SYSTEM ANALYZER

Rate My PC: Intel Core Ultra 5 235TA + NVIDIA RTX 5000 Ada Generation

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

70 / 100
HIGH-END

Power Build

Top 30% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
41%
VS
GPU
99%

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

PROCESSOR

Intel Core Ultra 5 235TA

0 Benchmark Score
Top 59% 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

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

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated on a 5 nm process at TSMC with 76,300 million transistors on a 609 mm² die. The GPU is based on the AD102 chip, the same silicon family that powers NVIDIA's top consumer and professional offerings, but configured here with a substantial 32 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. This memory configuration is a defining characteristic: 32 GB is an enormous capacity for a single GPU, and while the 576.0 GB/s bandwidth is not the absolute highest available, the sheer size of the VRAM pool is what sets this card apart for rendering workloads that demand large datasets, high-resolution textures, and complex scenes that would otherwise spill into system memory.

Clock speeds are listed at 1,155 MHz base and 2,550 MHz boost, with memory running at 2,250 MHz (18 Gbps effective). The boost clock of 2,550 MHz is notably high for a workstation GPU, and when combined with the massive shader array of 12,800 shading units, 400 texture mapping units, and 176 raster output units, the raw compute throughput becomes substantial. The FP32 performance is rated at 65.28 TFLOPS, with FP16 also at 65.28 TFLOPS (1:1 ratio), meaning there is no half-rate penalty for FP16 workloads — a relevant detail for AI inference and certain scientific computations that leverage reduced precision. The pixel rate is 448.8 GPixel/s and the texture rate is 1,020.0 GTexel/s, both of which are strong indicators for fill-rate-bound scenarios in rendering.

For ray tracing and tensor operations, the RTX 5000 Ada Generation includes 100 RT cores and 400 tensor cores. The RT cores are dedicated to accelerating ray-traced rendering, which is critical for architectural visualization, product design, and film-quality rendering where global illumination and reflections are computed in real time. The 400 tensor cores are equally important, as they accelerate DLSS, AI denoising, and other neural network-based rendering techniques. In benchmark terms, the GPU scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, with an average benchmark score of 184,664. These scores place it in the 98th percentile of all GPUs, meaning it outperforms approximately 98% of the GPUs in the database. The Vulkan score is notably higher than the OpenCL score, suggesting the architecture handles compute tasks well under both APIs, with Vulkan showing a slight edge in this specific implementation.

Comparing to nearest rivals, the RTX 5000 Ada Generation sits in a tight competitive cluster. The NVIDIA A100 SXM4 80 GB has an average score of 183,725, which is 0.5% lower than the RTX 5000 Ada's average — essentially a statistical tie. The A100 SXM4 40 GB scores 187,147, which is 1.3% higher, putting the RTX 5000 Ada slightly behind that variant. The NVIDIA RTX PRO 5000 Blackwell scores 182,109, which is 1.4% lower, and the GeForce RTX 4090 D scores 178,050, which is 3.7% lower. What this reveals is that the RTX 5000 Ada Generation is positioned at the very top tier of GPU compute performance, trading blows with data-center-class accelerators like the A100 while offering the advantage of a desktop form factor with 32 GB of VRAM. For rendering specifically, the combination of high FP32 throughput, 100 RT cores, and 32 GB of memory means it can handle scenes that would exhaust GPUs with smaller memory pools, such as massive 3D scans, multi-material product visualizations, or complex simulation meshes.

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

The benchmark data for this pairing is asymmetric: the GPU has rich, measured benchmark scores, while the CPU has no individual benchmark scores listed, only a percentile ranking. The Intel Core Ultra 5 235TA sits at the 50th percentile of all CPUs, with an average benchmark score of 0, which indicates that no standardized benchmark data is available in the database for this processor. This is a significant gap in the data, but the percentile ranking of 50 tells us that, based on the database's internal scoring, this CPU performs at the median level — neither a standout performer nor a laggard among all CPUs tracked. The combined percentile for the CPU+GPU pairing is 74, which reflects the overall tier of the system: the GPU is carrying the performance profile, pulling the combined score well above the CPU's individual median position.

The GPU benchmark scores, as detailed in the previous section, are 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, with an average of 184,664. These numbers place the RTX 5000 Ada Generation in the 98th percentile of all GPUs, a position that puts it in the top 2% of all GPUs in the database. The deltaPct values against its nearest rivals are telling: it is 0.5% ahead of the A100 SXM4 80 GB, 1.3% behind the A100 SXM4 40 GB, 1.4% ahead of the RTX PRO 5000 Blackwell, and 3.7% ahead of the GeForce RTX 4090 D. The fact that the RTX 5000 Ada sits within a 1.3% margin of the A100 variants — which are data-center GPUs with significantly different power and cooling profiles — underscores that this desktop card is delivering compute performance at the extreme high end.

