SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900F + NVIDIA RTX 5000 Ada Generation

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

97 / 100
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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
94%
VS
GPU
99%
PROCESSOR

Intel Core i9-13900F

51,730 Benchmark Score
Top 6% Market Ranking
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GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 Benchmark Score
Top 1% Market Ranking
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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.

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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

# Intel Core i9-13900F + NVIDIA RTX 5000 Ada Generation — Benchmark Analysis

This pairing combines Intel's 24-core Raptor Lake desktop flagship with NVIDIA's professional Ada Lovelace workstation GPU, targeting a 95th-percentile combined performance tier. The FACT PACK contains no measured FPS rows for this exact combination, so all frame-rate discussion below is estimated from the CPU and GPU benchmark scores rather than observed gameplay data. The data shows a desktop-class build with the CPU landing at the 91st percentile among all CPUs and the GPU at the 98th percentile among all GPUs, placing the pair firmly in high-end workstation territory.

Gaming Performance

No measured FPS data exists for this specific CPU+GPU combination — the FACT PACK lists zero entries under measuredFpsUltraByGame. All gaming performance estimates derive from the benchmark scores: the GPU's Geekbench Vulkan score of 194041 and OpenCL score of 175286, combined with the CPU's 3DMark single-thread score of 1145 and 3DMark 2-thread score of 2265.

The RTX 5000 Ada Generation's 98th-percentile GPU ranking suggests it can drive modern titles at high settings across resolutions, but the professional nature of this card — with its 32 GB GDDR6 memory and 576.0 GB/s bandwidth — points toward compute-heavy workloads rather than raw gaming optimization. The i9-13900F's single-thread performance (3DMark single-thread: 1145, Geekbench single-core: 2533) indicates strong per-core throughput that typically translates to solid frame pacing in CPU-bound scenarios, while the 3DMark 8-thread score of 7426 and max-thread score of 13985 suggest ample headroom for games that scale beyond a handful of cores.

At 1080p, the CPU's single-core strength becomes the limiting factor in most titles, and the i9-13900F's scores — roughly 0.8% above the Intel Core Ultra 9 285T in average benchmark score — place it among the top-tier gaming CPUs. At 1440p and 4K, the GPU's workload increases, and the RTX 5000 Ada Generation's 65.28 TFLOPS FP32 throughput and 448.8 GPixel/s pixel rate should sustain high frame rates in most titles, though the card's 250 W TDP and workstation orientation suggest it prioritizes accuracy and stability over raw gaming frame output.

The estimated FPS picture is as follows: esports and older titles should run at very high frame rates given the CPU's 3DMark 2-thread score of 2265 and the GPU's 98th-percentile ranking; demanding AAA titles at 1080p and 1440p should remain playable at high settings; 4K gaming is feasible but the card's driver optimization and professional focus mean the experience may differ from consumer GeForce cards. These are estimates only — the FACT PACK contains no measured gaming data for this pairing.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is built on the AD102 chip using TSMC's 5 nm process with 76,300 million transistors on a 609 mm² die. The GPU features 12,800 shading units, 400 TMUs, 176 ROPs, 100 RT cores, and 400 tensor cores — a configuration that explains its 98th-percentile ranking among all GPUs. The memory subsystem consists of 32 GB of GDDR6 on a 256-bit bus, yielding 576.0 GB/s of bandwidth at 2250 MHz (18 Gbps effective), which is substantial for large dataset loading and high-resolution texture work.

Clock speeds are set at a 1155 MHz base and 2550 MHz boost, producing pixel and texture rates of 448.8 GPixel/s and 1,020.0 GTexel/s respectively. The FP32 throughput of 65.28 TFLOPS, with FP16 at an identical 65.28 TFLOPS (1:1 ratio), is a defining characteristic: this card does not halve throughput for half-precision, making it suitable for mixed-precision scientific and AI workloads. The 400 tensor cores and 100 RT cores provide hardware acceleration for deep learning inference and ray-traced rendering, respectively.

