SYSTEM ANALYZER

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

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

85 / 100
HIGH-END

Power Build

Top 15% 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%
VS
GPU
91%
PROCESSOR

Intel Core i9-13900E

8,676 Benchmark Score
Top 21% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA Quadro RTX 5000

21,629 Benchmark Score
Top 9% 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.

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

# CPU Analysis

The Intel Core i9-13900E is a 24-core, 32-thread desktop processor built on the Raptor Lake architecture, produced on Intel's 10 nm process node. Its base clock runs at 1800.00 MHz, with a boost clock reaching 5.20 GHz, and it carries a 65 W TDP. The chip features a three-tier cache hierarchy: 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB L3 pool. This configuration supports DDR4 and DDR5 memory across a dual-channel bus, with ECC memory support included. The CPU connects via Intel Socket 1700 and provides PCIe Gen 5 with 16 lanes from the CPU only. Integrated UHD Graphics 770 is present, though the pairing with a discrete workstation GPU makes it secondary.

Benchmark results place this processor in a peculiar position. The Cinebench R23 multicore score of 34244 is substantial, reflecting the 24-core design's ability to handle heavily threaded workloads like 3D rendering or video encoding. The single-core R23 score of 4834 is also strong, indicating good responsiveness in lightly threaded tasks. However, the Geekbench multicore score of 8337 and single-core score of 1646 tell a different story when compared to the Cinebench numbers. The average benchmark score across all tests is 8676, which places the CPU in the 65th percentile among all CPUs. This is a surprisingly low percentile for a Core i9-class part with 24 cores.

The nearest rivals highlight the discrepancy. The Intel Core i7-8565U, a low-power mobile chip, has an average score of 8665, just 0.1% behind. The Intel Core i5-8365U scores 8708, 0.4% ahead. The AMD EPYC 7601, a server processor, scores 8619, 0.7% behind. The Intel Core i7-10510U scores 8580, 1.1% behind. The data suggests the i9-13900E's average benchmark performance clusters with these far less powerful chips. This implies the benchmark suite may be weighting single-threaded or mixed workloads heavily, where the 1800 MHz base clock and power constraints could limit sustained performance. The Cinebench scores, which scale well with core count, show the raw capability, but the average tells a story of inconsistent performance across different test types.

# Balance and Bottleneck

The balance between CPU and GPU in this build is unusual. The CPU sits at the 65th percentile, while the GPU—the NVIDIA Quadro RTX 5000—sits at the 67th percentile. The combined percentile for the build is 66. These numbers suggest a relatively balanced pairing in terms of overall benchmark standing, but the workload distribution matters more. The CPU's 24 cores and 32 threads are designed for parallel compute, while the GPU's 3072 shading units and 48 RT cores handle graphics and compute acceleration.

The bottleneck analysis depends on the workload. In CPU-bound tasks like physics simulation or compilation, the i9-13900E's multicore score of 34244 in Cinebench R23 indicates it can drive heavy parallel loads. However, the low base clock of 1800 MHz suggests that in lightly threaded or latency-sensitive tasks, the CPU may not sustain peak performance without boosting. The GPU, with its 16 GB GDDR6 memory and 448.0 GB/s bandwidth, is well-equipped for large datasets, but the PCIe 3.0 x16 interface on the GPU side (versus the CPU's PCIe Gen 5 support) creates a potential bottleneck for data transfer between the two. The CPU can feed data faster than the GPU can receive it, but in practice, this may not matter for most workloads.

The FPS scaling evidence is absent because no measured FPS data exists for this exact combination. The FACT PACK shows no measuredFps rows. Therefore, all frame rate discussions are estimates based on benchmark scores. The CPU's 65th percentile and GPU's 67th percentile suggest neither component dramatically outclasses the other, so the bottleneck will shift based on the game or application. In 1080p gaming, the CPU's single-core performance in Cinebench R23 (4834) becomes more critical, while at 4K, the GPU's compute power (11.15 TFLOPS FP32) dominates. The data indicates a balanced system that may not have a persistent bottleneck but rather a workload-dependent one.

