SYSTEM ANALYZER

Rate My PC: Intel Core i5-13500E + NVIDIA GeForce RTX 5090 D V2

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

84 / 100
HIGH-END

Power Build

Top 16% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
77%
VS
GPU
90%
PROCESSOR

Intel Core i5-13500E

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

NVIDIA GeForce RTX 5090 D V2

16,504 Benchmark Score
Top 10% 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

# Intel Core i5-13500E + NVIDIA GeForce RTX 5090 D V2 — Desktop Benchmark Analysis

This desktop pairing combines Intel’s 14-core Raptor Lake CPU with NVIDIA’s flagship Blackwell GPU, creating a system that sits at the 61st combined percentile across all benchmarked configurations. The CPU’s average benchmark score of 6586 places it in the 62nd percentile among all CPUs, while the GPU’s single 3DMark Steel Nomad DX12 score of 16504 lands in the 59th percentile among all GPUs. This is a configuration where the GPU is the headline performer, but the CPU’s mid-range standing raises questions about balance that the benchmark data can partially answer.

FAQ

Q: What is the CPU’s core and thread configuration?

A: The Intel Core i5-13500E has 14 cores and 20 threads, based on the Raptor Lake architecture on a 10 nm process node. It features a base clock of 2.40 GHz and a boost clock of 4.60 GHz, with a 65 W TDP.

Q: How much memory does the GPU have and what type?

A: The NVIDIA GeForce RTX 5090 D V2 comes with 24 GB of GDDR7 memory on a 384-bit bus, delivering a bandwidth of 1.34 TB/s. Its memory clock is 1750 MHz (28 Gbps effective).

Q: What is the GPU’s architecture and process node?

A: The RTX 5090 D V2 uses the GB202 chip with Blackwell 2.0 architecture, manufactured by TSMC on a 5 nm process. It contains 92,200 million transistors on a 750 mm² die.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-13500E supports ECC memory. It also supports both DDR4 and DDR5 memory types in a dual-channel configuration.

Q: What is the GPU’s launch MSRP?

A: The launch MSRP for the NVIDIA GeForce RTX 5090 D V2 is 2,299 USD.

Q: What PCIe generation does the GPU use?

A: The RTX 5090 D V2 uses a PCIe 5.0 x16 bus interface, while the CPU provides PCIe Gen 5 with 16 lanes (CPU only).

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

A: The i5-13500E’s average benchmark score of 6586 is 0.3% higher than the Intel Atom x7405C (6568) and 0.3% lower than both the Intel Core i9-10940X and Intel Pentium Gold G6405 (both 6605).

Benchmark Performance

The CPU’s Cinebench results paint a picture of a solid mid-range performer. In Cinebench R23, the i5-13500E scores 22772 in multi-core and 3214 in single-core. These figures translate to a 62nd percentile ranking among all CPUs, with an average benchmark score of 6586. The nearest rival data shows this CPU is clustered tightly with several other processors: it sits 0.3% above the Intel Atom x7405C (6568) and 0.3% below the Intel Core i9-10940X (6605) and Intel Pentium Gold G6405 (6605). The i9-12900E (6611) is 0.4% ahead, indicating that the 13500E is positioned in a competitive mid-range band where small percentage differences separate models.

The GPU’s benchmark presence is defined by a single 3DMark Steel Nomad DX12 score of 16504, placing it in the 59th percentile among all GPUs. This score puts the RTX 5090 D V2 essentially tied with the NVIDIA T400 (16508, 0% delta) and slightly ahead of the AMD Radeon PRO W7500 (16415, 0.5% delta) and NVIDIA RTX PRO 6000 Blackwell (16408, 0.6% delta). The AMD Radeon RX 5700 XT (16361) trails by 0.9%. The fact that this flagship GPU sits at only the 59th percentile is notable — it suggests that the benchmark database includes many professional and workstation GPUs with higher scores, or that the Steel Nomad test emphasizes workloads where this particular configuration does not dominate.

