SYSTEM ANALYZER

Rate My PC: Intel Core i9-12900F + 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

Intel Core i9-12900F

47,176 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
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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

# Intel Core i9-12900F + NVIDIA RTX 4000 SFF Ada Generation

This desktop build pairs Intel's 16-core Alder Lake flagship CPU with NVIDIA's 70 W workstation-class Ada Lovelace GPU, placing it in the 92nd combined percentile across all CPU+GPU pairings. The CPU holds the 89th percentile among all processors, while the GPU sits in the 95th percentile among all graphics cards, making this a top-tier configuration for professional workloads. No measured FPS data exists for this exact CPU+GPU combination, so all gaming performance figures discussed here are estimates derived from benchmark scores rather than direct frame-rate measurements.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the Core 12th Gen Alder Lake architecture. The i9-12900F uses a 10 nm process from Intel with a die size of 215 mm², and it supports both DDR4 and DDR5 memory through a dual-channel memory bus. Memory bandwidth is rated at 76.8 GB/s, and the CPU includes ECC memory support, which is a meaningful feature for workstation reliability in data-intensive tasks. The memory controller's dual-format support means builders can choose between cost-effective DDR4 or higher-bandwidth DDR5 depending on motherboard selection, though the platform's memory bandwidth ceiling remains 76.8 GB/s regardless of memory type.

PCIe connectivity comes from the CPU's Gen 5 interface with 16 lanes, providing ample bandwidth for the GPU and NVMe storage. The RTX 4000 SFF Ada Generation uses a PCIe 4.0 x16 interface, which is fully compatible with the CPU's Gen 5 lanes and will operate without bottlenecking on the interface itself. The GPU's power requirements are notably modest: its 70 W TDP and 250 W suggested PSU mean this system can run on a surprisingly small power supply, though the CPU's 65 W TDP and the rest of the system components should be factored into the final PSU selection.

A sensible next upgrade path from this configuration would involve moving to a newer Socket 1700 CPU with higher core counts or clock speeds, since the platform itself remains current with Active production status for both the CPU and GPU. The GPU's dual-slot, low-profile design and lack of power connectors mean it can be replaced with a full-size workstation card without requiring chassis or PSU changes, though the 250 W suggested PSU would need revisiting for higher-TDP graphics cards. The CPU's unlocked multiplier allows overclocking headroom, and the 30 MB shared L3 cache and 1.25 MB per-core L2 cache provide substantial on-die storage for performance-sensitive workloads.

Gaming Performance

Since the FACT PACK contains no measured FPS data for this exact CPU+GPU combination, all gaming performance figures are estimates based on the benchmark scores of both components. The GPU's Geekbench OpenCL score of 124812 and Vulkan score of 109364 indicate strong compute capability, while the CPU's Cinebench R23 single-core score of 4292 and multi-core score of 30405 suggest it can feed the GPU effectively in most gaming scenarios.

At 1080p resolution with ultra settings, this pairing should deliver high frame rates in most titles, with the CPU's strong single-core performance preventing bottlenecking in CPU-bound games. The GPU's 19.17 TFLOPS FP32 compute and 280.0 GB/s memory bandwidth provide sufficient throughput for modern game engines, though the 160-bit memory bus and 14 Gbps effective memory clock are more conservative than gaming-focused cards. At 1440p ultra, the GPU's 20 GB VRAM becomes an advantage for texture-heavy titles, and the 48 RT cores and 192 tensor cores enable ray tracing and DLSS features, though the 1560 MHz boost clock limits raw rasterization throughput compared to higher-clocked gaming GPUs.

At 4K ultra, the GPU's 99.84 GPixel/s pixel rate and 299.5 GTexel/s texture rate will struggle with the most demanding titles, and the 70 W TDP constrains sustained performance under heavy load. The CPU's 89th percentile ranking among all CPUs means it will not be the limiting factor in most gaming scenarios, but the GPU's workstation-oriented design prioritizes compute accuracy over gaming frame rates. For competitive esports titles at lower settings, the combination should deliver very high frame rates given the CPU's single-core strength and the GPU's adequate geometry processing capability.

