SYSTEM ANALYZER

Rate My PC: Intel Core i5-14500 + NVIDIA RTX 4000 Ada Generation

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

95 / 100
ULTIMATE READY

Apex Performer

Top 5% 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
92%
VS
GPU
99%
PROCESSOR

Intel Core i5-14500

38,531 Benchmark Score
Top 8% 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 i5-14500 and NVIDIA RTX 4000 Ada Generation form a desktop pairing that sits at the 91st percentile overall, a figure that suggests a high level of capability for a wide range of tasks. The CPU, a 14-core, 20-thread Raptor Lake Refresh part on the Intel Socket 1700 platform, and the GPU, a workstation-class Ada Lovelace card with 20 GB of VRAM, are not a typical gaming combination but rather a potent workstation-oriented duo. The data indicates a system that prioritizes multi-threaded throughput and professional-grade compute features over the raw gaming frame rates one might expect from a consumer GeForce card. This analysis will explore the measured benchmark scores, the balance between the two primary components, and the implications for various professional and creative workflows, noting that no measured FPS data exists for this exact combination, so all gaming discussion is estimated from the benchmark scores.

CPU Analysis

The Core i5-14500 is built on the Raptor Lake architecture, specifically the Raptor Lake-R refresh, and is fabricated on Intel's 10 nm process node. With 14 cores and 20 threads, it leverages a hybrid architecture of performance and efficiency cores, a design choice that is reflected in its benchmark performance. The base clock is 2.60 GHz, which can boost up to 5.00 GHz, and it includes 24 MB of shared L3 cache alongside a per-core L2 cache of 1.25 MB. This configuration delivers a strong balance between single-thread responsiveness and multi-threaded capability, as evidenced by its benchmark scores.

In synthetic tests, the CPU demonstrates robust performance. Its Cinebench R23 multi-core score of 15012 and single-core score of 1917 indicate a processor that can handle both heavily threaded workloads and tasks that depend on a single fast core. The Geekbench scores of 13390 (multi-core) and 2099 (single-core) corroborate this assessment. The PassMark suite reveals specific strengths; the integer math score of 108124 and floating-point math score of 79576 suggest strong general processing power, while the data compression score of 371294 is particularly notable, indicating excellent capability for archiving and file management tasks. The encryption score of 21457 and extended instructions score of 22473 show that the CPU is also well-equipped for security-related workloads and modern instruction sets.

The CPU's average benchmark score is 38531, placing it in the 86th percentile of all CPUs. This is a high ranking, but the nearest rivals show that it is a tight race at this performance tier. The Intel Core Ultra 5 235T scores an average of 38561, which is a delta of -0.1% compared to the i5-14500. The Intel Xeon w3-2525 scores 38392, a 0.4% difference, and the Intel Core 9 270H and Core Ultra 9 285H achieve 38335 and 38312, respectively, with deltas of 0.5% and 0.6%. The data shows that the i5-14500 is effectively at parity with these competing parts, with the differences being within a margin of error. This places the CPU in a highly competitive segment where its 65 W TDP is a distinguishing factor, as it achieves this performance level with a relatively modest power draw. For real workloads, this means a user can expect snappy application launches and responsive multitasking, with the multi-core scores suggesting serious capability in video editing timelines and 3D rendering engines that can utilize all 20 threads.

Balance and Bottleneck

The balance between the Core i5-14500 and the RTX 4000 Ada Generation is an interesting study in workload distribution. The CPU is a high-performance mainstream part, while the GPU is a professional workstation card. In many gaming scenarios, a CPU like this might be paired with a high-end consumer GPU, but here the pairing is different. The GPU's 26.73 TFLOPS of FP32 performance and 20 GB of VRAM suggest that its primary focus is on compute-heavy tasks like rendering, simulation, and machine learning, where the CPU's 14 cores and 20 threads can keep up with data preparation and dispatch.

