SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900F + NVIDIA RTX 5000 Ada Generation

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

97 / 100
ULTIMATE READY

Apex Performer

Top 3% 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
95%
VS
GPU
99%
PROCESSOR

Intel Core i9-14900F

60,008 Benchmark Score
Top 5% 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

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

# Balance and Bottleneck

The Intel Core i9-14900F and NVIDIA RTX 5000 Ada Generation pairing sits in the 95th combined percentile, indicating that neither component is a severe bottleneck for the vast majority of workloads. However, the data reveals distinct workload-dependent behaviors. In CPU-bound scenarios like multi-threaded rendering or data compression, the i9-14900F’s PassMark multi-thread score of 46,532 and data compression score of 564,207 align closely with its nearest rivals, showing a performance delta of just -0.2% against the AMD Ryzen 9 7945HX and -0.9% against the Intel Xeon Gold 6338T. This suggests the CPU can keep pace with GPU demands without throttling overall system throughput.

Conversely, the RTX 5000 Ada Generation operates in a different tier entirely. Its 98th GPU percentile and average benchmark score of 184,664 place it ahead of the CPU’s 92nd CPU percentile, meaning the GPU is the dominant component for graphics-intensive tasks. The bottleneck shifts decisively to the GPU in gaming and 3D rendering workloads, where the CPU’s single-thread performance — a Geekbench single-core score of 2,570 and Cinebench R23 single-core score of 5,583 — is strong enough to feed the GPU without creating a CPU-side bottleneck at high resolutions. The data indicates that at 1080p and 1440p, the GPU’s 65.28 TFLOPS FP32 throughput and 576.0 GB/s memory bandwidth will be the limiting factor, while at 4K, the gap widens further, making the GPU the clear constraint.

For mixed workloads like video editing or software development, the balance is more nuanced. The CPU’s 24 cores and 32 threads, combined with a 36 MB shared L3 cache, handle compilation and encoding tasks efficiently, but the GPU’s 32 GB GDDR6 memory and 400 tensor cores accelerate tasks like AI inference and frame generation. In these scenarios, neither component consistently bottlenecks the other; instead, the system exhibits balanced utilization, with the CPU peaking during code compilation and the GPU taking over during rendering or effects processing. The PassMark physics score of 2,899 suggests adequate CPU performance for simulation tasks, while the GPU’s pixel rate of 448.8 GPixel/s handles rasterization-heavy workloads without straining the CPU.

The single-thread to multi-thread performance ratio further clarifies the bottleneck profile. The CPU’s Cinebench R23 single-core score of 5,583 versus multi-core of 39,551 shows a 7.1x scaling factor, which is typical for a high-core-count desktop part. This means lightly-threaded tasks like web browsing or office applications will be CPU-limited but still performant, while heavily-threaded tasks like 3D rendering will see the GPU become the primary bottleneck. The PassMark integer math score of 177,066 and floating-point math score of 119,550 confirm that the CPU handles general computation well, but the GPU’s 65.28 TFLOPS FP32 output dwarfs the CPU’s capabilities, making the GPU the performance ceiling for compute-heavy graphics workloads.

# Benchmark Performance

The benchmark results for this pairing show a CPU that is competitive with top-tier desktop processors but not class-leading. The Intel Core i9-14900F achieves an average benchmark score of 60,008, placing it in the 92nd percentile of all CPUs. Its closest rival, the AMD Ryzen 9 7945HX, scores 60,099 — a delta of just -0.2%, indicating near-identical performance. The AMD Ryzen 7 8745HX also scores 60,104, again -0.2% relative, while the AMD Ryzen 9 7945HX3D scores 59,641, putting the i9-14900F 0.6% ahead. The Intel Xeon Gold 6338T scores 60,572, making the i9-14900F 0.9% slower. These margins are negligible in real-world terms, meaning the CPU trades blows with its direct competitors across all workloads.

In Cinebench R23, the CPU scores 39,551 multi-core and 5,583 single-core. The multi-core score reflects the 24-core configuration, while the single-core score benefits from the 5.80 GHz boost clock. Geekbench results show 20,008 multi-core and 2,570 single-core, consistent with a high-end desktop part. PassMark tests reveal specialized strengths: data encryption scores 34,644, extended instructions score 31,084, and random string sorting scores 63,728. The floating-point math score of 119,550 and integer math score of 177,066 indicate robust computational throughput for scientific and financial applications.

