SYSTEM ANALYZER

Rate My PC: Intel Core i5-13500E + NVIDIA RTX 4000 Ada Generation

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
99%

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 RTX 4000 Ada Generation

135,218 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

# FAQ

Q: What kind of processor is the Intel Core i5-13500E?

A: The Intel Core i5-13500E is a desktop-class CPU from Intel's Core 13th Gen series, built on the Raptor Lake architecture. It features 14 cores and 20 threads, with a base clock of 2.40 GHz and a boost clock of 4.60 GHz. It uses the Intel Socket 1700 platform and is manufactured on Intel's 10 nm process node with a die size of 215 mm².

Q: What is the memory and PCIe support of the i5-13500E?

A: The processor supports dual-channel DDR4 and DDR5 memory, and includes ECC memory support. For expansion, it provides PCIe Gen 5 with 16 lanes from the CPU. It also integrates UHD Graphics 770, which serves as the built-in GPU.

Q: What are the key specifications of the NVIDIA RTX 4000 Ada Generation GPU?

A: The RTX 4000 Ada Generation is a workstation GPU based on the Ada Lovelace architecture, using the AD104 chip manufactured on TSMC's 5 nm process. It has 20 GB of GDDR6 memory on a 160-bit bus, delivering 360.0 GB/s of bandwidth. The GPU contains 6144 shading units, 192 texture mapping units, 64 ROPs, 48 RT cores, and 192 tensor cores, with a boost clock of 2175 MHz.

Q: How does the GPU's benchmark performance compare to its nearest rivals?

A: The RTX 4000 Ada Generation scores 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan, with an average benchmark score of 135218. This places it at the 95th percentile among all GPUs. Its nearest rival, the NVIDIA A10M, scores 135218 with a delta of 0%, meaning the performance is essentially identical. The AMD Radeon PRO W6800 is 0.1% ahead, the AMD Radeon Pro W6800X Duo is 0.4% ahead, and the AMD Radeon PRO V620 is 0.9% ahead.

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

A: The combined percentile for the Intel Core i5-13500E and NVIDIA RTX 4000 Ada Generation pairing is 79, indicating that this build outperforms 79% of all system combinations in the database.

Q: Is there measured FPS data for this specific combination?

A: No, the data pack contains no measured FPS rows for this exact CPU and GPU combination. All frame rate discussions in this analysis are estimated from the benchmark scores, not from direct gaming measurements.

Q: What power supply is recommended for this GPU?

A: The suggested PSU for the NVIDIA RTX 4000 Ada Generation is 300 W, and the GPU itself has a TDP of 130 W. It uses a single 16-pin power connector and is a single-slot card measuring 245 mm in length.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated by TSMC on a 5 nm process. The chip, AD104, packs 35,800 million transistors into a 294 mm² die, achieving a transistor density of 121.8 million per square millimeter. This density is remarkable for a GPU, suggesting that NVIDIA has optimized the design for both compute throughput and power efficiency within a 130 W TDP envelope.

Memory capacity is a defining feature: 20 GB of GDDR6 on a 160-bit bus. The bandwidth of 360.0 GB/s is substantial, though the bus width is narrower than what one might expect for a 20 GB card. This suggests a trade-off between capacity and cost, but for workstation tasks that require large datasets to reside in VRAM, the 20 GB capacity is often more critical than raw bandwidth. The memory clock runs at 2250 MHz, with an effective data rate of 18 Gbps.

The compute layout is impressive. With 6144 shading units, 192 TMUs, and 64 ROPs, the GPU is balanced for both texture-heavy and pixel-heavy workloads. The 48 RT cores and 192 tensor cores are the dedicated hardware for ray tracing and AI acceleration, respectively. Pixel rate is 139.2 GPixel/s, and texture rate is 417.6 GTexel/s, which are high figures for professional rendering tasks. FP32 performance is 26.73 TFLOPS, and FP16 performance matches at 26.73 TFLOPS with a 1:1 ratio, indicating that the GPU can handle both precision levels without a throughput penalty — useful for mixed-precision scientific computing.

Benchmark results reinforce the GPU's position. The Geekbench OpenCL score of 146593 and Vulkan score of 123842 are strong, with the average benchmark score of 135218 placing the GPU at the 95th percentile among all GPUs. This means it outperforms 95% of GPUs in the database. Compared to its nearest rivals, the performance is tightly clustered: the NVIDIA A10M is exactly tied at 0% delta, the AMD Radeon PRO W6800 is 0.1% faster, the AMD Radeon Pro W6800X Duo is 0.4% faster, and the AMD Radeon PRO V620 is 0.9% faster. This clustering suggests that the RTX 4000 Ada Generation sits at the top of its class, with no dominant competitor within 1%.

