SYSTEM ANALYZER

Rate My PC: Intel Core Ultra 5 235A + 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
94%
VS
GPU
99%
PROCESSOR

Intel Core Ultra 5 235A

48,201 Benchmark Score
Top 6% 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 235A paired with the NVIDIA RTX 4000 Ada Generation is a desktop build aimed at a specific intersection of professional workload capability and high-end gaming performance. The data shows a CPU that sits at the 90th percentile among all processors and a GPU at the 95th percentile among all graphics cards, placing the combined system at the 93rd percentile overall. This is not a mainstream gaming rig; it is a workstation-class GPU bolted to a strong mid-range desktop CPU, and the benchmark results reveal a pairing where the CPU will often dictate the ceiling in highly threaded tasks, while the GPU dominates raw rendering and graphics throughput.

Balance and Bottleneck

The benchmark data indicates a system where the bottleneck shifts depending on the workload type, but neither component is severely mismatched for the other in most scenarios. The CPU’s average benchmark score is 48201, while the GPU’s average is 135218; the GPU is clearly the more powerful component in raw computational output, but the CPU’s single-threaded performance is strong enough to feed it in most gaming scenarios. The CPU’s PassMark single-thread score of 4557 and Cinebench R23 single-core score of 4607 place it in a competitive position for gaming, where per-core performance is critical for frame pacing.

However, the data suggests a potential bottleneck in multi-threaded productivity tasks if the workload is not GPU-accelerated. The CPU’s Cinebench R23 multicore score of 32633 is respectable, but its PassMark multithread score of 38392 is notably lower than its single-threaded standing, indicating that while it has 14 cores, they are not hyper-threaded (14 threads total). In contrast, the GPU’s Geekbench OpenCL score of 146593 shows massive parallel throughput, making it the clear accelerator for rendering, simulation, and AI inference. For gaming at high resolutions, the GPU will likely be the primary limiter, as the CPU has enough headroom to keep up with the RTX 4000 Ada’s frame output at lower resolutions.

The FPS scaling picture is incomplete because no measured FPS rows exist for this exact combination. However, based on the percentile positions, the GPU’s 95th percentile ranking versus the CPU’s 90th percentile suggests that in GPU-bound scenarios (4K gaming, ray tracing), the GPU will be the limiting factor. In CPU-bound scenarios (competitive esports at 1080p, physics simulations), the CPU’s 14 threads and 5.00 GHz boost clock will be the constraint, but it remains a capable driver. The data indicates a balanced system for mixed workloads, with the GPU carrying the heavier load in graphics-intensive tasks and the CPU providing solid, if unspectacular, multi-threaded grunt.

Benchmark Performance

The CPU’s benchmark suite shows a processor that is strong in single-threaded tasks but modest in multi-threaded scaling. In Cinebench R15, it scores 3289 multicore and 464 single-core; in R20, it reaches 13705 multicore and 1934 single-core; in R23, it hits 32633 multicore and 4607 single-core. These scores place it at the 90th percentile versus all CPUs, with an average benchmark score of 48201. Compared to its nearest rivals, it is essentially tied with the AMD Ryzen AI Max PRO 380 (deltaPct 0.1), and it trails the Intel Core Ultra 5 245HX by 0.2%. It is 0.6% behind the AMD EPYC 4345P and 0.6% ahead of the AMD Ryzen 9 3900. This is a tightly contested mid-range desktop field, and the 235A holds its own within it.

The GPU’s benchmarks are more lopsided. The Geekbench OpenCL score of 146593 and Vulkan score of 123842 place it at the 95th percentile among all GPUs, with an average benchmark score of 135218. It is virtually identical to the NVIDIA A10M (deltaPct 0), and it beats the AMD Radeon PRO W6800 by 0.1%, the AMD Radeon Pro W6800X Duo by 0.4%, and the AMD Radeon PRO V620 by 0.9%. The combined picture is a system where the GPU is a top-tier workstation part, while the CPU is a solid but not exceptional desktop chip. The 93rd combined percentile reflects this: the GPU is pulling the system upward, but the CPU is not holding it back significantly in most tasks.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFpsUltraByGame entries, so all frame rate discussions below are estimates derived from the benchmark scores and percentile positions, not direct measurements. Treat these figures as qualitative expectations rather than verified results.