# GPU Analysis

The NVIDIA Quadro RTX 5000 is a Turing-architecture workstation GPU built on TSMC's 12 nm process, with a die size of 545 mm² containing 13,600 million transistors. It operates at a base clock of 1620 MHz and a boost clock of 1815 MHz, with memory running at 1750 MHz (14 Gbps effective). The GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering 448.0 GB/s of bandwidth. The shader configuration includes 3072 shading units, 192 TMUs, and 64 ROPs. For ray tracing and AI acceleration, it has 48 RT cores and 384 tensor cores. The pixel rate is 116.2 GPixel/s, texture rate is 348.5 GTexel/s, and FP32 compute is 11.15 TFLOPS, with FP16 at 22.30 TFLOPS (2:1). The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Benchmark scores for the Quadro RTX 5000 show strength in compute and graphics. The Geekbench OpenCL score is 78999, and the Vulkan score is 92309. The Passmark G3D score is 15616, with G2D at 709. Compute-specific tests show a Passmark GPU compute score of 6525. The average benchmark score is 21629, placing the GPU in the 67th percentile among all GPUs. The nearest rivals include the NVIDIA GeForce GTX 1060 6 GB (avg score 21856, 1% ahead), the NVIDIA RTX A4000 Mobile (21379, 1.2% behind), the AMD Radeon HD 8970M (21237, 1.8% behind), and the AMD Radeon RX Vega M GL (21153, 2.3% behind). This comparison is striking: the Quadro RTX 5000, a high-end workstation GPU with 16 GB VRAM, performs on par with a mid-range consumer card like the GTX 1060 6 GB in average benchmark terms. The data suggests the Quadro's drivers and optimization for professional applications may not translate to raw benchmark scores that reflect its workstation capabilities.

The 16 GB VRAM and 448.0 GB/s bandwidth are critical for rendering large scenes, machine learning models, or video editing timelines. The RT cores and tensor cores enable hardware-accelerated ray tracing and AI denoising, which are valuable in 3D rendering. The compute scores indicate the GPU can handle FP32 workloads, but the FP16 throughput at 22.30 TFLOPS suggests strong performance in mixed-precision tasks.

# FAQ

Q: What is the combined percentile rank of this CPU and GPU pairing?

A: The build has a combined percentile of 66, which places it above the median but not in the top tier.

Q: How does the CPU's average benchmark score compare to its nearest rival?

A: The CPU's average benchmark score is 8676, which is 0.1% ahead of the Intel Core i7-8565U (average score 8665).

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

A: The NVIDIA Quadro RTX 5000 has 16 GB of GDDR6 memory with a 256-bit bus, providing 448.0 GB/s of bandwidth.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900E supports ECC memory and is compatible with both DDR4 and DDR5 modules.

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

A: The Quadro RTX 5000 delivers 11.15 TFLOPS of FP32 compute, with FP16 performance at 22.30 TFLOPS (2:1).

Q: How does the GPU compare to the NVIDIA GeForce GTX 1060 6 GB in average benchmark score?

A: The GTX 1060 6 GB has an average score of 21856, which is 1% higher than the Quadro RTX 5000's average score of 21629.

Q: What is the CPU's boost clock and TDP?

A: The CPU has a boost clock of 5.20 GHz and a TDP of 65 W.

# Benchmark Performance

The Intel Core i9-13900E delivers strong multicore results, with a Cinebench R23 multicore score of 34244 and a Cinebench R20 multicore score of 14382. The Cinebench R15 multicore score is 3451. Single-core performance is solid, with Cinebench R23 single-core at 4834, R20 single-core at 2030, and R15 single-core at 487. Geekbench scores are lower relative to the Cinebench results, with multicore at 8337 and single-core at 1646. The average benchmark score is 8676, placing the CPU in the 65th percentile. The nearest rival, the Intel Core i7-8565U, has an average score of 8665, a 0.1% difference. This proximity to a low-power mobile chip is notable, indicating the CPU's average performance is not reflective of its core count.

