SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900 + 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 i9-14900

58,115 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
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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

# Hardware Analysis: Intel Core i9-14900 + NVIDIA RTX 5000 Ada Generation

This desktop build pairs Intel's 24-core Core i9-14900 with NVIDIA's workstation-class RTX 5000 Ada Generation GPU, creating a system that ranks in the 95th combined percentile across all tracked hardware. The CPU's average benchmark score of 58115 places it in the 92nd percentile among all CPUs, while the GPU's average score of 184664 puts it in the 98th percentile among all GPUs. This is a serious compute platform, not a casual gaming rig, though it will handle gaming at high resolutions with authority.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 5000 Ada Generation is built on the AD102 chip using TSMC's 5 nm process, packing 76,300 million transistors on a 609 mm² die. This is Ada Lovelace architecture at workstation scale, with 12,800 shading units, 400 texture mapping units, and 176 raster output units. The GPU operates at a base clock of 1155 MHz and boosts to 2550 MHz, delivering 65.28 TFLOPS of FP32 compute and an identical 65.28 TFLOPS of FP16 performance at a 1:1 ratio.

Memory configuration is substantial: 32 GB of GDDR6 on a 256-bit bus, running at 2250 MHz with 18 Gbps effective speed, producing 576.0 GB/s of bandwidth. That 32 GB frame buffer is the defining feature for professional workloads — it allows large 3D scenes, high-resolution textures, and multi-application GPU compute tasks to reside entirely in VRAM without spilling to system memory. The 256-bit bus width is narrower than some flagship gaming cards, but the high memory clock compensates, and workstation software rarely saturates bandwidth the way gaming does at lower resolutions.

Ray tracing hardware includes 100 RT cores, and the tensor core count is 400, which means AI-accelerated features like DLSS, OptiX denoising, and machine learning inference are handled by dedicated silicon rather than burdening the shader array. The pixel rate of 448.8 GPixel/s and texture rate of 1,020.0 GTexel/s indicate strong fill-rate performance for high-resolution rendering and post-processing effects. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, covering the full modern API stack.

In the benchmark data, the RTX 5000 Ada scores 175286 in Geekbench OpenCL and 194041 in Geekbench Vulkan. The average benchmark score of 184664 places it in the 98th percentile of all GPUs. Compared to its nearest rivals, it sits 0.5% above the NVIDIA A100 SXM4 80 GB, 1.3% below the A100 SXM4 40 GB, 1.4% above the RTX PRO 5000 Blackwell, and 3.7% above the GeForce RTX 4090 D. The deltaPct values show this card is trading blows with data-center accelerators, which is exceptional for a dual-slot workstation card that fits in a standard desktop chassis. The 250 W TDP with a suggested 600 W PSU is modest for the performance level, and the 1x 16-pin power connector is a single, clean connection. The dual-slot form factor at 267 mm length and 112 mm height means it will fit in most mid-tower cases, though the 4x DisplayPort 1.4a outputs are clearly aimed at multi-monitor professional setups rather than consumer display connectivity.

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work

High-refresh gaming: The GPU's 98th percentile standing and the CPU's 92nd percentile position indicate a system capable of driving high-refresh monitors at 1440p and 4K. The 65.28 TFLOPS FP32 throughput handles heavy pixel workloads, and the 32 GB VRAM eliminates texture streaming bottlenecks in modern titles. Estimated FPS figures will be high, but without measured data for this exact pair, treat all gaming numbers as projections.

Streaming: The 400 tensor cores provide dedicated hardware for AI-based encoding and enhancement features, while the CPU's 24 cores and 32 threads handle the encoding workload itself without stealing frames from the GPU. The i9-14900 scores 44578 in Passmark multithread, which is ample headroom for simultaneous game capture, encoding, and chat applications.

Video editing: The combination of 32 GB VRAM and the GPU's 175286 OpenCL score means timeline scrubbing, effect rendering, and color grading in tools like DaVinci Resolve or Premiere Pro will leverage GPU acceleration heavily. The CPU's 15910 Cinebench R20 multicore score and 31070 Cinebench R23 multicore score provide strong CPU-side encoding and export performance, with the 120262 Passmark floating-point score indicating robust number crunching for video filters and transforms.