For rendering workloads, the 48 RT cores provide hardware-accelerated ray tracing, which is increasingly important in professional 3D visualization and architectural rendering. The 192 tensor cores enable DLSS and AI-based denoising, which can dramatically speed up interactive rendering sessions. The 20 GB VRAM is sufficient for large scenes, high-resolution textures, and multi-GPU rendering setups where each GPU needs its own copy of the scene data.

Benchmark Performance

The Intel Core i5-13500E delivers strong CPU benchmark results across several Cinebench versions. In Cinebench R15, it scores 2295 in multicore and 323 in singlecore. Moving to Cinebench R20, the multicore score jumps to 9564, while singlecore reaches 1349. In the more demanding Cinebench R23, the multicore score is 22772, and singlecore is 3214. These scores show consistent scaling across workloads, with the multicore performance improving by roughly 4x from R15 to R23, reflecting the CPU's ability to utilize its 14 cores and 20 threads effectively.

The average benchmark score for the i5-13500E is 6586, placing it at the 62nd percentile among all CPUs. This means it outperforms 62% of CPUs, which is a solid mid-to-high ranking. The nearest rivals are tightly grouped: the Intel Atom x7405C scores 6568, just 0.3% behind; the Intel Core i9-10940X scores 6605, 0.3% ahead; the Intel Pentium Gold G6405 scores 6605, 0.3% ahead; and the Intel Core i9-12900E scores 6611, 0.4% ahead. This clustering within 0.4% indicates that the i5-13500E is performance-equivalent to several higher-tier processors, despite being an "E" (embedded/efficient) variant.

On the GPU side, the RTX 4000 Ada Generation's average benchmark score of 135218 places it at the 95th percentile. The combined percentile for this CPU+GPU pairing is 79, which is significantly higher than the CPU's individual 62nd percentile but lower than the GPU's 95th percentile. This suggests that the GPU is the dominant component in terms of overall system capability, while the CPU is the limiting factor for some workloads.

The combined picture is one of a workstation-class system where the GPU is the star performer. The CPU provides competent but not exceptional multi-threaded performance, while the GPU excels in compute-intensive tasks like rendering, simulation, and AI inference. For applications that are GPU-bound — such as 3D rendering, video encoding, and machine learning — the system will perform at near the 95th percentile level. For CPU-bound tasks like code compilation or single-threaded productivity, the system will perform at the 62nd percentile level.

Balance and Bottleneck

The data reveals a clear imbalance between CPU and GPU capabilities. The GPU sits at the 95th percentile, while the CPU sits at the 62nd percentile. This 33-percentage-point gap indicates that the GPU is the more capable component and will frequently be the performance driver in most workloads.

In GPU-bound scenarios — such as high-resolution gaming, 3D rendering, and machine learning inference — the CPU will likely not bottleneck the GPU. The i5-13500E's 14 cores and 20 threads provide enough parallelism to feed the GPU's 6144 shading units and 192 tensor cores, especially at higher resolutions where the GPU is the limiting factor. The CPU's Cinebench R23 multicore score of 22772 suggests it can handle demanding game logic and physics simulations without dragging down frame rates.

However, in CPU-bound scenarios — such as low-resolution gaming, simulation-heavy physics, or single-threaded productivity tasks — the CPU will be the bottleneck. The 62nd percentile ranking means that 38% of CPUs are faster, and for tasks that rely heavily on single-core performance, the 4.60 GHz boost clock and 3214 single-core Cinebench R23 score are adequate but not leading-edge. The nearest rivals, including the Intel Core i9-12900E, are within 0.4%, suggesting that the CPU is not significantly behind its peers, but it is not a top-tier performer either.

The FPS scaling evidence, while not measured directly, can be inferred from the percentile data. In GPU-bound games at 1440p or 4K, the GPU's 95th percentile performance will dominate, and the CPU will have minimal impact on frame rates. In CPU-bound games at 1080p, the CPU's 62nd percentile will become the limiting factor, and frame rates may not scale as well with GPU upgrades.

The practical implication is that this pairing is well-suited for GPU-intensive workloads like rendering and AI, but less optimal for CPU-heavy tasks like large-scale code compilation or complex physics simulations. Users who primarily run GPU-bound applications will experience near-top-tier performance, while those who run mixed workloads may find the CPU holding back the overall experience.

Who Should Build It

This desktop build is a workstation-class system aimed at users who prioritize GPU compute performance. The RTX 4000 Ada Generation's 95th percentile ranking makes it an excellent choice for professionals in 3D rendering, video editing, and scientific computing, where the 20 GB VRAM and 26.73 TFLOPS FP32 performance are directly applicable to production workloads.

Content creators working with high-resolution video (4K or higher) will benefit from the GPU's 192 tensor cores for AI-accelerated encoding and the 20 GB VRAM for large timelines and effects stacks. The CPU's 14 cores provide sufficient multi-threaded performance for video encoding and editing tasks, though it is not the primary driver of performance in these workflows.