The NVIDIA Quadro RTX 5000 shows a different pattern. Its Geekbench OpenCL score is 78999, and the Vulkan score is 92309. Passmark scores vary by API: DirectX 9 at 195, DirectX 10 at 113, DirectX 11 at 140, DirectX 12 at 59, G2D at 709, G3D at 15616, and GPU compute at 6525. The average benchmark score is 21629, placing the GPU in the 67th percentile. The nearest rival, the NVIDIA GeForce GTX 1060 6 GB, scores 21856, which is 1% higher. The GPU's average score is comparable to the RTX A4000 Mobile, which is 1.2% lower.

The combined picture shows a build where both components sit near the 66th percentile. The CPU's multicore scores are high, but the average is dragged down by lower Geekbench results. The GPU's scores are consistent across compute and graphics tests. The data implies that in heavily threaded CPU workloads, the system excels, but in mixed or single-threaded scenarios, the performance is more modest. For GPU workloads, the system delivers reliable mid-to-high-range performance.

# Gaming Performance

No measured FPS data exists for this exact CPU and GPU combination. The FACT PACK contains no measuredFps rows for any game. Therefore, all frame rate figures discussed here are estimates derived from the benchmark scores, not measured results. The CPU's single-core performance, as shown in Cinebench R23 with a score of 4834, suggests it can handle gaming workloads that rely on single-thread performance. The GPU's Passmark G3D score of 15616 indicates it can render modern games, though the DirectX 12 score of 59 is low, which may impact performance in titles that heavily use DirectX 12 features.

For 1080p gaming, the CPU's 24 cores and 5.20 GHz boost clock should provide sufficient frame pacing, while the GPU's 11.15 TFLOPS FP32 compute can drive high frame rates in less demanding titles. At 1440p, the GPU's 16 GB VRAM and 448.0 GB/s bandwidth become more relevant, allowing for higher texture quality. At 4K, the GPU's compute capacity may be the limiting factor, as 11.15 TFLOPS is moderate for ultra-high-resolution rendering. The RT cores and tensor cores enable ray tracing and DLSS-like features, but the DirectX 12 benchmark score of 59 suggests potential inefficiencies in modern APIs. Users should expect playable frame rates at 1080p and 1440p for most games, with 4K performance varying by title and settings. These are estimates, not measured results.

# Who Should Build It

This build targets users who need a desktop workstation with balanced CPU and GPU performance for professional applications. The 24-core CPU with 32 threads and a 34244 Cinebench R23 multicore score is well-suited for content creators who render video or 3D scenes, as these tasks scale with core count. The GPU's 16 GB VRAM and 448.0 GB/s bandwidth support large textures and complex scenes in 3D rendering software. The RT cores and tensor cores accelerate ray-traced renders and AI-based denoising, making this a viable option for architects, product designers, and visual effects artists.

Software developers benefit from the CPU's 24 cores for parallel compilation and the GPU's compute capabilities for testing machine learning models, given the tensor cores and 11.15 TFLOPS FP32 performance. Students in engineering or computer science fields can use the system for simulations and data analysis, where the ECC memory support adds reliability for long-running computations. Small business workstations handling CAD, video editing, or database workloads would find the balance adequate, though the GPU's average benchmark score on par with the GTX 1060 6 GB suggests that pure graphics tasks may not be its strongest suit. Gamers at 1080p or 1440p with high refresh rate monitors could also consider this build, based on the CPU's single-core strength and the GPU's moderate compute power, but they should temper expectations for 4K gaming.

# Build Overview

This is a desktop-class build (buildClass: desktop) pairing the Intel Core i9-13900E with the NVIDIA Quadro RTX 5000. The CPU is a 24-core, 32-thread Raptor Lake processor with a 65 W TDP, while the GPU is a 230 W Turing-architecture workstation card with 16 GB GDDR6 memory. The combined percentile rank is 66, placing this system in the upper-middle tier of all builds. The CPU's 65th percentile and GPU's 67th percentile are closely matched, indicating a balanced configuration.