3D rendering: The RTX 5000 Ada is a workstation card first, and the 100 RT cores accelerate ray-traced renders in Blender, Maya, and Octane. The 194041 Vulkan score shows the GPU handles real-time viewport rendering efficiently. For CPU-based rendering, the i9-14900's 31070 Cinebench R23 multicore score is competitive with workstation Xeons, landing just 0.7% below the Intel Xeon w5-2545 and 0.4% below the Xeon Platinum 8260M in average benchmark score.

Software development: The 175010 Passmark integer math score and 33540 Passmark data encryption score indicate fast compilation and secure data handling. The 550271 Passmark data compression score is exceptional, making large codebase checkouts and binary packaging quick. The 32 threads allow parallel builds across many translation units, and ECC memory support (a feature of the CPU) adds stability for long-running build servers.

Student and office work: This is overkill for document processing, but the 4323 Passmark single-thread score ensures snappy UI responsiveness and fast spreadsheet recalculation. The 2488 Geekbench single-core score and 2212 Cinebench R23 single-core score are strong, so everyday tasks will never feel sluggish. Students in engineering or data science will appreciate the 32 GB VRAM for machine learning assignments and the CPU's 18495 Geekbench multicore score for MATLAB or simulation workloads.

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The Intel Core i9-14900 is a Raptor Lake-R part built on Intel's 10 nm process, with a die size of 257 mm². It features 24 cores and 32 threads, combining performance and efficiency cores in Intel's hybrid architecture. The base clock is 2.00 GHz with a boost clock of 5.80 GHz, and the 65 W TDP is notably modest for a 24-core part, indicating tight power management rather than unrestricted boost behavior. The multiplier is locked, so overclocking is not available, but the stock boost clock of 5.80 GHz is already near the top of what air or liquid cooling can handle.

Cache hierarchy is extensive: 80 KB L1 per core, 2 MB L2 per core, and 36 MB of shared L3 cache. This large L3 pool benefits workloads with shared data structures, such as database queries and physics simulations. The CPU supports both DDR4 and DDR5 memory in dual-channel configuration, which gives builders flexibility in platform cost and performance. ECC memory support is enabled, a feature that appeals to workstation users who need error correction in long compute jobs. The PCIe Gen 5 interface with 16 CPU lanes provides high-bandwidth connectivity for modern SSDs and GPUs, though the RTX 5000 Ada uses PCIe 4.0 x16, so there is headroom for future devices.

Benchmark results show a well-rounded performer. The Cinebench R23 multicore score of 31070 is strong for a 65 W part, and the single-core score of 2212 demonstrates the 5.80 GHz boost clock delivers real single-thread performance. The Geekbench scores of 18495 multicore and 2488 single-core are competitive with current-generation workstation parts. Passmark results are varied: integer math at 175010 and floating-point math at 120262 show balanced ALU and FPU performance, while the 188 find-prime-numbers score is low but reflects the efficiency-core scheduling on that particular test. The 44578 multithread score and 2486 physics score indicate solid overall throughput for CPU-bound tasks.

The CPU's average benchmark score of 58115 places it in the 92nd percentile of all CPUs. Compared to nearest rivals, it sits 0.4% below the Intel Xeon Platinum 8260M, 0.5% below the AMD Ryzen 7 9850X3D, 0.7% below the Intel Xeon w5-2545, and 1.0% above the AMD EPYC 9015. The deltaPct values here are all within 1%, meaning this desktop CPU is effectively matching server-class silicon in aggregate benchmark performance. The 24-core, 32-thread configuration is the key: it provides the thread count of a workstation processor while maintaining the high single-core clock of a desktop part.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The combined percentile of 95 indicates a well-matched pair where neither component dramatically outclasses the other in aggregate performance. However, workload-specific bottlenecks do exist. The GPU's 98th percentile versus the CPU's 92nd percentile means the CPU is the relative weak point in GPU-accelerated tasks — in gaming at 1080p or 1440p, the CPU could limit frame rates before the GPU reaches its ceiling, particularly in CPU-heavy titles with many NPCs or physics objects. The CPU's 4793 Cinebench R15 multicore score and 315 single-core score from that older test suggest the efficiency cores do heavy lifting in multithreaded scenarios, which helps overall throughput but not single-thread responsiveness.

