SYSTEM ANALYZER

Rate My PC: AMD Ryzen 9 7900X + NVIDIA RTX 4000 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 4000 Ada Generation

135,218 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

# Balance and Bottleneck

The AMD Ryzen 9 7900X paired with the NVIDIA RTX 4000 Ada Generation creates a desktop configuration where the CPU and GPU occupy very different performance tiers, and the data indicates a workload-dependent balance rather than a uniform one. The CPU sits at the 91st percentile among all CPUs, while the GPU reaches the 95th percentile among all GPUs, and the combined platform percentile is 93. This three-point gap suggests the GPU is slightly stronger relative to its own field than the CPU is relative to its field, but the difference is small enough that neither component is an obvious bottleneck across the board.

Looking at the CPU’s thread-scaling curve provides the clearest evidence of where bottlenecks emerge. The 3DMark scores scale from 1,093 in single-thread, to 2,137 in 2-thread, 4,151 in 4-thread, 7,798 in 8-thread, 10,972 in 16-thread, and 12,536 in max-thread tests. The scaling from 8 to 16 threads is a 40.7% increase, and from 16 to max threads it is only 14.3%. This indicates that the 12-core, 24-thread processor has diminishing returns beyond 16 threads, which is typical for a desktop part with a 170 W TDP. In lightly threaded workloads, the single-thread score of 1,093 and the 2-thread score of 2,137 show that the CPU’s 4.70 GHz base and 5.60 GHz boost clocks provide strong per-core performance, meaning the CPU is not the limiting factor in latency-sensitive tasks.

The GPU’s FP32 throughput of 26.73 TFLOPS and its memory bandwidth of 360.0 GB/s place it well above the CPU’s memory bandwidth of 83.2 GB/s, which is a system-level constraint. In memory-bound scenarios, the CPU’s dual-channel DDR5 interface with 83.2 GB/s of bandwidth is far lower than the GPU’s 360.0 GB/s, so any workload that streams large datasets between CPU and GPU will be limited by the CPU’s memory subsystem. For gaming, where the GPU typically drives frames, the RTX 4000 Ada Generation’s pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s are sufficient to keep up with the CPU’s per-core performance, and the 20 GB of VRAM ensures that texture-heavy scenes do not spill into system memory.

In compute-heavy tasks like 3D rendering or scientific simulation, the CPU’s multi-threaded Cinebench R23 score of 29,300 and Geekbench multicore score of 19,267 indicate strong parallel throughput, but the GPU’s 26.73 TFLOPS of FP32 performance will dominate in GPU-accelerated workloads. The data suggests that the CPU becomes the bottleneck in GPU-accelerated tasks only when the data transfer rate exceeds the CPU’s 83.2 GB/s memory bandwidth, which is rare in practice. The GPU’s 192 tensor cores and 48 RT cores provide specialized acceleration that the CPU cannot match, so in AI inference or ray tracing, the GPU is the clear performance driver.

# Benchmark Performance

The benchmark data for this pairing shows a high-performing desktop system with a combined percentile of 93. The CPU’s average benchmark score is 53,288, which places it at the 91st percentile among all CPUs. Its nearest rivals are the AMD EPYC 7313P with an average score of 53,206 (a 0.2% difference), the Intel Xeon Phi 7290 at 53,469 (0.3% higher), the Intel Xeon 634 at 52,974 (0.6% lower), and the Intel Core i7-14700F at 53,620 (0.6% higher). This tight cluster means the Ryzen 9 7900X is essentially performance-equivalent to those parts, with the largest gap being only 0.6% against the Intel Core i7-14700F.

The GPU’s average benchmark score is 135,218, placing it at the 95th percentile among all GPUs. Its nearest rivals are the NVIDIA A10M at 135,230 (a 0.0% difference), the AMD Radeon PRO W6800 at 135,396 (0.1% higher), the AMD Radeon Pro W6800X Duo at 135,774 (0.4% higher), and the AMD Radeon PRO V620 at 136,472 (0.9% higher). The GPU is within 0.9% of all four rivals, indicating that it sits in a highly competitive performance band.

