SYSTEM ANALYZER

Rate My PC: Intel Core i5-13500TE + NVIDIA GeForce RTX 4090 D

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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88 Score

Top 12% Ranking

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

76%

GPU

99%

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

PROCESSOR

Intel Core i5-13500TE

5,002 Benchmark Score

Top 24% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA GeForce RTX 4090 D

178,050 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

The pairing of the Intel Core i5-13500TE with the NVIDIA GeForce RTX 4090 D creates a stark contrast between a low-power, efficiency-focused processor and one of the most extreme graphics cards on the market. The data in this benchmark database reveals a configuration where the GPU is unquestionably the dominant component, operating at the 98th percentile against all other GPUs, while the CPU sits at the 59th percentile. This asymmetry defines the system's character, making it a specialized tool for GPU-bound workloads rather than a balanced general-purpose machine. The following analysis explores the implications of this pairing across rendering, processing, and real-world usage, relying exclusively on the provided benchmark scores and specifications.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA GeForce RTX 4090 D is a monster of a graphics card, built on the Ada Lovelace architecture and fabricated on a 5 nm process at TSMC with a die size of 609 mm² containing 76,300 million transistors. Its memory subsystem is substantial, featuring 24 GB of GDDR6X across a 384-bit bus, delivering a bandwidth of 1.01 TB/s. The card operates at a base clock of 2280 MHz and a boost clock of 2520 MHz, with memory running at 1313 MHz, translating to 21 Gbps effective. These raw specifications place it firmly in the enthusiast tier, as its 98th percentile ranking against all GPUs confirms.

The rendering capabilities are supported by 14592 shading units, 456 TMUs, and 176 ROPs. More importantly for modern workloads, the card includes 114 RT cores and 456 tensor cores, which are essential for ray tracing and DLSS-style AI acceleration. The pixel rate is 443.5 GPixel/s, and the texture rate is 1,149.1 GTexel/s, while FP32 and FP16 performance are both listed at 73.54 TFLOPS, indicating a 1:1 ratio. These figures suggest that the RTX 4090 D is not just a gaming card but a serious compute device, capable of handling heavy 3D rendering, video processing, and machine learning inference tasks.

In benchmark tests, the RTX 4090 D scores 8587 in 3DMark Steel Nomad DX12, 278621 in Geekbench OpenCL, and 246941 in Geekbench Vulkan. The average benchmark score is 178050, which puts it 2.2% behind the NVIDIA RTX PRO 5000 Blackwell, 3.1% behind the A100 SXM4 80 GB, 3.6% behind the RTX 5000 Ada Generation, and 4.9% behind the A100 SXM4 40 GB. While those rival cards edge ahead in raw compute, the 4090 D's combination of 24 GB VRAM and 1.01 TB/s bandwidth makes it exceptionally well-suited for large texture sets and high-resolution rendering workloads, where memory capacity and speed are critical. For a creator working with 8K video or massive 3D scenes, the data suggests this GPU provides a formidable foundation.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The balance between the Intel Core i5-13500TE and the RTX 4090 D is heavily skewed toward the GPU. The CPU has an average benchmark score of 5002, placing it at the 59th percentile among all CPUs, while the GPU's average score is 178050, placing it at the 98th percentile. This 39-point gap in percentiles indicates that in most workloads, the CPU will be the limiting factor, especially in tasks that require high single-thread performance or quick response times.

Specifically, the CPU's Cinebench R23 single-core score is 2441, while its multi-core score is 17294. These numbers are modest compared to the GPU's raw power. In gaming scenarios, the CPU will likely bottleneck the GPU at lower resolutions where the graphics card can render frames faster than the processor can issue draw calls. At higher resolutions, such as 4K, the GPU becomes the primary bottleneck as the pixel workload increases, which may allow the system to achieve more balanced performance. However, with no measured FPS data for this combination, this is an inference based on the percentile disparity rather than a tested result.

