SYSTEM ANALYZER

Rate My PC: Intel Core i9-12900KF + NVIDIA RTX 5000 Embedded Ada Generation

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

84 / 100
HIGH-END

Power Build

Top 16% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
93%
VS
GPU
74%
PROCESSOR

Intel Core i9-12900KF

42,830 Benchmark Score
Top 7% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation

0 Benchmark Score
Top 26% 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

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

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 Intel Core i9-12900KF and NVIDIA RTX 5000 Embedded Ada Generation form a peculiar desktop pairing: a high-end enthusiast CPU from 2021 matched with a professional-grade mobile GPU. The CPU is a 16-core Alder Lake-S part with a 125 W TDP, while the GPU is a 120 W embedded-class accelerator based on the Ada Lovelace architecture. The data for this combination is estimated, not measured, as the FACT PACK contains no measured FPS rows for this exact pairing. All performance assessments below derive from the CPU's benchmark scores and the GPU's architectural specifications.

Usage Scenarios

High-Refresh Gaming: The CPU's single-threaded performance is strong enough to feed high-refresh gaming, with a 3dmark_single_thread score of 1069 and a passmark_single_thread score of 4144. The RTX 5000 Embedded Ada's 16 GB of GDDR6 memory on a 256-bit bus provides 576.0 GB/s of bandwidth, which is ample for modern textures. However, the GPU's boost clock of 1680 MHz and 32.69 TFLOPS of FP32 throughput suggest it is not built for extreme frame rates at high resolutions, making 1080p and 1440p the more sensible targets for high-refresh play.

Streaming: The CPU's 24 threads provide ample headroom for concurrent encoding and gaming, with a 3dmark_max_threads score of 11586 indicating robust multi-threaded capacity. The GPU includes 304 tensor cores and 76 RT cores, which can assist with AI-based upscaling and ray-traced effects, though the embedded nature of the GPU means its thermal and power envelope may limit sustained streaming loads. The CPU alone can handle software encoding for a 1080p stream while maintaining playable frame rates.

Video Editing: Multi-core performance is excellent, with a cinebench_cinebench_r23_multicore score of 34420 and a geekbench_multicore score of 18113. This translates to smooth timeline scrubbing and fast export times in non-linear editors. The GPU's 16 GB VRAM is sufficient for 4K timelines with multiple effect layers, and its 112 ROPs deliver a pixel rate of 188.2 GPixel/s, which accelerates compositing and color grading operations.

3D Rendering: The CPU's passmark_integer_math score of 138932 and passmark_floating_point_math score of 105558 indicate strong geometry and physics calculations. The GPU's 32.69 TFLOPS FP32 performance is respectable for GPU rendering, and its 510.7 GTexel/s texture rate helps with complex material shading. The 16 GB VRAM is a practical size for most scene sizes, but the 120 W TDP suggests sustained render jobs may throttle compared to desktop-class GPUs.

Software Development: Compilation tasks benefit from the CPU's 16 cores and 24 threads, with a passmark_multithread score of 40970. The 30 MB of shared L3 cache helps with repetitive code compilation workloads. Data encryption performance is strong at 29502 in passmark_data_encryption, which is useful for secure development environments. The CPU's support for both DDR4 and DDR5 memory allows flexible system configurations for different build budgets.

Student and Office Work: The CPU's passmark_single_thread score of 4144 ensures snappy responsiveness for everyday tasks like web browsing and document editing. The 2-thread score of 2112 in 3dmark indicates solid dual-core performance for older applications. The GPU's power efficiency, with a 120 W TDP, makes it suitable for a workstation that remains quiet and cool during office hours. The combination is overkill for basic office tasks but provides future-proofing for more demanding academic software.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip using TSMC's 5 nm process, packing 45,900 million transistors on a 379 mm² die. This transistor density of 121.1M per mm² is exceptionally high, enabling 9728 shading units, 304 TMUs, and 112 ROPs. The GPU operates at a base clock of 930 MHz and a boost clock of 1680 MHz, which are conservative for a mobile-class part, reflecting its 120 W TDP and "IGP" slot width designation.

Memory configuration is substantial: 16 GB of GDDR6 on a 256-bit bus, running at 2250 MHz with 18 Gbps effective speed, yielding a bandwidth of 576.0 GB/s. This bandwidth is critical for texture streaming and large dataset manipulation in professional applications. The 76 RT cores and 304 tensor cores provide dedicated hardware for ray tracing and AI workloads, though the embedded form factor means sustained performance may be lower than a desktop equivalent.

The GPU's FP32 throughput of 32.69 TFLOPS is competitive for rendering and compute tasks, with FP16 performance at the same 32.69 TFLOPS (1:1 ratio) indicating strong mixed-precision capabilities for AI inference. The pixel rate of 188.2 GPixel/s and texture rate of 510.7 GTexel/s are moderate, suggesting the GPU is optimized for compute density rather than raw rasterization speed. The bus interface is PCIe 4.0 x16, which provides sufficient bandwidth for most workloads, but the lack of display outputs (Portable Device Dependent) means this GPU is designed for embedded systems or external enclosures rather than direct monitor connections.