For rendering and compute workloads, the GPU is the dominant factor. The 65.28 TFLOPS FP32 throughput and 32 GB VRAM far exceed what the CPU can feed in raw compute, meaning the CPU will be waiting on GPU operations in render passes. The i9-14900's 31070 Cinebench R23 multicore score is strong, but it cannot match the GPU's parallel processing capability for pixel or ray workloads. The bottleneck in CPU-based rendering is the CPU itself — a 24-core part is fast, but render farms still prefer higher core counts.

Memory bandwidth is a potential bottleneck in both directions. The GPU's 576.0 GB/s bandwidth is substantial but not exceptional for a workstation card, and the CPU's dual-channel memory bus (with no specific bandwidth figure in the data) will limit how fast data moves between RAM and CPU caches. For workloads that stream large datasets through both CPU and GPU, the system memory bandwidth will be the constraining factor. The CPU's 36 MB L3 cache mitigates this by caching frequently accessed data, and the GPU's 32 GB VRAM holds large working sets, so the practical impact is limited to dataset sizes that exceed both.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame

No measured FPS rows exist for this exact combination of Intel Core i9-14900 and NVIDIA RTX 5000 Ada Generation. The FACT PACK contains no measuredFps data for this pair, so all gaming performance figures below are estimates derived from the benchmark scores and relative positioning against rivals. The GPU's 98th percentile rank and the CPU's 92nd percentile rank suggest a system that will deliver high frame rates at 1440p and 4K resolutions, with the 32 GB VRAM ensuring texture quality is never compromised.

At 1080p, the CPU's 5.80 GHz boost clock and 4323 Passmark single-thread score will drive high FPS in esports titles, but the GPU's workstation orientation means it is not optimized for the low-latency, high-FPS gaming that consumer cards prioritize. Expect very high frame rates but not the absolute maximum possible from a dedicated gaming GPU. At 1440p, the balance shifts to the GPU, and the 65.28 TFLOPS compute capacity will handle most titles at maximum settings with frame rates well above 60 FPS. At 4K, the GPU becomes the primary driver, and the 32 GB VRAM prevents any texture-related stuttering. The 448.8 GPixel/s pixel rate supports 4K rendering without fill-rate bottlenecks.

The RTX 5000 Ada's Vulkan score of 194041 and OpenCL score of 175286 are strong indicators of real-world gaming performance, as modern game engines use these APIs heavily. The 100 RT cores will deliver ray-traced effects at playable frame rates, and the 400 tensor cores enable DLSS upscaling to boost performance further in supported titles. Without measured FPS data, treat these as directional estimates: the system is capable of high-refresh gaming at 1440p and solid 60+ FPS at 4K, but exact numbers will vary by game and driver optimization.

Who Should Build It — target users and industries tied strictly to the measured performance

This build targets professionals who need workstation-class GPU compute without moving to a full server platform. The 32 GB VRAM and 98th percentile GPU rank make it suitable for 3D artists working with large scenes, video editors handling 8K or multilayer timelines, and AI researchers training or inferencing models that exceed 16 GB of memory. The CPU's 92nd percentile rank and 24 cores handle compilation, simulation, and CPU rendering tasks competently.

Gamers at 4K resolution are a secondary audience — the GPU's performance is high enough for ultra settings, and the 32 GB VRAM future-proofs against next-generation texture packs. However, the workstation-oriented drivers and display outputs (4x DisplayPort 1.4a) are not optimized for consumer gaming features like HDMI 2.1 or G-Sync on TVs, so this is better suited to a monitor-based setup. Content creators who stream while gaming will benefit from the 32 threads for encoding and the 400 tensor cores for AI-enhanced streaming features.

Software developers working on large codebases will appreciate the 175010 Passmark integer math score and 550271 data compression score for fast builds and package management. The ECC memory support adds reliability for long-running test suites. Students in engineering, data science, or computer graphics programs will find the combination of 24 CPU cores and 32 GB GPU memory sufficient for coursework and research projects, though the cost of the platform is beyond typical student budgets. Small business workstations for CAD, architectural visualization, or video production will perform admirably, with the 4x DisplayPort outputs supporting multi-monitor layouts for productivity.

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The CPU's average benchmark score is 58115, placing it in the 92nd percentile of all CPUs. Its nearest rivals are close: the Intel Xeon Platinum 8260M scores 58323 (0.4% higher), the AMD Ryzen 7 9850X3D scores 58386 (0.5% higher), the Intel Xeon w5-2545 scores 58504 (0.7% higher), and the AMD EPYC 9015 scores 57555 (1.0% lower). This is a tight cluster, meaning the i9-14900 is statistically equivalent to these server and workstation parts in aggregate performance.

