SYSTEM ANALYZER

Rate My PC: AMD Ryzen 9 7900X + NVIDIA RTX 5000 Ada Generation

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

97 / 100
ULTIMATE READY

Apex Performer

Top 3% 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
95%
VS
GPU
99%
PROCESSOR

AMD Ryzen 9 7900X

53,288 Benchmark Score
Top 5% 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 RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, using the AD102 chip manufactured on a 5 nm TSMC process with 76,300 million transistors across a 609 mm² die. Its memory subsystem is substantial: 32 GB of GDDR6 on a 256-bit bus delivers 576.0 GB/s of bandwidth, with memory clocks at 2250 MHz (18 Gbps effective). The GPU runs at a base clock of 1155 MHz and boosts to 2550 MHz. This is not a gaming-first card, but the specs position it for heavy compute and rendering workloads.

The GPU packs 12,800 shading units, 400 texture mapping units, and 176 ROPs. For ray tracing, it includes 100 RT cores, and for AI-accelerated tasks, it carries 400 tensor cores. Pixel rate stands at 448.8 GPixel/s, texture rate at 1,020.0 GTexel/s, and FP32 throughput at 65.28 TFLOPS, with FP16 also at 65.28 TFLOPS (1:1). This 1:1 FP16/FP32 ratio is notable for mixed-precision workloads, allowing floating-point-heavy rendering and compute tasks to run without throughput penalties.

In benchmark terms, the Geekbench OpenCL score is 175,286 and the Vulkan score is 194,041. These results place the GPU in the 98th percentile of all GPUs, with an average benchmark score of 184,664. That percentile rank is essentially at the top of the consumer and workstation stack — the data shows this GPU outperforms nearly every other option available. When compared directly to rivals, the RTX 5000 Ada sits within a tight cluster: it is 0.5% ahead of the NVIDIA 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 GeForce RTX 4090 D. These deltas are small, meaning the Ada card trades blows with the fastest accelerators in the database.

For rendering, the combination of 100 RT cores and 400 tensor cores means ray-traced scenes and AI denoising pipelines have dedicated hardware. The 32 GB VRAM is the standout feature for large scenes, texture-heavy 3D models, and multi-frame rendering tasks that exceed the memory capacity of typical gaming GPUs. The 576.0 GB/s bandwidth keeps data moving, though it is not the highest bandwidth figure in the database — the A100 SXM4 80 GB, for instance, is a near-peer on average score despite different memory characteristics. The Vulkan score of 194,041 indicates strong cross-API performance, which matters for professional applications that leverage Vulkan compute paths.

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

No measured FPS rows exist for this exact CPU+GPU combination in the FACT PACK. All frame-rate discussion below is estimated from the benchmark scores and percentile positions, not from direct gameplay captures.

The CPU, AMD Ryzen 9 7900X, sits in the 91st percentile of all CPUs with an average benchmark score of 53,288. The GPU sits in the 98th percentile with an average score of 184,664. The combined percentile for the pairing is 95th. This gap — 91st versus 98th — suggests the CPU is the more likely constraint in balanced workloads, though both components are high-end.

Looking at the CPU’s thread scaling, the 3DMark scores show a clear pattern: 2 threads at 2,137, 4 threads at 4,151, 8 threads at 7,798, 16 threads at 10,972, and max threads at 12,536. The scaling from 8 to 16 threads is roughly 40.8% (from 7,798 to 10,972), and from 16 to max threads it is about 14.3% (from 10,972 to 12,536). This diminishing return at higher thread counts indicates the chip’s 12 cores and 24 threads are well-utilized up to about 16 threads, after which additional parallelism yields smaller gains. In gaming, where thread counts often stay below 16, the CPU should keep pace with the GPU in most titles.

The GPU’s FP32 throughput of 65.28 TFLOPS vastly exceeds what even a high-end CPU can feed in compute tasks, so in pure GPU-bound rendering, the RTX 5000 Ada will be the limiting factor only at very high resolutions or with heavy ray tracing. The CPU’s single-thread score of 1,093 in 3DMark and 2,016.5 in Cinebench R23 single-core indicate strong per-core performance, which is critical for game engines that rely on a few main threads.

