SYSTEM ANALYZER

Rate My PC: Intel Core Ultra 5 235 + NVIDIA RTX 4000 Ada Generation

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

96 / 100
ULTIMATE READY

Apex Performer

Top 4% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
93%
VS
GPU
99%
PROCESSOR

Intel Core Ultra 5 235

46,062 Benchmark Score
Top 7% 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

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 5 235 and NVIDIA RTX 4000 Ada Generation represent a pairing of a mainstream desktop processor with a professional workstation graphics card. The data indicates this is a desktop-class build with a combined performance percentile of 92, placing it well above the majority of systems. The CPU achieves an 89th percentile ranking among all processors, while the GPU sits higher at the 95th percentile among all graphics cards. This combination suggests a system designed for professional content creation and GPU-accelerated workloads rather than pure gaming, which is reflected in the workstation-oriented GPU selection.

CPU Analysis

The Intel Core Ultra 5 235 is built on the Arrow Lake-S architecture, fabricated on a 3 nm process at TSMC. It features 14 cores and 14 threads, meaning there is no hyperthreading, with a base clock of 3.40 GHz and a boost clock of 5.00 GHz. The processor has a 65W TDP and integrates an Arc Xe-LPG Graphics 24EU solution for basic display output. The cache hierarchy includes 192 KB of L1 per core, 3 MB of L2 per core, and 24 MB of shared L3 cache.

Benchmark results place this CPU in the 89th percentile of all processors, with an average benchmark score of 46,062. In Cinebench R23, the processor scores 14,769 in multi-core and 2,085 in single-core tests. The multi-core score of 14,769 suggests strong sustained throughput for rendering and compilation tasks, while the single-core score of 2,085 indicates solid responsiveness for everyday applications and lightly-threaded workloads.

Comparisons with nearest rivals show a tight competitive field. The AMD Ryzen AI 9 HX 375 scores 46,030, which is 0.1% lower than the Ultra 5 235. The Intel Core i9-13900HX scores 46,098, a marginal 0.1% higher. The AMD EPYC 4364P and EPYC 7303 score 45,970 and 45,960 respectively, representing 0.2% deltas. These figures indicate the Ultra 5 235 sits squarely in a performance cluster where no single processor holds a significant advantage in aggregate benchmarks.

In Passmark tests, the CPU shows particular strength in data compression with a score of 390,711, and floating-point math at 117,951. The integer math score of 87,948 and extended instructions score of 32,752 suggest balanced compute capability. The multithread score of 37,816 reinforces the multi-core capability, while the single-thread score of 4,516 aligns with the strong Cinebench single-core showing. The physics score of 2,570 is comparatively modest, which may reflect the lack of hyperthreading limiting certain physics simulations.

Upgrade Path and Platform

The Intel Core Ultra 5 235 uses the Intel Socket 1851, which is the platform for the Core Ultra Series 2 desktop processors. Memory support is DDR5 in a dual-channel configuration, providing 102.4 GB/s of memory bandwidth. The platform supports PCIe Gen 5 with 20 lanes available from the CPU, offering substantial bandwidth for storage and expansion cards. ECC memory is not supported, which is worth noting for users considering long-duration compute tasks where memory error correction might be valued.

The GPU, an NVIDIA RTX 4000 Ada Generation, uses a PCIe 4.0 x16 interface. This means the GPU runs at PCIe 4.0 speeds even though the CPU supports PCIe Gen 5 for other devices. The GPU has a 130W TDP and suggests a 300W power supply, which is modest for a workstation card. The single 16-pin power connector simplifies cabling, and the single-slot form factor at 245 mm in length allows installation in compact chassis.

For a sensible next upgrade, the platform supports the same Socket 1851 family, meaning users could potentially move to a higher-core-count Core Ultra 5 or Core Ultra 7 processor from the same generation without changing the motherboard. However, the data shows the current CPU is already performing at the 89th percentile, so the realistic upgrade path would be adding more memory capacity with DDR5 modules or expanding PCIe Gen 5 storage. The 65W TDP of the CPU gives substantial headroom in most power supplies, especially given the 300W suggested PSU for the GPU, making the overall system power requirements relatively easy to satisfy.

