SYSTEM ANALYZER

Rate My PC: AMD Ryzen 9 9900X + NVIDIA RTX 4000 SFF 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 9900X

57,498 Benchmark Score
Top 5% 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 9900X and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that targets a specific niche: high-end productivity in a compact, power-efficient envelope. The CPU is a 12-core Zen 5 part, while the GPU is a workstation-class Ada Lovelace accelerator with 20 GB of memory. Benchmark data shows this combination sits at the 94th percentile for all CPU+GPU pairs, indicating a top-tier system for compute-heavy tasks, though the lack of measured FPS data means gaming performance must be inferred from component-level scores.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU built on the 5 nm Ada Lovelace architecture, using the AD104 chip with 35,800 million transistors on a 294 mm² die. It features 6,144 shading units, 192 texture mapping units, and 64 raster output units. The GPU is equipped with 48 RT cores and 192 tensor cores, providing dedicated hardware for ray tracing and AI-accelerated workloads. Its FP32 compute throughput is rated at 19.17 TFLOPS, with FP16 also at 19.17 TFLOPS on a 1:1 ratio, meaning the card does not rely on shader-based FP16 emulation.

Memory configuration is notable for its capacity. The card carries 20 GB of GDDR6 on a 160-bit bus, yielding a memory bandwidth of 280.0 GB/s. The memory clock is listed at 1750 MHz, translating to 14 Gbps effective. For a SFF workstation card, this capacity is substantial, allowing large datasets and complex scenes to reside in VRAM without spilling to system memory. The bandwidth, while not class-leading, is sufficient for the card’s compute capabilities, particularly given its low power ceiling.

Clock speeds are conservative, with a base clock of 720 MHz and a boost clock of 1560 MHz. This is a direct consequence of the 70 W TDP, which draws power through the slot only, with no auxiliary power connectors. The pixel rate is 99.84 GPixel/s, and the texture rate is 299.5 GTexel/s. The card’s dual-slot design, measuring 168 mm in length, allows it to fit in compact chassis.

In benchmark terms, the GPU scores 124,812 in Geekbench OpenCL and 109,364 in Geekbench Vulkan. These scores place it at the 95th percentile among all GPUs. Its average benchmark score is 117,088. Compared to its nearest rivals, it is 0.3% behind the NVIDIA GB10 (score 117,393) and 1.6% behind the AMD Radeon PRO W7700 (score 118,976), but it is 2.4% ahead of the NVIDIA Tesla V100 SXM2 16 GB (score 114,395) and 2.8% ahead of the NVIDIA RTX A5500 Mobile (score 113,944). The data indicates that this SFF card delivers compute performance competitive with much larger, higher-power workstation GPUs, making it a strong choice for rendering tasks where FP32 and RT throughput matter, and where the 20 GB frame buffer can hold large scenes.

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

The balance between the Ryzen 9 9900X and the RTX 4000 SFF Ada is asymmetric. The CPU has a 92nd percentile ranking among all CPUs, while the GPU sits at the 95th percentile among all GPUs. For the combined pair, the percentile is 94. The slight edge in percentile for the GPU suggests that in most workloads, the CPU is not the limiting factor, but the GPU’s relatively modest bandwidth and clock speeds could constrain extreme high-FPS scenarios.

In multi-threaded compute tasks, the CPU’s 12 cores and 24 threads are likely to be the primary driver. The CPU scores 32,172 in Cinebench R23 multi-core and 5,008 in Cinebench R15 multi-core. The GPU’s FP32 throughput of 19.17 TFLOPS will assist in parallel workloads, but the CPU’s integer and floating-point performance (181,056 and 120,083 in PassMark, respectively) will be the backbone for general processing. For rendering, the GPU’s 48 RT cores and 192 tensor cores offload ray tracing and AI denoising, shifting the bottleneck towards the CPU for scene setup and physics.

For gaming, the bottleneck is more complex. The CPU’s single-thread score of 1,286 in 3DMark and 2,253 in Cinebench R23 single-core indicates strong per-core performance, which is critical for frame pacing. However, the GPU’s base clock of 720 MHz is low, and its boost of 1560 MHz is moderate. The 280.0 GB/s bandwidth and 64 ROPs suggest that at high resolutions, the GPU will be the limiting factor, especially with ultra settings. The CPU’s 24 threads can handle background tasks, but the GPU’s compute and memory subsystem will cap raw FPS. The data shows a 94th percentile pair, but without measured FPS, the balance must be assessed as CPU-heavy for productivity and GPU-limited for gaming at high resolutions, given the bandwidth constraints.

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

The AMD Ryzen 9 9900X is a 12-core, 24-thread desktop processor based on the Zen 5 architecture, codenamed Granite Ridge. It is manufactured on a 4 nm process at TSMC, with 16,630 million transistors spread across a dual-chiplet design with a die size of 2x 70.6 mm². The base clock is 4.40 GHz, boosting up to 5.60 GHz. The CPU has a TDP of 120 W and supports DDR5 memory in a dual-channel configuration, with a memory bandwidth of 89.6 GB/s. ECC memory is supported, and the CPU provides 24 PCIe Gen 5 lanes.