In mixed workloads — like streaming while gaming — the CPU’s 24 threads handle encoding and game logic concurrently. The PassMark multithread score of 51,406 and the integer math score of 169,273 suggest ample headroom for background tasks. The GPU’s 250 W TDP and the CPU’s 170 W TDP together create a system where the PSU recommendation of 600 W provides headroom, but the balance is more about workload type than wattage: for productivity tasks, the GPU dominates; for lightly-threaded games, the CPU’s single-core strength may be the limiting factor at high frame 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: The GPU’s 98th percentile rank and Vulkan score of 194,041 indicate it can drive high frame rates at demanding settings, while the CPU’s single-thread score of 1,093 in 3DMark and 2,016.5 in Cinebench R23 single-core provide the per-core speed needed for high-refresh gaming. The 12-core, 24-thread CPU with a boost clock of 5.60 GHz ensures that even CPU-bound titles have headroom. However, without measured FPS data, exact frame rates are estimated to be very high at 1440p and 4K based on the 95th combined percentile.

Streaming: The CPU’s 24 threads and PassMark multithread score of 51,406 allow simultaneous game logic and encoding workloads. The CPU’s 3DMark 16-thread score of 10,972 shows strong multi-threaded capacity, and the GPU’s tensor cores can accelerate AI-based encoding or enhancement features. The data suggests a smooth streaming experience with minimal frame drops, though the lack of measured FPS means this is an inference from the benchmark scores.

Video editing: The GPU’s 32 GB VRAM and 65.28 TFLOPS FP32 throughput handle 4K or 8K timelines, color grading, and effects. The Geekbench OpenCL score of 175,286 indicates strong compute acceleration for effects rendering. The CPU’s Cinebench R23 multicore score of 29,300 supports fast export encoding, and the 83.2 GB/s memory bandwidth on the CPU side helps with large media files.

3D rendering: The RTX 5000 Ada’s 100 RT cores and 400 tensor cores accelerate ray tracing and AI denoising. The GPU’s average benchmark score of 184,664, in the 98th percentile, means render times will be short for most scenes. The 32 GB VRAM is critical for scenes that exceed 8–16 GB, and the 576.0 GB/s bandwidth moves geometry and textures efficiently. The CPU’s 12 cores at 5.60 GHz boost contribute to scene preparation and simulation tasks.

Software development: The CPU’s PassMark integer math score of 169,273 and extended instructions score of 47,619 indicate strong compilation and code-analysis performance. The 24 threads allow parallel builds, and the 64 MB shared L3 cache reduces latency for frequently accessed data. The GPU is overkill for most dev tasks but accelerates shader compilation and machine learning model training if needed.

Student and office work: This pairing is far beyond the needs of typical office tasks. The CPU’s single-thread score of 4,238 in PassMark ensures snappy document editing and web browsing, while the GPU’s 98th percentile rank is wasted on spreadsheets. The 32 GB VRAM and 65.28 TFLOPS are irrelevant for word processing, but the system would never bottleneck on any office workload. The ECC memory support on the CPU side adds reliability for data-critical tasks.

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 targets professionals and enthusiasts who need top-tier compute without compromise. For gamers at 4K resolution, the GPU’s 98th percentile rank and the combined 95th percentile ensure maximum settings are feasible, though the CPU’s 91st percentile may be the limiter at 1080p high-refresh. Content creators working with 3D scenes, video timelines, or AI models benefit from the 32 GB VRAM and 400 tensor cores — the average benchmark score of 184,664 confirms this GPU outperforms nearly all alternatives. Developers compiling large codebases will appreciate the CPU’s integer math score of 169,273 and 24 threads, which reduce build times. Students in engineering or data science fields who run simulations or train small models will find the 12-core CPU and massive GPU memory sufficient for coursework, though the system is overprovisioned for general study. Small business workstations running rendering farms, CAD, or data analysis will see the 95th combined percentile translate to reduced wait times and higher throughput. The GPU’s predecessor is Workstation Ampere and successor is Blackwell PRO W, indicating this is a mature workstation architecture. The 4x DisplayPort 1.4a outputs support multi-monitor professional setups, and the dual-slot, 267 mm length fits standard workstation cases.

