SYSTEM ANALYZER

Rate My PC: Intel Core Ultra 5 135UL + NVIDIA RTX 5000 Ada Generation

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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70 Score

Top 30% Ranking

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%

GPU

99%

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

PROCESSOR

Intel Core Ultra 5 135UL

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

The Intel Core Ultra 5 135UL and NVIDIA RTX 5000 Ada Generation form a desktop pairing that targets professional workstation workloads with a distinct performance skew. The data shows a CPU that sits at the 50th percentile of all processors, paired with a GPU that reaches the 98th percentile among all graphics cards. This imbalance defines the system’s character, making it a specialized tool rather than a general-purpose gaming rig. The combination delivers a combined percentile ranking of 74, indicating that the whole system outranks a majority of configurations, but the specific strengths and weaknesses are heavily dictated by the individual components.

CPU Analysis

The Intel Core Ultra 5 135UL is a 12-core, 14-thread processor built on the Meteor Lake architecture, specifically the Meteor Lake-PS variant. It operates within a 15-watt TDP, a remarkably low power envelope for a desktop chip, which explains its modest base clock of 1.60 GHz. However, the processor can reach a boost clock of 4.40 GHz, providing substantial single-thread headroom when workloads demand it. The architecture is manufactured on Intel’s 7 nm process node and utilizes the Intel Socket 1851 platform.

The cache hierarchy is structured with 112 KB of L1 cache per core, 2 MB of L2 cache per core, and a shared 12 MB L3 cache. This configuration supports a dual-channel DDR5 memory bus with a bandwidth of 89.6 GB/s, though the actual memory speed depends on the motherboard. The CPU provides PCIe Gen 4 with 8 lanes from the processor itself, which is a limiting factor for expansion, though the system still supports dedicated graphics through the motherboard chipset. The chip includes integrated Arc Xe-LPG graphics with 64 execution units, and it is not multiplier-unlocked, meaning overclocking is not a supported feature.

Benchmark results for this CPU are sparse, with an average benchmark score of zero and an empty nearestRivals array. However, its percentile ranking of 50 against all CPUs indicates it performs in the middle of the pack. This is consistent with a low-power design: the 15-watt TDP severely constrains sustained multi-core throughput, while the 4.40 GHz boost clock offers competitive single-core responsiveness for bursty tasks. In real workloads, this translates to a processor that handles everyday productivity, light compilation, and office applications with ease, but it will lag behind higher-power desktop chips in prolonged all-core rendering or heavy scientific computations. The low power draw makes it suitable for systems where thermal output and energy efficiency are priorities, such as compact workstations or always-on small business servers.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact combination of the Intel Core Ultra 5 135UL and the NVIDIA RTX 5000 Ada Generation. Consequently, all frame rate discussions here are estimates derived from the underlying benchmark scores and component characteristics, not from direct testing. The data clearly indicates that this is not a gaming-first configuration.

Given the GPU’s 98th percentile ranking and its massive 32 GB memory buffer, the RTX 5000 Ada Generation is capable of producing very high frame rates in most titles, particularly at 1440p and 4K resolutions, where its raw compute power and bandwidth can be fully utilized. The GPU’s Geekbench scores—175,286 in OpenCL and 194,041 in Vulkan—suggest strong rasterization and compute performance, which would translate to high FPS in GPU-bound scenarios. However, the CPU’s 50th percentile ranking and its 15-watt TDP present a potential bottleneck in CPU-intensive games, especially at lower resolutions or with high refresh rate targets. In such cases, the processor’s modest core count and limited sustained clocks could cap frame rates below what the GPU could otherwise deliver.

At 1080p, the CPU is more likely to be the limiting factor, potentially holding the GPU back in fast-paced esports titles. At 4K, the GPU becomes the dominant component, and the high memory bandwidth and shading power should allow for smooth gameplay in graphically demanding single-player titles, assuming the game engine is not heavily single-thread dependent. As such, prospective builders should treat these FPS figures as estimates only, with the expectation that gaming performance will be respectable but not optimal for competitive play. The system is far better suited for content creation and professional visualization than for chasing maximum frame rates.

Benchmark Performance

The GPU provides the overwhelming majority of the system’s compute capability. In Geekbench OpenCL, the RTX 5000 Ada Generation scores 175,286, and in Vulkan, it scores 194,041. The average benchmark score across these tests is 184,664, placing it in the 98th percentile of all GPUs. This places it in rarefied air, directly competing with data center and flagship workstation cards. The nearest rivals show how close the competition is: the NVIDIA A100 SXM4 80 GB is only 0.5% ahead, while the A100 SXM4 40 GB is 1.3% behind. The RTX PRO 5000 Blackwell trails by 1.4%, and the GeForce RTX 4090 D is 3.7% behind. This data indicates that the RTX 5000 Ada Generation sits at the very top tier of compute performance, within a few percentage points of the fastest accelerators available.