CPU Analysis

The Intel Core i9-12900F is a 16-core, 24-thread processor based on the Alder Lake architecture, built on Intel's 10 nm process. It runs at a 2.40 GHz base clock and boosts to 5.10 GHz, with a 65 W TDP that is remarkably low for a 16-core part. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 30 MB shared L3, providing 215 mm² of die area dedicated to computation and cache. The CPU supports both DDR4 and DDR5 memory with ECC, making it flexible for various build configurations.

Benchmark results show a well-rounded performer. The Cinebench R23 multi-core score of 30405 places it in strong contention with newer parts, while the single-core score of 4292 indicates excellent per-thread performance. Geekbench scores of 15965 multi-core and 2339 single-core reinforce this picture. The PassMark multi-thread score of 35912 and single-thread score of 4017 show consistent performance across different benchmark methodologies. Data compression and encryption scores of 451402 and 25251 respectively indicate strong throughput for data-intensive workloads, while floating-point math at 96452 and integer math at 129504 demonstrate broad computational capability.

The nearest rivals show how tightly this CPU competes. The Intel Core i7-13700KF scores 47330 on average, just 0.3% higher, while the AMD Ryzen AI 9 HX PRO 375 scores 47022, 0.3% lower. The AMD Ryzen 9 5900 scores 46971, 0.4% lower, and the Intel Core Ultra X9 378H scores 47468, 0.6% higher. These negligible deltas mean the i9-12900F is effectively performance-equivalent to its closest competitors, with the 0.3-0.6% differences being within benchmark noise. The CPU's avgBenchmarkScore of 47176 places it in the 89th percentile, meaning it outperforms 89% of all CPUs in the database.

Who Should Build It

This system targets users who need strong CPU throughput for multi-threaded professional workloads combined with GPU compute capability for rendering and simulation tasks. The CPU's 16 cores and 24 threads, paired with the GPU's 6144 shading units and 192 tensor cores, make it suitable for content creators working with video editing software that leverages both CPU and GPU acceleration. The 20 GB VRAM is particularly valuable for 3D artists working with large scenes or high-resolution textures, and the GPU's workstation Ada Lovelace architecture provides certified drivers for professional applications.

Gamers at 1080p and 1440p resolutions who also need workstation-grade GPU compute will find this pairing practical, though dedicated gaming GPUs offer higher frame rates at similar price points. The CPU's 89th percentile ranking ensures it handles modern game physics and AI calculations without becoming a bottleneck. Software developers working on multi-threaded code will benefit from the 24 threads and the PassMark integer math score of 129504, which indicates strong performance in compilation and code analysis tasks. Students in engineering or computer science programs will appreciate the ECC memory support and the GPU's ability to handle CUDA-accelerated coursework.

Small business workstations that run simulation software, financial modeling, or database workloads will find the combination capable, with the CPU's data compression score of 451402 and encryption score of 25251 providing strong performance for these tasks. The GPU's 70 W TDP means it can be deployed in compact chassis without special cooling, and the 250 W suggested PSU simplifies power delivery in office environments. The CPU's 65 W TDP similarly reduces cooling requirements, making this a practical choice for quiet, low-heat workstation builds.

Benchmark Performance

The CPU's avgBenchmarkScore of 47176 places it in the 89th percentile among all CPUs, with nearest rivals all within 0.6% of its score. The Cinebench R15 multi-core score of 3064 and single-core score of 432 show strong generational performance, while the R20 scores of 12770 multi-core and 1802 single-core demonstrate scaling across benchmark versions. The R23 multi-core score of 30405 is particularly notable, as it shows the CPU sustaining high multi-threaded throughput under extended load. Geekbench scores of 15965 multi-core and 2339 single-core confirm the pattern of balanced performance.

The GPU's avgBenchmarkScore of 117088 places it in the 95th percentile among all GPUs, a higher ranking than the CPU's 89th percentile. Its Geekbench OpenCL score of 124812 and Vulkan score of 109364 show strong compute performance, though slightly lower than its nearest rival, the NVIDIA GB10, which scores 117393 (0.3% higher). The AMD Radeon PRO W7700 scores 118976, 1.6% higher, while the NVIDIA Tesla V100 SXM2 16 GB scores 114395, 2.4% lower, and the NVIDIA RTX A5500 Mobile scores 113944, 2.8% lower. This places the RTX 4000 SFF Ada Generation in a competitive position among workstation GPUs, with the 1.6% gap to the Radeon PRO W7700 being the largest delta among its rivals.

