SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900E + NVIDIA RTX 5000 Ada Generation

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

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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89 Score

Top 11% Ranking

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

Well Balanced

CPU

79%

GPU

99%

PROCESSOR

Intel Core i9-13900E

8,676 Benchmark Score

Top 21% Market Ranking

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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

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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 i9-13900E and NVIDIA RTX 5000 Ada Generation represent a pairing of a power-efficient 24-core desktop processor with a workstation-class GPU built on the Ada Lovelace architecture. This analysis draws exclusively from the provided benchmark data, noting that no measured frames-per-second (FPS) rows exist for this exact combination; all FPS discussions are therefore estimates derived from the CPU and GPU’s synthetic benchmark scores and their respective percentile positions.

Upgrade Path and Platform

The platform foundation for this build is the Intel Socket 1700, which hosts the Core i9-13900E. This is a Raptor Lake-S architecture chip, part of Intel’s Core 13th Gen series, and it supports both DDR4 and DDR5 memory across a dual-channel memory bus. The processor also includes ECC memory support, which is a notable feature for workstation reliability, and it provides PCIe Gen 5 connectivity with 16 lanes available from the CPU. The integrated UHD Graphics 770 offers a basic display output fallback, though the discrete RTX 5000 Ada Generation GPU will handle the heavy lifting.

The CPU’s thermal design power (TDP) is rated at 65 watts, which is remarkably modest for a 24-core part, indicating that a standard air cooler should suffice for most workloads; however, the boost clock reaches 5.20 GHz, so sustained all-core loads may benefit from a more robust cooling solution. The GPU’s TDP is 250 watts, and the suggested power supply unit (PSU) for the system is 600 watts, which provides a clear headroom guideline for the entire build. The RTX 5000 Ada Generation uses a single 16-pin power connector and occupies a dual-slot width, so chassis clearance and PSU cable compatibility are the primary physical considerations.

For a sensible next upgrade, the data points to the memory subsystem and storage. Since the CPU supports both DDR4 and DDR5, moving from DDR4 to DDR5 could improve memory bandwidth, though the benchmark scores do not quantify the exact gain. The PCIe Gen 5 lanes on the CPU are also available for future high-speed NVMe storage devices. The GPU’s PCIe 4.0 x16 interface is fully compatible with the CPU’s PCIe Gen 5 slot, meaning the graphics card is not a bottleneck in terms of bus bandwidth. A user looking to extend the platform’s life could also consider adding more of the 32 GB VRAM capacity—though that is already generous—or upgrading the CPU to a higher-tier Raptor Lake part, but the 13900E’s 65W TDP suggests it is already positioned as a power-efficient flagship rather than a performance-maximized one.

Benchmark Performance

The combined percentile for this CPU-GPU pairing is 82, placing it in the upper tier of all desktop configurations. The CPU’s own percentile versus all CPUs is 65, while the GPU’s percentile versus all GPUs is a much higher 98, indicating that the graphics card is the dominant component in this pairing. The average benchmark score for the CPU is 8676, and for the GPU it is 184664, which further underscores the GPU’s performance advantage.

Examining the CPU benchmarks, the Core i9-13900E achieves a Cinebench R23 multi-core score of 34244 and a single-core score of 4834. In Cinebench R20, the scores are 14382 for multi-core and 2030 for single-core, while Cinebench R15 shows 3451 multi-core and 487 single-core. Geekbench results are 8337 for multi-core and 1646 for single-core. The GPU’s Geekbench OpenCL score is 175286, and its Vulkan score is 194041, which are the only two GPU benchmark entries.

The CPU’s nearest rivals, based on average benchmark score, are the Intel Core i7-8565U (8665, delta 0.1%), Intel Core i5-8365U (8708, delta -0.4%), AMD EPYC 7601 (8619, delta 0.7%), and Intel Core i7-10510U (8580, delta 1.1%). These deltas are all within roughly 1%, meaning the 13900E’s average score of 8676 is statistically indistinguishable from these four parts in aggregate performance, despite the 13900E having far more cores and threads. This is a critical insight: the average benchmark score is heavily weighted by single-threaded and lightly-threaded tests, which masks the multi-core advantage. The GPU’s nearest rivals are the NVIDIA A100 SXM4 80 GB (183725, delta 0.5%), NVIDIA A100 SXM4 40 GB (187147, delta -1.3%), NVIDIA RTX PRO 5000 Blackwell (182109, delta 1.4%), and NVIDIA GeForce RTX 4090 D (178050, delta 3.7%). The RTX 5000 Ada Generation sits essentially at parity with the A100 variants and the Blackwell successor, while being 3.7% ahead of the RTX 4090 D in average benchmark score.

The combined picture is one of a GPU that leads its class and a CPU that, while performing admirably in multi-core, pulls the average down due to its modest single-core scores relative to modern high-frequency parts.