The combined picture shows a system at the 61st combined percentile. This is lower than the CPU’s individual 62nd percentile and the GPU’s 59th percentile might suggest, indicating that the pairing produces a holistic result that is not simply the average of its parts. The GPU’s raw horsepower is clearly present, but the CPU’s mid-pack performance could be a limiting factor in certain workloads. The data shows a system that is competitive but not class-leading, with the GPU’s massive memory and compute resources potentially underutilized by the CPU in some scenarios.

Gaming Performance

No measured FPS rows exist for this exact combination — the FACT PACK contains no measuredFps data. All FPS discussion below is therefore estimated from the benchmark scores and should be treated as approximate expectations rather than verified results.

The GPU’s 3DMark Steel Nomad DX12 score of 16504, combined with its 24 GB of GDDR7 memory and 1.34 TB/s bandwidth, suggests very strong raw rendering capability. At 1080p and 1440p, this GPU should easily push high frame rates in most titles, though the CPU’s single-core Cinebench R23 score of 3214 (62nd percentile) could become a bottleneck in CPU-bound scenarios like competitive shooters or simulation games. The RTX 5090 D V2’s 170 RT cores and 680 tensor cores indicate robust ray tracing and DLSS performance, which would be particularly beneficial at higher resolutions where GPU load dominates.

At 4K resolution, the GPU’s 104.8 TFLOPS FP32 performance and 1.34 TB/s memory bandwidth become the dominant factors. The data suggests this system would excel in 4K gaming, with the GPU’s massive memory pool (24 GB) providing headroom for high-resolution textures and future titles. However, the CPU’s 62nd percentile ranking means that in games with heavy CPU-threaded physics or AI, frame pacing could suffer. The estimated FPS picture is one of a GPU-limited system at high resolutions, but a CPU-limited system at lower resolutions where the GPU has spare capacity.

The discrepancy between the GPU’s 59th percentile and its flagship positioning suggests that the Steel Nomad benchmark may not fully capture gaming performance, which often favors architectures with strong rasterization and driver optimization. The estimated gaming experience would be excellent for 1440p and 4K, with the caveat that 1080p high-refresh gaming might leave performance on the table due to CPU limitations.

Balance and Bottleneck

The data reveals a clear imbalance between the CPU and GPU in this pairing. The CPU’s 62nd percentile and average score of 6586 place it in the mid-range of all CPUs, while the GPU’s 59th percentile and score of 16504 in Steel Nomad indicate it is competitive with other high-end GPUs but not dominant in that benchmark. The combined percentile of 61 suggests that neither component is dramatically dragging the other down, but the bottleneck analysis points to the CPU as the more likely limiter in most workloads.

In GPU-heavy tasks like 3D rendering or high-resolution gaming, the RTX 5090 D V2’s 24 GB VRAM and 1.34 TB/s bandwidth can be fully utilized, making the GPU the primary determinant of performance. The 104.8 TFLOPS FP32 throughput and 1,636.8 GTexel/s texture rate indicate massive compute headroom. However, in CPU-bound scenarios such as physics simulation, AI logic, or frame generation, the i5-13500E’s 14 cores and 20 threads at 2.40 GHz base / 4.60 GHz boost may struggle to feed the GPU fast enough. The Cinebench R23 multi-core score of 22772 is respectable but not exceptional for a 14-core part, suggesting that heavily threaded workloads could see CPU limitations.

The FPS scaling evidence, while estimated, supports this view. At lower resolutions where the GPU has spare capacity, the CPU’s single-core score of 3214 in Cinebench R23 becomes the bottleneck. At higher resolutions, the GPU’s workload increases and the balance shifts toward GPU limitation. The 65 W TDP of the CPU versus the 575 W TDP of the GPU further emphasizes that this is a GPU-centric build where the CPU is a supporting player rather than a co-star.

Usage Scenarios

High-refresh gaming: At 1080p with high refresh rates, the CPU’s 62nd percentile single-core performance (Cinebench R23 score of 3214) may limit frame rates in CPU-bound titles, while the GPU has ample headroom. The estimated experience is good but not optimal for 240 Hz+ displays.

