SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900E + NVIDIA RTX 4000 SFF 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 4000 SFF Ada Generation

117,088 Benchmark Score

Top 1% Market Ranking

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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.

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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

# Balance and Bottleneck

The Intel Core i9-13900E paired with the NVIDIA RTX 4000 SFF Ada Generation creates an unusual desktop combination where the performance ceiling is defined almost entirely by the GPU, though the CPU’s own benchmark positioning introduces a separate set of constraints. The CPU sits at the 65th percentile among all processors, with an average benchmark score of 8,676, placing it in a mid-range tier that is surprisingly close to several low-power mobile chips. Its nearest rivals include the Intel Core i7-8565U at 8,665 (0.1% slower), the Intel Core i5-8365U at 8,708 (0.4% faster), and the AMD EPYC 7601 at 8,619 (0.7% slower). This clustering indicates that despite having 24 cores and 32 threads, the i9-13900E’s real-world compute throughput, as measured by the aggregated benchmark suite, is not dramatically higher than these far smaller parts — a sign that the CPU’s performance is heavily gated by its 65-watt TDP and modest base clock of 1.80 GHz.

The GPU, in stark contrast, is an extreme outlier. The RTX 4000 SFF Ada Generation achieves a 95th percentile ranking among all GPUs, with an average benchmark score of 117,088. Its nearest rivals are the NVIDIA GB10 at 117,393 (0.3% faster), the AMD Radeon PRO W7700 at 118,976 (1.6% faster), and the NVIDIA Tesla V100 SXM2 16 GB at 114,395 (2.4% slower). The delta between the GPU’s percentile (95) and the CPU’s percentile (65) is a 30-point gap, which means that in GPU-bound workloads — such as high-resolution gaming, 3D rendering with ray tracing, or CUDA-accelerated compute — the RTX 4000 SFF will be waiting on the i9-13900E to feed it data. The combined percentile for this pairing is 80, which sits between the two components, reflecting that the CPU pulls the overall system down from what the GPU alone could achieve.

In CPU-bound scenarios, such as single-threaded productivity or lightly threaded software development tasks, the i9-13900E’s single-core scores tell a telling story. Its Cinebench R23 single-core score is 4,834, which is respectable for a 65-watt part but far below what the 24-core configuration might suggest. The boost clock of 5.20 GHz helps, but the base clock of 1.80 GHz means that sustained all-core workloads will see significant thermal and power throttling, given the 65 W TDP. The GPU’s 70 W TDP and the system’s suggested 250 W PSU further indicate that the power delivery is designed for efficiency, not raw throughput. For gaming at 1080p or 1440p, the CPU will likely become the bottleneck at lower resolutions where frame rates are high, while at 4K the GPU’s work will dominate and the CPU’s relative weakness will be less apparent.

# FAQ

Q: What is the combined performance tier of this CPU and GPU pairing?

A: The combined percentile is 80, placing it in the upper quintile of all desktop configurations, though the CPU’s 65th percentile and GPU’s 95th percentile create an unbalanced profile where the GPU is significantly stronger than the CPU.

Q: How does the i9-13900E compare to its closest CPU rivals in aggregate benchmarks?

A: The i9-13900E’s average benchmark score of 8,676 is effectively tied with the Intel Core i7-8565U (8,665, 0.1% slower) and the Intel Core i5-8365U (8,708, 0.4% faster), while it leads the AMD EPYC 7601 (8,619) by 0.7%.

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

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

Q: Is this system suitable for 4K gaming?

A: Based on GPU performance, the RTX 4000 SFF’s 95th percentile ranking suggests it can handle 4K workloads, but with no measured FPS data for this exact combination, 4K gaming estimates must be derived from the GPU’s geekbench scores of 124,812 (OpenCL) and 109,364 (Vulkan).

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900E supports ECC memory, and it can use both DDR4 and DDR5 in a dual-channel configuration, though the memory bus width is not specified in the data.

Q: What is the GPU’s power requirement and physical size?

A: The RTX 4000 SFF has a 70 W TDP, requires a 250 W suggested PSU, uses no external power connectors, and measures 168 mm (6.6 inches) in length and 69 mm (2.7 inches) in height, fitting in a dual-slot form factor.

Q: How does the GPU compare to its nearest rival, the AMD Radeon PRO W7700?

A: The RTX 4000 SFF’s average benchmark score of 117,088 is 1.6% lower than the Radeon PRO W7700’s 118,976, making it slightly slower in aggregate compute performance.