The potential bottleneck depends heavily on the specific application. In a CPU-bound scenario, such as physics calculations in a simulation or compiling code, the i5-14500's 86th percentile ranking will be the limiting factor. Its PassMark physics score of 1746 is a modest figure, suggesting that while it is capable, it may not be the system's primary strength. Conversely, in GPU-bound workloads like high-resolution 3D rendering or large dataset processing, the RTX 4000 Ada Generation, with its 95th percentile ranking, will be the dominant force. The 0.6% delta to the Intel Core Ultra 9 285H and the virtual tie with the Xeon w3-2525 indicate that the CPU is well-matched to not starve the GPU in professional applications, but it will not be the component that pushes the system to the 91st combined percentile.

The data suggests that for interactive tasks like 3D viewport manipulation, the system is likely well-balanced, as the CPU's strong single-core score of 1917 in Cinebench R23 will handle the interface logic while the GPU renders the view. For final frame rendering, the GPU will be the clear bottleneck, but this is a desirable situation, as it is the component that can be upgraded to yield the most significant performance gains. The system's overall balance is not about gaming FPS scaling but about ensuring that the CPU is fast enough to feed the GPU's massive compute throughput without being a liability. In this context, the Core i5-14500 appears to be a sensible partner, providing a solid foundation without over-spending on CPU capabilities that would not be utilized by the GPU's workload.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports both DDR4 and DDR5 memory, allowing for flexibility in system building. The CPU provides PCIe Gen 5 with 16 lanes, which is crucial for future high-bandwidth expansion cards, though the RTX 4000 Ada Generation itself is a PCIe 4.0 x16 card. The presence of ECC memory support is a key feature for workstation users, as it ensures data integrity during long-running compute tasks. The integrated UHD Graphics 770 is a useful fallback for troubleshooting or for systems that do not require the discrete GPU for all tasks.

The GPU has a suggested PSU of 300 W, which is quite low for a card with a 130 W TDP. This indicates that the system will not require a massive power supply, making it easier to build a compact and efficient workstation. The CPU's 65 W TDP further reinforces this, as the total system power draw is likely to be manageable with a quality 500-600 W power supply, even though the data only explicitly states the GPU's suggested PSU. The GPU is a single-slot card with a 1x 16-pin power connector, which is compact for its performance class and will fit in a variety of chassis.

A sensible next upgrade path for this system would be to focus on memory and storage. The dual-channel memory bus means that populating all slots with fast DDR5 would improve memory bandwidth, which can benefit CPU-bound tasks. The CPU's 14 cores and 20 threads are still a strong foundation, so an upgrade to a higher-core-count processor on the same socket is possible, but the data suggests that the current CPU is already performing at a high level, making an upgrade less urgent. The most significant upgrade would be to the GPU, but the RTX 4000 Ada Generation is already in the 95th percentile, so any replacement would need to be a top-tier professional card to yield a meaningful improvement. The platform's support for PCIe Gen 5 means that future storage devices and accelerators will be fully supported, making this a forward-looking base.

Who Should Build It

This system is targeted at professionals who need serious compute power in a desktop form factor. The CPU's high multi-threaded scores, such as the Cinebench R23 multi-core score of 15012, make it ideal for software developers compiling large codebases or running virtual machines. The PassMark data compression score of 371294 is particularly beneficial for data analysts and scientists who work with large datasets that need to be frequently archived or transferred. The GPU's 20 GB of VRAM and 360.0 GB/s of bandwidth make it suitable for rendering complex 3D scenes, training machine learning models, or editing high-resolution video.

For content creators, the combination is powerful. Video editors using software that can leverage the GPU's 48 RT cores for effects and the CPU's 20 threads for encoding will find a capable partner. 3D artists using render engines like Octane or V-Ray will see the GPU's 26.73 TFLOPS of FP32 performance and 192 tensor cores put to heavy use. The system is also well-suited for students in engineering or computer science fields, who can use it for simulation, CAD work, and programming assignments. Small business workstations that need to handle tasks like financial modeling, database management, and graphic design will find that this system provides ample performance without excessive power consumption. It is not a typical gaming build, but rather a tool for those who create and compute.

FAQ

Q: What is the CPU's performance tier relative to other processors?