The RTX 5000 Ada Generation GPU delivers a Geekbench OpenCL score of 175,286 and a Vulkan score of 194,041, with an average benchmark score of 184,664. This places it in the 98th GPU percentile, outperforming the NVIDIA A100 SXM4 80 GB by 0.5% (183,725), the A100 SXM4 40 GB by 1.3% (187,147), and the RTX PRO 5000 Blackwell by 1.4% (182,109). The GeForce RTX 4090 D scores 178,050, making the RTX 5000 Ada 3.7% faster. These results position the GPU as a top-tier workstation part, exceeding even data-center accelerators in synthetic benchmarks.

The combined picture is a system that excels in both CPU and GPU bound tasks, with the 95th combined percentile confirming that this pairing is among the top 5% of desktop configurations. The CPU’s 92nd percentile and GPU’s 98th percentile mean the GPU is the stronger component, but the CPU is not a weak link — it provides sufficient headroom for the GPU to operate at full capacity in most scenarios. The lack of measured FPS data for this exact combination means game performance must be estimated from these benchmark scores, but the raw compute numbers suggest exceptional capability.

# CPU Analysis

The Intel Core i9-14900F is a 24-core, 32-thread desktop processor built on Intel’s Raptor Lake architecture, specifically the Raptor Lake-R refresh. It operates at a base clock of 2.00 GHz and boosts to 5.80 GHz, with a 65 W TDP. The chip is manufactured on Intel’s 10 nm process node, with a die size of 257 mm². It uses the Intel Socket 1700 interface and supports DDR4 or DDR5 memory in a dual-channel configuration, with ECC memory support included. The CPU has 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 36 MB of shared L3 cache, totaling a substantial cache hierarchy for high-bandwidth workloads.

The architecture combines performance and efficiency cores, though the FACT PACK does not specify the exact distribution. The boost clock of 5.80 GHz is among the highest available, driving exceptional single-thread performance — evidenced by the Cinebench R23 single-core score of 5,583 and Geekbench single-core score of 2,570. The PassMark single-thread score of 4,506 confirms that the CPU excels in lightly-threaded tasks like gaming, web browsing, and office productivity. The 65 W TDP is notably low for a 24-core part, suggesting efficient power management, though the FACT PACK does not include actual power draw measurements.

For real workloads, the benchmark scores translate to concrete capabilities. The Cinebench R20 multi-core score of 16,611 and R15 multi-core score of 3,986 indicate strong rendering performance for 3D animation and video encoding. The PassMark data compression score of 564,207 shows exceptional file archiving and database throughput, while the encryption score of 34,644 supports secure data handling. The extended instructions score of 31,084 covers AVX-512 and similar workloads, benefiting scientific computing and AI inference. The find prime numbers score of 209 is low, but this is a niche test. Overall, the CPU is a versatile performer that handles both single-threaded and multi-threaded applications with minimal compromise, though it trails the fastest rivals by less than 1% on average.

The CPU’s production status is Active, with a release date of January 7, 2024. It has a launch MSRP of $524. The multiplier is locked, meaning overclocking is not supported, but the boost clock is already high. The PCIe Gen 5 interface with 16 CPU lanes provides ample bandwidth for modern GPUs and NVMe storage. The lack of integrated graphics means a discrete GPU is mandatory, which is already part of this build. For software development, the 32 threads enable fast compilation, and the 36 MB L3 cache reduces memory latency for large codebases.

# Usage Scenarios

High-Refresh Gaming: The RTX 5000 Ada Generation’s 98th GPU percentile and 65.28 TFLOPS FP32 throughput ensure high frame rates at 1080p and 1440p, while the CPU’s 5.80 GHz boost clock and single-core score of 5,583 prevent CPU bottlenecks. At these resolutions, the GPU’s 576.0 GB/s bandwidth and 32 GB memory handle texture-heavy scenes without stutter. Estimated FPS will be high, though exact figures are unavailable.

Streaming: The CPU’s 24 cores and 32 threads provide dedicated encoding headroom, while the GPU’s 400 tensor cores and NVENC-capable architecture (implied by the Ada Lovelace generation) handle real-time encoding. The PassMark multi-thread score of 46,532 ensures that game encoding and streaming software can run concurrently without impacting frame rates. The 36 MB L3 cache reduces latency for overlays and chat applications.

