SYSTEM ANALYZER

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

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

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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97 Score

Top 3% Ranking

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%

GPU

99%

PROCESSOR

Intel Core i9-13900

60,676 Benchmark Score

Top 5% Market Ranking

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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

This pairing combines the Intel Core i9-13900 desktop processor with the NVIDIA RTX 5000 Ada Generation workstation GPU. The CPU is a 24-core Raptor Lake-S part for Socket 1700, and the GPU is an Ada Lovelace workstation accelerator with 32 GB of GDDR6 memory. Benchmark data shows a combined 95th percentile position, indicating a very high overall tier. Note that the FACT PACK contains no measured FPS rows for this exact combination, so every FPS remark inside the gaming section is an estimate derived from benchmark scores, not a measured result.

CPU Analysis

The Intel Core i9-13900 is a 24-core, 32-thread processor built on Intel's Raptor Lake architecture. It uses a 10 nm process from Intel and comes in a desktop market segment. The CPU has a base clock of 2000.00, a boost clock of 5.60, a 65 W TDP, a 257 mm² die, and a 36 MB shared L3 cache. It is a desktop part on the Intel Socket 1700 platform, so it belongs to the 13th Gen Core desktop family.

Thread-heavy scores make the core config look strong. The Cinebench R23 multicore result is 37931, while the single-core result is 5355. That split shows the CPU can still scale extremely well across a large pool of 32 threads while retaining strong performance per thread. The Cinebench R20 multicore and multi-thread scores—15931 and 2249—support the same picture of in a different renderer version. The Geekbench 21164 multicore and 2604 single-core results follow the same pattern. In real workloads, the 24-core / 32-thread layout combines a high thread count with solid single-core speed, which explains why this platform can be used for compile, encode, and simulation jobs without sacrificing interactive responsiveness.

Cache structure is equally relevant. The L1 cache is 80 KB per core, L2 cache is 2 MB per core, and L3 cache is 36 MB shared. This is a large shared cache for contemporary workloads. The CPU also supports two memory families: DDR4 and DDR5. Notably, the memory bus is dual-channel and ECC memory is enabled. Being able to use ECC is a meaningful point for a desktop workstation. The CPU also has UHD Graphics 770 integrated, which allows a simple display output even before a discrete GPU is initialized.

The CPU benchmark average is 60676 and the percentile versus all processors is 92. Its nearest rival in terms of average score is the Intel Xeon Gold 6338T, which generates 60572 average and only 0.2% difference. The AMD Ryzen 7 8744HX is 1.0% behind, AMD Ryzen 9 7945HX is 1.0% behind, and the Intel Core i9-14900F is 1.1% behind. The overall direction is clear: the i9-13900 is central to a very high tier of desktop performance, but in CPU-level tests it is not by itself a class leader. In the data, the CPU is above most processors but still within a narrow bracket of rivals. This is an important nuance for anyone designing a build around a very fast GPU.

Gaming Performance

There is a direct measured FPS for this exact combination, and it simply does not exist to the FACT PACK. WorkloadsAs the pack says, dataIsMeasured is false and measuredFpsUltraByGame is empty. Therefore, all gaming figures here are estimates based on benchmark scores.

The GPU shows high potential in gaming-like workloads: the Geekbench Vulkan score is 194041 and the OpenCL score is 175286. The CPU side also brings strong single-thread performance, with Cinebench R23 single-core score of 5355 and Geekbench single-core score of 2604. A single-thread speed of that order removes many low-framerate cause due to CPU headroom. From the benchmark data, it is likely that this system delivers a smoothly high-refresh experience, especially at standard desktop gaming resolutions. The exact framerates in game cannot be quoted because the pack has no game rows.

However, the GPU is a workstation-orientated product rather than a dedicated consumer gaming chip. The RTX 5000 Ada Generation has 32 GB of VRAM, which is much more than typical gaming GPUs include, and its RT Core and Tensor Core counts are high. It should not be assumed that a 32 GB workstation GPU always matches latency rule in games; it uses driver and GPU adaptive settings, but its raw raster and RT scores are at the top percentile. In the absence of measured game runs, the data says this pairing is well-suited for high-refresh game workloads, but exact outcomes need to be checked per title.

FAQ

Q: What socket does the Intel Core i9-13900 use?

A: The CPU uses Intel socket 1700, which makes platform options depend on matching motherboards for that socket. It is a desktop-class chip for Raptor Lake.

Q: Does the processor support memory and ECC?

A: The i9-13900 supports DDR4 and DDR5 memory in a dual-channel layout. The memory ECC is true, so the CPU reports ECC support.

Q: What is the RTX 5000 Ada Generation's memory specification?

A: The GPU has 32 GB of GDDR6 memory on a 256-bit bus with 576.0 GB/s bandwidth and 18 Gbps effective memory clock.

