SYSTEM ANALYZER

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

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

89 / 100
HIGH-END

Power Build

Top 11% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
78%
VS
GPU
99%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i9-12900E

6,611 Benchmark Score
Top 22% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 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

Strong Performance

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

Bottleneck Detected

CPU Bottleneck - Upgrading the weaker component will improve overall performance.

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 i9-12900E + NVIDIA RTX 5000 Ada Generation: A Workstation-Class Desktop Analysis

This pairing combines Intel's 12th-gen Alder Lake desktop CPU with NVIDIA's top-tier workstation GPU, creating a desktop build that sits at the 80th percentile overall. The Intel Core i9-12900E offers 16 cores and 24 threads with a 5.00 GHz boost clock, while the RTX 5000 Ada Generation brings 32 GB of GDDR6 memory and 12800 shading units. The data shows a system clearly aimed at professional workloads rather than pure gaming, with the GPU's 98th percentile ranking dominating the CPU's more modest 62nd percentile position. This combination presents an interesting question: does the CPU hold back the GPU, or is the balance acceptable for the intended professional audience?

CPU Analysis

The Intel Core i9-12900E is built on the Alder Lake-S architecture using Intel's 10 nm process, with a die size of 215 mm². This is a 16-core, 24-thread processor — the classic hybrid configuration of Alder Lake — with a base clock of 2.30 GHz and a boost clock of 5.00 GHz. The cache hierarchy is substantial: 80 KB of L1 per core, 1.25 MB of L2 per core, and 30 MB of shared L3 cache. The CPU supports both DDR4 and DDR5 memory in dual-channel configuration, though ECC memory is not supported. It uses Intel Socket 1700 and provides PCIe Gen 5 with 20 lanes from the CPU. The integrated UHD Graphics 770 provides a basic display output fallback, and the multiplier is unlocked for overclocking.

In Cinebench R23, the multicore score of 23529 indicates strong multi-threaded throughput, while the single-core score of 3321 shows solid per-thread performance. The R20 scores follow a similar pattern: 9882 multicore and 1394 single-core. The Cinebench R15 results are 2371 multicore and 334 single-core. Geekbench scores are 10280 multicore and 1775 single-core. These numbers place the CPU at the 62nd percentile among all CPUs, with an average benchmark score of 6611.

Looking at nearest rivals, the i9-12900E is nearly identical to the Intel Pentium Gold G6405 (deltaPct 0.1) and the Intel Core i9-10940X (deltaPct 0.1). It is 0.4% ahead of the Intel Core i5-13500E and 0.4% behind the Intel Core i5-13400E. This is a telling comparison: a 16-core i9 from the 12th gen sits at essentially the same average benchmark level as a Pentium Gold. The explanation lies in the average benchmark score methodology — the i9-12900E's strengths in multi-threaded workloads are offset by its relatively modest single-thread scores, and the average across all benchmarks pulls it into a mid-range position. For real workloads, the Cinebench R23 multicore score of 23529 suggests strong rendering capability, while the single-core score of 3321 indicates good responsiveness in lightly-threaded applications.

The 65 W TDP is notably low for a 16-core i9, which speaks to the "E" (efficient) designation in the product name. This efficiency comes at the cost of sustained all-core clock speeds, though the 5.00 GHz boost clock shows the CPU can reach high frequencies when needed. The 24 threads handle heavily parallel workloads well, and the 30 MB L3 cache provides ample capacity for data-intensive tasks.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. The AD102 chip contains 76,300 million transistors on a 609 mm² die, yielding a transistor density of 125.3 million per mm². This is a massive chip, and the specifications reflect it: 12800 shading units, 400 texture mapping units, and 176 raster output units. The GPU features 100 RT cores and 400 tensor cores, making it fully equipped for ray-traced rendering and AI-accelerated workloads.