The GPU's average benchmark score is 184664, placing it in the 98th percentile of all GPUs. Its nearest rivals are the NVIDIA A100 SXM4 80 GB at 183725 (0.5% lower), the A100 SXM4 40 GB at 187147 (1.3% higher), the RTX PRO 5000 Blackwell at 182109 (1.4% lower), and the GeForce RTX 4090 D at 178050 (3.7% lower). The GPU is competitive with data-center accelerators, which is remarkable for a dual-slot desktop card.

The combined percentile of 95 reflects the system's overall position. The CPU is a high-end desktop part that matches workstation Xeons, while the GPU is a top-tier workstation card that exceeds most consumer GPUs. The pair is well balanced for compute-heavy workloads, though the GPU's 98th percentile versus the CPU's 92nd percentile means the CPU will be the limiting factor in GPU-bound tasks. The CPU's individual benchmark scores — 31070 Cinebench R23 multicore, 2212 single-core, 18495 Geekbench multicore, 44578 Passmark multithread — show a strong all-rounder. The GPU's 175286 OpenCL and 194041 Vulkan scores confirm its compute capability. Together, this is a top 5% system by combined performance, suitable for professional workloads and high-end gaming.

FAQ

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

A: The combined percentile is 95, meaning this system outperforms 95% of tracked desktop configurations. The CPU sits in the 92nd percentile, and the GPU sits in the 98th percentile.

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

A: The RTX 5000 Ada scores 184664 on average, which is 0.5% higher than the A100 SXM4 80 GB's 183725. The two are statistically equivalent in aggregate benchmark performance.

Q: Does the Intel Core i9-14900 support ECC memory?

A: Yes, the i9-14900 supports ECC memory. This is notable for a desktop CPU and beneficial for workstation reliability in long compute jobs.

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

A: The GPU has 32 GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s. The memory runs at 2250 MHz with 18 Gbps effective speed.

Q: What is the launch MSRP of the Intel Core i9-14900?

A: The launch MSRP is $549. The RTX 5000 Ada Generation has no launch MSRP listed in the data.

Q: Are there measured FPS figures for this exact CPU and GPU combination?

A: No, the FACT PACK contains no measuredFps data for this combination. All gaming performance figures are estimates derived from benchmark scores and percentile rankings.

Q: How does the i9-14900 compare to the AMD Ryzen 7 9850X3D in average benchmark score?

A: The i9-14900 scores 58115 on average, which is 0.5% lower than the Ryzen 7 9850X3D's 58386. The difference is minimal and within statistical noise.

Upgrade Path and Platform

The Intel Core i9-14900 uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in dual-channel configuration. This means builders can choose between more affordable DDR4 or higher-performance DDR5, though the memory bandwidth figures are not listed in the data. The CPU supports PCIe Gen 5 with 16 lanes, providing ample bandwidth for current and next-generation storage and accelerators. The 65 W TDP is low for a 24-core part, which means the platform does not require extreme cooling or high-end motherboards for power delivery, though the 5.80 GHz boost clock will still demand a capable air cooler or liquid cooler in sustained workloads.

The RTX 5000 Ada Generation uses the PCIe 4.0 x16 interface, which is backward-compatible with the CPU's PCIe Gen 5 slots. The GPU's 250 W TDP with a suggested 600 W PSU leaves headroom in most desktop power supplies — a 750 W or 850 W unit is ample, and the 1x 16-pin power connector is standard on modern PSUs. The dual-slot design at 267 mm length fits most mid-tower cases, but check case clearance for the 112 mm height.

A sensible next upgrade path depends on workload. For CPU-bound tasks, the Socket 1700 platform is at the end of its generation with the Core 14th Gen series, so a future upgrade would require a motherboard change to a newer socket. For GPU-bound tasks, the RTX 5000 Ada is already near the top of the workstation stack — the data shows it trades blows with the A100 SXM4, so an upgrade would only be justified by specific software needs (e.g., the successor Blackwell PRO W) rather than raw performance. The 32 GB VRAM is unlikely to become a bottleneck for several years, and the 576.0 GB/s bandwidth is sufficient for most professional workloads. The platform's DDR5 support and PCIe Gen 5 capability ensure it can accept future storage and peripheral upgrades without rebuild.