SYSTEM ANALYZER

Rate My PC: Intel Core i5-14501E + 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 i5-14501E

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

CPU Analysis

The Intel Core i5-14501E is a desktop processor from the Core 14th Gen series, built on the Raptor Lake architecture with the Raptor Lake-R codename. It is manufactured on Intel's 10 nm process node with a die size of 215 mm². The chip features 6 physical cores and 12 threads, a configuration that relies on Hyper-Threading to handle concurrent workloads. The base clock is 3.30 GHz, and the boost clock reaches 5.20 GHz, providing a substantial single-thread headroom for lightly threaded tasks.

The cache hierarchy is structured with 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and a shared 24 MB L3 cache. This cache arrangement is designed to keep frequently accessed data close to the cores, reducing latency in compute-heavy tasks. The processor supports both DDR4 and DDR5 memory through a dual-channel memory bus, which gives builders flexibility in platform choice. ECC memory support is present, a feature that adds stability for workstation environments where data integrity is critical.

The CPU uses the Intel Socket 1700 platform and provides PCIe Gen 5 with 16 lanes from the CPU. The integrated UHD Graphics 770 is included, offering a fallback display output for systems without a discrete GPU. The processor has a 65 W TDP, which classifies it as a mainstream power envelope part rather than a high-power enthusiast chip. The multiplier is locked, meaning overclocking via multiplier adjustment is not available. The production status is Active, and the release date is June 30, 2024.

Benchmark data for this specific CPU model shows no individual benchmark scores, and the nearestRivals array is empty. The percentileVsAllCpus is 50, which places this processor at the midpoint of all CPUs in the database. This indicates that the i5-14501E is an average performer in the broader CPU landscape — not a top-tier part, but not a weak one either. The lack of specific rival comparisons means an interpretation must rely on the percentile alone. A 50th percentile ranking suggests that in multi-threaded and single-threaded workloads, the processor will deliver midline performance, adequate for mainstream productivity but not competitive with high-core-count workstation chips.

For real workloads, the 6-core, 12-thread configuration with a 5.20 GHz boost clock is suited for applications that benefit from high clock speeds, such as gaming, spreadsheet manipulation, and light video encoding. The 24 MB L3 cache helps with data-heavy tasks like code compilation or database queries. However, the 65 W TDP and locked multiplier indicate that sustained all-core workloads will be limited by thermal and power constraints compared to unlocked or higher-TDP parts. The lack of benchmark scores for the CPU itself means there is no direct measured evidence of its performance; the percentile is the only quantitative anchor.

Benchmark Performance

The GPU benchmarks provide the primary quantitative performance data for this build. The NVIDIA RTX 5000 Ada Generation scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan. The average benchmark score across these tests is 184,664. These are strong numbers, placing the GPU at the 98th percentile of all GPUs in the database. This means the RTX 5000 Ada outperforms approximately 98% of recorded graphics cards, positioning it firmly in the enthusiast and workstation class.

The combined build percentile is 74, which reflects the pairing of a mid-range CPU (50th percentile) with a top-tier GPU (98th percentile). The combined figure is lower than the GPU's individual percentile due to the CPU's average standing, highlighting a potential imbalance in the system.

Comparing the GPU to its nearest rivals, the RTX 5000 Ada leads the NVIDIA A100 SXM4 80 GB by a slim 0.5% margin in average score. It trails the NVIDIA A100 SXM4 40 GB by 1.3%, indicating near-parity with that datacenter-focused part. Against the NVIDIA RTX PRO 5000 Blackwell, the Ada card is 1.4% ahead, and it beats the NVIDIA GeForce RTX 4090 D by 3.7%. These deltaPct values show that the RTX 5000 Ada Generation sits in a competitive band with some of the most powerful GPUs available, trading places with A100 variants and the newer Blackwell workstation part.

The measured FPS data for this exact CPU+GPU combination is absent from the FACT PACK. There are no measuredFpsUltraByGame rows, and the dataIsMeasured flag is false. Therefore, any discussion of in-game frame rates must be treated as an estimate derived from the benchmark scores, not as measured results. The Geekbench scores suggest that the GPU is capable of very high compute throughput, which translates to strong performance in GPU-bound scenarios, but the CPU's 50th percentile ranking may cap frame rates in CPU-limited situations.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, using the AD102 chip. It is manufactured by TSMC on a 5 nm process node, with 76,300 million transistors on a 609 mm² die. The transistor density is 125.3 million per square millimeter, indicating a dense and modern design. The GPU is part of the Workstation Ada generation, with a predecessor of Workstation Ampere and a successor of Blackwell PRO W.

The memory subsystem is substantial: 32 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s. The memory clock is 2250 MHz, with an effective data rate of 18 Gbps. This large memory pool is critical for rendering large scenes, training machine learning models, or processing high-resolution textures without running out of VRAM. The 256-bit bus width is narrower than some competing high-end parts, but the high effective clock compensates to deliver 576 GB/s, which is sufficient for most workstation tasks.