FAQ

Q: What is the combined performance standing of this CPU and GPU pairing?

A: This desktop build achieves a combined performance percentile of 92, meaning it outperforms approximately 92% of all tracked system configurations.

Q: How does the CPU compare against its closest rivals in aggregate benchmark scores?

A: The Intel Core Ultra 5 235 scores 46,062 on average. The AMD Ryzen AI 9 HX 375 trails by 0.1%, the Intel Core i9-13900HX leads by 0.1%, and the AMD EPYC 4364P and EPYC 7303 trail by 0.2% each.

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

A: The RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, delivering 360.0 GB/s of bandwidth with memory clocked at 2250 MHz (18 Gbps effective).

Q: Does this system support PCIe Gen 5?

A: Yes, the CPU provides 20 PCIe Gen 5 lanes for devices such as NVMe storage, while the GPU itself operates on PCIe 4.0 x16 from the bus interface specification.

Q: What are the Cinebench R23 scores for the CPU?

A: The CPU scores 14,769 in multi-core Cinebench R23 and 2,085 in single-core, placing it in the 89th percentile of all processors.

Q: Is the GPU’s RTX 4000 Ada Generation a gaming card or workstation card?

A: The GPU is from the Workstation Ada generation, featuring 48 RT cores and 192 Tensor cores, indicating a focus on professional rendering and AI workloads rather than consumer gaming.

Q: What is the launch MSRP of the CPU?

A: The launch MSRP of the Intel Core Ultra 5 235 is $257.

Who Should Build It

The performance profile of this system targets users who need substantial CPU compute for multi-threaded tasks and a GPU capable of professional-grade rendering. Content creators working with video editing software will benefit from the CPU’s strong multi-core Cinebench R23 score of 14,769, which accelerates export and encoding times. The GPU’s 20 GB of VRAM and 360.0 GB/s bandwidth provide capacity for large texture sets and complex scenes.

Software developers compiling large codebases will appreciate the Passmark integer math score of 87,948 and multithread score of 37,816, which indicate capable parallel compilation throughput. The 14 cores without hyperthreading still deliver solid performance, as the 89th percentile ranking demonstrates. Small business workstations handling data processing tasks can leverage the data compression score of 390,711, which is exceptionally high relative to other workloads.

Students in engineering or design disciplines would find the system capable for CAD and simulation work, given the GPU’s workstation architecture with 6,144 shading units and FP32 performance of 26.73 TFLOPS. The system is less suited for gamers at high refresh rates given the workstation GPU focus, but the CPU’s single-core score of 2,085 in Cinebench R23 and Passmark single-thread of 4,516 ensure responsive general use. Users requiring ECC memory for data integrity would need to look elsewhere, as the platform does not support it.

Balance and Bottleneck

The data reveals a system where the GPU is the more dominant component, sitting at the 95th percentile compared to the CPU’s 89th percentile. This 6-percentage-point gap suggests the GPU is the stronger performer relative to its peers, meaning in workloads that are GPU-bound, the CPU should not be the limiting factor. For tasks like 3D rendering with RTX acceleration, the GPU’s 48 RT cores and 192 Tensor cores will likely be the primary driver of performance.

In CPU-bound workloads such as physics simulations, the Passmark physics score of 2,570 is the lowest relative score in the CPU’s benchmark suite, indicating a potential bottleneck in complex physics calculations. The lack of hyperthreading (14 threads on 14 cores) may contribute to this, as heavily-threaded workloads with high per-thread overhead might not scale as efficiently as processors with additional threads.