The data also shows the CPU's TDP is 35 W, while the GPU's TDP is 425 W, with a suggested PSU of 800 W. This 12x difference in power draw underscores the GPU-centric nature of the build. The CPU is not designed to push high frame rates in CPU-bound titles; it is engineered for efficiency, which means the system's overall performance will be dictated by how well software can offload work to the GPU. For compute-heavy tasks like 3D rendering, the GPU can operate near its full potential, but for physics simulation or AI logic that relies on the CPU, the i5-13500TE will hold the system back.

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The Intel Core i5-13500TE is a 14-core, 20-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-S codename, built on a 10 nm process at Intel with a die size of 215 mm². It has a base clock of 1300 MHz and a boost clock of 4.50 GHz, which is a wide range that allows for significant power savings when idle. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 24 MB of shared L3 cache. This configuration supports both DDR4 and DDR5 memory in a dual-channel setup, and it includes ECC memory support, which is a boon for workstation reliability.

The CPU's integrated graphics are UHD Graphics 770, which is useful for basic display output but not for gaming or compute. Its market segment is desktop, and it was released on 2023-01-03 with a launch MSRP of $235. The processor is not multiplier-unlocked, meaning overclocking is not a straightforward option. It uses the Intel Socket 1700 and provides PCIe Gen 5 with 16 lanes from the CPU, ensuring high-bandwidth connectivity for the GPU and NVMe drives.

In terms of benchmark performance, the i5-13500TE scores 1743 in Cinebench R15 multi-core and 246 in single-core, 7263 in Cinebench R20 multi-core and 1025 in single-core, and 17294 in Cinebench R23 multi-core and 2441 in single-core. The average benchmark score is 5002, which puts it exactly on par with the AMD Ryzen 5 PRO 5650G (0% delta), and slightly ahead of the Intel Core i3-12300HE (0.1% delta) and the Intel Xeon W-2150B (0.2% delta), while being 0.3% behind the Intel Core i7-1375PRE. These rivals are all similarly positioned, indicating that the i5-13500TE is a mid-range performer. For real workloads, this means it can handle everyday productivity, coding, and light multi-threaded tasks, but it will not excel in heavy number-crunching or high-core-count applications.

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

This build targets users who prioritize GPU-accelerated tasks over CPU-bound workloads. Gamers playing at 4K resolution will benefit most, as the RTX 4090 D's 98th percentile performance and 24 GB VRAM can handle the highest texture and detail settings, while the i5-13500TE's 59th percentile CPU performance is less likely to bottleneck at such high pixel counts. For 1080p or 1440p gaming, the CPU may become a limiting factor, so those users should consider a more powerful processor.

Content creators in video editing, 3D rendering, and visual effects will find the GPU's 73.54 TFLOPS and 1.01 TB/s bandwidth invaluable for tasks like timeline scrubbing, GPU-accelerated effects, and final renders, which rely heavily on CUDA cores and VRAM. Software developers working on machine learning or data processing can leverage the 456 tensor cores for model training and inference, though the CPU's modest multi-core score of 17294 in Cinebench R23 means code compilation will not be a strong point.

Students and small business workstations that focus on GPU-heavy applications, such as CAD, architectural visualization, or scientific simulation, would see a significant performance boost from the RTX 4090 D. The CPU's 35 W TDP makes it an efficient choice for systems that are not always under full load, reducing energy costs. However, for users who need fast CPU performance for tasks like spreadsheet analysis, software compilation, or database queries, the i5-13500TE's performance tier suggests it is not the ideal choice, and the balanced nature of the build would be wasted on such workloads.

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The combined picture from the benchmark data is one of extreme imbalance. The CPU, Intel Core i5-13500TE, has an average benchmark score of 5002 and sits at the 59th percentile of all CPUs. Its Cinebench R23 scores are 2441 for single-core and 17294 for multi-core, placing it in the mid-range category. The GPU, NVIDIA GeForce RTX 4090 D, has an average benchmark score of 178050 and sits at the 98th percentile of all GPUs. Its 3DMark Steel Nomad DX12 score is 8587, Geekbench OpenCL is 278621, and Geekbench Vulkan is 246941.