The combined percentile of 92 indicates that this CPU+GPU pairing outperforms 92% of all configurations in the database. The CPU's 89th percentile and GPU's 95th percentile mean the GPU is the stronger component relative to its peers, which has implications for workload balance. The avgBenchmarkScore of 47176 for the CPU and 117088 for the GPU show that the GPU contributes more to the combined score, suggesting that GPU-bound workloads will see the most performance benefit from this pairing.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is built on the AD104 chip using TSMC's 5 nm process, with 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8M per mm². It features 6144 shading units, 192 texture mapping units, and 64 raster output units, with 48 RT cores and 192 tensor cores for ray tracing and AI acceleration. The GPU runs at a 720 MHz base clock and 1560 MHz boost clock, with memory clocked at 1750 MHz (14 Gbps effective) across a 160-bit bus, yielding 280.0 GB/s bandwidth and 20 GB of GDDR6 VRAM.

The 20 GB VRAM capacity is a standout feature, providing ample memory for large datasets, high-resolution textures, and multi-tasking across multiple applications. The 160-bit memory bus is narrower than many workstation cards, but the 280.0 GB/s bandwidth is sufficient for the GPU's compute throughput. The FP32 performance of 19.17 TFLOPS, with FP16 at 19.17 TFLOPS (1:1), indicates that the GPU does not use the consumer-market FP16 acceleration tricks, instead providing full-rate compute across both precisions. The pixel rate of 99.84 GPixel/s and texture rate of 299.5 GTexel/s provide strong fill rates for a 70 W GPU.

The 70 W TDP is remarkable for a GPU with this compute capability, enabled by the 5 nm process and the SFF (small form factor) design. The dual-slot cooler and 168 mm length (6.6 inches) make it suitable for compact workstations, and the lack of power connectors simplifies installation. The 4x mini-DisplayPort 1.4a outputs support multi-display configurations, and the API support for DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 ensures compatibility with modern graphics software. The GPU's 95th percentile ranking among all GPUs, with an avgBenchmarkScore of 117088, shows it outperforms 95% of graphics cards in the database, a strong result for a low-power workstation part.

Usage Scenarios

High-refresh gaming: The CPU's single-core score of 4292 in Cinebench R23 and 4017 in PassMark single-thread indicates it can drive high frame rates in CPU-bound scenarios, while the GPU's 19.17 TFLOPS FP32 provides adequate throughput for 1080p high-refresh gaming. However, the GPU's 70 W TDP and 1560 MHz boost clock limit sustained performance in demanding titles, making 1440p high-refresh gaming a stretch at ultra settings.

Streaming: The CPU's 16 cores and 24 threads, combined with the PassMark data compression score of 451402, provide ample headroom for software encoding while gaming. The GPU's 192 tensor cores can also accelerate encoding and AI-based streaming features, though the lack of a dedicated NVENC mention in the FACT PACK means streaming performance relies on the CPU's multi-threaded capability.

Video editing: The CPU's multi-core score of 30405 in Cinebench R23 and the GPU's OpenCL score of 124812 make this pairing strong for video editing workloads. The 20 GB VRAM allows for large timeline previews and effects processing, while the ECC memory support on the CPU side ensures data integrity during long renders.

3D rendering: The GPU's 6144 shading units and 48 RT cores provide substantial compute for ray-traced rendering, with the 19.17 TFLOPS FP32 delivering strong performance in GPU-accelerated renderers. The CPU's 24 threads handle scene preparation and physics simulation, and the 30 MB L3 cache reduces memory latency for large scenes.

Software development: The CPU's integer math score of 129504 and multithread score of 35912 indicate strong performance for compilation tasks, while the GPU's Vulkan score of 109364 supports graphics debugging and GPU compute development. The 20 GB VRAM allows for large test datasets in GPU-accelerated applications.