The build is designed for professional workloads, given the Quadro line's workstation focus and the CPU's high core count. The CPU's Cinebench R23 multicore score of 34244 demonstrates strong parallel compute, while the GPU's compute and rendering capabilities are reflected in its Geekbench OpenCL score of 78999 and Vulkan score of 92309. The overall tier is mid-to-high, meaning it can handle demanding tasks but is not at the absolute top of performance. The data suggests this is a capable workstation for rendering, video editing, and compute tasks, with gaming as a secondary use case.

# Usage Scenarios

High-refresh gaming: The CPU's single-core Cinebench R23 score of 4834 supports high frame rates in most games, while the GPU's Passmark G3D score of 15616 allows for smooth gameplay at 1080p and 1440p. The DirectX 12 score of 59 is a concern for newer titles, but the RT cores and tensor cores may help with ray tracing. Estimated FPS is playable at 1080p and 1440p, but 4K will be limited by the GPU's 11.15 TFLOPS FP32 compute.

Streaming: The 24-core CPU can handle encoding and gameplay simultaneously, with a TDP of 65 W keeping power draw manageable. The GPU's NVENC (implied by Turing architecture, though not explicitly listed) would offload encoding, but the benchmark scores do not directly measure this. The CPU's multicore score of 34244 ensures smooth streaming performance.

Video editing: The CPU's 32 threads accelerate timeline rendering and export, while the GPU's 16 GB VRAM handles large projects. The Geekbench OpenCL score of 78999 indicates strong OpenCL acceleration, which is common in editing software. The 448.0 GB/s bandwidth supports high-resolution footage.

3D rendering: The CPU's Cinebench R23 multicore score of 34244 and the GPU's 48 RT cores and 384 tensor cores make this a solid choice for ray-traced rendering. The GPU's FP32 compute of 11.15 TFLOPS and FP16 of 22.30 TFLOPS (2:1) support both single and mixed-precision workflows. The 16 GB VRAM is sufficient for complex scenes.

Software development: The 24 cores and 32 threads compile code quickly, and the ECC memory support prevents corruption in long builds. The GPU's compute capabilities can accelerate testing of CUDA-based applications, given the tensor cores and 6525 Passmark GPU compute score.

Student and office work: The CPU's single-core performance handles office tasks efficiently, while the GPU is overkill for basic productivity. However, the 65 W CPU TDP makes the build power-efficient for a workstation, and the 16 GB VRAM is future-proof for data-heavy student projects.

# Upgrade Path and Platform

The CPU uses Intel Socket 1700 and supports DDR4 and DDR5 memory across a dual-channel bus, with ECC memory support. The platform provides PCIe Gen 5 with 16 lanes from the CPU, but the GPU uses PCIe 3.0 x16, meaning a future GPU upgrade to a PCIe 4.0 or 5.0 card would be partially bottlenecked by the older interface. The CPU has a 65 W TDP, while the GPU has a 230 W TDP, with a suggested PSU of 550 W. This leaves headroom for additional components, but a significant GPU upgrade would require a higher-wattage PSU.

The CPU is not multiplier-unlocked, limiting overclocking potential. The GPU has a boost clock of 1815 MHz, and its power connectors are 1x 6-pin + 1x 8-pin. The GPU is end-of-life, with the successor being Workstation Ampere, so an upgrade path would involve moving to a newer Quadro or RTX card. The CPU is still active in production, so a future upgrade could involve a higher-tier Raptor Lake or newer generation processor on the same socket, provided BIOS support. The memory support for both DDR4 and DDR5 means users can choose based on availability and cost, but the CPU's memory bandwidth is not listed, so the impact of memory type on performance is unclear from the data. The 36 MB L3 cache is shared across all cores, which benefits workloads that access common data. A sensible next upgrade would be a newer GPU with PCIe 4.0 support and more compute power, along with a PSU upgrade to accommodate the higher power draw.