SYSTEM ANALYZER

Rate My PC: AMD Ryzen 7 5700X + NVIDIA RTX 5000 Ada Generation

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

94 / 100
ULTIMATE READY

Apex Performer

Top 6% 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
88%
VS
GPU
99%
PROCESSOR

AMD Ryzen 7 5700X

27,578 Benchmark Score
Top 12% 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
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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

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, using a 5 nm process at TSMC with 76,300 million transistors on a 609 mm² die. The chip, AD102, is the same silicon family used across NVIDIA's high-end professional lineup, and the board is configured with 32 GB of GDDR6 memory on a 256-bit bus, yielding 576.0 GB/s of bandwidth. That memory capacity is the headline feature here: 32 GB is enough for massive 3D scenes, high-resolution textures, and GPU-accelerated AI inference workloads that would spill over on 16 GB or even 24 GB cards. The memory clock is 2250 MHz, or 18 Gbps effective, which is not the fastest GDDR6X speed seen in gaming cards, but the 256-bit bus and 576.0 GB/s bandwidth are well matched for professional rendering tasks where capacity matters more than raw peak bandwidth.

The compute configuration is substantial. The RTX 5000 Ada packs 12,800 shading units, 400 texture mapping units, and 176 ROPs. It also carries 100 RT cores and 400 tensor cores, which are the dedicated hardware blocks for ray tracing and AI-accelerated features like DLSS or OptiX denoising. The FP32 throughput is 65.28 TFLOPS, with FP16 also at 65.28 TFLOPS (1:1 ratio), which is a strong figure for both single-precision simulation and half-precision machine learning workloads. Pixel rate is 448.8 GPixel/s and texture rate is 1,020.0 GTexel/s, meaning the GPU can push an enormous number of fragments and texels per second, which is directly relevant to high-resolution rendering and texture-heavy scenes. The boost clock is 2550 MHz, with a base clock of 1155 MHz, and the TDP is 250 W, a power envelope that is modest relative to the compute density on offer.

In benchmark terms, the RTX 5000 Ada scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan. These are not gaming frame rates but raw compute throughput numbers, and they place the GPU in the 98th percentile of all GPUs in the database. The average benchmark score is 184,664. The nearest rivals are instructive: the NVIDIA A100 SXM4 80 GB scores 183,725, which is 0.5% lower; the A100 SXM4 40 GB scores 187,147, which is 1.3% higher; the NVIDIA RTX PRO 5000 Blackwell scores 182,109, which is 1.4% lower; and the NVIDIA GeForce RTX 4090 D scores 178,050, which is 3.7% lower. So the RTX 5000 Ada sits right at the top of the professional GPU tier, trading blows with the A100 datacenter parts and outpacing a high-end desktop gaming card like the RTX 4090 D by almost 4% in these compute benchmarks. The implication for rendering is clear: this GPU is not just a workstation card, it is a compute powerhouse that can handle offline rendering, ray-traced workloads, and AI denoising without breaking a sweat.

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

The combined percentile for this desktop build is 89, which places the CPU+GPU pairing in the top tier of all systems in the database. But that aggregate number hides the asymmetry between the two components. The GPU sits at the 98th percentile among all GPUs, while the CPU sits at the 79th percentile among all CPUs. That is a meaningful gap: the GPU is an elite-class compute device, while the CPU is a solidly above-average mainstream part. This suggests that in many workloads, the CPU will be the limiting factor, particularly in tasks that are latency-sensitive or rely on single-threaded performance.

Looking at the CPU's benchmark scores, the single-thread performance is the weak point relative to its multi-thread capability. The 3DMark single-thread score is 921, while the 2-thread score is 1821, the 4-thread score is 3512, the 8-thread score is 5768, and the max-thread score is 6850. The scaling from 2 to 4 threads is nearly perfect (3512 vs. 2×1821 = 3642, so about 3.5% loss), but from 8 to 16 threads the scaling flattens out: the max-thread score of 6850 is only 18.8% higher than the 8-thread score of 5768, despite doubling the thread count. This indicates that the CPU is not fully utilizing all 16 threads in this workload, or that memory bandwidth is starting to become a constraint. The L3 cache is 32 MB shared, and the memory bandwidth is 51.2 GB/s, which is modest by modern standards and could be a bottleneck in heavily multithreaded tasks.