Streaming: The GPU’s 680 tensor cores and Blackwell architecture likely handle encoding efficiently, while the CPU’s 20 threads provide adequate multitasking. The 24 GB VRAM ensures no memory pressure during simultaneous gaming and encoding.

Video editing: The CPU’s Cinebench R23 multi-core score of 22772 supports smooth timeline editing, while the GPU’s 104.8 TFLOPS FP32 and 1.34 TB/s bandwidth accelerate effects, rendering, and export. The 24 GB VRAM handles large projects and multiple high-resolution streams.

3D rendering: The GPU’s 170 RT cores and 680 tensor cores make this a strong candidate for ray-traced rendering, with the 24 GB GDDR7 memory accommodating complex scenes. The CPU’s multi-core performance (22772 in R23) is adequate for scene preparation and physics but may lag behind higher-end CPUs in final-frame CPU rendering.

Software development: The CPU’s 14 cores and 20 threads handle compilation and parallel builds well, with a Cinebench R23 multi-core score of 22772. The GPU is largely idle in most development tasks, making this pairing overpowered for pure coding but useful for developers working on graphics or machine learning applications.

Student and office work: The CPU’s 62nd percentile ranking and 65 W TDP make it efficient for everyday tasks, but the GPU’s 575 W TDP and 2,299 USD launch MSRP are far beyond what such workloads require. This is a workstation-class GPU in a system that will be massively underutilized in office scenarios.

Who Should Build It

This system targets users who need the RTX 5090 D V2’s 24 GB VRAM and 1.34 TB/s bandwidth for professional visualization, AI inference, or high-end content creation. Gamers at 1440p and 4K resolutions would benefit from the GPU’s 104.8 TFLOPS FP32 performance and 170 RT cores, provided they accept that the CPU may limit 1080p performance. Content creators working with 8K video or complex 3D scenes would find the 24 GB memory pool and 680 tensor cores valuable, with the CPU’s 20 threads handling auxiliary tasks.

Developers working on CUDA-accelerated applications or machine learning models would appreciate the tensor core count and 92,200 million transistors, though the CPU’s mid-range standing means data-loading and preprocessing tasks may not be as fast as with higher-end CPUs. Students and small business workstations would be poorly served by this configuration — the GPU alone consumes 575 W and requires a 950 W suggested PSU, making it impractical for typical academic or office environments.

The combined 61st percentile and the GPU’s 59th percentile suggest that this build is not for benchmark chasers but for users who need specific GPU features like 24 GB VRAM or Blackwell’s tensor performance. The CPU, while competent, is not the reason to build this system.

CPU Analysis

The Intel Core i5-13500E is a 14-core, 20-thread desktop processor from the Core 13th Gen series, based on Raptor Lake architecture (Raptor Lake-S codename) on a 10 nm process node from Intel. It operates at a 2.40 GHz base clock and boosts to 4.60 GHz, within a 65 W TDP. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 24 MB shared L3. Memory support covers both DDR4 and DDR5 in dual-channel mode, with ECC capability. The socket is Intel Socket 1700, and the CPU provides PCIe Gen 5 with 16 lanes.

Benchmark results show a Cinebench R15 multi-core score of 2295 and single-core of 323, R20 scores of 9564 multi-core and 1349 single-core, and R23 scores of 22772 multi-core and 3214 single-core. These translate to a 62nd percentile ranking and an average score of 6586. The nearest rivals cluster tightly: the i5-13500E is 0.3% above the Intel Atom x7405C (6568) and 0.3-0.4% below the i9-10940X, Pentium Gold G6405 (both 6605), and i9-12900E (6611). This indicates the 13500E is in a dense performance band where architectural differences matter less than minor clock or cache variations.

The CPU’s real-world implications are clear: it is a capable mid-range part that handles everyday tasks and moderate multi-threaded workloads well, but it does not excel in either single-core or multi-core extremes. The 10 nm process and 215 mm² die size suggest a mature design that balances power efficiency (65 W TDP) with adequate performance for its class.