Based on the GPU’s 95th percentile ranking and the CPU’s strong single-core scores, this system should be capable of high-refresh-rate gaming at 1080p and 1440p in most titles, with the RTX 4000 Ada Generation providing ample headroom for ultra settings. At 4K, the GPU’s 20 GB VRAM and 360.0 GB/s memory bandwidth will allow for high texture quality, but the 160-bit memory bus may limit performance in bandwidth-heavy scenarios compared to wider-bus workstation cards. The GPU’s 48 RT cores and 192 tensor cores indicate strong ray tracing and DLSS capabilities, which should boost frame rates in supported titles. The CPU’s 5.00 GHz boost clock and 14 cores will handle modern game engines well, but the lack of hyper-threading (14 threads) could become a minor issue in games that scale beyond 8-10 threads. Expect smooth 60+ FPS at 1440p ultra in most titles, with 4K performance depending heavily on the game’s optimization and whether DLSS is employed.

Who Should Build It

This build targets professionals and prosumers who need workstation-class GPU performance without sacrificing desktop CPU responsiveness. The RTX 4000 Ada’s 20 GB VRAM and 26.73 TFLOPS FP32 performance make it ideal for 3D rendering, video editing, and scientific computing, where the data shows it outperforms 95% of all GPUs. Content creators working with large 3D scenes or high-resolution video will benefit from the GPU’s memory capacity and bandwidth, while the CPU’s 24 MB L3 cache and 102.4 GB/s memory bandwidth will handle asset loading and scene management competently.

The CPU’s 90th percentile performance also suits developers compiling code, running virtual machines, or managing containerized workloads, with its 14 cores providing parallel throughput for build processes. Students in engineering or data science fields will find the system capable for MATLAB, TensorFlow, or CAD workloads, though the GPU’s tensor cores will accelerate AI training significantly. Small business workstations running financial modeling or database workloads will see strong performance in PassMark data compression (393800) and encryption (30136) scores. Gamers who also do professional work are the primary audience, but this is not a pure gaming build; the GPU is a workstation part, not a GeForce gaming card, so its driver optimizations favor compute over frame rate in some titles.

CPU Analysis

The Intel Core Ultra 5 235A is a desktop processor from the Core Ultra Series 2, built on the Arrow Lake architecture using a 3 nm TSMC process. It packs 14 cores and 14 threads, meaning no hyper-threading, with a base clock of 3.40 GHz and a boost clock of 5.00 GHz. The 65 W TDP is modest for a desktop chip, making it easy to cool. The cache hierarchy includes 192 KB L1 per core, 3 MB L2 per core, and 24 MB shared L3, which is adequate for modern workloads.

The benchmark data shows a processor that excels in single-threaded tasks, with a PassMark single-thread score of 4557 and a Cinebench R23 single-core score of 4607. This is critical for gaming and lightly threaded applications. In multi-threaded tasks, the lack of hyper-threading shows: the Cinebench R23 multicore score of 32633 is good but not exceptional, and the PassMark multithread score of 38392 is lower than competitors with similar core counts but hyper-threading. The PassMark tests reveal specific strengths: floating-point math (118778) and integer math (88626) are strong, but find prime numbers (392) is weak, indicating the CPU is not ideal for certain brute-force mathematical workloads. The data compression score of 393800 and encryption score of 30136 are solid for a desktop chip, making it suitable for file compression and secure data handling. Overall, the CPU is a balanced mid-range part that prioritizes single-threaded performance over extreme multi-threaded throughput.

FAQ

Q: What is the socket and platform for the Intel Core Ultra 5 235A?

A: The CPU uses Intel Socket 1851, which is the LGA 1851 platform for Arrow Lake-S desktop processors.

Q: Does the RTX 4000 Ada Generation support ray tracing?

A: Yes, it has 48 RT cores, and it supports DirectX 12 Ultimate (12_2), which includes ray tracing features.

Q: How much VRAM does the GPU have and what type?

A: It has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 360.0 GB/s.

Q: What is the CPU’s memory support?

A: It supports DDR5 memory in a dual-channel configuration, with a memory bandwidth of 102.4 GB/s.

Q: Is the CPU overclockable?

A: No, the multiplier is locked (multiplierUnlocked is false), so it cannot be overclocked via multiplier adjustments.

Q: What is the GPU’s FP32 compute performance?