When viewed together, the GPU's average score is over 35 times higher than the CPU's average score, which is not a direct comparison but highlights the performance disparity. The combined percentile for this pairing is 79, which reflects that the GPU's dominance pulls the overall system upward, but the CPU prevents it from reaching higher tiers. The nearest rival GPUs—RTX PRO 5000 Blackwell, A100 SXM4 80 GB, RTX 5000 Ada Generation, and A100 SXM4 40 GB—all score between 182109 and 187147, meaning the 4090 D is 2.2% to 4.9% behind these workstation-class cards. In contrast, the CPU's rivals are within a 0.3% range, showing that the i5-13500TE is tightly clustered with other mid-range processors.

The data implies that this system is not a balanced performer. It will excel in GPU-bound tasks, such as rendering and gaming at high resolutions, but it will lag in CPU-bound tasks, such as physics simulation or video encoding that relies on the processor. The combined percentile of 79 suggests that while the GPU is top-tier, the overall system is held back by the CPU, making it a niche configuration for specific use cases.

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work. One short paragraph per scenario, citing the numbers that support the verdict

High-refresh gaming: At 1080p or 1440p with high refresh rates, the CPU's single-core score of 2441 in Cinebench R23 will likely bottleneck the GPU, preventing the RTX 4090 D from reaching its full frame potential. At 4K, the GPU's 98th percentile performance and 24 GB VRAM can push high frame rates, but the CPU may still limit minimum FPS in CPU-heavy titles.

Streaming: The GPU's NVENC encoder, supported by the 456 tensor cores, can handle video encoding without stressing the CPU. The i5-13500TE's 14 cores and 20 threads can manage streaming software and game logic, but its 35 W TDP and mid-range performance suggest it may struggle with heavy multitasking while gaming.

Video editing: The RTX 4090 D's 73.54 TFLOPS and 1.01 TB/s bandwidth accelerate effects, color grading, and exports in software like Premiere Pro or DaVinci Resolve. The CPU's multi-core score of 17294 in Cinebench R23 is adequate for timeline operations, but the GPU will handle the heavy lifting.

3D rendering: In GPU-accelerated renderers like Blender Cycles or Octane, the RTX 4090 D can deliver near-top-tier performance, as its average score of 178050 is only 2.2% to 4.9% behind workstation GPUs. The CPU's role is minimal in this scenario, making the i5-13500TE a suitable companion for pure GPU rendering.

Software development: For coding, compilation, and running virtual machines, the CPU's 59th percentile performance is a limiting factor. The single-core score of 2441 is fine for light tasks, but large builds will be slow, and the GPU's power will go unused in most development workflows.

Student and office work: The CPU's 35 W TDP and integrated UHD Graphics 770 make it energy-efficient for everyday tasks like browsing, documents, and spreadsheets. However, the RTX 4090 D is overkill for such workloads, making this build impractical for typical student or office use unless GPU acceleration is required.

FAQ — 5-7 Q&A pairs answerable from FACT PACK data (format: Q: ... A: ...)

Q: What is the average benchmark score of the Intel Core i5-13500TE, and how does it compare to its nearest rival?

A: The i5-13500TE has an average benchmark score of 5002, which is exactly equal to the AMD Ryzen 5 PRO 5650G (0% delta), and is 0.1% ahead of the Intel Core i3-12300HE.

Q: What is the memory bandwidth of the NVIDIA GeForce RTX 4090 D, and how much VRAM does it have?

A: The RTX 4090 D has 24 GB of GDDR6X memory with a bandwidth of 1.01 TB/s, supported by a 384-bit bus.

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

A: The Intel Core i5-13500TE has a TDP of 35 W, while the NVIDIA GeForce RTX 4090 D has a TDP of 425 W, and the suggested PSU is 800 W.

Q: What is the percentile ranking of the GPU compared to all other GPUs, and what is its average benchmark score?

A: The RTX 4090 D is at the 98th percentile of all GPUs, with an average benchmark score of 178050.