The GPU’s individual benchmark scores are 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan. The OpenCL score is 18.4% higher than the Vulkan score, suggesting that the GPU is better optimized for compute workloads that use OpenCL, which is common in professional rendering and simulation applications. For gaming, Vulkan is more relevant, and the 123,842 score still indicates strong performance, but the gap suggests a slight preference for compute-oriented APIs.

The CPU’s benchmark scores show a balanced profile. Cinebench R23 multicore is 29,300 and single-core is 2,016.5, giving a multicore-to-single-core ratio of 14.5x, which reflects the 12-core, 24-thread design. Geekbench multicore is 19,267 and single-core is 2,617, a ratio of 7.4x, which is lower because Geekbench’s scaling is less aggressive. PassMark multi-thread is 51,406 and single-thread is 4,238, a ratio of 12.1x. The PassMark integer math score of 169,273 and floating-point math score of 103,952 show that integer operations are 62.8% faster, which is typical for a general-purpose CPU. The data encryption score of 37,263 and compression score of 632,505 indicate that the CPU handles data-intensive tasks well, but the extended instructions score of 47,619 and prime number finding score of 388 suggest that specialized workloads like cryptography or prime sieving are not the CPU’s strongest areas.

# CPU Analysis

The AMD Ryzen 9 7900X is a 12-core, 24-thread desktop processor built on the Zen 4 architecture with the Raphael codename, manufactured on TSMC’s 5 nm process with 13,140 million transistors across a 2x 71 mm² die configuration. The base clock is 4.70 GHz and the boost clock is 5.60 GHz, with a 170 W TDP. The cache hierarchy consists of 64 KB of L1 per core, 1 MB of L2 per core, and 64 MB of shared L3 cache. The CPU supports DDR5 memory in a dual-channel configuration with 83.2 GB/s of bandwidth, and it includes ECC memory support. It uses AMD Socket AM5 and provides PCIe Gen 5 with 24 lanes from the CPU. The integrated Radeon Graphics provide basic display output, but the presence of a discrete GPU means the iGPU is largely redundant.

The benchmark scores reveal a processor that is strongest in multi-threaded workloads but also competitive in single-thread. The Cinebench R23 multicore score of 29,300 places it in the upper echelon of desktop CPUs, and the single-core score of 2,016.5 shows strong per-core performance. The 3DMark thread scaling from 1,093 (single) to 12,536 (max) demonstrates that the CPU scales well up to 16 threads, with a 40.7% gain from 8 to 16 threads, but only a 14.3% gain from 16 to max threads. This indicates that the 24-thread count provides diminishing returns beyond 16 threads, which is relevant for workloads that cannot utilize all threads efficiently.

For real workloads, the PassMark scores provide insight. The multi-thread score of 51,406 is high, and the integer math score of 169,273 suggests strong performance in general computation, database operations, and code compilation. The floating-point math score of 103,952 is lower relative to integer math, which is expected for a CPU without dedicated vector units beyond the standard AVX-512 support implied by Zen 4. The data compression score of 632,505 is excellent, indicating that the CPU handles archiving and file compression tasks quickly. The data encryption score of 37,263 is moderate, meaning that encryption-heavy tasks like VPN gateways or secure file transfers will be adequate but not exceptional. The extended instructions score of 47,619 shows good SIMD performance, and the random string sorting score of 74,658 indicates solid sorting and data processing capabilities.

The CPU’s position at the 91st percentile, with an average benchmark score of 53,288, places it just above the AMD EPYC 7313P (53,206) and Intel Xeon 634 (52,974), but just below the Intel Xeon Phi 7290 (53,469) and Intel Core i7-14700F (53,620). The delta percentages are all within 0.6%, meaning that in practical terms, the Ryzen 9 7900X is indistinguishable from these rivals in average performance. This suggests that for most workloads, the choice between these CPUs comes down to platform features rather than raw speed.

