SYSTEM ANALYZER

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

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

96 / 100
ULTIMATE READY

Apex Performer

Top 4% 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
94%
VS
GPU
99%
PROCESSOR

AMD Ryzen 9 7900

49,228 Benchmark Score
Top 6% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 SFF Ada Generation

117,088 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 9 7900 and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that targets high-performance workstation and content-creation workloads. The CPU, a 12-core Zen 4 part, and the GPU, a compact workstation-class accelerator, deliver a combined benchmark percentile of 93, placing this configuration above the vast majority of desktop systems. This analysis examines the individual component data, their combined performance picture, and the specific usage scenarios where this pairing excels.

FAQ

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

A: The combined percentile of the AMD Ryzen 9 7900 and NVIDIA RTX 4000 SFF Ada Generation is 93, indicating it outperforms 93% of all tracked desktop configurations in the database.

Q: How does the Ryzen 9 7900 compare to its nearest rival, the Intel Core i5-14600KF?

A: The Ryzen 9 7900 has an average benchmark score of 49228, which is 0.3% lower than the Intel Core i5-14600KF's score of 49394. This places the two processors within statistical noise of each other in average performance.

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

A: The GPU features 20 GB of GDDR6 memory on a 160-bit bus, providing a memory bandwidth of 280.0 GB/s.

Q: What is the TDP of the CPU and what power supply is suggested for the GPU?

A: The AMD Ryzen 9 7900 has a TDP of 65 W. The NVIDIA RTX 4000 SFF Ada Generation has a TDP of 70 W, and the suggested PSU rating for the GPU is 250 W.

Q: What are the single-threaded and multi-threaded Cinebench R23 scores for the Ryzen 9 7900?

A: The Ryzen 9 7900 scores 1966 points in Cinebench R23 single-core and 24776 points in Cinebench R23 multi-core.

Q: What is the PCIe interface for the RTX 4000 SFF Ada Generation?

A: The GPU uses a PCIe 4.0 x16 bus interface. The CPU supports PCIe Gen 5 with 24 lanes.

Q: Does the CPU have integrated graphics?

A: Yes, the AMD Ryzen 9 7900 includes integrated Radeon Graphics, which can be useful for troubleshooting or basic display output without a discrete GPU.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU built on the Ada Lovelace architecture and the AD104 chip, manufactured on a 5 nm process at TSMC. It houses 35,800 million transistors on a 294 mm² die. The GPU is equipped with 6144 shading units, 192 texture mapping units, and 64 ROPs. For accelerated compute, it includes 48 RT cores and 192 tensor cores, which are essential for ray tracing and AI-driven workloads like DLSS and machine learning inference.

Memory configuration is a key differentiator for this card. It offers 20 GB of GDDR6 memory on a 160-bit bus, yielding a bandwidth of 280.0 GB/s. This capacity is substantial for large datasets, high-resolution textures, and complex 3D scenes that exceed the VRAM limits of many consumer cards. The clock speeds are listed as a base of 720 MHz and a boost of 1560 MHz, with memory running at 1750 MHz (14 Gbps effective). The compute throughput is rated at 19.17 TFLOPS for both FP32 and FP16 (1:1), making it a balanced performer for single-precision and half-precision workloads. Pixel and texture rates are 99.84 GPixel/s and 299.5 GTexel/s, respectively.

Benchmark data shows strong synthetic performance. The GPU scores 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan. Its average benchmark score is 117088, placing it in the 95th percentile of all GPUs. Compared to its nearest rivals, it is 0.3% slower than the NVIDIA GB10 (score 117393) and 1.6% slower than the AMD Radeon PRO W7700 (score 118976). However, it is 2.4% faster than the NVIDIA Tesla V100 SXM2 16 GB (score 114395) and 2.8% faster than the NVIDIA RTX A5500 Mobile (score 113944). For rendering, these scores suggest the card is well-suited for GPU-accelerated renderers that leverage CUDA or OptiX, with the 20 GB VRAM buffer being a significant advantage for scenes that would otherwise spill into system memory.