The CPU, with no benchmark scores recorded and a 50th percentile position, presents a stark contrast. The combined system percentile of 74 reflects this disparity, showing that the whole is greater than the sum of its parts in terms of overall ranking, but the CPU does not contribute meaningfully to high-end compute tasks. For workloads that rely primarily on the GPU—such as machine learning inference, 3D rendering, or video encoding—the system will perform near the top of the charts. For CPU-bound tasks like code compilation or spreadsheet analysis, the performance will be average. The combined picture is one of a specialized workstation where the GPU is the star and the CPU is a supporting actor, providing adequate system responsiveness without stealing power or thermal headroom from the graphics card.

Who Should Build It

This build targets professionals who need massive GPU compute power in a desktop form factor, without a corresponding need for high-end CPU performance. The primary audience is 3D artists and animators working with large scenes, as the 32 GB VRAM buffer allows them to load entire complex models and textures into memory, avoiding the constant swapping that plagues smaller-memory cards. The GPU’s high FP32 throughput of 65.28 TFLOPS makes it suitable for offline rendering with ray tracing, where the 100 RT cores can accelerate photorealistic output.

Content creators working with 8K video or high-resolution image processing will benefit from the GPU’s compute capabilities, though the CPU may bottleneck some single-threaded editing tasks. Developers working on machine learning models can leverage the 400 tensor cores for training and inference, with the GPU’s performance being comparable to the A100 SXM4 80 GB, a card often used in data centers. Students and researchers in fields like computational fluid dynamics or molecular simulation will find the system adequate, provided their software can offload the heavy lifting to the GPU.

Small business workstations that require reliability and energy efficiency, rather than raw CPU speed, are a good fit. The 15-watt CPU keeps the system cool and quiet, while the GPU handles the demanding graphical or compute tasks. Gamers who prioritize 4K resolution and maximum detail settings may find the system acceptable, but the CPU’s mid-pack performance and the high cost of the GPU make it a poor value for pure gaming. This is a professional tool, not a gaming console.

FAQ

Q: What is the Intel Core Ultra 5 135UL’s position relative to other CPUs?

A: It ranks in the 50th percentile of all CPUs, indicating mid-pack performance. This is due to its low 15-watt TDP and modest core configuration of 12 cores and 14 threads.

Q: How does the RTX 5000 Ada Generation compare to its nearest competitors?

A: It is within 1.4% of the NVIDIA A100 SXM4 80 GB and the RTX PRO 5000 Blackwell, and it is 3.7% ahead of the GeForce RTX 4090 D. Its average benchmark score is 184,664.

Q: What is the GPU’s memory capacity and bandwidth?

A: The GPU has 32 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth. The memory clock runs at 2250 MHz, or 18 Gbps effective.

Q: Does this system support ECC memory?

A: No, the CPU does not support ECC memory, which may be a consideration for enterprise users who require error correction for critical data.

Q: What kind of power supply is recommended for this GPU?

A: The manufacturer suggests a 600-watt power supply for the system. The GPU itself has a TDP of 250 watts and requires a single 16-pin power connector.

Q: What PCIe interface does the GPU use?

A: The GPU uses a PCIe 4.0 x16 interface, which is fully compatible with the CPU’s PCIe Gen 4 support, although the CPU only natively provides 8 lanes.

Q: Are there measured game frame rates for this configuration?

A: No, the FACT PACK contains no measured FPS data for this combination. All gaming performance is estimated from the GPU’s benchmark scores and CPU’s percentile ranking.

Upgrade Path and Platform

The system is built on the Intel Socket 1851 platform, which supports the Core Ultra Series 1 processors. The CPU supports dual-channel DDR5 memory, with the actual speed depending on the motherboard. The platform provides PCIe Gen 4 from the CPU, but only 8 lanes natively, which means a single high-speed GPU or NVMe drive can be accommodated directly, but multi-GPU setups or multiple expansion cards would be limited without a motherboard chipset that provides additional lanes.

The GPU uses a PCIe 4.0 x16 interface, which is the same generation as the CPU’s PCIe support, so there is no bottleneck on the bus interface. A sensible next upgrade would involve replacing the CPU with a higher-TDP Core Ultra Series 1 processor on the same socket, provided the motherboard’s power delivery can handle it. The 15-watt TDP of the current chip leaves significant thermal and power headroom in most systems, so a more powerful CPU would likely fit without a PSU upgrade. The suggested PSU of 600 watts for the GPU leaves ample room for additional drives or peripherals.