# Benchmark Performance

The CPU’s benchmark results reveal a processor that is optimized for power efficiency rather than peak multi-threaded performance. In Cinebench R15, the i9-13900E scores 3,451 in multi-core and 487 in single-core. Moving to Cinebench R20, the scores are 14,382 multi-core and 2,030 single-core. The Cinebench R23 results show 34,244 multi-core and 4,834 single-core, which is a strong multi-threaded showing for a 65 W part but still places the CPU at only the 65th percentile overall. Geekbench scores are 8,337 multi-core and 1,646 single-core. These numbers, when averaged to 8,676, place the CPU in a cluster with far smaller mobile processors, indicating that the i9-13900E’s 24 cores and 32 threads do not translate into proportionally higher sustained throughput due to power and thermal constraints.

The GPU’s benchmark scores are dramatically different in scale. The Geekbench OpenCL score is 124,812, and the Vulkan score is 109,364, averaging to 117,088. This places the RTX 4000 SFF at the 95th percentile among all GPUs, putting it in the top 5% of graphics cards. Its nearest rival, the NVIDIA GB10, scores 117,393, which is only 0.3% higher, making the two effectively equivalent in compute performance. The AMD Radeon PRO W7700 is 1.6% faster at 118,976, while the NVIDIA Tesla V100 SXM2 16 GB is 2.4% slower at 114,395. The RTX 4000 SFF also leads the NVIDIA RTX A5500 Mobile (113,944) by 2.8%. This GPU is clearly a workstation-class part with compute capabilities that far exceed what the CPU can feed it in many workloads, creating a system where the GPU is the dominant component.

When looking at the combined picture, the system’s 80th percentile ranking reflects the CPU’s drag on the GPU’s potential. In GPU-bound tasks like ray-traced rendering or OpenCL compute, the system will perform near the GPU’s 95th percentile level, but in CPU-bound tasks or mixed workloads, the 65th percentile CPU will limit overall throughput. The lack of measured FPS data for this specific pairing means that gaming performance must be inferred from the component scores, but the 30-point percentile gap between CPU and GPU is a clear indicator that the CPU is the primary bottleneck in frame-rate-limited scenarios.

# Usage Scenarios

High-Refresh Gaming (1080p/1440p): This is where the CPU bottleneck will be most apparent. The i9-13900E’s 65th percentile ranking and single-core score of 4,834 in Cinebench R23 suggest that it can push high frame rates in most titles, but the GPU’s 95th percentile means it is overqualified for 1080p gaming. At 1440p, the GPU will be more fully utilized, but the CPU’s relatively low aggregate score compared to its core count hints that frame pacing may suffer in CPU-intensive titles. Without measured FPS data, expect that the system will deliver high but not elite frame rates at 1080p, with the CPU holding back the GPU.

Streaming: The i9-13900E’s 24 cores and 32 threads, combined with a 5.20 GHz boost clock, provide ample headroom for encoding and streaming while gaming. The CPU’s 65th percentile aggregate score is modest, but the multi-threaded Cinebench R23 score of 34,244 indicates strong parallel throughput. The GPU’s 192 tensor cores and 48 RT cores also enable hardware-accelerated encoding and ray tracing, making this a capable streaming setup, though the CPU’s power limits may cause thermal throttling during sustained loads.

Video Editing: The combination of the CPU’s 36 MB of shared L3 cache and the GPU’s 20 GB of VRAM is well-suited for video editing in applications like Premiere Pro or DaVinci Resolve. The GPU’s 280.0 GB/s memory bandwidth and 19.17 TFLOPS of FP32 performance will accelerate effects and rendering, while the CPU’s multi-core scores handle timeline scrubbing and export tasks. The 95th percentile GPU ensures smooth playback of high-resolution footage, though the CPU’s 65th percentile may create occasional bottlenecks in proxy generation or multi-track processing.

3D Rendering: This is the system’s strongest scenario. The RTX 4000 SFF’s 95th percentile ranking, 6,144 shading units, and 19.17 TFLOPS of FP32 performance make it a formidable renderer for Blender, Maya, or Octane. The GPU’s 48 RT cores accelerate ray-traced renders, and its 20 GB VRAM can hold large scenes. The CPU’s 34,244 Cinebench R23 multi-core score will handle physics simulations and scene preparation, but rendering itself will be GPU-bound, where the system performs near the top 5% of all GPUs.

Software Development: The i9-13900E’s 32 threads and 5.20 GHz boost clock are excellent for compilation tasks, and the 65 W TDP means it can run continuously without excessive cooling requirements. Geekbench multi-core score of 8,337 indicates solid parallel compilation performance, though the 65th percentile ranking suggests it is not a top-tier developer CPU. The GPU is largely irrelevant for most development tasks, but for machine learning workloads, the 192 tensor cores and 20 GB VRAM provide substantial compute capacity.

Student and Office Work: This pairing is massively overprovisioned for typical office tasks. The CPU’s single-core score of 4,834 in Cinebench R23 is more than sufficient for word processing, spreadsheets, and web browsing, while the GPU’s 70 W TDP and compact dual-slot design make it suitable for small-form-factor workstations. The 65 W CPU TDP and 250 W suggested PSU mean the system runs cool and quiet, which is ideal for shared workspaces, though the performance is far beyond what most office workloads require.

