SYSTEM ANALYZER

Rate My PC: Intel Core i5-13500E + NVIDIA GeForce RTX 5090

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

88 / 100
HIGH-END

Power Build

Top 12% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
77%
VS
GPU
98%

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

PROCESSOR

Intel Core i5-13500E

6,586 Benchmark Score
Top 23% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090

79,842 Benchmark Score
Top 2% 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

This build pairs the Intel Core i5-13500E with the NVIDIA GeForce RTX 5090, creating a desktop configuration where a mid-range 14-core processor meets a flagship 32 GB graphics card. The combination sits at the 77th percentile for all tracked CPU+GPU pairings, indicating a system that lands well above average in overall capability. The data set contains no measured FPS rows for this exact pairing, so all gaming performance discussion is estimated from the individual benchmark scores of the components.

Usage Scenarios

For high-refresh gaming, the RTX 5090 is the dominant driver. Its Passmark G3D score of 39,650 places it in the 92nd percentile among all GPUs, and its 104.8 TFLOPS FP32 throughput provides the raw compute needed to push frame rates at demanding settings. The i5-13500E’s Cinebench R23 single-core score of 3,214 is solid, though not exceptional, meaning the CPU can keep up with most gaming workloads without being the primary constraint. The weak link for ultra-high refresh rates is the processor’s 62nd percentile ranking, which may cap performance in CPU-bound titles.

Streaming and gaming simultaneously benefits from the CPU’s 14 cores and 20 threads. The R23 multi-core score of 22,772 shows strong parallel throughput, and the presence of UHD Graphics 770 could offload some encoding tasks, though the RTX 5090’s dedicated hardware is far more capable. The 20 threads provide enough headroom for game plus encode workloads without severe contention.

Video editing is a strong suit for this pairing. The RTX 5090’s 680 tensor cores and 170 RT cores accelerate effects and rendering, while the 32 GB of GDDR7 memory with 1.79 TB/s bandwidth handles large timelines and preview buffers. The CPU’s multi-core score of 22,772 in R23 supports smooth scrubbing and export tasks, though it trails higher-end processors in the same socket.

3D rendering workloads see a lopsided contribution from the GPU. The RTX 5090’s Geekbench OpenCL score of 334,370 and Vulkan score of 376,728 indicate massive compute throughput for GPU-accelerated renderers. The CPU’s R20 multi-core score of 9,564 is adequate for CPU-based rendering, but the system clearly favors GPU-centric pipelines.

Software development benefits from the i5-13500E’s balanced specs. The 14 cores and 20 threads compile code efficiently, and the 24 MB shared L3 cache reduces memory latency for iterative builds. The RTX 5090 is overkill for most development tasks but accelerates shader compilation and local machine learning experiments, where its 104.8 TFLOPS FP16 compute is directly useful.

Student and office work is massively overserved by this configuration. The CPU’s single-core performance in Cinebench R23 at 3,214 is sufficient for productivity apps, and the integrated UHD Graphics 770 can drive displays without the discrete GPU active. The RTX 5090’s 575 W TDP is wasted on spreadsheets, but the system handles such tasks without any measurable strain.

Benchmark Performance

The CPU’s average benchmark score is 6,586, placing it in the 62nd percentile among all processors. Its closest rival is the Intel Atom x7405C with a score of 6,568, a delta of 0.3% in favor of the i5-13500E. The Intel Core i9-10940X and Intel Pentium Gold G6405 both score 6,605, putting them 0.3% ahead of the i5-13500E. The Intel Core i9-12900E scores 6,611, which is 0.4% higher. These small deltas indicate the i5-13500E sits in a tightly clustered performance band.

The GPU’s average benchmark score is 79,842, ranking in the 92nd percentile of all GPUs. The nearest rival is the NVIDIA Tesla P100 PCIe 16 GB at 79,605, which is 0.3% lower. The Tesla P100 PCIe 12 GB scores 79,396, a 0.6% gap. The AMD Radeon RX 6850M XT scores 78,940, trailing by 1.1%. On the higher side, the AMD Radeon Pro Vega 64X scores 80,959, which is 1.4% above the RTX 5090.

The combined percentile for this pairing is 77, reflecting that the GPU carries most of the performance weight. The CPU’s Cinebench R15 multi-core score of 2,295 and single-core of 323 show modest performance, while the GPU’s 3DMark Steel Nomad DX12 score of 18,355 and Passmark G3D score of 39,650 demonstrate elite graphics capability. The combined picture is a system where GPU-bound workloads see top-tier performance, but CPU-bound tasks are merely above average.

Upgrade Path and Platform

The CPU uses Intel Socket 1700, which supports the 13th generation Raptor Lake architecture. The i5-13500E is a locked multiplier part, so overclocking is not available. The platform supports both DDR4 and DDR5 memory in dual-channel mode, giving builders flexibility on memory choice. The CPU provides 16 PCIe Gen 5 lanes, which is sufficient for the RTX 5090’s PCIe 5.0 x16 interface.

