SYSTEM ANALYZER

Rate My PC: AMD Ryzen 7 5800G + 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 7 5800G

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

This pairing combines AMD’s 8-core Zen 3 workhorse with NVIDIA’s top-tier workstation-class GPU. The result is a desktop system with a strong multi-core foundation and exceptional graphics compute, but with a clear imbalance: the CPU anchors the system’s overall percentile while the GPU dominates in raw throughput. The data shows a system built for GPU-accelerated professional workloads where the CPU is sufficient but not the star.

Balance and Bottleneck

The most striking aspect of this build is the extreme mismatch in benchmark percentiles. The GPU sits at the 98th percentile of all GPUs, while the CPU rests at the 50th percentile of all CPUs. This means the graphics card is capable of outperforming nearly every other GPU on the market, while the processor is exactly average in its own field. The combined percentile for the system is 74, which reflects this imbalance—pulling the overall tier down from the GPU’s near-top position.

In GPU-bound workloads—rendering, ray tracing, machine learning inference, and high-resolution gaming—the RTX 5000 Ada will be the star. The CPU’s 8 cores and 16 threads are enough to feed the GPU in most scenarios, but not all. The data indicates the CPU’s 50th percentile position suggests it will bottleneck the GPU in lighter-threaded tasks or at lower resolutions where the GPU is not saturated. Conversely, in CPU-bound tasks like compilation, spreadsheet manipulation, or lighter database work, the GPU will sit largely idle.

The FPS scaling evidence is absent from the data, as no measured FPS rows exist for this exact combination. However, based on the benchmark scores, the bottleneck profile is clear: the GPU will be the limiting factor only in the most extreme GPU-heavy workloads, while the CPU will limit frame rates in most gaming scenarios, particularly at 1080p. The 65W TDP of the CPU versus the 250W TDP of the GPU also illustrates the power balance—the GPU draws nearly four times the power and will dominate thermals and noise.

Benchmark Performance

The CPU’s benchmark data is sparse—its average benchmark score is 0, and it has no nearest rivals listed. This means the data cannot directly quantify its performance against competitors. The 50th percentile versus all CPUs, however, places it squarely in the middle of the pack. This is consistent with a mid-range Zen 3 chip: 8 cores at a 3.80 GHz base and 4.80 GHz boost clock, which is adequate for mainstream productivity but not leading-edge.

The GPU’s numbers are far more concrete. In Geekbench OpenCL, it scores 175,286, and in Geekbench Vulkan, it scores 194,041. The average benchmark score is 184,664, which places it at the 98th percentile. The nearest rivals show how tight the competition is at this tier. The NVIDIA A100 SXM4 80 GB scores 183,725, a mere 0.5% lower. The A100 SXM4 40 GB scores 187,147, which is 1.3% higher. The RTX PRO 5000 Blackwell scores 182,109, 1.4% lower, and the GeForce RTX 4090 D scores 178,050, 3.7% lower. This indicates the RTX 5000 Ada is within a narrow 5% band of the fastest accelerators and gaming GPUs available, making it a top-tier compute part.

The combined picture is a system where the GPU provides roughly 98% of the raw compute capability, while the CPU provides the platform stability and threading for general tasks. The 74th combined percentile reflects that the GPU cannot fully compensate for the CPU’s mediocrity in mixed workloads, but in GPU-accelerated tasks, the system will perform near the top of the desktop class.

Gaming Performance

The data contains no measured FPS figures for this CPU-GPU combination. The measuredFpsUltraByGame field is empty, and the dataIsMeasured flag is false. Therefore, all gaming performance figures discussed here are estimates derived from the benchmark scores, not actual test results.

Based on the GPU’s 98th percentile and its 65.28 TFLOPS of FP32 compute, this system is capable of extreme frame rates in most titles at 4K. The 32 GB of VRAM ensures that texture-heavy games will not run out of memory even at maximum settings. The CPU, however, will cap performance in many games. At 1080p, the 8-core Zen 3 chip’s 50th percentile position suggests it will struggle to keep up with the GPU’s output, leading to CPU-bound scenarios where frame rates plateau. At 1440p and 4K, the GPU becomes the bottleneck more often, and the system will deliver high but not class-leading frame rates, since the GPU is designed for workstation compute rather than gaming-specific optimizations.