The combined picture is one of imbalance: a median-tier CPU paired with a top-2% GPU. This is a configuration where the GPU is clearly the performance centerpiece, and the CPU is selected to support, rather than lead, the workload. The combined percentile of 74 reflects this skew — the system as a whole is well above average, but the GPU is doing most of the heavy lifting. For workloads that are GPU-bound — such as rendering, AI inference, or compute-heavy simulations — this pairing makes sense because the GPU will dominate performance. For CPU-bound tasks like single-threaded application logic or lightly-threaded workloads, the CPU's 50th percentile ranking suggests it will deliver average performance, potentially leaving the GPU idle while waiting for the CPU to feed it data.

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

The Intel Core Ultra 5 235TA is a desktop processor from the Core Ultra Series 2, built on the Arrow Lake architecture (codename Arrow Lake-S) at a 3 nm process node fabricated by TSMC. The chip contains 17,800 million transistors on a die size of 243 mm², making it a relatively dense, modern design. The CPU has 14 cores and 14 threads, which means there is no hyperthreading — each core handles exactly one thread. This is a notable design choice, as it means the CPU's multithreaded performance is derived entirely from its physical core count rather than additional logical threads. The base clock is 2.20 GHz with a boost clock of 5.00 GHz, a 2.8 GHz range that allows the CPU to scale from power-efficient operation to high single-thread performance when needed.

The cache hierarchy consists of 192 KB of L1 cache per core, 3 MB of L2 cache per core, and 24 MB of shared L3 cache. The L2 cache is particularly generous at 3 MB per core, which for 14 cores totals 42 MB of L2, plus the 24 MB of L3, giving a combined cache pool of 66 MB. This is a substantial amount of on-die memory, which helps reduce latency for frequently accessed data and can benefit workloads that exhibit good cache locality. The memory support is DDR5 over a dual-channel bus, with a memory bandwidth of 102.4 GB/s. This is a modest bandwidth figure compared to the GPU's 576.0 GB/s, but it is typical for a dual-channel desktop platform. The CPU does not support ECC memory, which is a consideration for mission-critical error-checking workloads. PCIe support is Gen 5 with 20 lanes from the CPU, providing high-bandwidth connectivity for GPUs and NVMe storage.

The integrated graphics are Arc Xe-LPG with 24 execution units, which is a basic iGPU suitable for display output and light 2D workloads, but not intended for gaming or compute-heavy tasks. The CPU has a TDP of 65 watts, placing it in the mainstream power envelope, and it uses the Intel Socket 1851. The launch MSRP is $269. It was released on 2025-07-28, indicating it is a recent addition to the market. The multiplier is not unlocked, so overclocking is not supported through the multiplier.

With a 50th percentile ranking among all CPUs, the Core Ultra 5 235TA is positioned at the median. Without specific benchmark scores, the data does not indicate how it performs in single-threaded versus multithreaded tests, but the 14-core/14-thread configuration at 5.00 GHz boost suggests it should handle multi-threaded workloads competently, given the absence of hyperthreading. The 14 threads are all physical, which can be advantageous for certain workloads that prefer dedicated cores over logical threads. Real-world workloads that would benefit include software compilation, where multiple cores can be utilized, and content creation tasks like video encoding, provided the software is threaded. The 65 W TDP means it should be easy to cool with a capable air cooler, and its 3 nm process node suggests good power efficiency for a desktop chip.

# FAQ

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

A: The NVIDIA RTX 5000 Ada Generation is in the 98th percentile of all GPUs, meaning it outperforms about 98% of GPUs tracked in the database.

Q: How does the RTX 5000 Ada Generation compare to the NVIDIA A100 SXM4 80 GB?

A: The RTX 5000 Ada Generation has an average benchmark score of 184,664, which is 0.5% higher than the A100 SXM4 80 GB's average score of 183,725, making them essentially tied in performance.

Q: What is the CPU's percentile ranking and what does it indicate?

A: The Intel Core Ultra 5 235TA is in the 50th percentile of all CPUs, which indicates median-level performance compared to all CPUs in the database.

Q: How much memory 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 are the GPU's clock speeds?

A: The GPU has a base clock of 1,155 MHz and a boost clock of 2,550 MHz, with memory running at 2,250 MHz (18 Gbps effective).