Software developers, particularly those working on GPU-accelerated applications or machine learning models, will find this build compelling. The 192 tensor cores and 26.73 TFLOPS FP16 performance support fast training and inference, while the CPU's 20 threads handle compilation and build tasks. The system's combined 79th percentile ranking means it can handle a wide range of development tasks without significant bottlenecks.

Students and small business workstations in fields like architecture, engineering, or data science will benefit from the GPU's rendering and compute capabilities. The 20 GB VRAM allows for large CAD models and simulation datasets, and the single-slot form factor makes it suitable for compact workstation builds. The CPU's ECC memory support adds reliability for long-running compute jobs.

Gamers at 1440p or 4K resolutions will also find this build attractive, as the GPU's 95th percentile performance will drive high frame rates in most titles. However, the CPU's 62nd percentile may limit performance in CPU-intensive games at 1080p, so this build is best suited for high-resolution gaming rather than competitive esports at low resolutions.

Usage Scenarios

High-refresh gaming: At 1440p or 4K with ultra settings, the RTX 4000 Ada Generation's 95th percentile performance should sustain high frame rates in most titles. The 20 GB VRAM provides ample headroom for high-resolution textures. The CPU's 62nd percentile may cap frame rates in some titles, but at these resolutions, the GPU is typically the limiting factor.

Streaming: The GPU's 192 tensor cores and 26.73 TFLOPS FP16 performance support hardware-accelerated encoding, which can offload streaming workloads from the CPU. The CPU's 14 cores and 20 threads provide enough capacity for game encoding plus streaming software, though the 62nd percentile ranking means there may be better options for multi-stream setups.

Video editing: The 20 GB VRAM accommodates large timelines and multi-layer effects at 4K resolution. The GPU's 26.73 TFLOPS FP32 performance accelerates rendering and effects, while the CPU's Cinebench R23 multicore score of 22772 supports video encoding and decoding. The combined 79th percentile ranking indicates a capable system for professional editing workflows.

3D rendering: The RTX 4000 Ada Generation excels here, with 48 RT cores for ray tracing and 20 GB VRAM for large scenes. The GPU's 95th percentile performance will significantly reduce render times compared to lower-tier GPUs. The CPU's 62nd percentile is adequate for scene preparation and simulation, but the GPU is the primary render driver.

Software development: The CPU's 14 cores and 20 threads handle compilation and build tasks, with a Cinebench R23 multicore score of 22772 indicating strong parallel performance. The GPU's tensor cores are useful for machine learning development, and the 20 GB VRAM supports training larger models. The system's 79th combined percentile makes it a solid development workstation.

Student and office work: The CPU's singlecore performance (3214 in Cinebench R23) handles everyday productivity tasks smoothly. The integrated UHD Graphics 770 provides a fallback if the discrete GPU is not needed. The system's overall capability far exceeds office requirements, making it a future-proof investment for students in technical fields.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact CPU and GPU combination. Therefore, all frame rate figures in this section are estimates derived from the benchmark scores, not direct measurements.

Based on the GPU's 95th percentile ranking and the CPU's 62nd percentile ranking, the system should deliver excellent gaming performance at 1440p and 4K resolutions. The GPU's 20 GB VRAM and 360.0 GB/s bandwidth provide sufficient memory for high-resolution textures and modern game assets. The 48 RT cores enable hardware-accelerated ray tracing in supported titles, and the 192 tensor cores support DLSS for performance-enhancing upscaling.

At 1440p with ultra settings, the GPU's 26.73 TFLOPS FP32 performance should drive frame rates well above 60 FPS in most titles, with ray tracing enabled where supported. At 4K, the GPU should maintain playable frame rates in the 40-60 FPS range for demanding titles, though DLSS may be needed to reach higher frame rates. The CPU's 4.60 GHz boost clock and 14 cores provide sufficient processing power for game logic and physics, though at 1080p, the CPU may become a bottleneck in CPU-intensive titles.

For esports and competitive titles that favor high frame rates at lower resolutions, the CPU's 62nd percentile ranking may limit performance. These games are often CPU-bound, and the i5-13500E's singlecore performance is adequate but not top-tier. Users seeking maximum frame rates in such games may need to consider a higher-end CPU.

Overall, this build is best suited for high-resolution gaming where the GPU is the primary performance driver. The estimated frame rates are based on the benchmark scores and should be treated as approximations, not guarantees.

Build Overview

This is a desktop-class build pairing the Intel Core i5-13500E with the NVIDIA RTX 4000 Ada Generation. The CPU is a 14-core, 20-thread processor from Intel's Core 13th Gen series, based on the Raptor Lake architecture. The GPU is a workstation-class Ada Lovelace card with 20 GB of GDDR6 memory.