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

The CPU uses AMD Socket AM5, which is the current desktop platform. Memory support is DDR5 dual-channel with 83.2 GB/s bandwidth, and ECC memory is supported — a feature useful for workstation reliability. The CPU provides PCIe Gen 5 with 24 lanes, while the GPU uses PCIe 4.0 x16. This means the GPU is not bandwidth-limited by the interface, and the CPU’s Gen 5 lanes offer headroom for future NVMe storage or other accelerators.

The GPU’s suggested PSU is 600 W, with a TDP of 250 W. The CPU has a TDP of 170 W. Combined, the system draws roughly 420 W under full load, leaving about 180 W of headroom on a 600 W PSU for drives, fans, and peripherals. A larger PSU would be unnecessary unless adding a second GPU or many storage devices. The GPU uses a 1x 16-pin power connector, which is standard for modern high-end cards.

A sensible next upgrade would be a newer GPU in the same PCIe 4.0 slot, as the platform supports it. The CPU’s AM5 socket allows future Ryzen 7000-series or later chips, though the current 7900X with 12 cores and 5.60 GHz boost is already strong. The 64 MB L3 cache and 5 nm process node leave little room for meaningful CPU improvement within the same generation. For most users, the bottleneck would be the GPU in compute tasks, so upgrading to a Blackwell PRO W successor (the GPU’s successor) would be the logical path if more performance is needed. The platform’s ECC memory support and dual-channel bandwidth are adequate for the current pairing, so memory upgrades would only matter for capacity, not speed.

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

Q: What is the CPU’s architecture and process node?

A: The AMD Ryzen 9 7900X uses the Zen 4 architecture (codenamed Raphael) on a 5 nm TSMC process, with 13,140 million transistors across a 2x 71 mm² die.

Q: How much VRAM does the GPU have, and what is its bandwidth?

A: The RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s bandwidth with 18 Gbps effective memory speed.

Q: What are the CPU’s core and thread counts?

A: The CPU has 12 cores and 24 threads, with a base clock of 4.70 GHz and a boost clock of 5.60 GHz, and a TDP of 170 W.

Q: How does the GPU compare to the A100 SXM4 80 GB?

A: The RTX 5000 Ada Generation is 0.5% ahead of the NVIDIA A100 SXM4 80 GB in average benchmark score (184,664 vs 183,725).

Q: Does the CPU support ECC memory?

A: Yes, the Ryzen 9 7900X supports ECC memory, and it uses dual-channel DDR5 with 83.2 GB/s bandwidth.

Q: What is the GPU’s percentile rank and average score?

A: The GPU is in the 98th percentile of all GPUs, with an average benchmark score of 184,664 from Geekbench OpenCL (175,286) and Vulkan (194,041) tests.

Q: What is the recommended PSU for this GPU?

A: The suggested PSU for the RTX 5000 Ada Generation is 600 W, while the GPU itself has a TDP of 250 W and uses a 1x 16-pin power connector.

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

The AMD Ryzen 9 7900X is a 12-core, 24-thread desktop processor from the 7000 series, built on the Zen 4 architecture (Raphael) using a 5 nm TSMC process with 13,140 million transistors. The base clock is 4.70 GHz, boosting to 5.60 GHz, with a TDP of 170 W. It fits in AMD Socket AM5, supports dual-channel DDR5 memory at 83.2 GB/s bandwidth, and includes ECC memory support. The cache hierarchy is: 64 KB L1 per core, 1 MB L2 per core, and 64 MB shared L3. It also has integrated Radeon Graphics, which is unusual for a high-end desktop CPU and provides a fallback display output.

Benchmark results show a CPU that scales well with threads. The 3DMark scores climb from 2,137 at 2 threads to 12,536 at max threads, with the 16-thread score at 10,972. Cinebench R23 multicore hits 29,300, while single-core is 2,016.5. Geekbench multicore is 19,267 and single-core is 2,617. PassMark multithread is 51,406, with single-thread at 4,238. The integer math score of 169,273 and floating-point math of 103,952 indicate strong general compute, while data compression at 632,505 and encryption at 37,263 show specific strengths in those areas.