Video Editing: The Cinebench R23 multi-core score of 39,551 accelerates timeline rendering and export, while the GPU’s 32 GB GDDR6 memory and 576.0 GB/s bandwidth handle 4K and 8K footage. The Geekbench OpenCL score of 175,286 indicates strong GPU acceleration for effects and color grading. The combination supports smooth scrubbing and fast preview renders.

3D Rendering: The GPU’s 100 RT cores and 400 tensor cores accelerate ray tracing and AI denoising, while the CPU’s 24 cores handle scene preparation and physics. The FP32 throughput of 65.28 TFLOPS and pixel rate of 448.8 GPixel/s ensure fast viewport performance. The Cinebench R20 multi-core score of 16,611 indicates the CPU can keep up with GPU rendering workloads.

Software Development: The 32 threads and 36 MB L3 cache enable fast compilation, with the PassMark integer math score of 177,066 handling code processing. The ECC memory support ensures data integrity for long builds. The Geekbench multi-core score of 20,008 covers parallel build tools, and the 5.80 GHz boost clock speeds up single-threaded compilation steps.

Student and Office Work: The CPU’s single-thread score of 4,506 in PassMark handles word processing, spreadsheets, and web browsing effortlessly. The 65 W TDP keeps power consumption low for prolonged use, and the 92nd CPU percentile ensures the system remains responsive. The GPU is overkill for this scenario but provides future-proofing for graphics-heavy electives.

# 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 frame rate discussions are estimates derived from the benchmark scores. The RTX 5000 Ada Generation’s 98th GPU percentile and 65.28 TFLOPS FP32 output indicate it will deliver extremely high frame rates in most titles at 1080p and 1440p ultra settings. The 32 GB GDDR6 memory and 576.0 GB/s bandwidth eliminate VRAM-related stuttering in modern games, even with high-resolution textures.

At 4K, the GPU’s performance will depend on the title. The pixel rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s suggest strong rasterization throughput, while the 100 RT cores provide hardware-accelerated ray tracing. The Geekbench Vulkan score of 194,041 indicates robust API-level performance, which translates to smooth DirectX 12 and Vulkan titles. The CPU’s 5.80 GHz boost clock and single-core score of 5,583 ensure that frame pacing remains consistent, avoiding stutter in CPU-bound scenarios.

For competitive esports titles at 1080p, the system will likely achieve frame rates in the hundreds, limited primarily by the monitor’s refresh rate. The CPU’s PassMark physics score of 2,899 handles game physics without bottlenecking. For AAA titles at 1440p ultra, the GPU will be the limiting factor, but the 98th percentile position means it outperforms 98% of all GPUs, so frame rates will be near the top of the range. At 4K, the system will still deliver playable frame rates, but the GPU’s 65.28 TFLOPS may be challenged by the most demanding titles with maximum settings and ray tracing enabled.

# GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-grade GPU built on the Ada Lovelace architecture, using the AD102 chip manufactured on TSMC’s 5 nm process node. It contains 76,300 million transistors on a 609 mm² die, with a transistor density of 125.3 million per mm². The GPU operates at a base clock of 1155 MHz and boosts to 2550 MHz, with memory clocked at 2250 MHz (18 Gbps effective). It has 32 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth. The shader configuration includes 12,800 shading units, 400 texture mapping units, and 176 raster output units, along with 100 RT cores and 400 tensor cores.

This hardware configuration delivers exceptional compute performance. The FP32 throughput of 65.28 TFLOPS and FP16 throughput of 65.28 TFLOPS (1:1 ratio) enable fast single-precision and half-precision calculations, which benefit scientific simulation, AI training, and data science. The texture rate of 1,020.0 GTexel/s and pixel rate of 448.8 GPixel/s make it a powerhouse for graphics rendering, while the 100 RT cores accelerate ray-traced scenes. The 400 tensor cores support DLSS and AI-based workloads such as image generation and natural language processing.

The memory subsystem is a key strength. The 32 GB GDDR6 capacity is double what most consumer GPUs offer, allowing massive datasets to reside in VRAM without spilling to system memory. The 576.0 GB/s bandwidth ensures that the GPU never starves for data — a critical factor for high-resolution textures and large physics simulations. The PCIe 4.0 x16 interface provides 16 GB/s of bidirectional bandwidth for CPU-GPU communication. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with modern graphics APIs.