The combined percentile for this pairing is 79, meaning it outperforms 79% of all system combinations in the database. The GPU is the dominant component, sitting at the 95th percentile, while the CPU sits at the 62nd percentile. This creates a system that is exceptionally strong for GPU-bound workloads but only average-to-good for CPU-bound tasks.

The build class is desktop, indicating a stationary, full-size system suitable for workstations or high-performance gaming rigs. The GPU is a single-slot card measuring 245 mm in length, making it compatible with most desktop cases. The CPU uses the Intel Socket 1700 platform, which is a mainstream desktop socket.

Overall, this is a workstation-class build with a professional GPU at its core. The RTX 4000 Ada Generation is positioned for compute and rendering workloads, not just gaming, and the CPU provides a competent foundation for these tasks. The system's 79th combined percentile ranking places it in the upper tier of desktop builds, though the CPU's lower percentile prevents it from being a top-tier performer across all workloads.

CPU Analysis

The Intel Core i5-13500E is a 14-core, 20-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-S variant. It is manufactured by Intel on a 10 nm process node with a die size of 215 mm². The CPU uses the Intel Socket 1700 platform and supports dual-channel DDR4 and DDR5 memory, with ECC memory support for reliability in workstation environments.

The core configuration is notable: 14 cores with 20 threads implies a hybrid layout, likely with 6 performance cores and 8 efficient cores, though the exact split is not specified in the data. The base clock is 2.40 GHz, and the boost clock is 4.60 GHz, which is a significant boost for single-threaded workloads. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 24 MB of shared L3 cache, providing ample cache for data-intensive applications.

Benchmark performance is solid. In Cinebench R23, the CPU scores 22772 in multicore and 3214 in singlecore. These scores indicate strong multi-threaded performance for a mid-range desktop CPU, with the multicore score being roughly 7x the singlecore score, reflecting the benefit of 14 cores. The average benchmark score of 6586 places the CPU at the 62nd percentile, which is respectable but not outstanding.

The nearest rivals are all within 0.4% of the i5-13500E's average score. The Intel Core i9-10940X and Pentium Gold G6405 both score 6605, 0.3% ahead, while the Intel Core i9-12900E scores 6611, 0.4% ahead. Interestingly, the Intel Atom x7405C scores 6568, 0.3% behind, showing that the i5-13500E sits in a tight performance cluster. This suggests that the CPU's real-world performance is competitive with higher-tier processors, despite being an "E" (embedded) variant.

For real workloads, the CPU's 14 cores and 20 threads are well-suited for multi-threaded tasks like video encoding, 3D scene preparation, and software compilation. The 24 MB L3 cache helps with data-heavy workloads, and the 4.60 GHz boost clock provides strong single-threaded performance for legacy applications. However, the 62nd percentile ranking indicates that there are faster CPUs available, particularly for tasks that rely heavily on single-core performance.

Upgrade Path and Platform

The Intel Core i5-13500E uses the Intel Socket 1700 platform, which is a mainstream desktop socket. This socket supports both DDR4 and DDR5 memory, providing flexibility in memory choice. The CPU also supports PCIe Gen 5 with 16 lanes, which is the latest generation of PCIe connectivity, though the GPU in this build uses PCIe 4.0 x16.

The GPU, NVIDIA RTX 4000 Ada Generation, has a TDP of 130 W and a suggested PSU of 300 W. This is a modest power requirement for a workstation GPU, meaning that most desktop power supplies with a 300 W rating or higher will suffice. The GPU uses a single 16-pin power connector, which is standard for modern GPUs. The 130 W TDP is low for a GPU with this level of performance, indicating good power efficiency.

The upgrade path for this build is clear. The CPU's Socket 1700 platform supports Intel Core 13th Gen processors, so users can upgrade to a higher-tier CPU within the same generation without changing the motherboard. The i5-13500E sits at the 62nd percentile, so upgrading to a Core i9-13900K or similar would provide a significant performance boost for CPU-bound workloads.

For the GPU, the RTX 4000 Ada Generation is already at the 95th percentile, so there is limited headroom for a meaningful GPU upgrade. The next step up would be a higher-tier workstation GPU, though the data does not specify which models are available. The 300 W suggested PSU provides headroom for a more power-hungry GPU, should the user choose to upgrade.

Memory upgrades are straightforward, with support for both DDR4 and DDR5. The dual-channel memory bus means that adding more memory will improve bandwidth for memory-intensive tasks. The ECC memory support is a key feature for workstation reliability, and users can take advantage of this with compatible ECC modules.

Overall, the upgrade path is sensible: the CPU can be upgraded within the Socket 1700 platform for better multi-threaded performance, while the GPU is already near the top of its class. The 300 W PSU headroom allows for a more powerful GPU if needed, though the current GPU's 130 W TDP means that most users will not need to upgrade the power supply.