Benchmark Performance

The AMD Ryzen 9 7900 delivers a robust set of benchmark results. In 3DMark tests, it scores 1069 in single-thread, 2067 in 2-thread, 3994 in 4-thread, 7454 in 8-thread, 10056 in 16-thread, and 10953 in max-thread tests. This scaling from 2 to 12 cores shows excellent multi-threading efficiency. In Cinebench, the CPU achieves 315 points in R15 single-core and 4020 in R15 multi-core, with R23 scores of 1966 single-core and 24776 multi-core. Geekbench results show 2495 single-core and 17726 multi-core. The Passmark suite reinforces this profile: single-thread score of 4130, multithread score of 48347, integer math at 164075, and floating-point math at 97943. The average benchmark score for the CPU is 49228, placing it in the 90th percentile of all CPUs.

The CPU’s nearest rivals illustrate its competitive position. It is 0.1% faster than the AMD Ryzen 7 PRO 5755G (avg score 49196) and 0.5% faster than the Intel Core Ultra 5 245 (avg score 48995). It is 1.1% faster than the Intel Xeon Gold 5318H (avg score 48698). However, it trails the Intel Core i5-14600KF by 0.3% (avg score 49394). These deltas are minimal, indicating the Ryzen 9 7900 sits at the top of its performance tier.

The combined picture is one of a highly capable workstation. The CPU’s 90th percentile and the GPU’s 95th percentile result in a combined percentile of 93. The data shows no significant bottleneck on either side for general compute tasks. The CPU provides ample multi-threaded throughput for simulation and compilation, while the GPU offers high compute density for rendering and AI inference. The pair is designed for balanced, sustained professional workloads.

Upgrade Path and Platform

The AMD Ryzen 9 7900 is built for the AMD Socket AM5 platform. This socket supports DDR5 memory in a dual-channel configuration, with a theoretical memory bandwidth of 83.2 GB/s. The platform also supports ECC memory, which is a critical feature for data integrity in workstation environments. The CPU itself provides 24 PCIe Gen 5 lanes, ensuring high-bandwidth connectivity for the latest NVMe SSDs and expansion cards.

The GPU connects via PCIe 4.0 x16, which is fully compatible with the CPU’s PCIe Gen 5 lanes. The RTX 4000 SFF Ada Generation is a low-power, dual-slot card with a TDP of 70 W and no power connectors required. The suggested PSU for the GPU is 250 W, which is modest and leaves significant headroom for additional components. The card’s physical dimensions are 168 mm in length (6.6 inches) and 69 mm in height (2.7 inches), making it suitable for compact workstation chassis.

A sensible next upgrade would focus on memory capacity and storage. Given the CPU’s support for DDR5 and ECC, populating the board with high-capacity ECC modules would enhance stability for long-running tasks. The 20 GB VRAM on the GPU is already substantial, but adding more system RAM would allow for larger datasets to be loaded into memory. The platform’s PCIe Gen 5 support future-proofs the system for next-generation storage devices. Since the GPU requires no auxiliary power, the power supply headroom is generous, allowing for additional drives or PCIe cards without concern.

Gaming Performance

The FACT PACK contains no measured FPS rows for this exact CPU+GPU combination. Therefore, all FPS figures discussed here are estimates derived from the benchmark scores.

The RTX 4000 SFF Ada Generation is a workstation GPU, but its Ada Lovelace architecture includes 48 RT cores and 192 tensor cores, which are the same hardware components used in consumer GeForce RTX 40-series cards. The GPU scores 124812 in Geekbench OpenCL, which is a strong indicator of raw compute power. For gaming, this translates to high frame rates at 1080p and 1440p in most titles. The 20 GB VRAM is more than sufficient for high-resolution textures at 4K, avoiding memory-related stutters.

