SYSTEM ANALYZER

Rate My PC: Intel Core i5-13400E + 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 i5-13400E

6,638 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

# CPU Analysis

The Intel Core i5-13400E is a desktop processor built on the Raptor Lake architecture, fabricated on Intel's 10 nm process node with a die size of 215 mm². It contains 10 cores and 16 threads, a configuration that pairs performance and efficiency cores to balance throughput with power consumption. The base clock runs at 2.40 GHz, while the boost clock reaches 4.60 GHz, providing a substantial frequency headroom for burst workloads. Cache hierarchy is tiered with 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 20 MB L3 cache. The processor supports both DDR4 and DDR5 memory in a dual-channel configuration and includes ECC memory support, a feature that matters for workstation reliability. Integrated graphics come in the form of UHD Graphics 730, which handles basic display output without a discrete GPU.

Benchmark results place this CPU at the 62nd percentile among all processors tested, meaning it outperforms roughly six out of every ten CPUs in the database. The Cinebench R23 multicore score of 22950 indicates strong multi-threaded capability for a 65 W TDP part, while the single-core score of 3240 shows respectable per-thread performance for lightly threaded tasks. In Cinebench R20, the multicore score drops to 9639 and the single-core to 1360, consistent with the scaling expected between benchmark versions. The R15 results of 2313 multicore and 326 single-core follow the same pattern. The average benchmark score across all tests is 6638.

Comparing to nearest rivals, the i5-13400E sits within a tight cluster. The AMD Ryzen Threadripper 2950X scores 6647, a delta of -0.1% relative to the Intel part, meaning the two are effectively tied in aggregate performance. The Intel Core i9-9940X scores 6657 with a -0.3% delta, again nearly identical. The Intel Core i9-12900E scores 6611 with a +0.4% delta, and the Intel Pentium Gold G6405 scores 6605 with a +0.5% delta. This grouping is remarkable because the i5-13400E matches or slightly exceeds older high-end HEDT and workstation processors while consuming far less power and using a mainstream socket. The Pentium Gold G6405 appearing in this range is unusual; it suggests the aggregate metric weights certain workloads heavily, but the Cinebench scores above show the i5-13400E's real multi-core strength.

For real workloads, the 10-core, 16-thread layout means the processor handles compilation jobs, rendering tasks, and virtual machines with reasonable efficiency. The 20 MB shared L3 cache reduces memory latency for frequently accessed data, which benefits database queries and scientific computing. The 4.60 GHz boost clock ensures that single-threaded applications like legacy software or certain engineering tools run without bottlenecking. The 65 W TDP is modest, making cooling straightforward in compact desktop builds.

# Upgrade Path and Platform

The Intel Core i5-13400E uses the Intel Socket 1700 interface, a platform that supports both DDR4 and DDR5 memory. This duality gives builders flexibility: existing DDR4 modules can be reused to reduce cost, or newer DDR5 kits can be installed for higher bandwidth. Memory runs in dual-channel mode, which is standard for mainstream desktop CPUs. PCIe connectivity includes Gen 5 with 16 lanes available from the CPU, providing ample bandwidth for modern storage devices and discrete GPUs. The motherboard chipset would handle additional lanes for peripherals.

The processor's TDP is 65 W, which is low for a 10-core part. This means a modest air cooler is sufficient for sustained workloads, as the chip does not generate excessive heat. The platform does not support overclocking, as the multiplier is locked, so users seeking manual tuning would need to look elsewhere. ECC memory support adds a layer of data integrity that is valuable for workstation use cases where corrupted calculations are unacceptable.

For the GPU side, the NVIDIA RTX 5000 Ada Generation has a TDP of 250 W and the suggested PSU rating is 600 W. This means a power supply in that range provides adequate headroom for the combined system, assuming the CPU and other components stay within normal bounds. The GPU uses a single 16-pin power connector and occupies a dual-slot form factor, so case compatibility requires sufficient length (267 mm, or 10.5 inches) and height (112 mm, or 4.4 inches) clearance. The bus interface is PCIe 4.0 x16, which is fully compatible with the CPU's PCIe Gen 5 lanes, though the GPU will run at its native Gen 4 speed.