Memory is the most straightforward upgrade, as moving to a faster DDR5 kit or higher capacity would improve system responsiveness and help avoid RAM bottlenecks in large dataset workloads. The GPU, however, is already near the top of the performance stack, so upgrading it further would yield diminishing returns unless a specific workload demands more than 32 GB of VRAM or higher bandwidth. The platform’s primary limitation is the CPU’s lane count and low power budget, so any future upgrade should prioritize a higher-core-count CPU with a higher TDP to balance the system’s compute capabilities.

Balance and Bottleneck

The data clearly identifies the CPU as the primary bottleneck in most workloads. With a 50th percentile CPU ranking and a 98th percentile GPU ranking, there is a massive imbalance in compute capability. In CPU-bound tasks—such as single-threaded application logic, script execution, or light compilation—the processor will limit overall system throughput, preventing the GPU from being fully utilized. This is most apparent in gaming at lower resolutions, where the CPU must feed the GPU with draw calls and physics calculations.

Conversely, in GPU-bound workloads like rendering, machine learning inference, or video encoding, the GPU is the dominant component, and the CPU’s low power draw becomes an advantage, as it does not generate excessive heat or consume power that could otherwise go to the graphics card. The FPS scaling in games would show a plateau at higher resolutions, where the GPU becomes the limiting factor, versus a drop at lower resolutions, where the CPU is the constraint. For professional tasks, the bottleneck analysis suggests that the system excels when the workload is massively parallel and GPU-accelerated, but struggles with sequential, CPU-heavy processes. The 15-watt CPU also limits multi-threaded performance, meaning any task that cannot be offloaded to the GPU will run at a level typical of an energy-efficient laptop chip rather than a desktop workstation.

Build Overview

This is a desktop build classified as a workstation-class configuration, pairing a mid-tier, ultra-low-power CPU with a flagship professional GPU. The combined percentile of 74 indicates that the system outperforms roughly three-quarters of all configured systems, but this ranking is almost entirely due to the GPU’s exceptional performance. The build’s overall tier is that of a specialized compute node, intended for graphics-intensive and compute-heavy professional applications rather than general-purpose use or gaming.

The pairing is unusual because the CPU and GPU come from different performance strata. The Intel Core Ultra 5 135UL is an efficient, low-power processor designed for compact systems, while the RTX 5000 Ada Generation is a massive, dual-slot card with a 250-watt TDP. This creates a system that is physically and thermally imbalanced, with the CPU barely contributing to the thermal load while the GPU requires robust cooling and a 600-watt PSU. The build is best described as a GPU-centric workstation, where the CPU serves only to run the operating system and feed data to the graphics card, making it a cost-effective way to achieve top-tier GPU performance without investing in a high-end processor that would not improve GPU-bound outcomes.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is built on the AD102 chip, using the Ada Lovelace architecture and manufactured on TSMC’s 5 nm process. The chip contains 76,300 million transistors on a 609 mm² die, giving it a transistor density of 125.3 million per square millimeter. It operates with a base clock of 1155 MHz and a boost clock of 2550 MHz, with memory running at 2250 MHz, or 18 Gbps effective.

The GPU is equipped with 32 GB of GDDR6 memory on a 256-bit bus, yielding 576.0 GB/s of bandwidth. It has 12,800 shading units, 400 texture mapping units, and 176 raster output units. For ray tracing and AI workloads, it includes 100 RT cores and 400 tensor cores. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s. The FP32 performance is 65.28 TFLOPS, with FP16 performance at the same 65.28 TFLOPS due to a 1:1 ratio.

The benchmark results place this GPU in the 98th percentile of all GPUs, with an average score of 184,664 across Geekbench OpenCL and Vulkan tests. The nearest rival, the A100 SXM4 80 GB, is only 0.5% faster, while the RTX PRO 5000 Blackwell is 1.4% slower and the RTX 4090 D is 3.7% slower. For rendering workloads, this means the GPU can handle complex scenes with ray tracing and large textures without VRAM constraints, and the high tensor core count accelerates AI-based denoising and upscaling. The 4x DisplayPort 1.4a outputs support multiple high-resolution monitors, making it suitable for multi-display workstations. The GPU is a dual-slot card measuring 267 mm in length and 112 mm in height, requiring a 600-watt PSU and a single 16-pin power connector.

Rate My PC: Intel Core Ultra 5 135UL + NVIDIA RTX 5000 Ada Generation

Power Build

System Balance Analysis

Intel Core Ultra 5 135UL

NVIDIA RTX 5000 Ada Generation

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

CPU Analysis

Gaming Performance

Benchmark Performance

Who Should Build It

FAQ

Upgrade Path and Platform

Balance and Bottleneck

Build Overview

GPU Analysis

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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