The GPU’s benchmark scores confirm its high-end positioning. The Geekbench OpenCL score of 175,286 and Vulkan score of 194,041 place it in the 98th percentile of all GPUs. Its average score of 184,664 is 0.5% higher than the NVIDIA A100 SXM4 80 GB and 1.4% higher than the RTX PRO 5000 Blackwell, showing it competes with data-center accelerators. The nearest rival, the GeForce RTX 4090 D, trails by 3.7%. This GPU is designed for professional workloads — the 4x DisplayPort 1.4a outputs, dual-slot form factor, and 600 W suggested PSU indicate it targets workstation users, not gamers. The TDP of 250 W is modest for the performance level, suggesting excellent efficiency from the 5 nm process.

# Who Should Build It

This CPU+GPU pairing is ideal for professionals who need top-tier performance in both compute and graphics tasks. Content creators working with 4K or 8K video will benefit from the GPU’s 32 GB VRAM and the CPU’s 24 cores for rendering and effects. 3D artists and animators will leverage the 100 RT cores for real-time ray tracing and the 400 tensor cores for AI denoising, while the CPU handles scene assembly. Data scientists and researchers will find the 65.28 TFLOPS FP32 throughput and ECC memory support (on the CPU) valuable for large-scale simulations and model training.

Software developers compiling large codebases will appreciate the 32 threads and 36 MB L3 cache, which reduce build times. The PCIe Gen 5 interface supports fast NVMe storage for quick file access. Students in engineering or computer science fields will benefit from the system’s versatility — it handles everything from office productivity to complex simulation software. Small business users running virtual machines or database workloads will see strong performance from the PassMark multi-thread score of 46,532 and data encryption score of 34,644.

Gamers seeking maximum frame rates at 1440p or 4K will not be disappointed, though the GPU’s workstation focus means it lacks some consumer-specific features. The 32 GB VRAM provides future-proofing for upcoming titles, and the CPU’s high boost clock ensures responsive gameplay. However, this build is overkill for casual gaming or office work — the 65 W TDP CPU and 250 W GPU are efficient, but the cost of the components suggests it is best suited for users who will fully utilize the computational capabilities. The 95th combined percentile confirms that this is a top-tier system, ideal for users who demand the best performance in their respective fields.

# Build Overview

This build pairs the Intel Core i9-14900F, a 24-core desktop CPU from the Core 14th Gen series, with the NVIDIA RTX 5000 Ada Generation, a workstation GPU based on Ada Lovelace architecture. The build class is desktop, indicating a stationary system designed for high-performance tasks. The CPU sits in the 92nd percentile of all CPUs, while the GPU occupies the 98th percentile, resulting in a combined percentile of 95. This places the system in the top 5% of desktop configurations, suitable for demanding professional and enthusiast workloads.

The CPU’s 24 cores and 32 threads, combined with a 5.80 GHz boost clock, provide exceptional multi-threaded and single-threaded performance. The GPU’s 32 GB GDDR6 memory, 65.28 TFLOPS FP32 output, and 100 RT cores make it a top-tier workstation part. Together, they form a balanced system where the GPU is the stronger component but the CPU provides ample support. The overall tier is high-end, with benchmark scores confirming that this pairing outperforms 95% of all desktop builds. The lack of measured FPS data means gaming performance is estimated, but the raw compute numbers suggest exceptional capability across all application types.

# FAQ

Q: What is the combined performance percentile of this CPU+GPU pairing?

A: The combined percentile is 95, meaning this build outperforms 95% of all desktop configurations.

Q: How does the Intel Core i9-14900F compare to its nearest rival, the AMD Ryzen 9 7945HX?

A: The i9-14900F has an average benchmark score of 60,008, which is 0.2% lower than the Ryzen 9 7945HX’s score of 60,099.

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

A: The RTX 5000 Ada Generation has 32 GB of GDDR6 memory with a 256-bit bus, providing 576.0 GB/s of bandwidth.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-14900F supports ECC memory, which is important for data integrity in professional workloads.

Q: What is the GPU’s FP32 performance in TFLOPS?

A: The GPU delivers 65.28 TFLOPS of FP32 performance, which is also the FP16 performance (1:1 ratio).

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

A: The GPU has 100 RT cores for ray tracing and 400 tensor cores for AI acceleration.

Q: What is the CPU’s boost clock speed?

A: The Intel Core i9-14900F boosts to 5.80 GHz from a base clock of 2.00 GHz.