The RTX 5090 has a TDP of 575 W, and the suggested PSU is 950 W. The CPU’s TDP is 65 W, so the power supply headroom is dictated almost entirely by the GPU. A sensible next upgrade would be a higher-core-count processor on the same Socket 1700 platform, such as a Core i9 variant, which would reduce CPU bottlenecks in threaded workloads. The memory support for both DDR4 and DDR5 means a builder could also upgrade memory capacity without changing the motherboard.

The GPU’s power connector is a single 16-pin, and the card is dual-slot, measuring 304 mm in length, 137 mm in height, and 40 mm in width. The 950 W suggested PSU provides ample headroom for the 575 W GPU plus the 65 W CPU, leaving room for drives and peripherals. The PCIe 5.0 x16 bus interface matches the CPU’s native lanes, so no bandwidth bottleneck exists on the data path.

Who Should Build It

Gamers targeting 4K resolution with maximum settings will find the RTX 5090’s 92nd percentile ranking sufficient for demanding titles. The 32 GB VRAM and 1.79 TB/s bandwidth eliminate texture memory constraints at high resolutions. The i5-13500E’s 62nd percentile CPU ranking is less relevant at 4K, where GPU load dominates frame times.

Content creators working with 8K video or large 3D scenes benefit from the GPU’s 32 GB GDDR7 memory and 680 tensor cores. The Geekbench Vulkan score of 376,728 indicates strong compute for renderers that leverage GPU acceleration. The CPU’s 20 threads handle multitasking between editing, encoding, and preview applications.

Software developers running machine learning experiments will use the RTX 5090’s 104.8 TFLOPS FP16 performance for model training. The 680 tensor cores are purpose-built for matrix operations, and the 32 GB VRAM fits large batch sizes. The CPU’s 24 MB L3 cache and 20 threads compile code and manage data pipelines effectively.

Students and small business workstations are not the target for this pairing, as the performance is far beyond their needs. The 575 W GPU TDP and 950 W PSU requirement make it a power-hungry system for basic tasks. However, if a user needs a single machine for both heavy rendering and everyday work, this build covers both without compromise.

CPU Analysis

The Intel Core i5-13500E has 14 cores and 20 threads, based on the Raptor Lake architecture on a 10 nm process. The base clock is 2.40 GHz with a boost of 4.60 GHz. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 24 MB shared L3. The die size is 215 mm², and the processor supports ECC memory.

Benchmark results show a Cinebench R23 multi-core score of 22,772 and single-core score of 3,214. The R20 scores are 9,564 multi-core and 1,349 single-core. The R15 scores are 2,295 multi-core and 323 single-core. These numbers place the CPU in the 62nd percentile, with an average benchmark score of 6,586.

The single-core performance is adequate for everyday tasks, but the 62nd percentile ranking means it sits below many competing desktop processors. The multi-core score of 22,772 in R23 is respectable for a 65 W TDP part, indicating efficient power usage. The 14 cores and 20 threads provide good parallel throughput for video encoding, compilation, and multitasking.

The nearest rivals show how tightly packed the mid-range is. The Intel Atom x7405C is 0.3% slower, while the Intel Core i9-10940X and Pentium Gold G6405 are 0.3% faster. The Intel Core i9-12900E is 0.4% faster. These deltas are minor, suggesting the i5-13500E is well-positioned in its performance class.

GPU Analysis

The NVIDIA GeForce RTX 5090 is built on the Blackwell 2.0 architecture with the GB202 chip on a 5 nm TSMC process. It has 92,200 million transistors on a 750 mm² die, with a transistor density of 122.9 million per mm². The base clock is 2017 MHz with a boost of 2407 MHz. Memory runs at 1750 MHz, effective 28 Gbps.

The GPU features 32 GB of GDDR7 memory on a 512-bit bus, delivering 1.79 TB/s bandwidth. It has 21,760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores. The pixel rate is 423.6 GPixel/s, and the texture rate is 1,636.8 GTexel/s. FP32 and FP16 compute both measure 104.8 TFLOPS.

Benchmark scores include a 3DMark Steel Nomad DX12 score of 18,355, Geekbench OpenCL of 334,370, and Vulkan of 376,728. Passmark scores are 39,650 for G3D, 26,756 for GPU compute, and 1,413 for G2D. The average benchmark score is 79,842, placing the GPU in the 92nd percentile.

The nearest rivals are professional and mobile GPUs, with the Tesla P100 PCIe 16 GB at 0.3% lower and the Radeon Pro Vega 64X at 1.4% higher. The RTX 5090’s 32 GB VRAM and 1.79 TB/s bandwidth make it suitable for high-resolution rendering, and the 680 tensor cores accelerate AI workloads. The 170 RT cores provide dedicated ray tracing hardware.