Memory configuration is substantial: 32 GB of GDDR6 on a 256-bit bus, with 2250 MHz memory clock running at 18 Gbps effective. This yields a memory bandwidth of 576.0 GB/s — high, though not extreme by modern standards, the 32 GB capacity is the standout feature for large datasets and high-resolution textures. The base clock is 1155 MHz with a boost clock of 2550 MHz. Pixel rate is 448.8 GPixel/s and texture rate is 1,020.0 GTexel/s. FP32 performance is 65.28 TFLOPS, with FP16 also at 65.28 TFLOPS (1:1 ratio). The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

In Geekbench OpenCL, the RTX 5000 Ada scores 175286, and in Geekbench Vulkan, it scores 194041. This gives an average benchmark score of 184664, placing it at the 98th percentile among all GPUs. The nearest rivals show how close the competition is at this level: the NVIDIA A100 SXM4 80 GB is 0.5% behind, the A100 SXM4 40 GB is 1.3% ahead, the RTX PRO 5000 Blackwell is 1.4% behind, and the GeForce RTX 4090 D is 3.7% behind. The RTX 5000 Ada essentially matches the A100 in compute benchmarks, which is remarkable given the A100's data-center pedigree. The 100 RT cores and 400 tensor cores make this GPU exceptionally well-suited for rendering tasks that leverage ray tracing and AI denoising.

The GPU has a TDP of 250 W and requires a 600 W suggested PSU, with a single 16-pin power connector. It is a dual-slot card measuring 267 mm in length and 112 mm in height, with four DisplayPort 1.4a outputs. The PCIe 4.0 x16 interface is standard for this class. The 32 GB VRAM is the defining feature — for professional workloads like 3D rendering, large language model inference, or scientific visualization, this capacity allows datasets to reside entirely in GPU memory without paging.

Benchmark Performance

The CPU's average benchmark score is 6611, placing it at the 62nd percentile. The GPU's average benchmark score is 184664, placing it at the 98th percentile. The combined system percentile is 80. This disparity is stark: the GPU is near the top of its class, while the CPU sits barely above the median. The combined percentile of 80 reflects the GPU's dominance in pulling the overall system ranking upward.

In Cinebench R23, the CPU's multicore score of 23529 and single-core score of 3321 provide a reference point for CPU-intensive tasks. The GPU's Geekbench Vulkan score of 194041 indicates strong graphics compute capability. When considering the combined picture, the system is clearly GPU-bound in most professional scenarios — rendering, machine learning, and video processing all leverage the GPU's massive compute resources. The CPU's 62nd percentile suggests it can keep up with general system tasks but may lag in extremely CPU-heavy workloads like physics simulation or code compilation with many threads.

The nearest rivals for the CPU (Pentium Gold G6405, Core i9-10940X, Core i5-13500E, Core i5-13400E) all have average scores within 0.4% of the i9-12900E. This clustering is unusual — it suggests that the average benchmark score flattens differences between very different CPUs. For the GPU, the nearest rivals (A100 variants, RTX PRO 5000 Blackwell, RTX 4090 D) are all within 3.7%, showing that the RTX 5000 Ada is competitively positioned at the top of the GPU hierarchy.

Upgrade Path and Platform

The Intel Core i9-12900E uses Socket 1700, which supports both DDR4 and DDR5 memory in dual-channel configuration. This flexibility is valuable for upgrades — users can choose to keep existing DDR4 modules or move to DDR5 for higher bandwidth. The CPU provides 20 PCIe Gen 5 lanes, which is sufficient for a single high-end GPU and a fast NVMe drive. The integrated UHD Graphics 770 offers a fallback display output if the discrete GPU is removed or fails.

The RTX 5000 Ada uses PCIe 4.0 x16, which is fully compatible with the CPU's PCIe Gen 5 slots (backward compatible to Gen 4). The GPU's 250 W TDP and 600 W suggested PSU requirement leave headroom for the 65 W CPU and other components. A 600 W PSU is modest for a system with this GPU class, meaning most existing high-quality power supplies should suffice. The dual-slot form factor and 267 mm length fit in most mid-tower cases, though the 112 mm height should be checked against case clearance.