Q: Does the CPU support ECC memory?

A: No, the Intel Core Ultra 5 235TA does not support ECC memory, as indicated in the memory support specifications.

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

A: The combined percentile is 74, reflecting a system that is well above average overall, with the GPU being the dominant factor.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination — the FACT PACK contains no measuredFpsUltraByGame entries. Consequently, all FPS figures discussed here are estimates derived from the benchmark scores and should be treated as approximations rather than measured results.

The GPU's 98th percentile ranking, with an average benchmark score of 184,664, suggests that in gaming scenarios, the RTX 5000 Ada Generation would deliver exceptionally high frame rates at virtually any resolution, including 4K. The 32 GB of VRAM is far beyond what any current game requires, so texture quality and resolution would not be constrained by memory capacity. The 100 RT cores and 400 tensor cores would enable ray-traced effects and DLSS upscaling, further boosting performance in supported titles. The Geekbench Vulkan score of 194,041, which is higher than the OpenCL score, hints that the GPU's compute performance translates well to gaming APIs, as Vulkan is a common backend for modern game engines.

However, the CPU's 50th percentile ranking introduces a potential limitation. At lower resolutions like 1080p, where the CPU is more likely to be the bottleneck, the Core Ultra 5 235TA's median performance could cap frame rates below what the GPU is capable of producing. At 1440p and 4K, the GPU becomes the primary driver, and the CPU's role diminishes, allowing the RTX 5000 Ada to flex its muscle. Given the boost clock of 5.00 GHz, single-threaded performance should be decent — likely sufficient for 1440p and 4K gaming at high refresh rates — but players targeting 360 Hz or 500 Hz esports scenarios at 1080p might find the CPU limiting. The 14 cores and 14 threads would also handle modern games that use more than a few threads, though the lack of hyperthreading could affect performance in games that benefit from more than 14 threads.

# Who Should Build It

This pairing targets users who need extreme GPU compute performance in a desktop form factor, with the CPU serving as a supporting component rather than the star. The 98th percentile GPU is aimed at professionals in rendering, 3D modeling, and AI workloads that require massive VRAM. The 32 GB of memory on the RTX 5000 Ada Generation is specifically suited for industries like architectural visualization, where scenes can contain billions of polygons and multi-gigabyte texture sets, or for video editors working with 8K footage and complex color grades that exhaust smaller GPU memory pools. The 100 RT cores make it a strong choice for real-time ray-traced rendering in applications like product design reviews or virtual production environments.

The CPU at the 50th percentile is a mainstream desktop part, which makes this build accessible to a broader audience than a workstation with a top-tier CPU. Gamers who want to play at 4K with all settings maxed out, including ray tracing, would benefit from the GPU's performance, provided they accept that the CPU may limit frame rates at lower resolutions. Content creators who are GPU-accelerated — such as video editors using GPU-encoded exports or 3D artists using GPU-based render engines — would find the pairing well-suited, as their workflows are primarily GPU-bound. Software developers working on GPU compute, machine learning researchers running inference or training on large models, and students in computer graphics programs would also find value, as the 32 GB VRAM allows for experimentation with datasets that would not fit on lesser GPUs. Small business workstations that handle CAD, simulation, or data visualization would benefit from the GPU's certified-class performance, though the lack of ECC memory on the CPU might be a concern for some enterprise environments.

# Usage Scenarios

High-refresh gaming: At 4K resolution, the RTX 5000 Ada Generation's 98th percentile performance would deliver very high frame rates in most titles, especially with DLSS enabled via its 400 tensor cores. The CPU's 50th percentile ranking might limit 1080p high-refresh scenarios, but at 4K, the GPU is the dominant factor, and the 5.00 GHz boost clock helps maintain playable frame rates.

Streaming: The GPU's NVENC encoder (inherent in the Ada Lovelace architecture) would handle video encoding with minimal performance impact, while the CPU's 14 physical cores can manage streaming software and game logic concurrently. The 65 W TDP keeps system power manageable, which is beneficial for sustained streaming sessions.

Video editing: The 32 GB of VRAM is ideal for timeline playback of high-resolution footage and GPU-accelerated effects. The GPU's 65.28 TFLOPS of FP32 compute would speed up rendering and export times, while the CPU's 14 cores provide adequate processing for editing software's background tasks.

3D rendering: With 100 RT cores and 32 GB of memory, this system excels at ray-traced rendering. Scenes that would exceed the VRAM of smaller GPUs can be handled entirely on the GPU, avoiding the performance penalty of memory swapping. The CPU's median performance is sufficient for asset management and scene preparation, but the GPU does the heavy lifting.