For gaming, the balance depends on resolution. At lower resolutions, the CPU's single-thread performance and memory bandwidth will likely limit frame rates, since the GPU is so powerful it can outrun the CPU's ability to feed it draw calls. At higher resolutions, the GPU becomes the bottleneck, which is where the RTX 5000 Ada's 98th percentile standing will shine. The benchmark data supports this: the GPU's compute scores are nearly an order of magnitude higher than typical gaming GPUs, but the CPU's single-thread score of 921 in 3DMark is not exceptional. No measured FPS data exists for this exact combination, so all frame rate expectations are estimates based on the component scores. The key takeaway is that the GPU will be severely underutilized in CPU-bound scenarios, and users should target high resolutions or compute-heavy workloads to get the most out of the pairing.

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

The AMD Ryzen 7 5700X is an 8-core, 16-thread processor based on the Zen 3 architecture, codenamed Vermeer, built on TSMC's 7 nm process. It has a base clock of 3.40 GHz and a boost clock of 4.60 GHz, with a TDP of 65 W. The processor supports DDR4 memory in dual-channel mode, with a theoretical memory bandwidth of 51.2 GB/s, and it supports ECC memory. It uses the AMD Socket AM4 platform and provides PCIe Gen 4 with 20 lanes from the CPU. The die contains 4,150 million transistors on a 74 mm² die, which is a notably dense design for its generation. The cache hierarchy is 64 KB of L1 per core, 512 KB of L2 per core, and 32 MB of shared L3 cache. The CPU is unlocked for overclocking and was released in April 2022 with a launch MSRP of $299.

In benchmark terms, the 5700X delivers a Cinebench R23 multi-core score of 13,184 and a single-core score of 1,499. The Geekbench scores are 10,779 multi-core and 2,016 single-core. The 3DMark thread scaling is more revealing: the single-thread score is 921, but the 2-thread score is 1,821, the 4-thread score is 3,512, the 8-thread score is 5,768, and the max-thread score is 6,850. The scaling from 8 to 16 threads is poor, which suggests that the chip is hitting memory bandwidth or power limits before the compute units are fully saturated. The PassMark suite shows strong integer math at 92,749, floating point math at 51,842, and multithread at 26,612, with a single-thread score of 3,385. The data compression score is 323,610 and encryption is 20,198, both of which are solid for a desktop part. The average benchmark score is 27,578, and the CPU sits at the 79th percentile of all CPUs.

The nearest rivals put the 5700X in context. The Intel Core i5-12600K matches it exactly with an average score of 27,578 (0% delta). The AMD Ryzen 7 5800 is 0.2% behind at 27,535, the AMD Ryzen 5 7600X is 0.2% ahead at 27,636, and the Intel Core Ultra 5 125H is 0.3% ahead at 27,507. This means the 5700X is a mainstream-tier CPU that competes directly with mid-range Intel and AMD offerings from a generation or two later. For real workloads, this translates to strong multi-threaded performance for video encoding, compilation, and rendering, but the single-thread performance, while adequate, is not class-leading. The 65 W TDP is a standout feature: it delivers near-flagship performance from a few generations ago at a power draw that is easy to cool and cheap to run. The ECC memory support is a niche but valuable feature for workstations that need data integrity.

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 users who need extreme GPU compute power but are willing to pair it with a mainstream CPU. The primary audience is professionals working in 3D rendering, simulation, and AI inference, where the RTX 5000 Ada's 98th percentile GPU standing and 32 GB of VRAM are directly relevant. The GPU's compute scores — 175,286 in OpenCL and 194,041 in Vulkan — are competitive with datacenter parts like the A100, so anyone doing GPU-accelerated rendering (e.g., Blender, Octane, Redshift) or running local LLM inference will see exceptional performance. The 400 tensor cores and 100 RT cores mean that AI denoising and ray-traced workloads are handled by dedicated hardware, not the general-purpose shading units.

Gamers should only consider this build if they are playing at 4K or high-refresh 1440p with ray tracing enabled, where the GPU's raw power can be fully utilized. The CPU's 79th percentile standing will be a bottleneck at lower resolutions, but at 4K the GPU will be the limiting factor and the 5700X will be sufficient. Content creators who work in video editing will benefit from the CPU's multi-threaded scores — Cinebench R23 multi-core of 13,184 and PassMark multithread of 26,612 — for timeline rendering and export, while the GPU accelerates effects and color grading. Software developers who compile large codebases will see good performance from the 8-core/16-thread design, and the ECC memory support is a plus for long-running builds or server-like workloads.

Students and small business workstations are a secondary audience. The 65 W CPU means the system is easy to cool and quiet, which is suitable for an office environment. The 32 GB of VRAM on the GPU is overkill for typical office tasks, but if the workstation is used for CAD, medical imaging, or data analysis, the GPU will not be the limiting factor. The build is not ideal for users who want to save money on the GPU, because the RTX 5000 Ada is a professional card with a correspondingly high price, but for those who need its compute capability, the 5700X is a sensible pairing that does not waste power or budget on CPU performance that would go unused in GPU-bound workloads.