Student and office work: The CPU's 89th percentile ranking ensures responsive performance in productivity applications, while the GPU's 95th percentile ranking provides acceleration for spreadsheet, database, and visualization tasks. The low 65 W CPU TDP and 70 W GPU TDP make this a quiet, energy-efficient system for shared workspaces.

FAQ

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

A: The combined percentile is 92, meaning this configuration outperforms 92% of all CPU+GPU pairings in the database.

Q: How does the Intel Core i9-12900F compare to its nearest rival, the Intel Core i7-13700KF?

A: The i9-12900F has an average benchmark score of 47176, which is 0.3% lower than the i7-13700KF's score of 47330, making them effectively performance-equivalent.

Q: What is the GPU's memory configuration?

A: The RTX 4000 SFF Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 280.0 GB/s and memory clock of 1750 MHz (14 Gbps effective).

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-12900F supports ECC memory, which is a feature typically found in workstation-class processors.

Q: What is the suggested PSU wattage for this GPU?

A: The suggested PSU for the RTX 4000 SFF Ada Generation is 250 W, which is notably low for a GPU with this compute capability.

Q: What is the GPU's FP32 performance in TFLOPS?

A: The GPU delivers 19.17 TFLOPS of FP32 performance, with FP16 also at 19.17 TFLOPS (1:1 ratio).

Q: How does the GPU compare to the AMD Radeon PRO W7700?

A: The RTX 4000 SFF Ada Generation has an average benchmark score of 117088, which is 1.6% lower than the Radeon PRO W7700's score of 118976.

Balance and Bottleneck

The performance balance between the CPU and GPU is skewed toward the GPU, which holds the 95th percentile compared to the CPU's 89th percentile. This means the GPU is relatively stronger when compared to its peers, suggesting that GPU-bound workloads will show better relative performance than CPU-bound tasks. In gaming scenarios, the CPU's strong single-core performance (4292 in Cinebench R23) will likely prevent CPU bottlenecks at lower resolutions, but the GPU's workstation-oriented design may limit frame rates in the most demanding titles.

For multi-threaded workloads like video rendering or 3D scene processing, the CPU's 16 cores and 24 threads provide substantial parallel compute, but the GPU's 6144 shading units and 192 tensor cores will often be the decisive factor. The CPU's nearest rivals are all within 0.6% in average score, indicating that CPU performance is closely matched to its competitors, while the GPU's nearest rival gap of 2.8% (to the RTX A5500 Mobile) shows more variation in GPU performance.

The FPS scaling between the two components is not measurable from the FACT PACK data, but the CPU's 89th percentile and GPU's 95th percentile suggest that the GPU will be the limiting factor in most gaming scenarios. The CPU's 65 W TDP and the GPU's 70 W TDP mean thermals are unlikely to cause throttling in well-ventilated chassis, and the 250 W suggested PSU provides adequate headroom for both components under full load. For professional workloads that leverage both CPU and GPU compute, the balance is well-matched, with the CPU's multi-threaded throughput complementing the GPU's single-precision compute.

Build Overview

This is a desktop-class build that pairs the Intel Core i9-12900F, a 16-core Alder Lake processor with a 5.10 GHz boost clock and 65 W TDP, with the NVIDIA RTX 4000 SFF Ada Generation, a 70 W workstation GPU with 20 GB of GDDR6 memory and 6144 shading units. The CPU's 89th percentile ranking and the GPU's 95th percentile ranking place this configuration in the 92nd combined percentile, making it a top-tier system for professional and high-end consumer workloads.

The build is characterized by its unusual combination of high compute performance and remarkably low power consumption. The CPU's 65 W TDP is exceptional for a 16-core part, and the GPU's 70 W TDP with a 250 W suggested PSU means the entire system can run on a modest power supply. The 20 GB VRAM, 48 RT cores, and 192 tensor cores on the GPU, combined with the CPU's 30 MB L3 cache and 24 threads, provide substantial compute resources for rendering, simulation, and AI-accelerated tasks. While no measured FPS data exists for gaming, the benchmark scores indicate capable 1080p and 1440p performance, with the GPU's workstation focus making it better suited for compute-intensive professional applications than high-refresh gaming.