Q: How does the GPU compare to the A100 SXM4 80 GB in benchmarks?

A: In the average benchmark score, the RTX 5000 Ada Generation scores 184664 that is 0.5% higher than the NVIDIA A100 SXM4 80 GB's 183725. It also sits 0.5% behind the slightly faster A100 40 GB.

Q: What does the 98th percentile GPU mean for compute workloads?

A: A 98th percentile GPU is high than 98% of all GPUs in the database, underlining that this is an extremely high-end GPU for rendering, matrix, and workstation work.

Q: Are FPS numbers available for this exact CPU+GPU combo?

A: No. The approximate data package contains no measured FPS rows for it. Data few FPS statements are estimates derived from CPU and GPU benchmark scores, not direct game logs.

Q: What is the average of the CPU and GPU benchmarks?

A: The CPU average score is 60676 and the GPU average score is 184665. The combined percentile is 95.

Balance and Bottleneck

Looking at the benchmark percentiles, the GPU is at the 98th percentile while the CPU is at the 92nd. That difference is not horizontal, but the GPU tends to be a stronger component in synthetic tests. The GPU has 32 GB of memory, 576 bandwidth, and core speeds that push its aggregate benchmark far above the average; the CPU has 24 cores, 32 threads and a 92nd percentile standing, yet it is a notch lower than the GPU. So in a graphics-heavy scenario, especially with high-texture or ray-tracing loads, the GPU is most likely the factor that sets the frame rate ceiling. In contrast, in a production workload that stresses all 32 threads, the CPU can also become the limiting part if the GPU has headroom.

There is also a platform balance factor. The CPU provides PCIe Gen 5 with 16 lanes from the CPU itself, while the GPU uses a PCIe 4.0 x16 interface. The CPU's PCIe lane support is faster than what this GPU needs. In practical operation, the GPU won't be bandwidth-limited by the CPU's interface. The PSU suggestion is 600 W, while GPU TDP is 250 W and the CPU TDP is 65 W. That leaves a considerable power headroom for system fans, drives, motherboard power, and transient loads, but it does not imply that a low-end PSU is sufficient; the specified 600 W PSU is the number to honor.

Benchmark Performance

Looking at the exact CPU suite, the i9-13900 scores Cinebench R15 multi-core 3823 and single-core 539, Cinebench R20 multi-core 15931 and single-core 2249, Cinebench R23 multi-core 37931 and single-core 5365. Geekbench multi-core 21164 and single-core 2604. Human real-world, PassMark tests are also present: multithread 45680, single-thread 4309, integer mathScore 176107, float math 120712, extended instr. 32760, data encryption 35240, data compression 577285, random string sorting, and prime numbers worked. Those produce an average benchmark score 60676 and CPU percentile 92.

The GPU score is even more outstanding. Geekbench OpenCL is 175286 and Vulkan is 194041, making an average score of 184664 and a GPU percentile of 98. That sits just beside the NVIDIA A100 SXM4 80 GB, within a 0.5% delta. It sits 1.3% behind the A100 SXM4 40 GB; 1.4% ahead of the RTX PRO 5000 Blackwell; and 3.7% ahead of the GeForce RTX 4090 D. From this angle, the combination is not just high-end; the GPU in particular is very near the top endpoint of the benchmark barrel.

The combined percentile is 95, which means that the pairing out-ranks 95% of all builds in the database. Not because a single component is the whole story: the high combined percentile is a function of a powerhouse GPU meeting a strong CPU. Masculine generate a workload that fully feeds the GPU, the system lands in the upper tier.

Usage Scenarios

High-refresh gaming: No measured FPS exist for the pair, but the CPU's 535 Cinebench R23 single-core score and the GPU's 194041 Vulkan score suggest that frame generation is strong. The 32 GB VRAM and bandwidth of 576 GB/s can feed textured geometry with ample margins, making this a high-performance of gaming candidate, though game data still needs specific validation.

Streamers: The 24-core/32-thread CPU and a multithread PassMark score of 45680 mean software can capture, encode, and stream code while leaving CPU threads for game and app. The i9's data compression score of 577288 helps with ingest and encode workloads.

Video editing: The CPU's strong multi-core Cinebench R23 37931 score is exactly good for rendering timelines, and the GPU's 32GB VRAM plus 256Gbps bus will fit large image texture sets and long preview buffers. The platform will accelerate decode/encode through the NVIDIA accelerator.

3D rendering: This is a strong GPU workload. The RTX 5000 Ada Generation achieves FP32 65.28 TFLOPS, has 100 RT cores, 400 tensor cores, and appears in the 98th percentile. 32GB memory removes many occlusion limits for large scenes. CPU multithrent capability supports the necessary pre-compute, crowds, and sim steps.

Software development not: Multi-core integer math CPU score 176107, extended passmark 32760, and 45680 multithread show faster compiling on this type of build. The 32-thread layout allows the compiler run in parallel, while DDR5 support and 36 MB share L3 keep build context hot. Memory ECC also gives stability for long compile passes.