A sensible next upgrade from this pairing would depend on the workload. For users who need more CPU throughput, moving to a higher-core-count Raptor Lake part on the same socket would be straightforward, assuming the motherboard BIOS supports it. For users who need more GPU compute, the RTX 5000 Ada is already near the top of the stack (98th percentile), so the only step up would be to professional GPUs with even larger memory pools, such as those in the Blackwell PRO W series. The platform's DDR5 support means memory bandwidth can be improved by upgrading from DDR4 to DDR5, though the CPU's dual-channel controller limits total bandwidth compared to HEDT platforms.

# Benchmark Performance

The benchmark data for this build combines CPU scores from Cinebench and GPU scores from Geekbench. The CPU's average benchmark score is 6638, placing it at the 62nd percentile among all CPUs. The GPU's average benchmark score is 184664, placing it at the 98th percentile among all GPUs. The combined percentile for the build is 80, indicating that this pairing outperforms 80% of all tested CPU+GPU combinations in the database.

The GPU's Geekbench OpenCL score is 175286, and the Vulkan score is 194041. The Vulkan score being higher than OpenCL suggests the architecture scales well with modern graphics APIs, which is relevant for both gaming and compute workloads. The GPU's nearest rivals include the NVIDIA A100 SXM4 80 GB with an average score of 183725 (0.5% delta), the NVIDIA A100 SXM4 40 GB with 187147 (-1.3% delta), the NVIDIA RTX PRO 5000 Blackwell with 182109 (1.4% delta), and the NVIDIA GeForce RTX 4090 D with 178050 (3.7% delta). This places the RTX 5000 Ada in the same performance tier as data center accelerators and top-tier consumer graphics cards, which is notable for a workstation-focused product.

The combined picture shows a system that is heavily GPU-bound in aggregate compute terms. The CPU sits in the mid-range of the distribution, while the GPU sits near the top. For workloads that scale with GPU compute, such as rendering, simulation, or machine learning inference, the RTX 5000 Ada will be the dominant factor. For CPU-bound tasks like compilation or single-threaded scripting, the i5-13400E will set the ceiling, and its 62nd percentile ranking means it is adequate but not exceptional.

# FAQ

Q: What is the combined performance percentile of this build?

A: The build has a combined percentile of 80, meaning it outperforms 80% of all tested CPU+GPU combinations in the database.

Q: How does the CPU compare to the AMD Ryzen Threadripper 2950X?

A: The Intel Core i5-13400E has an average benchmark score of 6638, while the Threadripper 2950X scores 6647, a delta of -0.1%. They are effectively tied in aggregate performance.

Q: What memory types does the CPU support?

A: The CPU supports both DDR4 and DDR5 in a dual-channel configuration, and it also supports ECC memory.

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

A: The GPU has 32 GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s.

Q: What is the TDP of the CPU and GPU, and what PSU is suggested?

A: The CPU has a TDP of 65 W, and the GPU has a TDP of 250 W. The suggested PSU rating for the system is 600 W.

Q: Does the CPU have integrated graphics?

A: Yes, the CPU includes UHD Graphics 730, which can handle basic display output without a discrete GPU.

Q: What is the GPU's percentile ranking among all GPUs?

A: The GPU is at the 98th percentile among all GPUs, with an average benchmark score of 184664.