# CPU Analysis

The Intel Core i9-13900E is a Raptor Lake-S architecture processor built on Intel’s 10 nm process node, with a die size of 257 mm². It features 24 cores and 32 threads, which breaks down into a hybrid configuration of performance and efficiency cores, though the fact pack does not specify the exact mix. The base clock is 1.80 GHz, which is exceptionally low for a Core i9, and the boost clock reaches 5.20 GHz. This wide frequency range, combined with a 65 W TDP, indicates that the CPU is designed for power-constrained environments where burst performance is needed but sustained all-core loads are limited. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache, which is substantial and helps mitigate the low base clock in latency-sensitive workloads.

The CPU’s benchmark scores reflect this power-limited design. The Cinebench R23 multi-core score of 34,244 is strong, but the single-core score of 4,834 is more modest, and the Geekbench multi-core score of 8,337 is surprisingly low for a 24-core part. The average benchmark score of 8,676 places it at the 65th percentile, and the nearest rivals are all low-power mobile or older server chips, which underscores that the i9-13900E’s performance is not in line with its core count. The 10 nm process node and 65 W TDP mean that the CPU will not sustain high clocks under all-core loads, and the 1.80 GHz base clock is likely to be the operating point for heavy multi-threaded workloads. For real-world tasks, this means the CPU excels at short bursts of single-threaded work (thanks to the 5.20 GHz boost) and moderate parallel workloads, but it will lag behind higher-TDP desktop CPUs in prolonged rendering or compilation tasks.

The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support, which is a notable feature for workstation builds. It also provides PCIe Gen 5 with 16 lanes from the CPU, enabling fast NVMe storage and GPU connectivity. The integrated UHD Graphics 770 provides a fallback display output, which is useful for troubleshooting or office builds without a discrete GPU. The CPU is not multiplier-unlocked, meaning overclocking is not officially supported, and its production status is active with a release date of January 3, 2023. Its part number is SRMG2, and it uses the Intel Socket 1700.

# Gaming Performance

The FACT PACK contains no measured FPS data for the Intel Core i9-13900E combined with the NVIDIA RTX 4000 SFF Ada Generation. The measuredFpsUltraByGame field is empty, and dataIsMeasured is false. Therefore, all gaming performance figures discussed here are estimates derived from the benchmark scores of the individual components, not from direct testing of this specific pairing.

Based on the GPU’s 95th percentile ranking and its Geekbench OpenCL score of 124,812, the RTX 4000 SFF should deliver high frame rates at 1440p and 4K in most modern titles. The 20 GB of VRAM is more than sufficient for ultra-texture packs and high-resolution assets, and the 280.0 GB/s memory bandwidth, while not exceptional, is adequate for 1440p gaming. The GPU’s 19.17 TFLOPS of FP32 performance and 48 RT cores suggest strong rasterization and ray-tracing capabilities. However, the CPU’s 65th percentile ranking and single-core score of 4,834 in Cinebench R23 indicate that at 1080p, where frame rates are CPU-bound, the i9-13900E may limit performance in esports or fast-paced shooters. At 1440p and 4K, the GPU becomes the bottleneck, and the system should approach the GPU’s performance ceiling.

In GPU-bound scenarios, the system should achieve playable frame rates at 4K in most games, with ultra settings, based on the GPU’s top-5% ranking. At 1440p, frame rates should be high, often exceeding 60 FPS in demanding titles, and at 1080p, the CPU may hold the system to lower frame rates than the GPU could theoretically deliver. Since these are estimates, actual performance will vary depending on game optimization, driver maturity, and CPU thermal behavior under sustained gaming loads.

# Who Should Build It

This system is best suited for professionals and enthusiasts who prioritize GPU compute performance over CPU throughput. The RTX 4000 SFF Ada Generation is a workstation-class GPU, and its 95th percentile ranking makes it ideal for 3D artists, video editors, and machine learning engineers who need CUDA acceleration and 20 GB of VRAM for large datasets. The CPU’s 65th percentile ranking and 65 W TDP mean it is not a top-tier gaming or rendering CPU, but it is more than adequate for feeding the GPU in GPU-bound workloads, especially at 1440p and 4K resolutions.

Gamers targeting 1440p or 4K with ultra settings will benefit from the GPU’s strength, though they should be aware that the CPU may limit frame rates at 1080p or in CPU-intensive titles. Content creators working with video editing or 3D rendering will find the GPU’s 19.17 TFLOPS and 48 RT cores to be a significant accelerator, and the CPU’s 32 threads provide sufficient multi-tasking capability. Software developers, particularly those working on machine learning or CUDA-accelerated applications, will appreciate the GPU’s 192 tensor cores and 20 GB VRAM, while the CPU’s ECC memory support adds reliability for long-running jobs. Students and office workers will find this system overkill, but its compact GPU size (168 mm length, dual-slot) and low power draw make it suitable for small workstations where space and heat are concerns. Small business workstations that require GPU acceleration for CAD or scientific computing will also benefit from this pairing.