The GPU’s 100 RT cores and 400 tensor cores will provide strong ray tracing and DLSS performance, but the lack of measured gaming data means these are qualitative expectations. The 576.0 GB/s memory bandwidth and 32 GB GDDR6 capacity will handle any modern game’s asset streaming requirements. Overall, this is not a dedicated gaming build, but it will run games well at high resolutions, with the CPU being the primary limiter in esports or high-refresh-rate scenarios.

Who Should Build It

This system targets professionals who need massive GPU compute power but do not require a top-tier CPU. The primary audience is 3D artists and animators using rendering engines that leverage CUDA cores, where the 65.28 TFLOPS and 32 GB VRAM will dramatically reduce render times compared to consumer GPUs. Similarly, machine learning engineers and researchers will benefit from the 400 tensor cores and 32 GB memory, which can hold large models for training or inference without spilling to system RAM.

Content creators working with 8K video editing or complex After Effects compositions will see the GPU accelerate exports and effects, while the 8-core CPU handles the timeline and background tasks adequately. Developers building and testing CUDA applications will appreciate the full compute capability without needing a separate workstation GPU. The system also suits small business workstations running CAD or simulation software that offloads to the GPU, where the CPU’s average performance is acceptable for single-threaded UI tasks.

Students in engineering or data science fields will benefit from the GPU’s compute power for projects, though the cost of the GPU alone likely exceeds a student budget. The system is less suited for gamers seeking high refresh rates at 1080p, as the CPU will bottleneck, and it is overkill for office productivity where the GPU sits idle. The build class is desktop, so it is a stationary workstation, not a portable solution.

CPU Analysis

The AMD Ryzen 7 5800G is an 8-core, 16-thread processor based on the Zen 3 architecture, codenamed Cezanne. It is manufactured on TSMC’s 7 nm process, with 10,700 million transistors on a 180 mm² die. The base clock is 3.80 GHz, boosting to 4.80 GHz, and it has a 65W TDP. The cache hierarchy includes 64 KB L1 per core, 512 KB L2 per core, and 16 MB of shared L3 cache. It supports DDR4 memory in dual-channel mode, with a 51.2 GB/s memory bandwidth, and has PCIe Gen 3 with 16 lanes from the CPU.

The benchmark scores for this CPU are not available, as the benchmarks array is empty and the average score is 0. The 50th percentile versus all CPUs is the only quantitative measure. This indicates that the 5800G performs at the median level compared to every other CPU in the database. For real workloads, this means it will handle 8-thread tasks like video encoding or compilation reasonably well, but it will not excel in heavily multi-threaded server-style workloads where higher-core-count chips dominate.

The integrated Radeon Vega 8 graphics are present, but they are irrelevant in a system with a discrete RTX 5000 Ada. The unlocked multiplier allows overclocking, which could push the boost clock higher, but the 65W TDP limits headroom without additional cooling. The memory bandwidth of 51.2 GB/s is modest compared to the GPU’s 576.0 GB/s, meaning the CPU will not be the source of data throughput in GPU-bound tasks. The 50th percentile position suggests that in gaming, it will provide average frame pacing, but it will not sustain the highest refresh rates in CPU-heavy titles.

FAQ

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

A: The combined percentile is 74, which places the system in the upper-middle tier of all desktop builds.

Q: How does the RTX 5000 Ada compare to the NVIDIA A100 SXM4 80 GB?

A: The RTX 5000 Ada has an average benchmark score of 184,664, which is 0.5% higher than the A100 SXM4 80 GB’s score of 183,725.

Q: Does the CPU support ECC memory?

A: No, the Ryzen 7 5800G does not support ECC memory, which may be a consideration for mission-critical workstation use.

Q: What is the memory bandwidth of the GPU?

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

Q: Is the CPU’s integrated graphics sufficient for basic display output?

A: Yes, the Radeon Vega 8 integrated graphics can provide display output, but the discrete RTX 5000 Ada will be the primary GPU for all rendering tasks.

Q: What is the TDP of each component?

A: The CPU has a 65W TDP, and the GPU has a 250W TDP, with a suggested power supply of 600W for the system.

Q: Are there any measured FPS results for this exact build?

A: No, the data contains no measured FPS rows for this combination, so all gaming performance figures are estimates based on benchmark scores.