A: The GPU delivers 26.73 TFLOPS of FP32 performance, which is identical to its FP16 performance (26.73 TFLOPS, 1:1 ratio).

Q: How does the CPU compare to the AMD Ryzen 9 3900?

A: The 235A has an average benchmark score of 48201, which is 0.6% higher than the AMD Ryzen 9 3900’s score of 47918.

Upgrade Path and Platform

The platform is built around Intel Socket 1851, which is the LGA 1851 socket for Arrow Lake-S. The CPU supports DDR5 memory in dual-channel mode, with a memory bandwidth of 102.4 GB/s, so upgrading to higher-speed DDR5 kits will directly improve memory-bound workloads. The CPU provides PCIe Gen 5 with 20 lanes, while the GPU uses PCIe 4.0 x16, so there is no bottleneck from the bus interface. The CPU’s 65 W TDP is low, and the GPU’s 130 W TDP with a suggested PSU of 300 W means the system has significant PSU headroom for future upgrades; a 300 W power supply is the minimum recommendation, so most mid-range PSUs will handle this build with room to spare.

A sensible next upgrade would be adding more DDR5 memory, as the dual-channel configuration can be fully utilized with higher-capacity kits. The GPU’s single-slot design and 16-pin power connector suggest it is a workstation part, so upgrading to a larger Ada or Blackwell PRO W card would require a wider slot but the PSU headroom is there. The CPU’s locked multiplier limits overclocking, so a future CPU upgrade would require a new motherboard if moving to a different socket, but within LGA 1851, there is room for higher-tier Core Ultra 7 or 9 parts if more multi-threaded performance is needed. The storage options are robust given the PCIe Gen 5 lanes, so adding a Gen 5 NVMe SSD would accelerate data-heavy workloads.

Build Overview

This is a desktop build (buildClass: desktop) that pairs the Intel Core Ultra 5 235A with the NVIDIA RTX 4000 Ada Generation. The combined percentile is 93, placing it in the top 7% of all possible CPU+GPU combinations. The CPU is a 14-core, 14-thread Arrow Lake part from the Core Ultra Series 2, aimed at the mainstream desktop segment, while the GPU is a 20 GB workstation card from the GeForce 40-series, based on Ada Lovelace architecture. The overall tier is high-end workstation, given the GPU’s 95th percentile ranking, but the CPU’s 90th percentile means it is not a top-tier enthusiast gaming system. This pairing is best described as a professional workstation with gaming capabilities, rather than a pure gaming PC. The data shows a system that will excel in GPU-accelerated tasks like rendering and AI, while providing solid, if not flagship, performance in CPU-bound workloads and gaming.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation GPU built on the Ada Lovelace architecture, using the AD104 chip on a 5 nm TSMC process. It has 6144 shading units, 192 TMUs, and 64 ROPs, with 48 RT cores and 192 tensor cores. The clock speeds are 1500 MHz base and 2175 MHz boost, with a memory clock of 2250 MHz (18 Gbps effective). The 20 GB of GDDR6 memory sits on a 160-bit bus, yielding a bandwidth of 360.0 GB/s. The pixel rate is 139.2 GPixel/s, and the texture rate is 417.6 GTexel/s, with FP32 and FP16 performance both at 26.73 TFLOPS.

The benchmark scores confirm its workstation pedigree: a Geekbench OpenCL score of 146593 and a Vulkan score of 123842 place it at the 95th percentile among all GPUs. It is effectively tied with the NVIDIA A10M (deltaPct 0), and it outperforms the AMD Radeon PRO W6800 by 0.1%, the Radeon Pro W6800X Duo by 0.4%, and the Radeon PRO V620 by 0.9%. The 20 GB VRAM is the standout feature, allowing for large datasets and high-resolution textures without spilling to system memory. The 48 RT cores support hardware ray tracing, and the 192 tensor cores accelerate AI workloads like DLSS and machine learning inference. The 360.0 GB/s bandwidth is a potential limitation for extremely memory-hungry tasks, but the high FP32 throughput compensates in compute-heavy rendering. The GPU’s 130 W TDP and single-slot design make it a practical choice for multi-GPU or space-constrained workstations, and its PCIe 4.0 x16 interface is fully compatible with the CPU’s PCIe Gen 5 lanes. For rendering, the data shows this GPU will crush most workloads, while its gaming performance, though not measured, should be strong given its raw specs.