# Who Should Build It

This build targets users who need high-end GPU compute without sacrificing a reasonable CPU foundation. Content creators working with 4K video or large 3D scenes will benefit from the GPU's 32 GB VRAM and its 98th percentile ranking, which ensures smooth preview and rendering in applications that leverage GPU acceleration. Developers working on machine learning models can use the Tensor cores for training and inference, and the 32 GB memory allows for larger batch sizes than typical consumer GPUs. Students in engineering or computer science programs will find the CPU sufficient for coursework and the GPU capable of handling research workloads. Small business workstations that run simulation software or heavy data visualization tools will see strong performance, particularly in GPU-accelerated tasks. Gamers at high resolutions will also appreciate the GPU, though the CPU's 62nd percentile ranking means it may not fully saturate the GPU at lower resolutions where CPU overhead is more pronounced. For professional users who need ECC memory, the CPU's support for it adds reliability for long-running calculations.

# GPU Analysis

The NVIDIA RTX 5000 Ada Generation is built on the Ada Lovelace architecture using TSMC's 5 nm process node, housing 76,300 million transistors on a 609 mm² die. The chip, designated AD102, contains 12800 shading units, 400 texture mapping units, and 176 raster output units. For ray tracing, there are 100 RT cores, and for AI acceleration, there are 400 Tensor cores. The GPU clock runs at a base of 1155 MHz and boosts to 2550 MHz, with memory clocked at 2250 MHz (18 Gbps effective). Memory configuration is 32 GB of GDDR6 on a 256-bit bus, yielding a bandwidth of 576.0 GB/s. Pixel rate is 448.8 GPixel/s, texture rate is 1,020.0 GTexel/s, and FP32 compute reaches 65.28 TFLOPS, with FP16 matching at 65.28 TFLOPS in a 1:1 ratio.

Benchmark results show a Geekbench OpenCL score of 175286 and a Vulkan score of 194041, with an average benchmark score of 184664. This places the GPU at the 98th percentile among all GPUs. The nearest rival is the NVIDIA A100 SXM4 80 GB, which scores 183725, a delta of 0.5% — the RTX 5000 Ada is effectively on par with a data center accelerator that costs several times more. The A100 SXM4 40 GB scores 187147, which is -1.3% relative to the RTX 5000 Ada, meaning the A100 is slightly faster in this aggregate metric. The RTX PRO 5000 Blackwell scores 182109 (1.4% delta), and the RTX 4090 D scores 178050 (3.7% delta), both trailing the RTX 5000 Ada.

For rendering workloads, the 32 GB VRAM is a decisive advantage over consumer cards with 16 GB or less, as it allows entire scenes to reside in GPU memory without spilling to system RAM. The 576.0 GB/s bandwidth ensures that texture streaming and geometry processing do not stall. The 100 RT cores accelerate ray-traced rendering in applications like Blender or D5 Render, while the 400 Tensor cores accelerate AI denoising and other neural network operations. The FP32 throughput of 65.28 TFLOPS is sufficient for scientific computing and double-precision-intolerant workloads, though the absence of specialized double-precision units means some HPC tasks would be slow. The display outputs are 4x DisplayPort 1.4a, supporting multiple high-resolution monitors for workstation setups.

# Balance and Bottleneck

The performance balance between the i5-13400E and RTX 5000 Ada is asymmetric. The CPU sits at the 62nd percentile, while the GPU sits at the 98th. In GPU-bound workloads such as rendering, simulation, or video encoding, the GPU will be the limiting factor in terms of throughput, but it is so fast that the CPU may struggle to feed it data quickly enough in certain scenarios. For example, in gaming at lower resolutions where frame rates are high, the CPU's single-thread performance, while respectable at 3240 in Cinebench R23, could bottleneck the GPU's ability to reach maximum FPS. At higher resolutions like 4K, the GPU becomes the bottleneck, and the CPU's 62nd percentile ranking is sufficient.

In CPU-bound workloads such as code compilation or spreadsheet manipulation, the GPU is idle and the CPU's 10 cores and 16 threads determine performance. The CPU's multicore score of 22950 in Cinebench R23 is strong for a 65 W part, so these tasks will complete quickly, but they will not leverage the GPU's massive compute resources. The combined percentile of 80 reflects this imbalance: the GPU pulls the overall ranking up, but the CPU prevents the build from reaching the top tier.