CPU Analysis

The Intel Core i9-13900E is a 24-core, 32-thread processor built on Intel’s 10 nm process node, with a die size of 257 mm². The base clock is 1800 MHz, which is low, but the boost clock reaches 5.20 GHz, allowing for significant single-thread performance when needed. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB L3 cache. The architecture is Raptor Lake, which is the successor to Alder Lake, and it is a desktop-class part that is currently marked as Active in production.

The benchmark scores reveal a dual personality. In Cinebench R23 multi-core, the score of 34244 is substantial, reflecting the 24 cores’ ability to handle heavily threaded workloads. However, the Geekbench multi-core score of 8337 is lower than what one might expect from a 32-thread part, suggesting that the 1800 MHz base clock limits sustained all-core performance under certain test conditions. The single-core scores are solid but not class-leading: 4834 in Cinebench R23 and 1646 in Geekbench single-core. These numbers place the CPU in a mid-pack position for single-threaded tasks, which is consistent with its 65th percentile ranking among all CPUs.

For real workloads, the multi-core scores indicate strong performance in video encoding, 3D rendering, and software compilation, where all cores are utilized. The single-core scores, however, suggest that tasks like gaming physics, legacy software, or lightly-threaded applications will not see the same level of dominance. The 65W TDP is the standout feature here: it achieves this level of multi-core performance at a power envelope that is typical of mid-range processors, making it an efficient choice for always-on workstations or systems where power draw is a concern. The ECC memory support further cements its workstation credentials, as data integrity is critical in financial or scientific computing.

Usage Scenarios

High-refresh gaming: The GPU’s 98th percentile ranking and its Geekbench Vulkan score of 194041 suggest it can drive high-refresh monitors in most titles, but the CPU’s single-core scores (e.g., 4834 in Cinebench R23) may limit frame rates in CPU-bound scenarios. Estimated FPS would be high, but not maxed-out at 240Hz in esports titles due to the CPU’s modest single-thread performance.

Streaming: The 24 cores and 32 threads provide ample headroom for simultaneous game capture, encoding, and streaming. The multi-core Cinebench R23 score of 34244 indicates that the CPU can handle x264 encoding at high presets without significantly impacting game performance, though the GPU’s NVENC hardware would offload this task entirely, given its Ada Lovelace architecture.

Video editing: The combination of a strong multi-core CPU (14382 in Cinebench R20 multi-core) and a GPU with 32 GB of VRAM and 576.0 GB/s bandwidth makes for a capable editing workstation. Timeline scrubbing, effects rendering, and export tasks would benefit from both the CPU’s core count and the GPU’s compute power, with the 98th percentile GPU ranking ensuring smooth previews of high-resolution footage.

3D rendering: The CPU’s Cinebench scores (34244 in R23 multi-core) are robust for CPU-based rendering, while the GPU’s FP32 performance of 65.28 TFLOPS and 100 RT cores make it a formidable choice for GPU-accelerated renderers like Blender Cycles or V-Ray. The 32 GB VRAM allows for large scenes that would exceed the memory capacity of consumer cards.

Software development: The 24 cores and 32 threads are ideal for parallel compilation tasks, and the 36 MB L3 cache helps with frequently accessed code. The ECC memory support is a plus for long build servers where stability is paramount. The Geekbench multi-core score of 8337 indicates strong throughput for multi-threaded build tools.

Student and office work: This configuration is overkill for typical office tasks, but the 65W CPU TDP makes it a low-power option for a quiet workstation. The integrated UHD Graphics 770 can handle basic display tasks if the discrete GPU is idle, though the RTX 5000 Ada Generation’s 4x DisplayPort 1.4a outputs are more than sufficient for multi-monitor setups.

Who Should Build It

This build targets professionals who need workstation-grade GPU performance without compromising on CPU efficiency. The GPU’s 98th percentile ranking and its 32 GB of VRAM make it suitable for 3D artists, CAD engineers, and data scientists working with large datasets or complex visualizations. The CPU’s 65W TDP and ECC support make it a strong fit for small business workstations that run 24/7, where power draw and data integrity are priorities. Gamers at 4K resolution would benefit most from the GPU’s high percentile, as the GPU becomes the primary bottleneck at that resolution, mitigating the CPU’s lower single-core scores. Content creators editing 8K video or rendering complex scenes will find the combination of 24 CPU cores and the GPU’s 65.28 TFLOPS FP32 performance to be a balanced accelerator. Students in engineering or computer science programs would appreciate the ECC memory support and multi-core compilation speed, though the cost of the GPU likely places this beyond a typical student budget. Small business workstations handling financial modeling, database queries, or moderate simulation workloads would see robust performance, especially with the 32 GB VRAM enabling large in-memory data processing on the GPU.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is built on the AD102 chip, fabricated on TSMC’s 5 nm process, with a massive 76,300 million transistors on a 609 mm² die. The GPU has 12,800 shading units, 400 texture mapping units, and 176 raster operation units, along with 100 RT cores and 400 tensor cores. The base clock is 1155 MHz, boosting to 2550 MHz, and the memory runs at 2250 MHz (18 Gbps effective) across a 256-bit bus, yielding a bandwidth of 576.0 GB/s. The 32 GB of GDDR6 memory is a defining feature, providing ample capacity for large 3D scenes, high-resolution textures, or AI model weights.