For gaming, since no measured FPS data exists for this combination, estimates must be derived from the benchmark scores. The GPU’s Geekbench OpenCL score of 146,593 and Vulkan score of 123,842 indicate strong raw compute, but the workstation driver optimization may not prioritize frame rates. The CPU’s single-thread performance is solid, so in CPU-limited scenarios at lower resolutions, the CPU should hold up, but the GPU’s professional focus suggests frame rates may be lower than a comparable consumer gaming GPU.

Memory bandwidth is another consideration. The CPU’s 102.4 GB/s is modest for a modern platform, and the GPU’s 360.0 GB/s is lower than high-end consumer cards. For workloads that stream large datasets between CPU and GPU, the PCIe 4.0 x16 interface provides adequate bandwidth, but the DDR5 dual-channel configuration could be a bottleneck in memory-intensive tasks.

Gaming Performance

This system has no measured FPS data for any game at ultra settings, as the FACT PACK contains no measuredFps rows for the Intel Core Ultra 5 235 and RTX 4000 Ada Generation combination. All gaming performance figures discussed here are estimates derived from the benchmark scores and should be treated as approximations rather than verified results.

Based on the GPU’s 95th percentile ranking and its FP32 performance of 26.73 TFLOPS, the RTX 4000 Ada Generation is capable of high frame rates at 1080p and 1440p in most titles. The 20 GB of VRAM provides ample capacity for high-resolution textures at 4K, but the 160-bit memory bus and 360.0 GB/s bandwidth are narrower than typical gaming cards, which may limit performance in bandwidth-sensitive scenarios. The GPU’s Geekbench Vulkan score of 123,842 suggests good API efficiency, but workstation drivers may not be tuned for the latest game-specific optimizations.

The CPU’s single-thread performance, with a Cinebench R23 score of 2,085 and Passmark single-thread of 4,516, should not bottleneck most games at 60 FPS targets. However, for high-refresh-rate gaming at 240 Hz or above, the 14-core design without hyperthreading may show limitations in games that rely on fewer, higher-clocked cores. The 5.00 GHz boost clock helps, but the architecture is not specifically optimized for gaming workloads. Overall, this system would be an unusual choice for gaming, as the workstation GPU is better suited for compute tasks than frame rendering.

Usage Scenarios

High-refresh gaming is possible but not ideal. The GPU’s strong compute scores suggest it can render many frames, but the workstation focus and narrower memory bus may prevent it from reaching the highest frame rates in esports titles. The CPU’s single-core strength supports responsive gameplay, but users seeking 240 Hz or higher refresh rates may find the system falls short of dedicated gaming hardware.

Streaming and content creation are where this system excels. The CPU’s multi-core Cinebench score of 14,769 handles encoding workloads well, while the GPU’s 192 Tensor cores can accelerate AI-based video enhancement tools. The 20 GB VRAM allows for large video timelines and multiple effects layers without memory pressure.

Video editing in applications like Premiere Pro or DaVinci Resolve benefits from the combination of strong CPU multi-threading and GPU acceleration. The Passmark multithread score of 37,816 supports smooth timeline scrubbing and preview rendering, while the GPU’s FP32 performance of 26.73 TFLOPS accelerates effects and color grading.

3D rendering with RTX-enabled renderers will see substantial acceleration from the GPU’s 48 RT cores. The 26.73 TFLOPS FP16 performance, with a 1:1 ratio to FP32, indicates strong compute for both single and half-precision workloads. The 20 GB VRAM is sufficient for complex scenes without out-of-core memory swapping.

Software development benefits from the CPU’s balanced performance. The data encryption score of 29,293 and extended instructions score of 32,752 indicate capable handling of cryptographic and SIMD workloads. The 14 cores provide good parallel compilation, and the 89th percentile ranking ensures the system keeps pace with modern development demands.

Student and office work is well-served by the single-thread performance and integrated Arc Xe-LPG Graphics 24EU as a backup display solution. The Passmark single-thread score of 4,516 ensures snappy application launches and document editing, while the 65W TDP keeps power consumption reasonable for long study sessions.