The cache hierarchy includes 80 KB of L1 per core, 1 MB of L2 per core, and 64 MB of shared L3 cache. This large L3 is beneficial for workloads with high data reuse, such as database operations and scientific simulations. The CPU’s benchmark scores reflect its prowess in both single-threaded and multi-threaded tasks. It achieves 22,174 in Geekbench multi-core and 3,010 in Geekbench single-core. In PassMark, it scores 54,643 for multi-thread and 4,672 for single-thread. The Cinebench R23 scores of 32,172 multi-core and 2,253 single-core indicate strong rendering performance.

The nearest rivals provide context. The AMD EPYC 9015 has an average score of 57,555, which is 0.1% higher than the 9900X’s average of 57,498. The EPYC 7313 scores 57,399, 0.2% lower. The Intel Core i9-14900 scores 58,115, which is 1.1% higher, and the Xeon Platinum 8260M scores 58,323, 1.4% higher. The data shows the 9900X is competitive with server-class parts, though it trails slightly in raw multi-thread throughput. For real workloads, the 9900X excels in tasks like software compilation, video encoding, and 3D rendering, where 12 cores and high clocks matter. The PassMark data compression score of 683,579 and encryption score of 33,421 suggest strong performance in archiving and security-related tasks.

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

The platform is built around AMD Socket AM5, which is the current desktop standard for AMD. The Ryzen 9 9900X supports DDR5 memory in a dual-channel configuration, with a memory bandwidth of 89.6 GB/s. ECC memory support is present, which is valuable for workstation use. The CPU provides 24 PCIe Gen 5 lanes, allowing for high-bandwidth storage and expansion cards. The integrated Radeon Graphics provide a basic display output, which is useful for troubleshooting or light GPU-less operation.

The GPU is a PCIe 4.0 x16 card, which is backward compatible with the CPU’s PCIe Gen 5 slots. The RTX 4000 SFF Ada has a TDP of 70 W, and the suggested PSU for the system is 250 W. This leaves significant headroom for the CPU’s 120 W TDP and other components. The power connector is listed as "None," meaning the card draws power solely from the PCIe slot. This low power requirement makes the pairing suitable for small form factor builds where PSU capacity is limited.

A sensible next upgrade would focus on memory capacity, given the CPU’s dual-channel DDR5 support and ECC capability. Increasing to a larger DDR5 kit would benefit workloads that exceed the current memory bandwidth. For storage, the 24 PCIe Gen 5 lanes allow for adding a Gen 5 NVMe SSD, which would improve load times and data transfer rates. The GPU’s 20 GB VRAM is already substantial, so a future upgrade would likely target a higher-tier workstation card, but the current pairing’s 70 W GPU power means the PSU headroom is ample for a more powerful card, provided the chassis can accommodate it. The platform’s active production status and recent release date (2024-08-14 for the CPU) indicate a long-term upgrade path within the AM5 ecosystem.

FAQ

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

A: The pair ranks at the 94th percentile among all CPU+GPU combinations, indicating a high-end system.

Q: How much VRAM does the RTX 4000 SFF Ada have, and what type is it?

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

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

A: The AMD Ryzen 9 9900X has 12 cores and 24 threads, with a base clock of 4.40 GHz and a boost clock of 5.60 GHz.

Q: Is the GPU’s power consumption high?

A: No, the RTX 4000 SFF Ada has a TDP of 70 W and does not require auxiliary power connectors, drawing power solely from the PCIe slot.

Q: Does the CPU support ECC memory?

A: Yes, the Ryzen 9 9900X supports ECC memory, which is beneficial for workstation reliability.

Q: What is the GPU’s score in Geekbench OpenCL?

A: The GPU scores 124,812 in Geekbench OpenCL and 109,364 in Geekbench Vulkan.

Q: What is the launch MSRP of the CPU?

A: The AMD Ryzen 9 9900X has a launch MSRP of $499.

Gaming Performance

No measured FPS rows exist for this exact combination, as the FACT PACK contains no measuredFps data. All FPS figures below are estimated from the benchmark scores and should be treated as approximations. The CPU’s single-thread performance is strong, with a 3DMark single-thread score of 1,286, which is critical for maintaining high frame rates. The GPU’s 19.17 TFLOPS FP32 compute and 48 RT cores suggest it can handle modern titles at high settings, but the 280.0 GB/s bandwidth and 64 ROPs may limit performance at 4K ultra.

At 1080p, the CPU is likely the primary driver, and the CPU’s 24 threads can handle game logic and physics. The GPU’s boost clock of 1560 MHz, while modest, should push frame rates high enough for esports titles, potentially exceeding 144 FPS in less demanding games. At 1440p, the balance shifts to the GPU, and the 20 GB VRAM prevents texture-related stuttering, but the bandwidth may cap FPS in heavily textured scenes. At 4K, the GPU is the bottleneck, and the data suggests frame rates will be lower, possibly in the 60-90 FPS range for AAA titles at high settings, given the compute throughput but limited ROP count. The lack of measured data means these are estimates, but the 94th percentile pair ranking suggests a capable gaming system, particularly for high-refresh 1080p and solid 1440p performance.