Software development: The CPU's 14 cores and 5.00 GHz boost clock would compile code efficiently, and the 65 W TDP makes it a power-efficient choice for all-day development. The GPU's compute power could be harnessed for local testing of CUDA or OpenCL code, and the 32 GB VRAM allows for compiling and running large-scale GPU applications without external hardware.

Student and office work: For general productivity, this is overkill. The CPU at the 50th percentile handles office tasks without issue, and the integrated Arc Xe-LPG graphics can drive displays, but the GPU's power and cost are wasted on spreadsheets and web browsing. This scenario only makes sense if the student is in a GPU-intensive field like computer graphics or data science.

# Build Overview

This is a desktop-class build pairing the Intel Core Ultra 5 235TA with the NVIDIA RTX 5000 Ada Generation. The CPU is a mainstream 14-core processor from Intel's Core Ultra Series 2, based on Arrow Lake architecture, fabricated on a 3 nm process. The GPU is a workstation-class card based on Ada Lovelace, with 32 GB of GDDR6 memory and a top-2% performance ranking. The combined percentile of 74 places this system in the upper quartile of all tracked CPU+GPU combinations, though this figure is heavily influenced by the GPU's exceptional standing. The CPU's 50th percentile and the GPU's 98th percentile create a wide gap in capability, meaning the system's overall performance tier is defined almost entirely by the GPU. This is a workstation-class GPU married to a mid-range desktop CPU, resulting in a system that excels at GPU-bound workloads but is unremarkable in CPU-bound tasks.

# Balance and Bottleneck

The performance imbalance between the CPU and GPU is stark. The CPU sits at the 50th percentile of all CPUs, while the GPU is at the 98th percentile of all GPUs — a 48-percentage-point gap. This means that in workloads heavily reliant on the CPU, such as single-threaded applications, database operations, or lightly-threaded game logic, the CPU is likely to be the limiting factor. The GPU's immense compute capability would be underutilized in such scenarios, as the CPU cannot feed data to it fast enough or cannot execute the serial portions of the workload quickly enough to keep the GPU busy.

Conversely, in GPU-bound workloads like 3D rendering, machine learning training, or video encoding, the GPU is the clear performance driver, and the CPU's role is reduced to feeding geometry, textures, and commands. In these cases, the bottleneck shifts to the GPU, and the CPU's median performance is sufficient to avoid being a significant constraint. The FPS scaling in gaming would demonstrate this: at 1080p, frame rates would likely be CPU-limited, showing performance typical of a 50th percentile CPU, while at 4K, frame rates would be GPU-limited, reflecting the GPU's 98th percentile standing. The 32 GB of VRAM also means that memory capacity will not be a bottleneck in any realistic gaming or rendering scenario, further emphasizing the GPU's dominance.

# Upgrade Path and Platform

The platform is built around Intel Socket 1851, which supports DDR5 memory in a dual-channel configuration. The CPU provides 20 PCIe Gen 5 lanes, which is ample for the GPU's PCIe 4.0 x16 interface, leaving additional lanes for a Gen 5 NVMe SSD. The GPU has a TDP of 250 W, and the suggested PSU is 600 W, meaning there is headroom for a more power-hungry CPU in the future, as the current CPU's TDP is 65 W. The system's power delivery can accommodate a CPU upgrade to a higher-TDP part within the 600 W PSU budget, assuming the motherboard's VRM design supports it.

For a sensible next upgrade, the most impactful change would be to replace the Core Ultra 5 235TA with a higher-percentile CPU on the same Socket 1851 platform, such as a Core Ultra 7 or Core Ultra 9 model, which would balance the system and improve CPU-bound performance. The GPU, at the 98th percentile, is unlikely to need an upgrade for several years, and its 32 GB of VRAM ensures future-proofing for memory-intensive workloads. The memory bandwidth of 102.4 GB/s for the CPU is a potential bottleneck for data-heavy workloads, but upgrading to faster DDR5 modules could improve this, provided the CPU and motherboard support higher memory speeds. The PCIe Gen 5 lanes from the CPU are forward-looking, allowing for future high-bandwidth peripherals, though the GPU itself uses PCIe 4.0. The 600 W PSU suggestion leaves room for a higher-TDP CPU, but a GPU upgrade would require checking the new card's power requirements against this figure. Overall, the platform is solid with a clear path to a more balanced system by upgrading the CPU.