Q: Does the CPU support ECC memory, and what memory types are compatible?

A: Yes, the Intel Core i5-13500TE supports ECC memory, and it is compatible with both DDR4 and DDR5 in a dual-channel configuration.

Q: What is the process node and die size for the GPU and CPU?

A: The GPU is built on a 5 nm process with a die size of 609 mm², while the CPU is built on a 10 nm process with a die size of 215 mm².

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

A: The combined percentile for the Intel Core i5-13500TE and NVIDIA GeForce RTX 4090 D is 79.

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

This pairing is a desktop-class build, as indicated by the buildClass field, combining a low-power Intel Core i5-13500TE processor with the high-end NVIDIA GeForce RTX 4090 D graphics card. The CPU is a 14-core, 20-thread Raptor Lake part with a 35 W TDP, while the GPU is an Ada Lovelace monster with a 425 W TDP. The overall tier, based on the percentiles, is defined by the GPU's 98th percentile ranking and the CPU's 59th percentile ranking, resulting in a combined percentile of 79.

This means the system is not a top-tier balanced machine but rather a specialized GPU-centric workstation or gaming rig. The GPU's average benchmark score of 178050 places it among the best consumer cards, just behind workstation GPUs like the RTX PRO 5000 Blackwell and A100 SXM4 variants. The CPU's average score of 5002 places it in the mid-range, on par with other 13th-gen mobile and desktop chips. For users who need maximum GPU compute and can tolerate a modest CPU, this build is viable, but it will not be a well-rounded performer.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

No measured FPS rows exist for this exact combination of the Intel Core i5-13500TE and NVIDIA GeForce RTX 4090 D. The FACT PACK contains no measuredFps data, so all FPS discussions are estimates based on the benchmark scores. The GPU's 98th percentile performance and 24 GB VRAM suggest it can handle ultra settings at 4K in most modern titles, but the CPU's 59th percentile performance may limit frame rates at lower resolutions.

Given the GPU's 3DMark Steel Nomad DX12 score of 8587 and its average benchmark score of 178050, it is reasonable to estimate that gaming performance will be excellent at 4K, where the GPU is the primary bottleneck. At 1080p or 1440p, the CPU's single-core score of 2441 in Cinebench R23 may cause stutters or lower average FPS in CPU-bound games, as the processor cannot keep pace with the GPU's frame output. These are qualitative estimates, not measured results, and actual performance will vary by title and settings.

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The Intel Core i5-13500TE uses the Intel Socket 1700, which is compatible with a range of 12th and 13th generation processors. The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, so users can choose their memory platform based on the motherboard. It provides PCIe Gen 5 with 16 lanes from the CPU, ensuring the RTX 4090 D's PCIe 4.0 x16 interface is fully supported, though the GPU will run at Gen 4 speeds.

The GPU has a TDP of 425 W, and the system suggests an 800 W PSU, which provides headroom for the CPU's 35 W TDP and other components. A sensible next upgrade would be to replace the CPU with a higher-performing Socket 1700 processor, such as a Core i7 or i9 from the 13th generation, to reduce the bottleneck in CPU-bound tasks. This would improve the combined percentile and make the system more balanced. Alternatively, adding more RAM (if currently below the maximum supported) or faster DDR5 memory could help in memory-sensitive workloads, but the CPU is the primary limiting factor.

The GPU, being end-of-life with a successor in the GeForce 50 series, is not a future upgrade target, but it remains a top-tier performer. The platform's PCIe Gen 5 support ensures compatibility with future high-speed storage devices, but the CPU's 16 lanes are dedicated to the GPU, so users should check motherboard chipset lanes for additional devices.

Rate My PC: Intel Core i5-13500TE + NVIDIA GeForce RTX 4090 D

Power Build

System Balance Analysis

Intel Core i5-13500TE

NVIDIA GeForce RTX 4090 D

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work. One short paragraph per scenario, citing the numbers that support the verdict

FAQ — 5-7 Q&A pairs answerable from FACT PACK data (format: Q: ... A: ...)

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

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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