In the benchmark results, the GPU scores 175286 in Geekbench OpenCL and 194041 in Geekbench Vulkan, with an average benchmark score of 184664. Its nearest rivals include the NVIDIA A100 SXM4 80 GB (0.5% ahead), the NVIDIA A100 SXM4 40 GB (1.3% ahead), and the NVIDIA RTX PRO 5000 Blackwell (1.4% behind) — meaning the RTX 5000 Ada Generation sits within a tight 2.7-percentage-point band of three of the most powerful accelerators available, including data-center parts. The GeForce RTX 4090 D trails by 3.7%, indicating this workstation card holds its own against the strongest consumer GPU in this benchmark suite.

The GPU's 4x DisplayPort 1.4a outputs and PCIe 4.0 x16 interface position it as a professional visualization card, while its dual-slot design and 267 mm length (10.5 inches) make it physically compatible with most mid-tower and full-tower cases. The 1x 16-pin power connector and 250 W TDP with a 600 W suggested PSU indicate moderate power requirements for this performance class.

Benchmark Performance

The CPU's average benchmark score is 51730, placing it at the 91st percentile among all CPUs. Its nearest rival, the AMD Ryzen 9 5950X, scores 51947, a delta of -0.4% — essentially a statistical tie. The Intel Core Ultra 5 235HX (52073, -0.7%) and AMD EPYC 8124P (52121, -0.7%) are also within 1% of the i9-13900F, while the Intel Core Ultra 9 285T (51310) trails by 0.8%. This cluster of rivals spanning consumer, mobile, and server segments confirms the i9-13900F delivers balanced performance across diverse workloads.

In multi-threaded benchmarks, the CPU achieves 40928 in Cinebench R23 multi-core, 17189 in Cinebench R20 multi-core, and 4125 in Cinebench R15 multi-core. The PassMark multi-thread score of 49693 and Geekbench multi-core score of 19680 further corroborate strong parallel throughput. Single-thread scores are equally telling: Cinebench R23 single-core at 5778, Geekbench single-core at 2533, and PassMark single-thread at 4406. The 3DMark scaling from 2 threads (2265) to 4 threads (4393) to 8 threads (7426) to max threads (13985) shows near-linear scaling up to 8 threads, with diminishing returns beyond that point.

The GPU's average benchmark score of 184664 at the 98th percentile creates a combined picture where the GPU is the stronger component relative to its peer group. The CPU is 91st percentile, the GPU is 98th percentile, and the combined percentile is 95. This means the GPU outperforms a larger fraction of its competitors than the CPU does, suggesting the pairing leans GPU-heavy in balanced workloads — the CPU is strong but the GPU is exceptional.

Balance and Bottleneck

The percentile gap — CPU at 91, GPU at 98 — indicates the RTX 5000 Ada Generation is the more dominant component in this pairing. In compute-heavy workloads such as 3D rendering, simulation, or AI training, the GPU's 65.28 TFLOPS FP32 and 576.0 GB/s bandwidth will likely saturate before the CPU's 24 cores become the constraint. The CPU's Cinebench R23 multi-core score of 40928 is substantial, but the GPU's 98th-percentile ranking suggests it can outpace the CPU's ability to feed it in certain data-parallel tasks.

Conversely, in lightly threaded workloads — such as legacy applications, certain database queries, or single-threaded scripting — the CPU's single-thread scores (Cinebench R23 single-core: 5778, Geekbench single-core: 2533) become the primary driver, and the GPU may sit underutilized. The 3DMark 2-thread score of 2265 and 4-thread score of 4393 show the CPU scales well at low thread counts, but the GPU's massive parallel throughput (12,800 shading units) means it will dominate in any workload that can leverage its cores.

The estimated FPS scaling in gaming follows this pattern: at 1080p, the CPU's single-core performance (3DMark single-thread: 1145) often determines frame rates, and the i9-13900F's 91st-percentile ranking should keep it competitive; at 4K, the GPU's pixel rate of 448.8 GPixel/s and 176 ROPs take over, but the card's workstation focus may produce different optimization than consumer GPUs. The 576.0 GB/s bandwidth is lower than the memory bandwidth of some consumer alternatives, which could impact high-resolution texture streaming in gaming, but the 32 GB capacity ensures no VRAM-related stuttering in any current title.

CPU Analysis

The Intel Core i9-13900F is a 24-core, 32-thread processor based on Raptor Lake architecture on Intel's 10 nm process, with a die size of 257 mm². It operates at a 2000 MHz base clock and 5.60 GHz boost clock, drawing a 65 W TDP — a notably low power envelope for a 24-core part, suggesting efficient binning. The cache hierarchy includes 80 KB L1 per core, 2 MB L2 per core, and 36 MB shared L3, providing substantial on-die storage for working sets.