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

The CPU's average benchmark score is 27,578, placing it at the 79th percentile of all CPUs. The GPU's average benchmark score is 184,664, placing it at the 98th percentile of all GPUs. The combined percentile for the build is 89. The gap between the 79th and 98th percentiles is the defining characteristic of this pairing: it is a GPU-first system, with the CPU serving as a capable but not exceptional companion.

Looking at specific CPU scores, the Cinebench R23 multi-core score of 13,184 and single-core score of 1,499 show a strong multi-threaded performance relative to single-threaded. The Geekbench multi-core score of 10,779 and single-core of 2,016 reinforce this. The 3DMark thread scaling from 921 (single) to 6,850 (max) shows that the CPU gains a 7.4x multiplier from 1 to 16 threads, which is reasonable but not stellar — a perfectly scaling 16-thread chip would show closer to 12-14x. The PassMark scores are consistently strong across the board, with integer math at 92,749 and floating point at 51,842, suggesting the CPU is well-balanced for mixed workloads.

The GPU scores are in a different league. The Geekbench OpenCL score of 175,286 and Vulkan score of 194,041 are roughly 6-7x higher than what a typical mid-range gaming GPU would produce, which is consistent with the 98th percentile ranking. The nearest rival comparisons are all within 4%: the A100 SXM4 80 GB is 0.5% behind, the A100 SXM4 40 GB is 1.3% ahead, the RTX PRO 5000 Blackwell is 1.4% behind, and the RTX 4090 D is 3.7% behind. This puts the RTX 5000 Ada in the same performance class as datacenter accelerators that cost significantly more, and it is notably faster than the RTX 4090 D, which is a top-tier gaming card.

The combined picture is a system that will excel in GPU-compute-bound tasks and struggle to fully utilize the GPU in CPU-bound tasks. The 89th combined percentile reflects that the GPU is pulling the overall ranking up, while the CPU is holding it back from the very top. For users who understand this balance and target their workloads accordingly, the system is highly capable. For users who expect balanced performance across all application types, the CPU will be the first thing to upgrade.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFpsUltraByGame entries, so all frame rate expectations are estimates based on the benchmark scores. The GPU's 98th percentile ranking and 65.28 TFLOPS of FP32 compute suggest that it will be among the fastest gaming GPUs available, but the CPU's 79th percentile and modest single-thread score of 921 in 3DMark will likely limit frame rates in CPU-bound scenarios.

At 1080p, the CPU will be the primary bottleneck. The 5700X's single-thread performance is adequate but not top-tier, and many modern games are sensitive to single-thread speed. Expect high frame rates, but the GPU will not be fully utilized, and frame pacing may suffer in scenes with many draw calls. At 1440p, the balance shifts slightly toward the GPU, and frame rates should be very high, but still potentially CPU-limited in esports titles. At 4K, the GPU becomes the dominant factor, and the RTX 5000 Ada's compute power and 32 GB of VRAM will allow maximum settings with ray tracing enabled without VRAM constraints. The 576.0 GB/s memory bandwidth and 448.8 GPixel/s pixel rate are more than sufficient for 4K rendering.

Ray tracing performance should be exceptional due to the 100 RT cores, and DLSS (if supported) would be accelerated by the 400 tensor cores. The GPU's Vulkan score of 194,041 suggests strong API-level performance, which is relevant for modern game engines. However, because no measured FPS data exists, these are qualitative estimates grounded in the benchmark scores. Users should expect the GPU to be the star of the show at high resolutions, but they should not expect the CPU to keep pace at lower resolutions. The overall gaming experience will be excellent at 4K, very good at 1440p, and potentially underwhelming at 1080p if the user is chasing extreme refresh rates.

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work. One short paragraph per scenario, citing the numbers that support the verdict

High-refresh gaming: At 1080p or 1440p with a high-refresh monitor, the CPU's single-thread score of 921 in 3DMark and the GPU's 98th percentile standing mean the GPU will often be waiting on the CPU. Frame rates will be high, but the system may not hit the absolute maximum refresh rates in esports titles due to CPU limitations. At 4K, the GPU will be the bottleneck, and the 65.28 TFLOPS of compute will drive very high frame rates, though the lack of measured FPS data means these are estimates.

Streaming: The 8-core/16-thread CPU has a PassMark multithread score of 26,612, which is sufficient for software encoding at moderate bitrates while gaming. The GPU's 400 tensor cores can also accelerate NVENC-like encoding tasks, though the FACT PACK does not specify encoder hardware. The combination of 16 CPU threads and a powerful GPU means streaming at high quality should not significantly impact game performance, especially at higher resolutions where the GPU is already the bottleneck.