Upgrade Path and Platform

The Intel Core i9-12900KF uses the Intel Socket 1700 platform, which is the foundation for Alder Lake-S. This socket supports both DDR4 and DDR5 memory, giving builders flexibility in choosing memory technology based on availability and performance needs. The CPU provides 20 PCIe Gen 4 lanes (CPU only), which is sufficient for a single high-end GPU and one or two NVMe SSDs, though it falls short of newer platforms offering Gen 5 support.

The CPU's 125 W TDP and the GPU's 120 W TDP together suggest a total system power draw that is manageable for a mid-range power supply, though the FACT PACK provides no suggested PSU value. The GPU requires no power connectors, further reducing power supply demands. The CPU has an unlocked multiplier, enabling overclocking for users who want to extract additional performance, but this would increase power consumption beyond the 125 W TDP.

A sensible next upgrade for this platform would be a newer generation GPU with higher FP32 throughput, as the current GPU's 32.69 TFLOPS is the primary bottleneck in many workloads. The CPU's 16 cores and 24 threads remain competitive, so the platform can support a GPU upgrade without needing a new motherboard. Memory bandwidth is a potential limitation, as the dual-channel bus may constrain CPU performance in memory-intensive tasks, so upgrading to higher-speed DDR5 modules could provide a modest boost.

Balance and Bottleneck

The combined percentile for this build is 69, indicating it sits above the median but below top-tier configurations. The CPU's percentile vs all CPUs is 88, which is strong, while the GPU's percentile vs all GPUs is 50, exactly at the median. This imbalance suggests the CPU is significantly more capable than the GPU in this pairing, creating a GPU-bound system for most workloads.

In gaming, the CPU's 3dmark_16_threads score of 9860 and single-thread score of 1069 indicate it can handle high frame rates, but the GPU's 32.69 TFLOPS and 1680 MHz boost clock will limit maximum FPS. The estimated FPS scaling, based on benchmark scores, shows that the GPU will be the limiting factor at 1440p and 4K resolutions, while at 1080p the CPU may become the bottleneck in lightly-threaded titles.

For productivity, the CPU's cinebench_r23_multicore score of 34420 vastly exceeds the GPU's compute capabilities for CPU-bound tasks like code compilation and data compression (passmark_data_compression score of 537785). Conversely, GPU-accelerated tasks like rendering and AI inference will be constrained by the GPU's 120 W TDP and embedded design. The data indicates a system where the CPU has headroom for future GPU upgrades, but the current GPU limits overall system performance in graphics-intensive scenarios.

Who Should Build It

Gamers at 1080p and 1440p: The CPU's strong single-thread performance (4144 in passmark_single_thread) and the GPU's 16 GB VRAM make this a capable system for high-refresh gaming at these resolutions, though not for 4K ultra settings. The GPU's 50th percentile ranking means it will handle most modern titles at medium-to-high settings.

Content Creators: Video editors and 3D artists benefit from the CPU's 24 threads and the GPU's 16 GB VRAM, which is adequate for 4K timelines and moderate-sized 3D scenes. The 32.69 TFLOPS FP32 performance accelerates preview renders and effect processing.

Software Developers: The CPU's passmark_multithread score of 40970 and data encryption score of 29502 make this suitable for large codebases and secure development workflows. The dual memory support (DDR4 and DDR5) allows cost-optimized builds.

Students in STEM Fields: The combination handles computational workloads like MATLAB, Python simulations, and CAD software, with the CPU's floating-point score of 105558 proving sufficient for most academic tasks. The GPU's tensor cores support machine learning coursework.

Small Business Workstations: The system provides reliable performance for office productivity, data analysis, and light video conferencing, with the CPU's 88th percentile ranking ensuring longevity. The GPU's embedded design (no power connectors, 120 W TDP) simplifies system integration.

FAQ

Q: What is the CPU's core and thread configuration?

A: The Intel Core i9-12900KF has 16 cores and 24 threads, based on the Alder Lake architecture, with a base clock of 3.20 GHz and a boost clock of 5.20 GHz.

Q: How much VRAM does the GPU have, and what type?

A: The NVIDIA RTX 5000 Embedded Ada Generation has 16 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s.

Q: Does the CPU support overclocking?

A: Yes, the multiplier is unlocked, allowing users to overclock the CPU beyond its 5.20 GHz boost clock, though this will increase power draw above the 125 W TDP.

Q: What is the GPU's architecture and process node?

A: The GPU uses the Ada Lovelace architecture on TSMC's 5 nm process, with 45,900 million transistors and a die size of 379 mm².

Q: Is there measured FPS data for this CPU+GPU combination?

A: No, the FACT PACK contains no measured FPS rows for this exact pairing, so all gaming performance estimates are derived from benchmark scores.

Q: What is the CPU's average benchmark score compared to rivals?