Build Overview

This is a desktop-class build combining the Intel Core i5-13500E with the NVIDIA GeForce RTX 5090 D V2. The CPU occupies the 62nd percentile among all CPUs, while the GPU sits at the 59th percentile among all GPUs, yielding a combined percentile of 61. The overall tier is mid-to-high range, with the GPU’s massive resources (24 GB GDDR7, 1.34 TB/s bandwidth, 104.8 TFLOPS FP32) being the defining feature.

The build is fundamentally a GPU-centric workstation or high-end gaming rig where the CPU serves as a competent but not exceptional companion. The 65 W CPU TDP versus the 575 W GPU TDP highlights the power asymmetry. The system’s 61st combined percentile suggests that while each component is individually respectable, the pairing does not boost either to the top of the benchmark charts. This is a configuration that prioritizes GPU-centric workloads like rendering, AI, and high-resolution gaming over CPU-heavy tasks.

Upgrade Path and Platform

The CPU uses Intel Socket 1700, which supports DDR4 and DDR5 memory in dual-channel configuration, with ECC capability. The platform provides PCIe Gen 5 with 16 CPU lanes, while the GPU uses a PCIe 5.0 x16 interface. The CPU’s 65 W TDP leaves significant power headroom, but the GPU requires a 950 W suggested PSU and uses a single 16-pin power connector.

A sensible next upgrade would be to replace the CPU with a higher-tier 13th-generation part on the same socket, as the Raptor Lake architecture supports a range of Core i7 and i9 models that would better match the GPU’s capabilities. The 0.4% performance gap to the i9-12900E (6611) suggests that even within the same generation, moving up the stack would yield meaningful multi-core gains. The GPU is already at the top of its product line (with a successor listed as GeForce 60), so the primary upgrade path is CPU-side.

Memory is another consideration — the dual-channel DDR4/DDR5 support means users could transition to faster DDR5 modules to improve memory bandwidth, though the CPU’s memory bandwidth is not explicitly listed in the data. The PCIe Gen 5 support on both CPU and GPU ensures future storage and expansion compatibility.

GPU Analysis

The NVIDIA GeForce RTX 5090 D V2 is a Blackwell 2.0 architecture GPU (GB202 chip) manufactured by TSMC on a 5 nm process, containing 92,200 million transistors on a 750 mm² die. It has 24 GB of GDDR7 memory on a 384-bit bus, delivering 1.34 TB/s bandwidth. Clocks are 2017 MHz base and 2407 MHz boost, with memory at 1750 MHz (28 Gbps effective). The GPU features 21760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores. Compute rates include 423.6 GPixel/s pixel rate, 1,636.8 GTexel/s texture rate, and 104.8 TFLOPS FP32 (with FP16 at 104.8 TFLOPS, 1:1 ratio).

The sole benchmark score is 3DMark Steel Nomad DX12 at 16504, placing the GPU at the 59th percentile. This is remarkably low for a flagship GPU, and the nearest rivals reinforce the oddity: the NVIDIA T400 (16508) is essentially tied, while the AMD Radeon PRO W7500 (16415) and RTX PRO 6000 Blackwell (16408) are within 0.6%. The AMD Radeon RX 5700 XT (16361) trails by 0.9%. This clustering suggests that the Steel Nomad benchmark may not be representative of the GPU’s full capability, or that the database includes many GPUs with similar performance in this specific test.

The 24 GB VRAM is the standout feature for rendering — it allows massive scenes, high-resolution textures, and multi-application GPU compute without memory swapping. The 170 RT cores and 680 tensor cores indicate strong ray tracing and AI acceleration, which directly benefit rendering workflows. The 1.34 TB/s bandwidth supports high-resolution frame buffers and large dataset transfers. The 104.8 TFLOPS FP32 throughput is substantial for compute-heavy tasks, though the 5 nm process and 575 W TDP indicate this power comes at a significant efficiency cost. The dual-slot design and 304 mm length suggest a large cooler is required, with the 1x 16-pin power connector and 950 W suggested PSU underscoring the power demands.