The benchmark results—Geekbench OpenCL at 175286 and Vulkan at 194041—place this GPU in the 98th percentile of all GPUs. Its nearest rival, the NVIDIA A100 SXM4 80 GB, has an average score of 183725, which is 0.5% lower, meaning the RTX 5000 Ada Generation is essentially at parity with a data-center-class accelerator in compute benchmarks. The RTX 5000 Ada Generation’s Vulkan score being higher than its OpenCL score suggests strong driver optimization for graphical workloads, while the FP32 and FP16 performance are both rated at 65.28 TFLOPS (1:1), indicating balanced compute for both precision formats. The pixel rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s are high, supporting smooth rasterization at high resolutions. For rendering, the 100 RT cores accelerate ray tracing, and the 400 tensor cores enable DLSS and AI-based denoising, making this GPU a versatile tool for both real-time and offline rendering workflows. The PCIe 4.0 x16 interface is sufficient for this class of card, and the dual-slot design with a 267 mm length fits most mid-tower cases.

FAQ

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

A: The combined percentile is 82, with the CPU at the 65th percentile and the GPU at the 98th percentile.

Q: How does the CPU compare to its nearest rival, the Intel Core i7-8565U?

A: The Core i9-13900E has an average benchmark score of 8676, which is 0.1% higher than the Core i7-8565U’s 8665, indicating near-identical aggregate performance despite the 13900E having more cores.

Q: What is the GPU’s memory bandwidth and capacity?

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

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900E supports ECC memory, which is beneficial for workstation reliability.

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

A: The suggested PSU is 600 W, based on the GPU’s 250 W TDP and the CPU’s 65 W TDP.

Q: How does the GPU compare to the NVIDIA GeForce RTX 4090 D?

A: The RTX 5000 Ada Generation has an average benchmark score of 184664, which is 3.7% higher than the RTX 4090 D’s 178050.

Q: What is the CPU’s boost clock frequency?

A: The Intel Core i9-13900E has a boost clock of 5.20 GHz, with a base clock of 1800 MHz.

Build Overview

This is a desktop-class build pairing the Intel Core i9-13900E, a 24-core Raptor Lake processor, with the NVIDIA RTX 5000 Ada Generation, a workstation GPU based on the AD102 chip. The CPU is designed for power efficiency with a 65W TDP, while the GPU is a performance giant with a 250W TDP and a 98th percentile ranking among all GPUs. The combined percentile of 82 places this system in the upper echelon of desktop configurations, though the GPU clearly dominates the performance profile. The CPU’s 65th percentile is respectable, but it is not in the same tier as the GPU. This pairing is best described as a workstation-focused build where the GPU’s compute capabilities are the primary driver, and the CPU provides sufficient multi-core throughput without excessive power draw. The 32 GB of VRAM and ECC memory support on the CPU reinforce the professional orientation of this system.

Balance and Bottleneck

The data indicates a significant imbalance between the CPU and GPU in terms of relative performance. The GPU sits at the 98th percentile, while the CPU is at the 65th percentile, a 33-point gap. This suggests that in GPU-bound workloads—such as high-resolution rendering, large-scale simulation, or AI inference—the RTX 5000 Ada Generation will be the limiting factor only in the sense that it is the faster component; the CPU will likely be the bottleneck in scenarios that require high single-threaded performance. For example, in gaming at lower resolutions where FPS is often CPU-limited, the CPU’s lower single-core scores (4834 in Cinebench R23) would constrain the frame rate below what the GPU could otherwise deliver. Conversely, in multi-threaded workloads like 3D rendering or video encoding, the CPU’s 24 cores (34244 in Cinebench R23 multi-core) can feed the GPU adequately, but the GPU’s 65.28 TFLOPS FP32 performance means it will finish its portion of the work faster than the CPU can supply new tasks. The estimated FPS scaling, derived from the benchmark scores rather than measured data, would show the GPU being underutilized in CPU-light tasks. For a more balanced system, one would pair this GPU with a CPU that has a higher single-core percentile, though the current CPU’s 65W TDP is a compelling trade-off for efficiency-focused workstations. Ultimately, the GPU is the star here, and the CPU is a capable, power-sipping partner that holds back peak performance in lightly-threaded tasks but excels in sustained multi-core workloads.

Rate My PC: Intel Core i9-13900E + NVIDIA RTX 5000 Ada Generation

Power Build

System Balance Analysis

Intel Core i9-13900E

NVIDIA RTX 5000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

Upgrade Path and Platform

Benchmark Performance

CPU Analysis

Usage Scenarios

Who Should Build It

GPU Analysis

FAQ

Build Overview

Balance and Bottleneck

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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