A: The Intel Core i5-14500 has an average benchmark score of 38531, which places it in the 86th percentile of all CPUs. Its nearest rival, the Intel Core Ultra 5 235T, scores 38561, a delta of -0.1%, placing them in a virtual tie.

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

A: The NVIDIA RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, providing a memory bandwidth of 360.0 GB/s.

Q: Does the motherboard need to support a specific PCIe version for the GPU?

A: The GPU uses a PCIe 4.0 x16 bus interface, but the CPU provides PCIe Gen 5 with 16 lanes. The system is backward compatible, so the GPU will work in a PCIe 5.0 slot.

Q: Is error-correcting code (ECC) memory supported?

A: Yes, the Intel Core i5-14500 supports ECC memory, which is a critical feature for data-intensive professional workloads that require high reliability.

Q: What is the power supply requirement for this GPU?

A: The suggested PSU for the NVIDIA RTX 4000 Ada Generation is 300 W. This is a modest requirement for a card with a 130 W TDP.

Q: What is the launch MSRP of the CPU?

A: The launch MSRP of the Intel Core i5-14500 is $232.

Q: What is the GPU's performance ranking?

A: The GPU has an average benchmark score of 135218, placing it in the 95th percentile of all GPUs.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation graphics card based on the AD104 chip, built on the Ada Lovelace architecture and fabricated by TSMC on a 5 nm process. It packs 35,800 million transistors on a 294 mm² die. The card features 6144 shading units, 192 texture mapping units, and 64 raster output processors. It is equipped with 48 RT cores and 192 tensor cores, which are the dedicated hardware for ray tracing and AI-accelerated tasks, respectively. The base clock is 1500 MHz, with a boost clock of 2175 MHz, and the memory runs at an effective speed of 18 Gbps.

The memory subsystem consists of 20 GB of GDDR6 on a 160-bit bus, delivering a bandwidth of 360.0 GB/s. This configuration is a defining feature, as the 20 GB capacity is significantly larger than what is typical for consumer cards, making it suitable for large models and datasets. The card's theoretical performance is formidable, with a pixel rate of 139.2 GPixel/s, a texture rate of 417.6 GTexel/s, and an FP32 performance of 26.73 TFLOPS. The FP16 performance is also 26.73 TFLOPS, operating at a 1:1 ratio with FP32, which is notable for machine learning inference and training.

In benchmark tests, the GPU scored 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan. These scores place the card in the 95th percentile of all GPUs, with an average benchmark score of 135218. Its nearest rival is the NVIDIA A10M, which scores 135230, a delta of 0%. The AMD Radeon PRO W6800 scores 135396, a -0.1% delta, and the AMD Radeon Pro W6800X Duo scores 135774, a -0.4% delta. This data shows that the RTX 4000 Ada Generation is at the top of its class, essentially matching or slightly exceeding its direct competitors. The 48 RT cores will accelerate ray-traced rendering in professional DCC applications, and the 192 tensor cores provide a platform for AI denoising and other neural network-based features. For rendering, the combination of high FP32 throughput and large VRAM capacity suggests that it can handle complex scenes with high-resolution textures and heavy geometry.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination, so all gaming frames per second (FPS) figures should be considered estimates based on the benchmark scores. The GPU's 95th percentile ranking and high compute performance suggest that it is more than capable of running games, but its workstation-class drivers and memory configuration (20 GB, but a 160-bit bus) may not be optimized for gaming in the same way as a GeForce card.

The GPU's 26.73 TFLOPS of FP32 power is comparable to a high-end consumer card, so at 1080p and 1440p resolutions, the system would likely deliver high frame rates in most titles at ultra settings. The CPU's strong single-core score of 1917 in Cinebench R23 indicates that it can keep up with the game logic and physics processing, preventing a CPU bottleneck in most scenarios. However, the 360.0 GB/s memory bandwidth is modest for a card in this performance tier, which could be a limiting factor at 4K resolution where texture bandwidth demands are higher.

