’s 98th percentile ranking and its closeness to the A100 SXM4 (within 0.5% to 1.3%) mean that render times in GPU-accelerated engines will be exceptionally short. The 100 RT cores are dedicated to ray tracing, and the 400 tensor cores accelerate AI denoising, making interactive rendering feasible. The CPU’s role is secondary; its Cinebench R23 score of 12,217 is enough to prepare scenes, but the heavy lifting is done by the GPU.

Software development workloads vary widely. For compilation, the CPU’s 4 cores and 8 threads will be a limiting factor; the Passmark integer math score of 40,534 and data compression score of 158,952 suggest it can handle everyday builds, but large codebases will compile slowly. However, for developers working on GPU compute, machine learning, or graphics programming, the RTX 5000 Ada’s 65.28 TFLOPS FP32 and tensor cores provide a formidable local testbed that far exceeds the CPU’s capabilities.

For student and office work, this system is overpowered but functional. The CPU’s Passmark single-thread score of 3,778 and data encryption score of 9,115 indicate snappy performance for productivity suites, web browsing, and spreadsheets. The integrated Radeon 740M graphics in the CPU can handle office displays, but the dedicated GPU is massive overkill for this scenario, making the build inefficient for purely administrative tasks.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The balance of this system is heavily skewed, and the bottleneck analysis is straightforward. The GPU operates at the 98th percentile, while the CPU sits at the 72nd. This 26-percentile gap is the defining characteristic of the build. In GPU-bound workloads, such as 3D rendering, deep learning training, or high-resolution video processing, the RTX 5000 Ada will operate at near its full potential, and the CPU will not be a limiting factor. The data shows the GPU is within 3.7% of the RTX 4090 D, indicating it has headroom to be the primary workhorse.

In CPU-bound workloads, the situation reverses. For tasks like physics simulations, the CPU’s Passmark physics score of 755 is modest, and in gaming, the single-thread performance becomes critical. The estimated FPS scaling suggests that at lower resolutions (1080p), the CPU will limit the frame rate because the GPU is so fast that it will wait for the CPU to feed it data. At higher resolutions (4K), the GPU becomes the bottleneck, and the CPU’s limitations are less apparent. The Cinebench R15 multi-core score of 1,231 and single-core of 173 reinforce that the CPU is a quad-core part in a world where 8-core or 16-core parts are common, so any workload that scales across many threads will be bottlenecked by the CPU.

The practical bottleneck is situational. The build is balanced for professional GPU compute, where the CPU is merely a coordinator. It is imbalanced for gaming, where the CPU will hold back the GPU’s potential at high refresh rates. The combined percentile of 85 suggests that the overall system is still very high-performing, but this is dragged up by the GPU. The lack of measured FPS data means all frame-rate estimates are derived from the benchmark scores, and the wide gap between the CPU and GPU percentiles is the clearest indicator of where performance will be lost.

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The CPU, an AMD Ryzen 3 8300G, delivers an average benchmark score of 18,169, placing it in the 72nd percentile of all CPUs. Its synthetic scores are consistent with a modern quad-core part: Cinebench R23 multi-core yields 12,217 points and single-core 1,724 points. In Cinebench R20, it scores 5,131 multi-core and 724 single-core, while in the older R15 test, it achieves 1,231 multi-core and 173 single-core. The Passmark suite shows a multi-thread score of 14,018 and a single-thread score of 3,778, with notable sub-scores in integer math (40,534), floating-point math (25,336), and data compression (158,952). The CPU’s nearest rivals are all within 0.1% of its average score, showing it performs exactly in line with other mid-range mobile and older desktop parts like the Intel Core i7-9700.

The GPU, an NVIDIA RTX 5000 Ada Generation, is in a different league entirely. With an average benchmark score of 184,664, it ranks in the 98th percentile, which means it outperforms 98% of all GPUs in the database. Its Geekbench scores are 194,041 (Vulkan) and 175,286 (OpenCL). The GPU’s nearest rivals include the A100 SXM4 variants, with the RTX 5000 Ada being 0.5% faster than the 80 GB version and 1.3% slower than the 40 GB version. It is also 1.4% faster than the newer RTX PRO 5000 Blackwell and 3.7% faster than the GeForce RTX 4090 D.

The combined picture is one of extreme asymmetry. The combined percentile for the build is 85, which is a high overall score, but it masks the fact that the CPU is only average while the GPU is elite. The data suggests that in any workload where the GPU is active, the system will perform like a top-tier workstation. In workloads that rely on the CPU, the system will perform like a mid-range desktop. The absence of measured FPS data means that the “combined” performance is a synthetic amalgamation, but the percentile positions alone tell the story: this is a GPU-centric system.

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

This build is for professionals who need extreme GPU compute power but have relatively modest CPU requirements. The primary target users are 3D artists and animators who work with ray-traced renderers; the 100 RT cores and 32 GB VRAM make short work of complex scenes, and the CPU is sufficient for asset management and scene setup. Video editors working with 8K raw footage will benefit from the 576.0 GB/s memory bandwidth and 65.28 TFLOPS of FP32 performance, which accelerate effects and color grading, though export times will be limited by the CPU’s 4 cores.

Data scientists and machine learning engineers are another clear audience. The 400 tensor cores provide the matrix math acceleration needed for training and inference, and the 32 GB VRAM allows for larger batch sizes and models than consumer GPUs. The CPU’s data encryption score of 9,115 and extended instructions score of 12,354 are sufficient for data preprocessing, but the GPU is the reason to build this system.