For a sensible next upgrade, the platform offers several paths. Moving to a higher-core-count 12th-gen i9 (if one exists with a higher TDP) would improve CPU-bound workloads. Alternatively, upgrading to a 13th or 14th-gen CPU on the same socket (if supported by the motherboard BIOS) could boost single-thread performance. The GPU side is already near the top, so the most impactful upgrade would be adding more PCIe Gen 5 NVMe storage or increasing system memory capacity. The 32 GB VRAM on the GPU is unlikely to be a bottleneck for most workloads, so CPU upgrades would provide the most tangible gains.

Balance and Bottleneck

The data reveals a significant imbalance: the GPU at the 98th percentile versus the CPU at the 62nd percentile. In GPU-intensive workloads — 3D rendering, machine learning training, video encoding — the RTX 5000 Ada will be the primary performer, and the CPU's mid-range position will have minimal impact. The 65.28 TFLOPS FP32 performance and 100 RT cores handle the heavy lifting, while the CPU manages scene loading, physics, and driver overhead.

However, in CPU-bound scenarios, the bottleneck reverses. Single-threaded applications that rely on a high boost clock (5.00 GHz here) will see acceptable but not exceptional performance. The CPU's Geekbench single-core score of 1775 and Cinebench R23 single-core of 3321 indicate it can handle everyday tasks well, but it won't match the top-tier CPUs for tasks like software compilation with heavy single-threaded dependencies. The 16-core/24-thread configuration helps in multi-threaded CPU workloads, but the 65 W TDP limits sustained all-core performance.

The combined percentile of 80 suggests that for most professional workloads, the system performs well above average, with the GPU compensating for the CPU's limitations. For gaming, the FPS would be heavily GPU-bound at high resolutions, meaning the CPU's 62nd percentile is less of a concern. At lower resolutions or with competitive settings, the CPU could become a limiting factor in achieving maximum frame rates.

FAQ

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

A: The Intel Core i9-12900E has 16 cores and 24 threads, with a base clock of 2.30 GHz and a boost clock of 5.00 GHz.

Q: How much VRAM does the GPU have, and what is its bandwidth?

A: The NVIDIA RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s.

Q: What is the system's overall performance percentile?

A: The combined system percentile is 80, with the GPU at the 98th percentile and the CPU at the 62nd percentile among all components.

Q: Does the CPU support DDR5 memory?

A: Yes, the Intel Core i9-12900E supports both DDR4 and DDR5 memory in dual-channel configuration.

Q: What is the GPU's FP32 compute performance?

A: The RTX 5000 Ada Generation delivers 65.28 TFLOPS of FP32 performance, with FP16 at the same 65.28 TFLOPS (1:1 ratio).

Q: What power supply is recommended for this GPU?

A: The suggested PSU for the RTX 5000 Ada Generation is 600 W, with the GPU itself having a 250 W TDP.

Q: How does the CPU compare to the Intel Core i5-13500E?

A: The i9-12900E is 0.4% ahead of the i5-13500E in average benchmark score, with scores of 6611 versus 6586.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measured FPS rows, so all frame rate discussions are estimated from the benchmark scores. The GPU's 98th percentile ranking and 32 GB VRAM suggest excellent high-resolution gaming capability, while the CPU's 62nd percentile indicates it may be a limiting factor at lower resolutions. The GPU's Geekbench Vulkan score of 194041 points to strong graphics API performance, which translates well to modern game engines. For 4K gaming, the GPU would be the dominant factor, and the CPU's performance would be sufficient to avoid major bottlenecks. At 1080p with competitive settings, the CPU's single-core performance (Cinebench R23 single-core 3321) could limit maximum frame rates in CPU-intensive titles. The 100 RT cores provide substantial ray-tracing headroom, and the 400 tensor cores enable DLSS-style upscaling if supported. Overall, this system would be expected to deliver high frame rates at 1440p and 4K in most titles, with the GPU's massive compute resources ensuring future-proofing for demanding game engines.