# Who Should Build It

This desktop configuration targets users who need strong performance in both CPU-bound and GPU-bound tasks, but with a slight emphasis on GPU compute. The combined percentile of 93 indicates that this system outperforms 93% of all recorded desktop configurations, making it suitable for demanding professional workflows.

Gamers at high resolutions will benefit from the GPU’s 95th percentile position and 20 GB of VRAM. The GPU’s 360.0 GB/s memory bandwidth and 139.2 GPixel/s pixel rate ensure that 4K gaming with high-detail textures is viable, and the 20 GB VRAM capacity prevents texture streaming bottlenecks in modern titles. The CPU’s single-thread score of 1,093 in 3DMark and 2,016.5 in Cinebench R23 ensures that frame pacing remains consistent, even in CPU-heavy scenes.

Content creators working with video editing or 3D rendering will find the combination strong. The CPU’s Cinebench R23 multicore score of 29,300 handles video encoding and rendering, while the GPU’s 26.73 TFLOPS of FP32 performance accelerates GPU-based renderers. The GPU’s 48 RT cores and 192 tensor cores provide hardware acceleration for ray tracing and AI denoising, which are common in modern rendering pipelines.

Software developers will appreciate the CPU’s 12 cores and 24 threads, with a PassMark multi-thread score of 51,406 that speeds up code compilation. The 64 MB of L3 cache and 83.2 GB/s memory bandwidth reduce compilation times for large codebases. The GPU’s Vulkan score of 123,842 indicates strong compute performance for shader compilation and GPU-accelerated testing.

Students and small business workstations may find this system overkill for basic tasks, but the high single-thread performance (Cinebench R23 single-core of 2,016.5) ensures snappy response in office applications. The ECC memory support is a differentiator for users who require data integrity in financial or scientific work. The single-slot GPU design with a 130 W TDP and 300 W suggested PSU makes it suitable for compact workstation builds where space and power are constrained.

# GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation GPU based on the Ada Lovelace architecture, using the AD104 chip manufactured on TSMC’s 5 nm process with 35,800 million transistors on a 294 mm² die. It has 6,144 shading units, 192 texture mapping units, and 64 render output units, along with 48 RT cores and 192 tensor cores. The base clock is 1500 MHz and the boost clock is 2175 MHz, with a memory clock of 2250 MHz (18 Gbps effective). The memory configuration is 20 GB of GDDR6 on a 160-bit bus, providing 360.0 GB/s of bandwidth. The TDP is 130 W, with a single-slot design and a 1x 16-pin power connector, requiring a suggested PSU of 300 W.

The GPU’s benchmark scores are 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan, with an average score of 135,218, placing it at the 95th percentile among all GPUs. The nearest rivals are all within 0.9% of its average score, indicating that the RTX 4000 Ada Generation is competitively positioned against the NVIDIA A10M, AMD Radeon PRO W6800, AMD Radeon Pro W6800X Duo, and AMD Radeon PRO V620.

The FP32 performance of 26.73 TFLOPS is identical to the FP16 performance of 26.73 TFLOPS (1:1 ratio), which is unusual for a workstation GPU and indicates that the GPU does not have dedicated half-precision acceleration that doubles throughput. This means that for FP16 workloads, the GPU performs at the same rate as FP32, which is a consideration for AI inference that typically uses FP16. However, the 192 tensor cores provide dedicated acceleration for matrix operations, so AI workloads will still benefit from the tensor core throughput.

The pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s are strong for a 130 W GPU, indicating that the GPU can handle high-resolution rendering with complex textures. The 360.0 GB/s memory bandwidth is moderate compared to higher-end workstation GPUs, but the 20 GB VRAM capacity is generous for large datasets. The 160-bit memory bus is narrower than typical workstation GPUs, but the GDDR6 memory at 18 Gbps effective compensates with higher clock speeds.