Student and office work: The 65 W TDP is low for a 24-core i9, and the processor integrates UHD 770 graphics. In a daily workflow, students and office users get a responsive desktop system with high core headroom, but the GPU is far beyond the needs of such tasks; it is included here as a workstation feature rather than an office essential.

Who Should Build It

Given the GPU is above 98% of all GPUs, the target demographic is professionals and prosumers designing workstations. Gamers who want an absolute top-tier title at 4K or high-detail ray tracing can reasonably target this if they accept that the 32 GB VRAM is out of line for most games; the benchmark evidence, however, is strong. Content creators will benefit from the 32 GB memory and the 400 Tensor Cores, which can accelerate training, denoising, and GPU-accelerated render passes. For editors who need extreme collab machine, the GPU with Vulkan 194041 and OpenCL 175286 promotes robust render pipeline, while the 65W CPU does not complicate the board or cooling.

Developers and He industry software runs will appreciate the ECC memory support and the CPU's 24-core / 32-thread design with high performance per core. Students chosen with this hardware are strongly restrained to those working in GPU compute, 3D graphics, or large data sets; a mainstream student workflow does the currently a 98th percentile GPU, but the CPU maintains. For small business workstations, the lock, quiet and workstation street credibility of RTX Ada Generation with 32 GB / 64-bit bus is an ind-Star workstation device, but the PSU wire of 600W is suggested. In whatever up, the GPU is not a “budget” component; it is one of the top positions in the database.

Build Overview

The page describes a desktop-class build shared by the Intel Core i9-13900 CPU and the NVIDIA RTX 5000 Ada Generation GPU. The CPU has an Intel 1606 (?) socket 1700, 20-cores, 32-threads, a 65 W TDP, and is intended for the high-end desktop. The GPU is a dual-slot 250 W workstation adapter with PCIe 4.0 and 4x DisplayPort 1.4a. The aggregate percentile of the build is 95th, far above the majority of all combinations. The CPU average benchmark is 60676 and GPU average benchmark is 184665, which places the GPU at 98 overall percentile. On the combined level, the data shows a top-tier desktop with an unmatched GPU, backed by an upper CPU position.

Upgrade Path and Platform

The CPU is locked to Intel Socket 1700. Memory support covers DDR4 and DDR5 in a dual-channel layout; therefore, a motherboard must be chosen for the memory and for the socket. CPU PCIe is Gen 5 with 16 lanes (CPU only), but GPU itself is a PCIe 4.0 x16 device. So the CPU board has enough -- in fact more-- PCIe bandwidth than the GPU would use. Nvidia RTX 5000 Ada uses a 1x 16-pin power connector, is dual-slot, and tasks 267 mm long. Given the suggested PSU of 600 W with the CPU TDP of 65 W and GPU TDP of 250 W, the collection leaves a moderate power budget for the rest of the system without forcing a high-power PSU.

A sensible follows for that Intel Socket 1700 platform depends on which future GPUs are built with the same socket rule. If a GPU with a higher compute or greater VRAM is adopted, the PCIe Gen 4 x16 connection would still suffice, and the CPU (65W) has enough cores/threads to keep up. If a user needs to move to a platform with DDR5, more PCIe lanes, or a different CPU family, each of those will launch during the 1700 generation. The 'All-in-one' direction is to invest in the CPU, which runs 24 / 32 plus ECC memory, and the GPU is already extremely high, so the next upgrade may be the more applications side, not the compute side.

GPU Analysis

The RTX 5000 Ada Generation is built on the Ada Lovelace architecture, manufactured at TSMC 5 nm. It has a 76,300 million transistor count, a 609 mm² die, and a shading core multiplier of 12800 shading units, 400 TMUs, 176 ROPs, 100 RT cores, and 400 tensor cores. This output includes a base clock of 1155 MHz and a boost clock of 2550 MHz, with 32 GB GDDR6. The GPU memory combination of 32 GB GDDR6, 256-bit bus, and 576 GB/s bandwidth works well for large scientific and AI datasets. The pixel fill rate is 448.8 GPixel/s and texture fill rate 1,020 GTexel/s, and the FP32 compute is 65.28 TFLOPS. The FP16/piggy Vec figures show a 1:1 ratio of half-precision throughput, relevant to ML training.

In the benchmark pool, the test results are equally strong: OpenCL 175286 and Vulkan 194041. These figures put the GPU in the 98th percentile

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

Apex Performer

System Balance Analysis

Intel Core i9-13900

NVIDIA RTX 5000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Optimal Performance

4K Gaming Ready

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Gaming Performance

FAQ

Balance and Bottleneck

Benchmark Performance

Usage Scenarios

Who Should Build It

Build Overview

Upgrade Path and Platform

GPU Analysis

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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