The CPU supports DDR4 and DDR5 memory in dual-channel configuration, with ECC memory support enabled — a feature typically reserved for workstation and server parts. PCIe Gen 5 with 20 lanes (CPU only) offers high-bandwidth connectivity for modern GPUs and NVMe storage, though the RTX 5000 Ada Generation in this pairing uses PCIe 4.0 x16, which remains compatible. The multiplier is locked, meaning overclocking is not available, but the 5.60 GHz boost clock already pushes high frequencies.

In benchmark results, the CPU excels at multithreaded throughput: PassMark integer math scores 188022, floating-point math 131007, and extended instructions 36525. Data compression (635147 in PassMark) and encryption (38214) scores indicate strong performance for archival and security workloads. The Cinebench R23 multi-core score of 40928 represents top-tier rendering performance, while the single-core score of 5778 ensures snappy responsiveness in everyday tasks and legacy applications. The release date of January 2023 with an active production status means this is a current-generation part with ongoing availability.

The CPU's nearest rivals span different market segments — the AMD Ryzen 9 5950X is a previous-generation enthusiast desktop chip, the Intel Core Ultra 5 235HX is a mobile processor, and the AMD EPYC 8124P is a server part. This spread indicates the i9-13900F delivers compute performance comparable to parts designed for very different thermal and power envelopes, which confirms its 65 W TDP efficiency.

FAQ

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

A: The combined percentile is 95, with the CPU at the 91st percentile among all CPUs and the GPU at the 98th percentile among all GPUs.

Q: How does the CPU compare to its nearest rival, the AMD Ryzen 9 5950X?

A: The i9-13900F has an average benchmark score of 51730 versus the Ryzen 9 5950X's 51947, a delta of -0.4% — essentially a statistical tie.

Q: Does the RTX 5000 Ada Generation support ray tracing and tensor operations?

A: Yes, it has 100 RT cores and 400 tensor cores, providing hardware acceleration for ray-traced rendering and AI/deep learning workloads.

Q: What memory types does the i9-13900F support?

A: The CPU supports DDR4 and DDR5 in dual-channel configuration, and it also supports ECC memory.

Q: How much VRAM does the GPU have, and what is its bandwidth?

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

Q: Is there measured FPS data for gaming on this exact combination?

A: No, the FACT PACK contains no measured FPS rows for this CPU+GPU pairing, so all gaming performance figures are estimates from benchmark scores.

Q: What power supply is suggested for this GPU?

A: The suggested PSU is 600 W, with the GPU drawing a 250 W TDP via a single 16-pin power connector.

Upgrade Path and Platform

The CPU uses Intel Socket 1700, which supports the 13th Gen Core series and is compatible with DDR4 and DDR5 memory. The dual-channel memory controller with ECC support allows for either high-capacity or high-frequency memory configurations, though the exact bandwidth depends on the chosen memory type and speed. The PCIe Gen 5 implementation with 20 CPU lanes provides headroom for future storage and accelerator upgrades, while the GPU's PCIe 4.0 x16 interface remains backward-compatible.

The GPU's suggested PSU of 600 W, combined with the CPU's 65 W TDP, means a 600 W power supply provides adequate headroom for the full system under load, including drives and peripherals. The GPU's dual-slot design and 267 mm length (10.5 inches) fit standard ATX cases, and the 4x DisplayPort 1.4a outputs support multi-monitor workstation setups. The 1x 16-pin power connector is modern and compatible with current ATX 3.0 power supplies.

A sensible next upgrade path would focus on the CPU platform: moving to a newer socket with DDR5 support and PCIe Gen 5 would future-proof the system, though the current pairing already delivers 95th-percentile combined performance. The GPU's 32 GB VRAM is unlikely to become a constraint in the near term, so the CPU and platform would be the primary upgrade targets for users seeking more compute throughput. The i9-13900F's locked multiplier limits overclocking, so users seeking manual tuning would need to consider a K-series part — but the existing 5.60 GHz boost clock already provides high single-thread performance.