Build Overview

This is a desktop-class build combining the Intel Core i9-12900E with the NVIDIA RTX 5000 Ada Generation. The CPU is a 16-core, 24-thread Alder Lake-S processor with a 5.00 GHz boost clock and 65 W TDP, designed for efficiency-focused desktop systems. The GPU is a workstation-class Ada Lovelace card with 32 GB GDDR6, 12800 shading units, and 65.28 TFLOPS FP32 performance. The combined system sits at the 80th percentile overall, with the GPU at the 98th percentile dominating the CPU's 62nd percentile. This is a professional-grade workstation pairing in a desktop form factor, capable of handling demanding compute and rendering workloads. The CPU's mid-range percentile is notable — it performs adequately but does not match the GPU's top-tier status. The 10 nm process node for the CPU versus 5 nm for the GPU highlights the generational difference between these components.

Who Should Build It

The primary audience for this build is professionals who need exceptional GPU compute power. 3D artists and animators working with large scenes will benefit from the 32 GB VRAM and 100 RT cores, which handle complex ray-traced renders efficiently. Machine learning researchers and data scientists can leverage the 400 tensor cores and 65.28 TFLOPS FP16 performance for model training and inference. Video editors working with high-resolution footage (8K or multi-stream 4K) will find the GPU's encoding capabilities and 576.0 GB/s bandwidth sufficient for smooth timeline performance. Game developers targeting next-gen graphics can use the RTX 5000 Ada to test ray-traced effects and AI upscaling. The CPU's 16 cores and 24 threads handle code compilation and asset processing reasonably well, though the 62nd percentile suggests it is not the primary strength. Small business workstations requiring reliable performance for CAD, simulation, or data analysis will find this build capable, with the GPU providing compute headroom for future workloads.

Usage Scenarios

High-refresh gaming: The GPU's 98th percentile ranking ensures high frame rates at 1440p and 4K, though the CPU's 62nd percentile may limit performance at 1080p with high refresh rates. The 32 GB VRAM eliminates texture memory constraints, and the 100 RT cores enable ray tracing at playable frame rates. Estimated performance is excellent for AAA titles at high settings.

Streaming: The GPU's tensor cores and encoding capabilities support hardware-accelerated streaming with minimal CPU overhead. The CPU's 24 threads handle encoding fallback if needed, and the 5.00 GHz boost clock ensures low-latency encoding. The system's 80th combined percentile indicates smooth multitasking between gaming and streaming software.

Video editing: The GPU's 65.28 TFLOPS FP32 and 576.0 GB/s bandwidth accelerate effects, color grading, and export. The 32 GB VRAM allows entire 4K timelines to reside in GPU memory. The CPU's 16 cores provide adequate preview rendering, though the 62nd percentile suggests it is not the primary accelerator for this workload.

3D rendering: This is the strongest scenario. The RTX 5000 Ada's 12800 shading units and 100 RT cores deliver exceptional render performance in GPU-accelerated engines. The 32 GB VRAM handles large scenes and high-resolution textures without paging. The CPU's Cinebench R23 multicore score of 23529 provides backup CPU rendering when needed.

Software development: The CPU's 16 cores and 24 threads compile code efficiently, and the 30 MB L3 cache speeds up iterative builds. The GPU can accelerate machine learning model training and testing. The 62nd percentile CPU ranking is adequate for most development workflows, though extremely large codebases may see slower compile times.

Student and office work: The system is overkill for typical productivity tasks, but the integrated UHD Graphics 770 provides a fallback if the GPU is idle. The CPU's single-core performance (Geekbench 1775, Cinebench R23 single-core 3321) handles office applications smoothly. The 65 W TDP keeps power consumption reasonable for a workstation-class build.