The system is not designed for gaming, but it would not be a slouch. A user could expect to play esports titles like Counter-Strike or League of Legends at very high frame rates, as these are primarily CPU-bound and the i5-14500 is strong. For AAA titles, the GPU's raw power should still produce playable frame rates at high settings, but the lack of gaming-specific optimizations in the driver stack might lead to lower performance than a similarly priced GeForce card. The data suggests that this is a system for work that can also play games, not a gaming system that can also work.

Build Overview

This is a desktop build that pairs a 14th Gen Intel Core i5 processor with a professional NVIDIA workstation GPU. The Core i5-14500 is a high-performance mainstream CPU with 14 cores and 20 threads, and the RTX 4000 Ada Generation is a single-slot workstation card with 20 GB of VRAM. The combined percentile for this pairing is 91st, which is a strong indicator of overall system capability. This is a class-leading combination for a desktop workstation, designed for users who need serious multi-threaded CPU power for code compilation or rendering, and massive GPU compute for visualization or machine learning.

The system is not a typical gaming PC, but rather a tool for creators and professionals. The CPU's 65 W TDP and the GPU's 130 W TDP mean that the total system power draw is relatively low, making it efficient to run and cool. The GPU's single-slot design and 245 mm length make it suitable for compact workstation cases. This is a build that prioritizes performance per watt and professional features over gaming-centric specifications like high memory bandwidth or gaming-specific driver optimizations.

Benchmark Performance

The CPU's average benchmark score is 38531, placing it in the 86th percentile. Its performance is tightly clustered with its rivals; it is only 0.1% behind the Intel Core Ultra 5 235T, 0.4% ahead of the Intel Xeon w3-2525, and 0.5% and 0.6% ahead of the Intel Core 9 270H and Intel Core Ultra 9 285H, respectively. This indicates a highly competitive processor that offers a balanced mix of single and multi-threaded performance.

The GPU's average benchmark score is 135218, placing it in the 95th percentile. It is exactly tied with the NVIDIA A10M, and is 0.1% ahead of the AMD Radeon PRO W6800, 0.4% ahead of the AMD Radeon Pro W6800X Duo, and 0.9% ahead of the AMD Radeon PRO V620. This shows that the GPU is at the very top of its performance class. Together, the CPU and GPU form a system with a combined percentile of 91. The CPU is a strong performer, but it is the GPU that is the standout component, driving the system's high overall ranking. The data indicates a build where the GPU is the primary investment, and the CPU is a well-matched companion that ensures the rest of the system does not hold it back.

Usage Scenarios

High-Refresh Gaming: The system is capable of high-refresh gaming at 1080p and 1440p, driven by the GPU's 26.73 TFLOPS of FP32 performance and the CPU's strong single-core score of 1917. Frame rates in esports titles would be very high, though the lack of measured FPS data means these are estimates.

Streaming: The GPU's 192 tensor cores can handle AI-based encoding and enhancement tasks, while the CPU's 20 threads can manage the game and streaming software. The PassMark multi-thread score of 30777 indicates there is ample headroom for simultaneous gameplay and encoding.

Video Editing: The CPU's Cinebench R23 multi-core score of 15012 will accelerate timeline rendering and export, while the GPU's 20 GB of VRAM allows for smooth editing of high-resolution footage and complex effects. The FP16 performance of 26.73 TFLOPS is beneficial for color grading and effects that use half-precision.

3D Rendering: This is a primary workload for this system. The GPU's 95th percentile ranking, with 48 RT cores for ray tracing and 6144 shading units, will provide excellent performance in GPU-accelerated renderers. The CPU's 14 cores will also contribute to tasks like scene setup and simulation.

Software Development: The CPU is the star here. Its PassMark integer math score of 108124 and data compression score of 371294 are excellent for code compilation, linking, and version control operations. The 20 threads handle parallel builds efficiently, and the ECC memory support ensures data integrity for critical builds.

Student and Office Work: This system is overkill for basic tasks like word processing and spreadsheets. However, for engineering or data science students, the CPU's multi-threaded power for simulations and the GPU's compute capability for machine learning projects make it a versatile and future-proof investment. The 65 W CPU TDP and 300 W PSU recommendation mean the system runs efficiently and quietly in a shared space.