A: The CPU's average benchmark score is 42830, which is 0.2% lower than the Intel Core i9-12900 (42906) and 1.2% higher than the Intel Core i9-12900K (42335).

Q: Does the GPU support DirectX 12 Ultimate?

A: Yes, the GPU supports DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4.

CPU Analysis

The Intel Core i9-12900KF is a 16-core, 24-thread processor built on the Alder Lake-S architecture, manufactured on Intel's 10 nm process with a die size of 215 mm². The core configuration combines performance and efficiency cores, though the FACT PACK does not specify the exact split. The base clock of 3.20 GHz and boost clock of 5.20 GHz demonstrate strong frequency headroom, and the unlocked multiplier allows enthusiasts to push beyond stock settings.

Cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 30 MB of shared L3 cache. This large L3 cache is beneficial for workloads with high data reuse, such as database queries and scientific simulations. The CPU supports dual-channel DDR4 and DDR5 memory, though the FACT PACK does not provide a memory bandwidth figure. ECC memory is not supported, which is a consideration for users requiring error-correcting memory for long-running computations.

Benchmark results show a processor that excels in both single-threaded and multi-threaded tasks. The cinebench_r23_singlecore score of 4859 and geekbench_singlecore score of 2361 indicate strong per-core performance, while the cinebench_r23_multicore score of 34420 and passmark_multithread score of 40970 demonstrate excellent scaling across cores. The passmark_integer_math score of 138932 and floating-point score of 105558 highlight the CPU's arithmetic throughput, and the data compression score of 537785 suggests strong memory subsystem performance.

The CPU's 88th percentile ranking vs all CPUs places it firmly in the high-end tier, with nearest rivals including the Intel Core i9-12900 (avg score 42906, -0.2% delta), Intel Core i9-12950HX (42487, +0.8% delta), Intel Core Ultra 9 386H (43210, -0.9% delta), and Intel Core i9-12900K (42335, +1.2% delta). This clustering indicates the 12900KF is competitively positioned within its generation, with performance differences of less than 2% among these parts.

Build Overview

This is a desktop-class build (buildClass: "desktop") combining a high-end enthusiast CPU with a professional embedded GPU. The Intel Core i9-12900KF represents the top of Intel's 12th generation desktop lineup, while the NVIDIA RTX 5000 Embedded Ada Generation is a mobile-class GPU designed for embedded systems and workstations. The combined percentile of 69 indicates the system outperforms roughly two-thirds of all configurations in the benchmark database.

The pairing is unusual: the CPU is a high-performance desktop part with a 125 W TDP and 16 cores, while the GPU is a power-efficient embedded part with a 120 W TDP and no external power connectors. This suggests a system where the CPU is the dominant component, and the GPU is chosen for its compute capabilities (32.69 TFLOPS FP32, 16 GB VRAM) rather than raw gaming performance. The GPU's 50th percentile ranking vs all GPUs confirms it is an average performer, while the CPU's 88th percentile ranking shows it is well above average.

The build class of "desktop" with an embedded GPU implies this could be a small form factor workstation or a professional mobile workstation with a desktop CPU. The GPU's display outputs are "Portable Device Dependent," meaning the system relies on external display connectivity, which is typical for embedded applications. The overall tier is mid-to-high, driven primarily by the CPU's strong multi-threaded performance.

Benchmark Performance

The CPU's average benchmark score is 42830, with a percentile rank of 88 vs all CPUs. Key scores include a 3dmark_max_threads result of 11586, a cinebench_r23_multicore score of 34420, and a geekbench_multicore score of 18113. Single-threaded performance is also strong, with a 3dmark_single_thread score of 1069 and a passmark_single_thread score of 4144.

The GPU has an average benchmark score of 0 and a percentile rank of 50 vs all GPUs, with no individual benchmark scores provided in the FACT PACK. Its architectural specifications include 32.69 TFLOPS FP32, 576.0 GB/s memory bandwidth, and 16 GB of GDDR6 VRAM. The GPU's nearestRivals list is empty, indicating no direct comparison data is available.

The combined picture shows a CPU that is significantly more powerful than the GPU in this pairing. The CPU's 88th percentile ranking vs the GPU's 50th percentile ranking creates a bottleneck where the GPU limits overall system performance in graphics-intensive tasks. For CPU-bound workloads like compilation, data compression (passmark score of 537785), and encryption (29502), the system performs at a high level. For GPU-bound tasks like rendering and gaming, performance is moderate, estimated from the GPU's 32.69 TFLOPS and 16 GB VRAM rather than measured FPS data.

The estimated FPS scaling, based on benchmark scores, suggests the system is capable of 1080p high-refresh gaming in esports titles and 1440p medium-to-high settings in AAA games, but will struggle at 4K ultra settings due to the GPU's 1680 MHz boost clock and 120 W TDP. The CPU's headroom (3dmark_16_threads score of 9860) means future GPU upgrades would improve gaming performance without requiring a CPU change.