Build Overview

This build pairs the Intel Core Ultra 5 235, a 14-core Arrow Lake desktop processor, with the NVIDIA RTX 4000 Ada Generation, a workstation-class GPU based on Ada Lovelace architecture. The system is classified as a desktop build with a combined performance percentile of 92, indicating it outperforms the vast majority of tracked configurations.

The CPU occupies the 89th percentile among all processors, with an average benchmark score of 46,062, while the GPU sits at the 95th percentile with an average score of 135,218. This places the system in the upper echelon of desktop workstations, suitable for professional workloads that demand both strong CPU throughput and GPU compute capability.

The pairing is notable for its efficiency: the CPU’s 65W TDP and the GPU’s 130W TDP, with a suggested PSU of 300W, mean the entire system can run on a modest power supply. The single-slot GPU at 245 mm length fits in most mid-tower cases, and the 14-core CPU provides ample multi-threading for concurrent tasks. This is a workstation built for productivity, not a gaming rig, and the component selection reflects that focus.

Benchmark Performance

The CPU’s benchmark suite shows a consistent pattern of strong multi-core and single-core performance. In Cinebench R15, the CPU scores 1,488 multi-core and 210 single-core. Cinebench R20 yields 6,202 multi-core and 875 single-core. The R23 results of 14,769 multi-core and 2,085 single-core are the most commonly referenced for comparison purposes.

The Passmark results provide additional insight into specific workload characteristics. Data compression scores 390,711, which is exceptionally high and indicates strong memory and cache performance. Data encryption scores 29,293, and extended instructions score 32,752. Floating-point math scores 117,951, while integer math scores 87,948. The multithread score of 37,816 and single-thread score of 4,516 confirm the balanced design.

The GPU’s Geekbench scores show strong compute capability: 146,593 in OpenCL and 123,842 in Vulkan. These scores place the GPU at the 95th percentile, with an average benchmark score of 135,218. The nearest rivals are closely matched: the NVIDIA A10M scores 135,230 (0% delta), the AMD Radeon PRO W6800 scores 135,396 (-0.1%), the AMD Radeon Pro W6800X Duo scores 135,774 (-0.4%), and the AMD Radeon PRO V620 scores 136,472 (-0.9%). The combined picture is a system where the GPU is the standout component, outperforming the CPU in relative terms.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is built on the Ada Lovelace architecture using a 5 nm process at TSMC, with 35,800 million transistors on a 294 mm² die. The chip is the AD104, featuring 6,144 shading units, 192 texture mapping units, and 64 raster output units. The GPU includes 48 RT cores and 192 Tensor cores, providing hardware acceleration for ray tracing and AI-based workloads.

Memory consists of 20 GB of GDDR6 on a 160-bit bus, with a bandwidth of 360.0 GB/s. Memory clocks run at 2250 MHz, translating to 18 Gbps effective. The base clock is 1500 MHz with a boost clock of 2175 MHz. Pixel rate is 139.2 GPixel/s and texture rate is 417.6 GTexel/s. FP32 performance is 26.73 TFLOPS, with FP16 also at 26.73 TFLOPS (1:1 ratio).

The GPU sits at the 95th percentile of all graphics cards, with an average benchmark score of 135,218. Its Geekbench OpenCL score of 146,593 indicates strong general compute, while the Vulkan score of 123,842 shows capable graphics API performance. The 20 GB VRAM is substantial for professional workloads, allowing large models and scenes to reside entirely in GPU memory.

The nearest rival comparisons show the RTX 4000 Ada Generation is essentially tied with the NVIDIA A10M (0% delta) and AMD Radeon PRO W6800 (-0.1% delta). The larger deltas against the W6800X Duo (-0.4%) and PRO V620 (-0.9%) are still minimal, indicating a tight cluster of workstation GPU performance. For rendering workloads, the 48 RT cores provide hardware ray tracing acceleration, while the 192 Tensor cores enable DLSS and other AI-based features, making this GPU a capable choice for professional visualization and compute tasks.