However, the GPU’s design priorities are not gaming-optimized. The base clock of 720 MHz is low, and the boost clock of 1560 MHz is conservative compared to consumer gaming cards. The 280.0 GB/s memory bandwidth, while adequate, is narrower than high-end gaming GPUs. Consequently, frame rates in esports titles will be very high, but the card may not match the absolute peak performance of a larger, higher-clocked gaming GPU in the same price segment. At 4K, users can expect playable frame rates in AAA titles with adjustments to settings, relying on DLSS (via tensor cores) to boost performance where supported. The data suggests a capable 1080p and 1440p gaming experience, with 4K being viable but not the primary focus.

Who Should Build It

This system targets professionals and prosumers who need a balance of high CPU throughput and GPU compute power in a compact desktop form factor.

  • Content Creators: Video editors using multi-track timelines will benefit from the 12-core CPU and the GPU’s hardware encoders. The 20 GB VRAM allows for complex After Effects compositions and color grading without memory limits.
  • 3D Modelers and Animators: The combination of the CPU for simulation and the GPU for viewport rendering and final frame rendering (with CUDA) is ideal. The 48 RT cores enable real-time ray-traced previews in software like Blender or Unreal Engine.
  • Software Developers: The 24-thread CPU handles large codebases and parallel compilation tasks efficiently. The high Passmark integer math score of 164075 indicates strong performance in build and test pipelines.
  • Data Scientists and AI Researchers: The 192 tensor cores provide acceleration for machine learning model training and inference. The 20 GB VRAM can accommodate medium-sized models that do not fit on smaller consumer cards.
  • Small Business Workstations: For tasks like architectural visualization, engineering simulation, and financial modeling, this pairing offers a professional-grade capability without the size or power requirements of larger dual-socket workstations.

CPU Analysis

The AMD Ryzen 9 7900 is a 12-core, 24-thread desktop processor from the 7000 series, based on the Zen 4 architecture (codenamed Raphael). It is manufactured on a 5 nm process at TSMC, with 13,140 million transistors spread across a 2x 71 mm² die configuration. The base clock is 3.70 GHz, and the boost clock reaches 5.40 GHz, with a TDP of 65 W. This power efficiency is a standout feature, delivering high performance within a modest thermal envelope.

The cache hierarchy is substantial: 64 KB of L1 per core, 1 MB of L2 per core, and a shared 64 MB of L3 cache. This large L3 cache is critical for gaming and productivity applications that reuse data frequently. The CPU supports DDR5 memory in dual-channel mode with a bandwidth of 83.2 GB/s, and it includes support for ECC memory, which is rare for mainstream desktop platforms and valuable for error-sensitive workloads.

Benchmark results confirm its multi-threaded strength. The Cinebench R23 multi-core score of 24776 is strong for a 65 W part, rivaling higher-TDP chips. The Geekbench multi-core score of 17726 and Passmark multithread score of 48347 indicate excellent scaling across the 12 cores. Single-thread performance is also impressive, with a Cinebench R23 single-core score of 1966 and a Passmark single-thread score of 4130. The physics score of 3059 in Passmark is notably high, suggesting strong performance in simulation and physics-based workloads. Overall, the CPU’s 90th percentile ranking reflects its position as a top-tier desktop processor.

Build Overview

This build pairs the AMD Ryzen 9 7900 CPU with the NVIDIA RTX 4000 SFF Ada Generation GPU in a desktop class configuration. The CPU is a 12-core Zen 4 part with a 65 W TDP, designed for high efficiency and strong multi-threaded performance. The GPU is a compact workstation accelerator with 20 GB VRAM and a 70 W TDP, designed for professional compute tasks within space-constrained systems.

The combined percentile of 93 places this system in the top 7% of all tracked desktop configurations. This is a high-performance workstation pairing, not a typical gaming rig. The CPU’s 90th percentile and the GPU’s 95th percentile indicate that both components are near the top of their respective categories. The system is well-balanced, with no single component falling significantly behind the other in terms of benchmark standing. This is a purpose-built machine for demanding professional software, where the 24 threads of the CPU and the 6144 CUDA cores of the GPU can be fully utilized.