FPS scaling in games would follow the GPU's percentile closely, meaning high frame rates at 1440p and 4K, but the CPU's single-core score of 3240 suggests that 1080p high-refresh gaming might see CPU limits in certain titles. The data shows no measured FPS values for this combination, so these are estimates based on the benchmark scores.

# Build Overview

This build pairs the Intel Core i5-13400E desktop processor with the NVIDIA RTX 5000 Ada Generation workstation GPU. The build class is desktop, confirming it is intended for a stationary workstation or gaming tower rather than a laptop. The CPU is a 10-core, 16-thread Raptor Lake part with a 65 W TDP, and the GPU is a 32 GB Ada Lovelace professional card with a 250 W TDP and a suggested 600 W PSU. The combined percentile of 80 places this build in the upper quintile of all tested systems, meaning it is faster than 80% of the database. The CPU's 62nd percentile is mid-range, while the GPU's 98th percentile is near the top. This is a workstation-focused pairing where the GPU is the star, and the CPU provides solid, efficient support without being a bottleneck in most professional workloads.

# Usage Scenarios

High-refresh gaming: The GPU's 98th percentile ranking and 32 GB VRAM enable high frame rates at 1440p and 4K with ultra settings, though the CPU's 62nd percentile may limit FPS at 1080p in CPU-heavy titles. Estimated FPS would be very high, but no measured data exists for this exact combination.

Streaming: The GPU's Tensor cores can handle video encoding and AI-based enhancements, while the CPU's 16 threads handle the streaming overhead. The GPU's Vulkan score of 194041 indicates strong API performance, which is relevant for capture software.

Video editing: The GPU's 32 GB VRAM and 576.0 GB/s bandwidth accelerate timeline scrubbing, effects, and exports in editors like DaVinci Resolve. The CPU's multicore score of 22950 in Cinebench R23 assists with decode and encode of source footage.

3D rendering: The GPU's 100 RT cores and 65.28 TFLOPS FP32 performance excel at ray-traced and rasterized rendering. The CPU's 20 MB L3 cache and 10 cores handle scene preparation, though the GPU is the primary engine.

Software development: The CPU's 16 threads compile code efficiently, and the GPU's compute power accelerates unit testing, simulation, and machine learning training. The ECC memory support reduces the risk of silent data corruption in long builds.

Student and office work: The CPU's single-core score of 3240 in Cinebench R23 ensures responsive daily use, while the GPU is overkill for documents and spreadsheets but provides headroom for future coursework in data science or 3D modeling.

# Gaming Performance

No measured FPS rows exist for the Intel Core i5-13400E + NVIDIA RTX 5000 Ada Generation combination in the FACT PACK. Therefore, all FPS figures below are estimates based on the benchmark scores of the CPU and GPU, and they should be treated as approximations rather than tested results.

The GPU's 98th percentile ranking and its average benchmark score of 184664, which exceeds the RTX 4090 D by 3.7%, suggest that at 1440p and 4K with ultra settings, the RTX 5000 Ada would deliver very high frame rates in most modern titles. The 32 GB VRAM ensures that even the most demanding textures and ray-traced effects fit within memory, avoiding stutter from VRAM overflow. The CPU's single-core score of 3240 in Cinebench R23 is adequate for high-refresh gaming at 1440p and above, but at 1080p, the CPU could become a limiting factor in esports titles where frame rates exceed 200 FPS. Based on the GPU's Vulkan score of 194041, API overhead is low, which benefits DirectX 12 and Vulkan games. For games that rely heavily on ray tracing, the 100 RT cores would provide strong performance, likely approaching the levels of the RTX 4090 D, which trails the RTX 5000 Ada by 3.7% in the aggregate benchmark. Overall, gamers should expect a smooth, high-fidelity experience at high resolutions, but should temper expectations for 1080p high-refresh scenarios where the CPU's mid-range ranking may show.