Build Overview

This is a desktop-class build combining the Intel Core i9-13900F (24 cores, 32 threads, Raptor Lake architecture) with the NVIDIA RTX 5000 Ada Generation (AD102 chip, Ada Lovelace architecture). The CPU's 91st-percentile ranking and the GPU's 98th-percentile ranking produce a combined 95th percentile, placing this system in the upper echelon of desktop computing.

The CPU's 65 W TDP is remarkable for a 24-core part, suggesting efficient power delivery at the cost of a locked multiplier — no overclocking, but consistent sustained performance. The GPU's 250 W TDP and 600 W suggested PSU make this a moderate-power high-performance build. With 32 GB of VRAM, 576.0 GB/s bandwidth, and 65.28 TFLOPS FP32, the GPU is a compute powerhouse, while the CPU's 40928 Cinebench R23 multi-core score ensures it can keep up in multithreaded workloads.

This pairing occupies a specific niche: it is not a pure gaming rig (the GPU's workstation orientation means consumer gaming drivers and optimizations may differ), nor is it a dual-socket server (the desktop socket and 65 W TDP limit expansion). Instead, it sits at the intersection of high-end desktop compute and professional visualization, suitable for users who need both strong CPU throughput and GPU-accelerated rendering or simulation.

Who Should Build It

Gamers targeting 1440p or 4K resolution with maximum settings will find the GPU's 98th-percentile ranking and 32 GB VRAM sufficient for current and near-future titles, though the estimated FPS figures are projections rather than measured data. Content creators working with 4K or 8K video editing, motion graphics, or color grading will benefit from the GPU's 576.0 GB/s bandwidth and 32 GB capacity for handling large timelines and high-resolution previews.

3D artists and animators using GPU-accelerated renderers (such as those leveraging CUDA or OptiX via the 100 RT cores) will see strong performance from the 65.28 TFLOPS FP32 throughput. Software developers compiling large codebases will leverage the CPU's 24 cores and 32 threads, with PassMark data compression at 635147 and encryption at 38214 indicating fast build and packaging times. Students in computer science or engineering programs running simulation software, machine learning frameworks, or CAD tools will benefit from the ECC memory support and the GPU's tensor cores for AI workloads.

Small business workstations handling data analysis, financial modeling, or scientific computing will appreciate the CPU's 91st-percentile ranking and the GPU's professional driver support, which is optimized for stability and accuracy over consumer gaming performance.

Usage Scenarios

High-refresh gaming: The CPU's 3DMark 2-thread score of 2265 and single-thread score of 1145 indicate strong per-core performance for driving high frame rates at 1080p, while the GPU's 98th-percentile ranking and 448.8 GPixel/s pixel rate should sustain high FPS at 1440p. At 4K, the 32 GB VRAM and 576.0 GB/s bandwidth prevent texture-related bottlenecks, though the card's workstation drivers may yield different results than consumer GeForce parts.

Streaming: The CPU's 24 cores and 32 threads provide ample headroom for simultaneous game encoding and streaming software, with PassMark multithread at 49693 and extended instructions at 36525 supporting real-time encoding workloads. The GPU's NVENC-equivalent capabilities (via its tensor cores) could offload encoding tasks, though the FACT PACK does not specify dedicated encoder hardware.

Video editing: The GPU's 65.28 TFLOPS FP32 and 32 GB VRAM handle 8K timelines and effects-heavy projects, while the CPU's Cinebench R23 multi-core score of 40928 accelerates export rendering. The 576.0 GB/s bandwidth moves large frame buffers efficiently between GPU memory and the display outputs.

3D rendering: The 100 RT cores and 400 tensor cores accelerate ray-traced and AI-denoised renders, and the CPU's 40928 Cinebench R23 multi-core score handles CPU-based renderers. The 32 GB VRAM allows entire scenes to reside in GPU memory, reducing out-of-core streaming.

Software development: The CPU's 24 cores compile large codebases quickly, with PassMark integer math at 188022 and data compression at 635147 speeding up build and packaging steps. The GPU's compute capability enables local testing of CUDA or OpenCL code without needing a separate accelerator.

Student and office work: The CPU's single-thread performance (Geekbench single-core: 2533, PassMark single-thread: 4406) ensures snappy application responsiveness, while the 65 W TDP keeps power costs low. The ECC memory support adds data integrity for long-running analysis scripts or database operations, and the GPU's 4x DisplayPort outputs support multi-monitor productivity setups.