Gamers should only consider this build if they are targeting 4K resolution or high-fidelity VR, where the GPU’s 98th percentile performance will dominate. At 1080p or 1440p, the CPU’s 72nd percentile will create a bottleneck, preventing the GPU from reaching its full frame rate potential. The Passmark physics score of 755 indicates that CPU-intensive game physics will be a limitation.

Students and small business workstations are not ideal use cases. The performance is overkill for word processing, spreadsheets, and web browsing, and the power draw (250 W GPU TDP) makes it inefficient for an office environment. However, a small business doing CAD or architectural visualization would find the GPU’s capabilities transformative. The build is a specialized tool, not a general-purpose machine.

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The AMD Ryzen 3 8300G is a 4-core, 8-thread processor based on the Zen 4 architecture, with the codename Phoenix2. It is manufactured on a 4 nm process by TSMC, with 20,900 million transistors on a 137 mm² die. The base clock is 3.40 GHz, with a boost clock of 4.90 GHz, and it has a TDP of 65 W. The cache hierarchy includes 64 KB of L1 per core, 1 MB of L2 per core, and 8 MB of shared L3 cache. It supports DDR5 memory in a dual-channel configuration, with a peak memory bandwidth of 83.2 GB/s, and includes a Radeon 740M integrated GPU.

In real workloads, the benchmark scores paint a clear picture of a solid but not exceptional quad-core part. The Cinebench R23 single-core score of 1,724 is strong, indicating that the high 4.9 GHz boost clock is effective for lightly-threaded tasks like web browsing, office applications, and legacy software. The multi-core score of 12,217 is respectable for a 4-core part, but it falls far behind 6-core and 8-core rivals. The Passmark integer math score of 40,534 and floating-point score of 25,336 show that it can handle general computation, while the find prime numbers score of 47 is notably low, suggesting weaker performance in specific mathematical workloads.

The CPU’s nearest rivals are all within 0.1% of its average score, including the AMD Ryzen 7 5700U and Intel Core i7-1365U, which are mobile parts, and the Intel Core i7-9700, a much older desktop part. This indicates that the 8300G performs at the level of a good mid-range processor, but it does not punch above its weight. The 83.2 GB/s memory bandwidth is adequate for the CPU’s needs, but it will not feed the RTX 5000 Ada’s 576.0 GB/s bandwidth, meaning the CPU can become a data-delivery bottleneck in some GPU workloads that require constant CPU input.

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

This is a desktop build, as indicated by the buildClass field, pairing the AMD Ryzen 3 8300G with the NVIDIA RTX 5000 Ada Generation. The overall tier of the system, based on the combined percentile of 85, is high-end, but the composition is unusual. The GPU is in the 98th percentile, which places it in the absolute top tier of graphics hardware, comparable to data-center accelerators like the A100 SXM4. The CPU is in the 72nd percentile, which places it in the upper-mid range of desktop processors, comparable to a slightly older Intel Core i7.

The system is best described as a professional workstation with a cost-optimized CPU. The RTX 5000 Ada is the clear centerpiece, and the Ryzen 3 8300G serves as a budget-friendly companion that provides enough compute to drive the GPU without wasting money on CPU cores that would go unused in GPU-centric workflows. The combined percentile of 85 suggests that this system will outperform most consumer desktops, but it will be held back in CPU-intensive tasks. The lack of measured FPS data means that the “combined” score is an average of the two component scores, not a direct measurement of system performance.

This is not a balanced gaming rig. It is a specialized tool for compute-intensive professional applications. The 65 W TDP of the CPU and 250 W TDP of the GPU mean that the system’s thermal and power requirements are manageable with a high-quality power supply (the suggested PSU is 600 W). The build is designed for users who understand that the GPU is the system, and the CPU is just there to support it.

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The platform is built on the AMD Socket AM5, which is a modern, forward-looking socket that supports DDR5 memory. The CPU supports dual-channel DDR5 with ECC capability, providing a solid foundation for a professional workstation. The PCIe interface is Gen 4, with the CPU providing 14 lanes and the GPU using a PCIe 4.0 x16 connection. This is sufficient for the RTX 5000 Ada, as it is unlikely to saturate the Gen 4 bandwidth.

The power delivery is adequate. The CPU has a 65 W TDP, and the GPU has a 250 W TDP, with a suggested PSU of 600 W. This leaves some headroom for additional components like drives and fans, but it does not allow for significant overclocking or adding a second high-power GPU. The CPU’s multiplier is locked, so overclocking is not an option for the processor. The GPU requires a single 16-pin power connector, which is standard for modern high-end cards.

The most sensible next upgrade is to replace the CPU with a higher-core-count AM5 part. The socket supports the full range of Ryzen 7000 and 8000 series processors, so a user could move to an 8-core or 12-core part to alleviate the CPU bottleneck in gaming and multi-threaded productivity. The data shows that the current CPU is the limiting factor in this system; upgrading to a part with more cores and threads would better balance the system and allow the GPU to stretch its legs in CPU-bound scenarios. A second option is to add more system memory, as the CPU’s 83.2 GB/s bandwidth is only half of the GPU’s, and having more DDR5 RAM could help with data caching. However, the GPU’s 32 GB VRAM is already ample, so system RAM upgrades are less critical. The platform’s longevity is good, as AM5 is a current socket, and the PCIe Gen 4 interface will remain relevant for several generations of hardware.

Rate My PC: AMD Ryzen 3 8300G + NVIDIA RTX 5000 Ada Generation

Apex Performer

System Balance Analysis

AMD Ryzen 3 8300G

NVIDIA RTX 5000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Optimal Performance

4K Gaming Ready

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

FAQ — 5-7 Q&A pairs answerable from FACT PACK data

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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