The CPU’s percentile rank of 91st among all CPUs, with an average benchmark score of 53,288, places it in the upper tier. Its nearest rivals include the AMD EPYC 7313P (0.2% ahead), Intel Xeon Phi 7290 (0.3% behind), Intel Xeon 634 (0.6% ahead), and Intel Core i7-14700F (0.6% behind). These tiny deltas mean the 7900X is effectively in a performance class with server and high-end desktop chips. For real workloads, the 12 cores handle multi-threaded tasks like video encoding, 3D simulation, and compilation, while the 5.60 GHz boost clock ensures snappy single-threaded response in games and office apps. The 64 MB L3 cache reduces memory latency for data-heavy tasks. The integrated graphics provide a backup display, but the system is clearly designed to pair with a discrete GPU.

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 combining the AMD Ryzen 9 7900X CPU with the NVIDIA RTX 5000 Ada Generation GPU. The build class is desktop, confirming this is a stationary workstation or high-end gaming tower, not a laptop configuration. The combined percentile is 95th, meaning this pairing outperforms 95% of all recorded CPU+GPU combinations in the database. The CPU is in the 91st percentile and the GPU in the 98th, so the pairing is slightly more GPU-heavy in terms of relative performance — the GPU is more exceptional than the CPU relative to their respective pools.

The CPU is a 12-core, 24-thread Zen 4 processor with a 5.60 GHz boost clock and 170 W TDP. The GPU is a workstation-class Ada Lovelace card with 32 GB VRAM, 100 RT cores, 400 tensor cores, and a 250 W TDP. The suggested PSU is 600 W, which covers the combined 420 W draw from CPU and GPU with headroom. This is a high-end desktop workstation pairing, not a typical gaming rig — the GPU’s 32 GB VRAM and 65.28 TFLOPS FP32 throughput are aimed at professional rendering, AI, and compute tasks. The CPU’s ECC memory support and 64 MB L3 cache reinforce the workstation orientation. The build does not have measured FPS data, so its gaming performance is estimated from the 95th combined percentile, which suggests it would be excellent for high-refresh gaming at 1440p or 4K, but the primary use case is professional content creation and scientific computing.

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

The CPU’s average benchmark score is 53,288, placing it in the 91st percentile of all CPUs. Its key scores include Cinebench R23 multicore at 29,300 and single-core at 2,016.5, Geekbench multicore at 19,267 and single-core at 2,617, and PassMark multithread at 51,406 with single-thread at 4,238. The 3DMark thread scaling shows 2,137 at 2 threads, 4,151 at 4 threads, 7,798 at 8 threads, 10,972 at 16 threads, and 12,536 at max threads.

The GPU’s average benchmark score is 184,664, placing it in the 98th percentile of all GPUs. Its Geekbench OpenCL score is 175,286 and Vulkan score is 194,041. The GPU 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 GeForce RTX 4090 D.

The combined percentile is 95th, which is lower than the GPU’s 98th but higher than the CPU’s 91st — this reflects that the pairing’s overall performance is limited by the CPU in some workloads. No measured FPS data exists for this exact combination, so all frame-rate estimates are derived from these benchmark scores. The CPU’s single-thread score of 1,093 in 3DMark and 2,016.5 in Cinebench R23 suggest it can keep up with the GPU in most games, but the GPU’s raw compute (65.28 TFLOPS) far exceeds what the CPU can feed in pure compute tasks. In the 3DMark max-threads test, the CPU scores 12,536, which is about 14.3% higher than its 16-thread score of 10,972 — indicating the 24 threads provide only modest additional scaling beyond 16 threads. This means in games that use 8–16 threads, the CPU is strong; in heavily multi-threaded productivity apps, it still performs well but with diminishing returns at the highest thread counts. The combined picture is a system that is GPU-bound in rendering and compute, CPU-bound in lightly-threaded games, and well-balanced for mixed workloads like streaming while gaming or video editing with background tasks.