The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, providing broad API compatibility. The 4x DisplayPort 1.4a outputs allow for multi-monitor setups, and the PCIe 4.0 x16 interface is sufficient for data transfer, though it is one generation behind the CPU’s PCIe Gen 5 support. The GPU’s dimensions of 245 mm in length and 112 mm in height make it a compact single-slot card, suitable for space-constrained workstation builds.

# Gaming Performance

No measured FPS data exists for this exact CPU-GPU combination in the FACT PACK. The dataIsMeasured field is false, and measuredFpsUltraByGame is empty, so all frame rate expectations must be estimated from the benchmark scores. The GPU’s 95th percentile position and the CPU’s 91st percentile position suggest that this system is capable of high-refresh-rate gaming, but the lack of measured data means exact FPS figures cannot be provided.

The GPU’s Geekbench Vulkan score of 123,842 indicates strong gaming performance, as Vulkan is a common API in modern game engines. The OpenCL score of 146,593 is higher, but OpenCL is less relevant for gaming. The GPU’s 20 GB VRAM and 360.0 GB/s memory bandwidth are sufficient for 4K textures and high-resolution rendering, but the 160-bit memory bus may limit performance in memory-bandwidth-intensive scenarios.

The CPU’s single-thread performance, with a 3DMark single-thread score of 1,093 and a Cinebench R23 single-core score of 2,016.5, ensures that the CPU can keep up with the GPU’s frame generation. The 2-thread score of 2,137 and 4-thread score of 4,151 indicate that the CPU handles lightly threaded games well, which is common for many esports titles. For multi-threaded games that use 8 or more threads, the CPU’s 8-thread score of 7,798 and 16-thread score of 10,972 show strong scaling.

Given the GPU’s 26.73 TFLOPS of FP32 performance and the CPU’s high single-thread scores, this system is expected to deliver high frame rates at 1080p and 1440p, with playable performance at 4K in most titles. The GPU’s 48 RT cores support ray tracing, and the 192 tensor cores enable DLSS-style upscaling, which can boost frame rates in supported games. However, without measured FPS data, these expectations remain estimates based on the benchmark scores and should be treated as approximate.

# Usage Scenarios

High-refresh gaming: The GPU’s 95th percentile position and the CPU’s 91st percentile position indicate that this system can drive high-refresh-rate monitors at 1080p and 1440p. The CPU’s single-thread score of 1,093 in 3DMark ensures that frame pacing is consistent, while the GPU’s 139.2 GPixel/s pixel rate handles the rendering load. At 4K, the 20 GB VRAM prevents texture-related stutters, but exact FPS depends on the game and settings.

Streaming: The CPU’s 12 cores and 24 threads, with a PassMark multi-thread score of 51,406, provide ample headroom for encoding while gaming. The GPU’s NVENC encoder (implied by the Ada Lovelace architecture) offloads encoding from the CPU, and the 192 tensor cores can handle AI-based encoding enhancements. The combined percentile of 93 ensures that streaming and gaming can run concurrently without significant performance drops.

Video editing: The CPU’s Cinebench R23 multicore score of 29,300 accelerates video encoding and timeline rendering, while the GPU’s 26.73 TFLOPS of FP32 performance accelerates GPU-accelerated effects and color grading. The 20 GB VRAM is sufficient for 4K video timelines with multiple layers, and the 360.0 GB/s memory bandwidth handles large frame buffers.

3D rendering: The GPU’s 48 RT cores and 192 tensor cores provide hardware acceleration for ray-traced rendering and AI denoising, which are common in Blender, Maya, and Unreal Engine. The CPU’s 64 MB of L3 cache and 83.2 GB/s memory bandwidth support scene data, and the 12 cores handle CPU-based rendering fallbacks.

Software development: The CPU’s PassMark integer math score of 169,273 and multi-thread score of 51,406 speed up code compilation, while the 64 MB L3 cache reduces cache misses in large codebases. The ECC memory support ensures data integrity during long compilation runs, and the GPU’s Vulkan score of 123,842 supports GPU-accelerated testing and shader compilation.