The compute configuration is robust. The GPU has 12,800 shading units, 400 texture mapping units, and 176 raster output units. It includes 100 RT cores for ray tracing acceleration and 400 tensor cores for AI and deep learning workloads. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s. Raw compute performance is rated at 65.28 TFLOPS for FP32 and 65.28 TFLOPS for FP16 with 1:1 ratio, meaning the card handles single-precision and half-precision workloads at the same rate. This is a strong spec for scientific computing and AI inference.

The GPU has a TDP of 250 W and uses a dual-slot cooling design with a single 16-pin power connector. The suggested power supply is 600 W. The card measures 267 mm in length (10.5 inches) and 112 mm in height (4.4 inches), making it a standard dual-slot size that fits most mid-tower and full-tower cases. It uses a PCIe 4.0 x16 bus interface and has four DisplayPort 1.4a outputs.

The benchmark scores reflect the GPU's raw power. The OpenCL score of 175,286 and Vulkan score of 194,041 indicate strong general-purpose compute and graphics performance. The 98th percentile ranking places it above nearly all consumer and many professional GPUs. In rendering workloads, the 32 GB VRAM allows for massive scenes and high-resolution textures that would exceed the memory capacity of smaller cards. The RT cores accelerate ray-traced rendering in DCC applications, and the tensor cores speed up denoising and AI-based upscaling. The FP32 throughput of 65.28 TFLOPS is particularly relevant for simulation and scientific workloads that rely on single-precision arithmetic.

Who Should Build It

This build targets a specific niche: professionals and advanced enthusiasts who need extreme GPU compute power but do not require a top-tier multi-core CPU. The data shows the GPU at the 98th percentile, while the CPU sits at the 50th percentile. This combination is ideal for users whose primary bottleneck is graphics or compute throughput rather than CPU-bound logic.

The target user is a 3D artist, video editor, or deep learning researcher who works with datasets and scenes that exceed 16 GB of VRAM. The 32 GB memory capacity is the key differentiator, supporting large-batch model training or rendering of high-resolution textures. The 100 RT cores and 400 tensor cores make this build suitable for real-time ray tracing in professional visualization and AI-accelerated workflows.

Gamers at 4K resolution or with high-refresh-rate monitors will benefit from the GPU's 98th percentile performance, but the CPU's 50th percentile may limit frame rates in CPU-heavy titles, as discussed in the gaming section. Content creators using Adobe Premiere or DaVinci Resolve will see strong GPU acceleration for effects and rendering, though timeline scrubbing may be slower due to the CPU's mid-range standing.

Software developers working on code compilation will find the 6-core CPU adequate for most builds, and the ECC memory support adds stability for long-running processes. Students and small business workstations that need a powerful GPU for simulation or data visualization, but do not require high-core-count CPUs, would also find this pairing appropriate. The 65 W TDP of the CPU keeps the system's total power draw manageable, allowing for a smaller power supply than a full workstation build.

Balance and Bottleneck

The balance between the CPU and GPU is asymmetric. The GPU is at the 98th percentile, while the CPU is at the 50th percentile. This creates a scenario where the GPU is rarely the limiting factor in most workloads; instead, the CPU will throttle performance in tasks that are single-threaded or lightly threaded.

In gaming, the CPU's 6 cores and 12 threads at a 5.20 GHz boost clock are sufficient for most titles, but at lower resolutions like 1080p, the CPU may become the bottleneck, preventing the GPU from reaching its full frame rate potential. At higher resolutions like 4K, the GPU workload increases, shifting the bottleneck back toward the GPU, which can better utilize its 98th percentile performance. The FPS scaling evidence is not directly measured, so this is an inference from the percentile gap.

In compute workloads like 3D rendering or machine learning training, the GPU is the dominant performer. The 65.28 TFLOPS FP32 throughput and 32 GB VRAM will handle nearly all rendering tasks without hitting a GPU-side wall. The CPU's role is to feed data to the GPU and manage the scene graph; the 50th percentile CPU may slow down data preparation or physics calculations, but the GPU will still be the primary workhorse.

The combined percentile of 74 reflects this imbalance. A more balanced build might pair this GPU with a higher-percentile CPU to avoid leaving performance on the table in CPU-bound scenarios. However, for GPU-centric workloads, the bottleneck is less critical because the GPU does the heavy lifting. The 65 W TDP CPU also means the system does not require a high-end cooling solution or a massive power supply, which simplifies the build.

Usage Scenarios

High-Refresh Gaming: The GPU's 98th percentile ranking suggests it can drive high frame rates at 1440p and 4K in most titles. The CPU's 50th percentile may cap frame rates in esports titles at 1080p, but for demanding single-player games, the GPU will be the primary driver. Expect smooth gameplay at high settings, though exact FPS is estimated.