Benchmark Performance

The CPU’s average benchmark score is 57,498, placing it at the 92nd percentile among all CPUs. Key scores include 13,929 in 3DMark max threads, 12,552 in 3DMark 16 threads, and 1,286 in 3DMark single-thread. In Cinebench, it scores 32,172 multi-core and 2,253 single-core in R23, and 5,008 multi-core and 353 single-core in R15. Geekbench results are 22,174 multi-core and 3,010 single-core. PassMark tests show 54,643 multi-thread, 4,672 single-thread, 181,056 integer math, 120,083 floating-point math, and 683,579 data compression.

The GPU’s average benchmark score is 117,088, placing it at the 95th percentile among all GPUs. It scores 124,812 in Geekbench OpenCL and 109,364 in Geekbench Vulkan. The combined percentile for the pair is 94. The CPU’s nearest rival, the Intel Core i9-14900, scores 58,115, which is 1.1% higher, while the AMD EPYC 9015 is 0.1% higher at 57,555. The GPU’s nearest rival, the AMD Radeon PRO W7700, scores 118,976, which is 1.6% higher. The combined picture is a system where the CPU is slightly behind the best desktop rivals in multi-thread, but the GPU is within a few percentage points of much larger workstation cards, making this a balanced high-end productivity machine.

Build Overview

This build pairs the AMD Ryzen 9 9900X, a 12-core Zen 5 desktop CPU, with the NVIDIA RTX 4000 SFF Ada Generation, a workstation GPU. The build class is desktop. The CPU is part of the 9000 series, with a 120 W TDP, and the GPU has a 70 W TDP, making the total power draw manageable. The pair ranks at the 94th percentile overall, indicating a top-tier system for its class. The CPU’s 92nd percentile and GPU’s 95th percentile suggest that the GPU is slightly more performant relative to its peers, but both are high-end components. The 20 GB VRAM on the GPU and 64 MB L3 cache on the CPU create a system capable of handling large datasets and complex computations, while the 4 nm and 5 nm processes keep power and heat in check. This is a workstation-class desktop build, not a typical gaming rig, given the SFF GPU’s focus on compute and reliability.

Who Should Build It

The target users are professionals and power users who need high compute throughput in a compact form factor. Gamers at 1440p or 4K will find the system capable, but the GPU’s modest clock speeds mean high-refresh 1080p is where it shines. Content creators, particularly video editors and 3D artists, will benefit from the CPU’s 24 threads (Cinebench R23 multi-core score of 32,172) and the GPU’s 20 GB VRAM, which allows for large render scenes and smooth timeline scrubbing. Software developers will appreciate the CPU’s compilation speed (PassMark integer math score of 181,056) and the GPU’s CUDA cores for parallel workloads. Students and small business workstations will find the system overkill for basic tasks, but the ECC memory support and low power draw make it a reliable choice for long-running simulations or data analysis. The 92nd CPU percentile and 95th GPU percentile indicate that this build is for users who prioritize performance per watt and space over raw gaming FPS.

Usage Scenarios

High-refresh gaming: At 1080p, the CPU’s single-thread score of 1,286 in 3DMark and boost clock of 5.60 GHz can drive high frame rates, while the GPU’s 19.17 TFLOPS compute handles the rendering. Expect smooth performance in esports titles, though the 280.0 GB/s bandwidth may limit extreme FPS in demanding titles.

Streaming: The CPU’s 24 threads and the GPU’s NVENC encoder (implied by Ada Lovelace architecture) can handle game capture and encoding simultaneously. The 20 GB VRAM prevents texture thrashing while streaming at high settings, and the 70 W GPU power leaves headroom for the CPU to handle the encode workload.

Video editing: The CPU’s Cinebench R23 multi-core score of 32,172 accelerates export times, while the GPU’s 192 tensor cores can accelerate AI-based effects. The 20 GB VRAM allows for 4K or 8K timelines with multiple effects layers without dropping frames.

3D rendering: The GPU’s 48 RT cores provide hardware-accelerated ray tracing, and the FP32 throughput of 19.17 TFLOPS handles polygon-heavy scenes. The 20 GB VRAM holds large textures, and the CPU’s 12 cores (PassMark multi-thread score of 54,643) keep the render engine fed.

Software development: The CPU’s PassMark integer math score of 181,056 and data compression score of 683,579 speed up code compilation and asset packaging. The 24 threads allow for parallel builds, and the 64 MB L3 cache reduces latency for frequently accessed code.

Student and office work: The system is overprovisioned for word processing and spreadsheets, but the ECC memory support ensures data integrity, and the low power draw of both components (120 W CPU, 70 W GPU) makes it suitable for quiet, energy-efficient workstations that can handle occasional heavy compute tasks like statistical analysis in Python or MATLAB.