Student and office work: The CPU’s single-thread performance, with a Cinebench R23 single-core score of 2,016.5 and a PassMark single-thread score of 4,238, ensures snappy response in office applications. The integrated Radeon Graphics provide a fallback if the discrete GPU is disabled, and the 170 W CPU TDP plus 130 W GPU TDP means a 300 W PSU is sufficient, keeping the system efficient for daily use.

# FAQ

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

A: The combined percentile is 93, meaning this desktop configuration outperforms 93% of recorded systems in the database.

Q: How does the Ryzen 9 7900X compare to its nearest rival, the Intel Core i7-14700F?

A: The Ryzen 9 7900X has an average benchmark score of 53,288, while the Intel Core i7-14700F has a score of 53,620, making the Intel part 0.6% faster.

Q: What is the memory bandwidth of the RTX 4000 Ada Generation?

A: The GPU has a memory bandwidth of 360.0 GB/s, using 20 GB of GDDR6 memory on a 160-bit bus.

Q: Does the CPU support ECC memory?

A: Yes, the Ryzen 9 7900X supports ECC memory, which is beneficial for data integrity in workstation applications.

Q: What is the TDP of the GPU and the suggested PSU requirement?

A: The GPU has a TDP of 130 W, and the suggested PSU is 300 W.

Q: How do the GPU’s OpenCL and Vulkan scores compare?

A: The GPU scores 146,593 in Geekbench OpenCL and 123,842 in Geekbench Vulkan, indicating that OpenCL performance is 18.4% higher.

Q: What is the CPU’s boost clock and base clock?

A: The base clock is 4.70 GHz and the boost clock is 5.60 GHz.

# Build Overview

This is a desktop-class build combining the AMD Ryzen 9 7900X CPU with the NVIDIA RTX 4000 Ada Generation GPU. The CPU is a 12-core, 24-thread processor from the 7000 series, based on the Zen 4 architecture, and the GPU is a workstation-class card based on the Ada Lovelace architecture. The combined percentile of 93 places this system in the top 7% of all recorded desktop configurations, indicating a high-performance tier suitable for professional and enthusiast use.

The CPU’s 91st percentile and the GPU’s 95th percentile mean that the GPU is slightly stronger relative to its own field, but both components are in the upper echelon. The CPU’s average benchmark score of 53,288 and the GPU’s average score of 135,218 combine to produce a balanced system where neither component is a clear weak link. The build class is desktop, confirming that this is a stationary workstation or gaming rig rather than a mobile solution.

# Upgrade Path and Platform

The CPU uses AMD Socket AM5, which is the platform for the 7000 series and supports DDR5 memory in a dual-channel configuration. The memory bandwidth is 83.2 GB/s, and ECC memory is supported. The CPU provides 24 PCIe Gen 5 lanes, which is one generation ahead of the GPU’s PCIe 4.0 x16 interface. This means the GPU is currently limited to PCIe 4.0 speeds, but a future GPU that supports PCIe Gen 5 would take advantage of the CPU’s full lane bandwidth.

The GPU has a TDP of 130 W and requires a 300 W suggested PSU, while the CPU has a 170 W TDP. This means the total system power draw is within the range of a 300 W PSU, but a higher-wattage PSU would provide headroom for overclocking or additional components. The CPU has an unlocked multiplier, allowing for overclocking, which would increase power consumption beyond the 170 W TDP.

A sensible next upgrade would be a newer GPU that supports PCIe Gen 5, as the CPU’s 24 lanes of PCIe Gen 5 are currently underutilized by the GPU’s PCIe 4.0 interface. The CPU’s socket AM5 platform is current, so a CPU upgrade would likely require a motherboard change if moving to a different socket. The memory support for DDR5 is current, and the 83.2 GB/s bandwidth is adequate for most workloads, though a higher-capacity memory kit could improve performance in memory-bound tasks. The 20 GB VRAM on the GPU is generous, so a GPU upgrade would only be necessary for workloads that exceed 20 GB of VRAM or require higher FP32 throughput than 26.73 TFLOPS.