Video editing: The CPU's Cinebench R23 multi-core score of 13,184 and the GPU's OpenCL score of 175,286 provide a strong foundation for video editing. Timeline scrubbing and effects rendering will be GPU-accelerated, while export and encoding will use both CPU and GPU resources. The 32 GB of VRAM is ample for 4K and even 8K timelines with multiple layers of effects.

3D rendering: This is the ideal workload for this build. The GPU's 65.28 TFLOPS of FP32 compute and 100 RT cores make it a rendering monster, and the 32 GB of VRAM allows scenes that would exceed the memory capacity of consumer cards. The CPU's multi-threaded score of 13,184 in Cinebench R23 will handle scene preparation and physics simulation, but the GPU will do the heavy lifting during actual rendering.

Software development: The CPU's 8 cores and 16 threads, with a PassMark integer math score of 92,749, will compile code efficiently. The ECC memory support is a benefit for long-running builds. The GPU is overkill for development, but it can be used for GPU-accelerated compute tasks like machine learning training or data processing.

Student and office work: The 65 W TDP CPU is efficient and easy to cool, making the system quiet and power-friendly. The PassMark single-thread score of 3,385 handles office applications with ease. The GPU is massively overpowered for this use case, but for students in engineering or data science programs, the compute capability is there when needed.

FAQ

Q: What is the CPU in this build, and how does it compare to its nearest rivals?

A: The CPU is the AMD Ryzen 7 5700X, an 8-core/16-thread Zen 3 part. Its average benchmark score is 27,578, which is exactly matched by the Intel Core i5-12600K (0% delta), 0.2% ahead of the AMD Ryzen 7 5800, 0.2% behind the AMD Ryzen 5 7600X, and 0.3% behind the Intel Core Ultra 5 125H.

Q: What is the GPU in this build, and how does it rank among all GPUs?

A: The GPU is the NVIDIA RTX 5000 Ada Generation, a workstation card with 32 GB of GDDR6 memory. It sits at the 98th percentile of all GPUs, with an average benchmark score of 184,664. It is 0.5% ahead of the A100 SXM4 80 GB, 1.3% behind the A100 SXM4 40 GB, 1.4% ahead of the RTX PRO 5000 Blackwell, and 3.7% ahead of the RTX 4090 D.

Q: Is there measured FPS data for this build in games?

A: No. The FACT PACK contains no measured FPS data for this exact CPU+GPU combination. All frame rate expectations are estimates based on the benchmark scores of the individual components.

Q: What is the combined percentile of this build?

A: The combined percentile is 89, which places the build in the top 11% of all systems in the database. This is driven primarily by the GPU's 98th percentile ranking, while the CPU sits at the 79th percentile.

Q: What memory technology does the CPU support?

A: The CPU supports DDR4 memory in dual-channel mode, with a theoretical bandwidth of 51.2 GB/s. It also supports ECC memory, which is a feature typically found in workstation or server platforms.

Q: How many RT cores and tensor cores does the GPU have?

A: The GPU has 100 RT cores and 400 tensor cores. These are dedicated hardware blocks for ray tracing and AI-accelerated workloads, respectively.

Q: What is the launch MSRP of the CPU?

A: The CPU had a launch MSRP of $299. The GPU has no listed launch MSRP in the data.

Build Overview

This is a desktop build pairing the AMD Ryzen 7 5700X with the NVIDIA RTX 5000 Ada Generation. The CPU is a mainstream 8-core/16-thread Zen 3 processor with a 65 W TDP and a 79th percentile ranking, while the GPU is a professional workstation card with 32 GB of VRAM, 100 RT cores, 400 tensor cores, and a 98th percentile ranking. The combined percentile is 89, placing the system in the top tier of desktop builds, but the balance is heavily skewed toward the GPU. The CPU is a capable mainstream part that matches or slightly trails mid-range rivals from Intel and AMD, while the GPU is a datacenter-class compute device that outperforms even the RTX 4090 D by 3.7% in average benchmark score. This is a system built for GPU-compute-heavy workloads like 3D rendering, AI inference, and high-resolution ray-traced gaming, where the GPU's 65.28 TFLOPS of FP32 compute and 576.0 GB/s of memory bandwidth can be fully utilized. Users who need CPU-bound performance will find the 5700X adequate but not exceptional, and the lack of measured FPS data means gaming performance is estimated rather than confirmed. Overall, this is a lopsided but highly capable workstation-class desktop.