Upgrade Path and Platform

The CPU uses the AMD Socket AM4 platform, which is a mature socket with a long life, but it is a dead end for future CPU upgrades. The Ryzen 7 5800G is part of the 5000 series, and the latest CPUs on AM4 are also Zen 3 parts, so there is no newer architecture available on this socket. A sensible next upgrade would be to a higher-core-count AM4 chip, such as a 12- or 16-core part, but the data does not specify which models are compatible or their performance. The system supports DDR4 memory in dual-channel mode, which is the last generation of DDR4; DDR5 is not an option on this socket.

The GPU uses PCIe 4.0 x16, and the CPU provides PCIe Gen 3 lanes. This means the GPU will run at PCIe Gen 3 speeds, which may slightly limit bandwidth, but the data does not show a measurable performance impact. The GPU has 4x DisplayPort 1.4a outputs, so multi-monitor setups are supported. The suggested PSU for the GPU alone is 600W, which is also the system recommendation, indicating that the CPU’s 65W draw is easily accommodated. The GPU uses a single 16-pin power connector.

A sensible next upgrade would be to a newer platform, such as one supporting PCIe Gen 4 or Gen 5, to fully utilize the GPU’s bandwidth. However, the data does not list any specific compatible CPUs or motherboards for such a transition. Alternatively, adding more DDR4 RAM (the data does not specify a maximum capacity) could help in memory-heavy workloads. The 16 MB L3 cache on the CPU is modest, so a CPU with more cache would improve gaming and some compute tasks, but that is not listed as a direct upgrade.

Build Overview

This is a desktop build that pairs the AMD Ryzen 7 5800G with the NVIDIA RTX 5000 Ada Generation. The system’s combined percentile is 74, placing it in the upper-middle tier of all desktop configurations. The CPU is a mainstream 8-core Zen 3 part at the 50th percentile, while the GPU is a workstation-class Ada Lovelace chip at the 98th percentile. This is a classic workstation pairing: the CPU provides adequate general-purpose performance, and the GPU delivers massive parallel compute for rendering, simulation, and AI.

The build class is desktop, meaning it is a stationary tower or workstation, not a laptop or mobile unit. The GPU is dual-slot and measures 267 mm in length, so it requires a full-sized case with adequate clearance. The power requirements are substantial—a 600W PSU is suggested—and the GPU uses a 16-pin connector. The system is not balanced for gaming, where the CPU will bottleneck, but it is highly capable for professional GPU-accelerated tasks where the CPU is not the limiting factor. The overall tier is high, driven almost entirely by the GPU’s near-top performance.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation GPU based on the Ada Lovelace architecture, using the AD102 chip. It is manufactured on TSMC’s 5 nm process, with 76,300 million transistors on a 609 mm² die, giving a transistor density of 125.3 million per square millimeter. The GPU has 12,800 shading units, 400 texture mapping units, and 176 raster output units. It includes 100 RT cores and 400 tensor cores, making it a formidable ray tracing and AI compute device.

The memory subsystem consists of 32 GB of GDDR6 on a 256-bit bus, with a bandwidth of 576.0 GB/s. The memory clock is 2250 MHz, with an effective data rate of 18 Gbps. The GPU’s base clock is 1155 MHz, with a boost clock of 2550 MHz. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s. The FP32 performance is 65.28 TFLOPS, and the FP16 performance is also 65.28 TFLOPS at a 1:1 ratio.

In benchmark results, the GPU scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, with an average of 184,664. This places it at the 98th percentile, just 0.5% ahead of the A100 SXM4 80 GB and 1.3% behind the A100 SXM4 40 GB. The RTX PRO 5000 Blackwell is 1.4% slower, and the RTX 4090 D is 3.7% slower. These scores indicate that for rendering, the GPU will handle complex scenes with high polygon counts and large textures efficiently. The 32 GB VRAM is particularly beneficial for GPU-accelerated rendering of large models or high-resolution textures, and the 400 tensor cores will accelerate AI denoising and machine learning workloads. The 100 RT cores provide hardware-accelerated ray tracing, which is useful for photorealistic rendering in applications like Blender or Octane. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern graphics APIs. It has a TDP of 250W and requires a 600W PSU, with a dual-slot cooler and a 16-pin power connector. The display outputs are 4x DisplayPort 1.4a, which supports high-resolution monitors. The release date is August 8, 2023, and it is currently in active production. The predecessor is Workstation Ampere, and the successor is Blackwell PRO W, indicating this is a mature product in the workstation lineup.