Balance and Bottleneck

The data indicates a well-balanced pairing, but specific workloads will favor one component over the other.

  • CPU-Intensive Workloads: In tasks like software compilation, video encoding (software), and complex physics simulations, the CPU will be the limiting factor. The Ryzen 9 7900’s 24 threads will be fully utilized, while the GPU may sit idle. The Passmark integer math score of 164075 and the 3DMark max-thread score of 10953 show the CPU’s peak throughput. In this scenario, the GPU’s 95th percentile does not help; the CPU’s 90th percentile defines the performance ceiling.
  • GPU-Intensive Workloads: In GPU rendering (e.g., Octane, Redshift) or AI training, the RTX 4000 SFF will be the primary engine. The CPU’s role is to feed the GPU data and manage the scene. The GPU’s FP32 performance of 19.17 TFLOPS and its 124812 OpenCL score will be the deciding factors. The CPU’s single-thread score of 1966 in Cinebench R23 is sufficient to keep up with the GPU’s data demands in most cases.
  • Gaming: In gaming, the balance depends on the title and resolution. At 1080p, the CPU’s single-thread performance (1069 in 3DMark single-thread) is often the bottleneck. At 4K, the GPU’s rendering load increases, and the RTX 4000 SFF becomes the limiting factor. The estimated FPS scaling suggests that the CPU can push high frame rates in esports titles, but the GPU’s lower clock speeds will cap performance in graphically demanding AAA games.

The evidence shows that this is not a system with a severe bottleneck. The components are matched in tier, and the bottleneck shifts depending on the workload, which is a sign of a balanced system for mixed professional use.

Usage Scenarios

High-Refresh Gaming: At 1080p and 1440p, the Ryzen 9 7900’s strong single-thread performance (4130 Passmark single-thread) can drive high frame rates in competitive titles. The RTX 4000 SFF’s 19.17 TFLOPS ensures smooth gameplay, though its conservative clock speeds may limit maximum FPS compared to larger gaming GPUs. Expect excellent performance in esports and very good performance in AAA titles at these resolutions.

Streaming: The CPU’s 24 threads are more than capable of handling x264 encoding at high quality while maintaining gameplay performance. Alternatively, the GPU’s NVENC encoder (implied by Ada Lovelace architecture) can offload the encoding task, leaving the CPU free for other workloads. The 20 GB VRAM prevents any texture swapping issues during streaming.

Video Editing: The combination is powerful for non-linear editing. The CPU’s Cinebench R23 multi-core score of 24776 accelerates timeline rendering and effects processing. The GPU accelerates effects, color grading, and export via CUDA. The 20 GB VRAM is particularly beneficial for 4K and 8K timelines, allowing for smooth scrubbing and preview without dropping frames.

3D Rendering: This is a primary use case. The CPU handles particle simulations and rigid body dynamics, evidenced by the Passmark physics score of 3059. The GPU’s 48 RT cores and 192 tensor cores accelerate ray-traced rendering in Blender, Maya, and Cinema 4D. The 20 GB VRAM allows for large, complex scenes to be rendered without out-of-memory errors.

Software Development: The 12-core/24-thread CPU is excellent for compiling large codebases. The Passmark integer math score of 164075 shows strong throughput for code compilation. The large L3 cache (64 MB) helps with frequently accessed data. The system can run multiple virtual machines or containers simultaneously, supported by the high memory bandwidth of 83.2 GB/s.

Student and Office Work: For standard productivity tasks, this system is massively overqualified. The CPU’s single-thread performance (1966 Cinebench R23) ensures snappy application launches and responsive spreadsheets. The GPU’s 4x mini-DisplayPort outputs support multi-monitor setups, and the low TDP of both components means quiet and cool operation in a dorm room or office. The ECC memory support adds a layer of data integrity for important documents and projects.