# Upgrade Path and Platform

The Intel Core i9-13900E uses the Intel Socket 1700, which is the LGA 1700 platform. This socket supports DDR4 and DDR5 memory in a dual-channel configuration, and the CPU’s ECC memory support is a plus for workstation reliability. The platform provides PCIe Gen 5 with 16 lanes from the CPU, which is forward-looking for NVMe storage and high-bandwidth peripherals. The GPU uses PCIe 4.0 x16, which is fully compatible with the CPU’s PCIe Gen 5 slots, and the bus interface is not a bottleneck for the RTX 4000 SFF’s 280.0 GB/s memory bandwidth.

The system’s power requirements are modest: the CPU has a 65 W TDP, the GPU has a 70 W TDP, and the suggested PSU is 250 W. This leaves significant headroom for upgrades, as a 250 W PSU can handle the current components with room for additional drives or fans. A sensible next upgrade would be to replace the CPU with a higher-TDP part from the same socket, such as a more powerful Raptor Lake chip, though the 65 W TDP of the current CPU and the 250 W PSU suggest that the motherboard and cooling are designed for low-power operation. Alternatively, upgrading the GPU to a more powerful workstation card is possible, but the 70 W TDP of the current GPU means the power delivery system is not designed for high-power graphics cards. The platform’s memory support for both DDR4 and DDR5 provides flexibility, but the dual-channel bus width limits memory bandwidth compared to higher-end platforms.

# Build Overview

This is a desktop build pairing the Intel Core i9-13900E with the NVIDIA RTX 4000 SFF Ada Generation. The CPU is a 24-core, 32-thread Raptor Lake-S part with a 65 W TDP, and the GPU is a 70 W workstation-class card with 20 GB of GDDR6 memory. The combined percentile for this pairing is 80, placing it in the upper quintile of all desktop configurations, but the imbalance between the CPU’s 65th percentile and the GPU’s 95th percentile is notable. The system is designed for GPU-accelerated workloads where the GPU’s compute power is the primary driver, and the CPU’s lower performance is acceptable in those scenarios. The build class is desktop, and the overall tier is high-end for GPU compute but mid-range for CPU-bound tasks. The lack of measured FPS data means gaming performance is estimated, but the GPU’s top-5% ranking suggests strong 1440p and 4K capability.

# GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU built on the Ada Lovelace architecture, using the AD104 chip fabricated on TSMC’s 5 nm process node. The chip contains 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8 million per mm². The GPU has 6,144 shading units, 192 texture mapping units, and 64 raster operation units, which are substantial for a 70 W part. It includes 48 RT cores and 192 tensor cores, enabling hardware-accelerated ray tracing and AI inference. The base clock is 720 MHz, and the boost clock is 1,560 MHz, which are low compared to consumer GPUs but reflect the power-efficient design. The pixel rate is 99.84 GPixel/s, and the texture rate is 299.5 GTexel/s, with FP32 and FP16 performance both rated at 19.17 TFLOPS (1:1 ratio for FP16).

The GPU’s memory configuration is unusual: 20 GB of GDDR6 on a 160-bit bus, delivering 280.0 GB/s of bandwidth. This is lower bandwidth than many consumer GPUs, but the high VRAM capacity is aimed at workstation tasks that require large datasets. The memory clock is 1750 MHz, with an effective data rate of 14 Gbps. The GPU’s benchmark scores are strong: Geekbench OpenCL scores 124,812, and Vulkan scores 109,364, averaging to 117,088. This places it at the 95th percentile, with the nearest rival, the NVIDIA GB10, only 0.3% faster. The AMD Radeon PRO W7700 is 1.6% faster, while the NVIDIA Tesla V100 SXM2 16 GB is 2.4% slower, and the RTX A5500 Mobile is 2.8% slower. For rendering workloads, the GPU’s 48 RT cores and 19.17 TFLOPS of FP32 performance make it highly capable for ray-traced scenes, and the 20 GB VRAM allows for large textures and complex geometry. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, and it has four mini-DisplayPort 1.4a outputs. Its physical dimensions are 168 mm in length and 69 mm in height, fitting a dual-slot form factor, and it requires no external power connectors, drawing power entirely from the PCIe slot. The 70 W TDP and 250 W suggested PSU make it an energy-efficient choice for workstation builds.

Rate My PC: Intel Core i9-13900E + NVIDIA RTX 4000 SFF Ada Generation

Power Build

System Balance Analysis

Intel Core i9-13900E

NVIDIA RTX 4000 SFF 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

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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