Streaming: The GPU's NVENC encoder (implied by the Ada Lovelace architecture and tensor cores) can handle video encoding with minimal CPU overhead. The 6-core CPU has enough headroom for game logic and streaming software simultaneously, though the 50th percentile means multitasking with heavy background apps may cause hiccups. The 32 GB VRAM is overkill for streaming but allows for high-bitrate recording.

Video Editing: The GPU's 65.28 TFLOPS FP32 and 400 tensor cores accelerate effects, color grading, and AI-based tools in editing software. The 32 GB VRAM handles 4K and 8K timelines without proxy issues. The CPU's 12 threads will handle basic editing tasks but may slow down export times compared to higher-core-count parts. The 50th percentile CPU is a clear secondary factor.

3D Rendering: This is the best-case scenario. The GPU's 98th percentile and 32 GB VRAM excel at GPU-based rendering in Blender, Octane, or Redshift. The 100 RT cores accelerate ray tracing, and the 400 tensor cores speed up denoising. The CPU will manage the scene data, but the GPU does the heavy lifting. Expect near-best-in-class render times.

Software Development: The 6-core, 12-thread CPU with a 5.20 GHz boost clock handles code compilation reasonably well for small to medium projects. The 24 MB L3 cache aids in repetitive builds. The ECC memory support adds stability for long-running tests. The GPU is unnecessary for most development but accelerates any parallel workloads like unit testing or data processing.

Student and Office Work: The 50th percentile CPU is more than adequate for word processing, spreadsheets, and web browsing. The integrated UHD Graphics 770 provides a fallback, but the discrete GPU is overkill for these tasks. The system's main draw is GPU compute for coursework in engineering, data science, or 3D design, where the 32 GB VRAM is a significant advantage over typical student laptops.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination in the FACT PACK. The measuredFpsUltraByGame field is empty, and dataIsMeasured is false. Therefore, all gaming frame rates discussed here are estimates derived from the benchmark scores, not measured results.

Based on the GPU's 98th percentile ranking and its Geekbench scores (175,286 OpenCL, 194,041 Vulkan), the RTX 5000 Ada Generation is capable of high frame rates at 1440p and 4K ultra settings in most modern titles. The 32 GB VRAM ensures that texture-heavy games will not run out of memory, even with maxed-out settings and high-resolution texture packs. The 100 RT cores provide solid ray-traced performance in games that support it, though the exact FPS will depend on the title's optimization.

The CPU's 50th percentile ranking suggests a potential bottleneck at 1080p, where frame rates are more CPU-bound. At 4K, the GPU workload dominates, and the CPU's impact is reduced. For competitive shooters at 1080p, the 5.20 GHz boost clock helps, but the 6-core limit may show in heavily threaded titles. For AAA single-player games at 4K, the GPU should deliver smooth gameplay, with frame rates in the 60-100 FPS range depending on the title. These are estimates, not measured data.

FAQ

Q: What is the combined performance percentile of this build?

A: The combined percentile is 74, which represents a system where the GPU (98th percentile) far outperforms the CPU (50th percentile).

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

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

Q: Does this build support ECC memory for the CPU?

A: Yes, the Intel Core i5-14501E supports ECC memory, which provides error correction for stable operation in workstation environments.

Q: What is the memory bandwidth of the RTX 5000 Ada Generation?

A: The GPU has a memory bandwidth of 576.0 GB/s, using 32 GB of GDDR6 memory on a 256-bit bus.

Q: Is there measured gaming FPS data for this specific CPU and GPU combination?

A: No, there is no measured FPS data available for this exact pairing in the FACT PACK, so all gaming frame rates are estimates based on benchmark scores.

Q: What is the TDP of the CPU and GPU in this build?

A: The CPU has a TDP of 65 W, and the GPU has a TDP of 250 W, with a suggested power supply of 600 W for the entire system.

Q: How many RT cores and tensor cores does the GPU have?

A: The RTX 5000 Ada Generation has 100 RT cores for ray tracing and 400 tensor cores for AI and deep learning workloads.

Build Overview

This is a desktop build pairing the Intel Core i5-14501E with the NVIDIA RTX 5000 Ada Generation. The CPU is a 6-core, 12-thread processor from the Core 14th Gen series, based on the Raptor Lake architecture, with a 50th percentile ranking among all CPUs. The GPU is a workstation-class part based on the Ada Lovelace architecture, featuring 32 GB of GDDR6 memory and a 98th percentile ranking among all GPUs.

The combined percentile of 74 places this system in the upper-middle tier of all builds in the database. The GPU's performance is near the top of the chart, rivalling datacenter parts like the NVIDIA A100 SXM4 80 GB (0.5% difference) and the newer RTX PRO 5000 Blackwell (1.4% ahead). The CPU is a mainstream performer, adequate for most tasks but not a high-end workstation chip. The overall tier is a high-performance workstation with a strong GPU focus, suitable for rendering, AI, and compute-heavy tasks, with a CPU that is sufficient but not exceptional.