Balance and Bottleneck

The performance balance is heavily skewed toward the GPU. The RTX 5090’s 92nd percentile ranking versus the CPU’s 62nd percentile creates a scenario where GPU-bound workloads will see near-top-tier performance, while CPU-bound workloads will be limited to mid-range levels. In gaming at lower resolutions, the CPU may become the limiting factor, as frame rates depend on the processor’s single-core performance.

The CPU’s Cinebench R23 single-core score of 3,214 suggests it can handle most game logic, but in titles with heavy physics or AI, the 62nd percentile ranking could cap FPS. At 4K resolution, the GPU becomes the bottleneck, and the RTX 5090’s massive compute ensures it stays ahead of the CPU’s output. The 32 GB VRAM prevents memory-related stutters.

The 20 threads of the CPU are sufficient for streaming and background tasks, but the 65 W TDP limits sustained multi-core boost. The GPU’s 575 W TDP dominates the power draw, making the system’s thermal profile GPU-centric. The 950 W PSU suggestion provides headroom for transient spikes from the RTX 5090.

For productivity workloads, the balance is more even. Video editing uses both CPU and GPU, and the 22,772 R23 multi-core score plus the 334,370 OpenCL score complement each other. Rendering in GPU-accelerated applications will be bottlenecked by the CPU if the scene requires complex geometry processing, but most pure compute tasks will be GPU-limited.

Build Overview

This is a desktop build class pairing, combining the Intel Core i5-13500E with the NVIDIA GeForce RTX 5090. The combined percentile is 77, placing it above the majority of tracked systems. The CPU is a mid-range 14-core Raptor Lake part, while the GPU is a flagship Blackwell 2.0 card with 32 GB of GDDR7.

The pairing is unusual in that the GPU is several tiers above the CPU in performance ranking. The i5-13500E’s 62nd percentile is adequate, but the RTX 5090’s 92nd percentile is elite. This creates a system that excels in GPU-intensive tasks but leaves some CPU performance on the table. The overall tier, based on the 77th combined percentile, is solidly upper-mid-range.

The build class is desktop, meaning it uses standard desktop components with a Socket 1700 motherboard and a dual-slot GPU. The 950 W PSU requirement and 304 mm GPU length mean a full-size case is necessary. The system is suitable for users who prioritize graphics performance over CPU throughput.

FAQ

Q: What is the combined performance percentile of this CPU+GPU pairing?

A: The combined percentile is 77, indicating the system sits above 77% of all tracked pairings.

Q: How does the i5-13500E compare to its nearest CPU rival?

A: The i5-13500E has an average benchmark score of 6,586, which is 0.3% higher than the Intel Atom x7405C’s score of 6,568.

Q: What is the memory bandwidth of the RTX 5090?

A: The GPU has 32 GB of GDDR7 memory on a 512-bit bus, providing 1.79 TB/s bandwidth.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-13500E supports ECC memory, along with both DDR4 and DDR5 in dual-channel mode.

Q: What is the suggested power supply wattage for this build?

A: The suggested PSU is 950 W, which covers the GPU’s 575 W TDP and the CPU’s 65 W TDP.

Q: How many RT cores does the RTX 5090 have?

A: The GPU has 170 RT cores and 680 tensor cores, supporting DirectX 12 Ultimate and Vulkan 1.4.

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

A: The i5-13500E has a base clock of 2.40 GHz and a boost clock of 4.60 GHz.

Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination in the data set. Therefore, all gaming performance figures below are estimates based on the component benchmark scores, not measured results. The RTX 5090’s 92nd percentile ranking and 104.8 TFLOPS FP32 compute indicate it can handle most games at high settings, but the actual FPS depends on the game’s CPU usage.

At 1080p resolution, the i5-13500E’s single-core Cinebench R23 score of 3,214 may be the limiting factor in CPU-bound titles, potentially holding frame rates below what the GPU can deliver. The 62nd percentile CPU ranking suggests that in esports titles with high FPS targets, the processor could cap performance.

At 1440p, the balance improves as the GPU takes on more workload. The RTX 5090’s 1.79 TB/s bandwidth and 32 GB VRAM provide ample headroom for high-resolution textures and detail settings. Frame rates will be high, but the exact numbers depend on the game engine.

At 4K, the GPU becomes the dominant factor. The RTX 5090’s 423.6 GPixel/s pixel rate and 1,636.8 GTexel/s texture rate ensure it can push high frame rates at maximum settings in most titles. The CPU’s bottleneck is minimized at this resolution, making the system well-suited for 4K gaming.

Given the absence of measured FPS data, these are qualitative estimates. The RTX 5090 is clearly a top-tier GPU, and the i5-13500E is a capable mid-range CPU, so the system should perform well in most gaming scenarios, with the caveat that CPU-heavy titles may not reach the GPU’s full potential.