SYSTEM ANALYZER

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

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
GPU Bottleneck
CPU
96%
VS
GPU
74%

Your GPU is limiting system performance. Consider upgrading to a more powerful graphics card to better utilize your CPU.

PROCESSOR

Intel Core i9-13900KS

64,051 Benchmark Score
Top 4% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation

0 Benchmark Score
Top 26% 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

GPU 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

# Intel Core i9-13900KS + NVIDIA RTX 5000 Embedded Ada Generation

This pairing combines Intel's flagship 13th Gen desktop processor with NVIDIA's professional mobile-class GPU in a desktop configuration. The Core i9-13900KS delivers exceptional multi-threaded compute with 24 cores and a 6.00 GHz boost clock, while the RTX 5000 Embedded Ada Generation offers workstation-grade graphics in a compact IGP form factor. The data shows a CPU that ranks in the 93rd percentile among all processors, paired with a GPU that sits at the 50th percentile, creating a system with a clear compute-heavy bias. Benchmark results are drawn entirely from synthetic workloads since no measured FPS data exists for this exact combination, so all gaming frame rates discussed later are estimates based on component scores.

Usage Scenarios

High-Refresh Gaming: The CPU's single-thread performance is formidable, with a 3dmark_single_thread score of 1226 and a Cinebench R23 single-core result of 7252 points. These scores place the processor in a position to feed even fast graphics cards in CPU-bound scenarios, but the GPU's 50th percentile standing among all GPUs limits the practical ceiling for extreme refresh rates at demanding settings. For 1080p competitive titles where CPU speed dominates, this system should maintain high frame rates, but the GPU becomes the bottleneck at higher resolutions or with ray tracing enabled.

Streaming: The 24-core, 32-thread configuration provides substantial headroom for simultaneous gaming and encoding workloads. Cinebench R23 multi-core score of 51368 points indicates that x264 encoding at faster presets would consume only a fraction of the available processing power, leaving ample resources for game logic and background tasks. The GPU's 304 tensor cores and Ada Lovelace architecture also support hardware-accelerated encoding, giving streamers flexibility in how they allocate the encoding workload.

Video Editing: Multi-core performance is exceptional for export and rendering tasks. The 211027 integer math score and 154805 floating point math score in Passmark suggest strong performance in codec-heavy workflows like H.264/H.265 encoding and color grading operations. The 16 GB GDDR6 frame buffer on the GPU handles 4K timelines and multi-layer composites comfortably, while the 36 MB shared L3 cache reduces memory latency during scrubbing and preview renders.

3D Rendering: CPU rendering in applications like Blender or V-Ray will leverage all 24 cores effectively, with the 3dmark_max_threads score of 16243 and Cinebench R20 multi-core result of 21574 confirming strong scaling. The GPU's 32.69 TFLOPS FP32 throughput and 76 RT cores provide real-time viewport acceleration and GPU-accelerated rendering paths. For hybrid CPU+GPU rendering pipelines, this system offers balanced compute that excels in scenes with heavy geometry and complex shading.

Software Development: Compilation workloads benefit directly from the high thread count. The Passmark data_compression score of 814838 and data_encryption score of 47772 indicate fast build times for large codebases, while the single-thread performance ensures snappy IDE responsiveness and quick incremental builds. The 89.6 GB/s memory bandwidth supports parallel compilation across multiple translation units without memory starvation.

Student and Office Work: This configuration is substantially overpowered for typical productivity tasks, but the headroom means zero perceptible lag in spreadsheets, document editing, or web browsing. The integrated UHD Graphics 770 provides a fallback display output if the discrete GPU is disabled, and the 150 W CPU TDP with the GPU's 120 W TDP makes this a manageable desktop build for a dorm room or small office environment.

Benchmark Performance

The Core i9-13900KS posts an average benchmark score of 64051, placing it in the 93rd percentile of all CPUs. Its nearest rivals show tight competition: the AMD EPYC 7343 scores 64202 with a delta of -0.2%, the Intel Core Ultra 7 265F scores 64438 with a delta of -0.6%, and the Intel Core Ultra 7 265 scores 64640 with a delta of -0.9%. The Ryzen AI Max PRO 390 trails at 63765 with a delta of 0.4%, meaning the 13900KS actually leads that chip by a small margin. These deltas indicate the 13900KS sits in a crowded field where performance differences are within a single percentage point. In single-thread workloads, the 3dmark_single_thread score of 1226 and Geekbench single-core score of 2771 demonstrate class-leading speed, while the 3dmark_16_threads score of 11616 shows strong scaling up to 16 threads.

The RTX 5000 Embedded Ada Generation, by contrast, holds a 50th percentile position among all GPUs with an average benchmark score of 0 (no synthetic GPU benchmarks are recorded in the data). The GPU's 32.69 TFLOPS FP32 compute and 576.0 GB/s memory bandwidth are respectable figures, but the lack of benchmark scores makes direct comparison impossible. The combined percentile for this CPU+GPU pairing is 72nd overall, reflecting the strong CPU contribution dragging up a mid-pack GPU. The data suggests a system that excels in CPU-bound tasks while the GPU represents the limiting factor for graphics-intensive workloads.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination, so all frame rate figures are estimates derived from the component benchmark scores. The CPU's 3dmark_single_thread score of 1226 and Cinebench R23 single-core result of 7252 indicate it can handle high-refresh gaming at 1080p in esports titles like Counter-Strike 2 or Valorant, where frame rates are typically CPU-limited. Expect 200+ FPS in such titles at competitive settings, though the GPU's 50th percentile standing may cap performance around 144-165 Hz in more demanding AAA shooters.

At 1440p, the GPU becomes the primary constraint. The RTX 5000 Embedded Ada Generation's 16 GB GDDR6 memory and 576.0 GB/s bandwidth can sustain high detail settings, but the 32.69 TFLOPS FP32 compute falls short of top-tier desktop GPUs. Estimated frame rates for modern AAA titles at ultra settings would range from 60-100 FPS depending on the game's optimization. Ray tracing workloads will stress the 76 RT cores, with estimated performance dropping 30-40% when enabling RT effects.

For 4K gaming, this pairing would struggle to maintain 60 FPS in demanding titles at ultra settings. The GPU's 188.2 GPixel/s pixel rate and 112 ROPs provide adequate fill rate, but the overall compute throughput limits resolution scaling. DLSS upscaling would be essential to achieve playable frame rates at 4K, and even then, the 50th percentile GPU class suggests medium-to-high settings rather than maxed-out presets.

Upgrade Path and Platform

The Intel Socket 1700 platform supports both DDR4 and DDR5 memory, giving builders flexibility in choosing memory that fits their budget and performance needs. The dual-channel memory bus delivers 89.6 GB/s of bandwidth, which is adequate for the CPU's 24 cores but could become a bottleneck in memory-intensive workloads if lower-frequency DDR4 is used. PCIe Gen 5 with 20 CPU lanes provides ample bandwidth for current and next-generation graphics cards, while the GPU's PCIe 4.0 x16 interface is fully compatible.

The CPU's 150 W TDP and the GPU's 120 W TDP combine for a total system draw that a capable 650-750 W PSU would handle comfortably. No suggested PSU is listed in the data, but the combined 270 W component TDP leaves substantial headroom for drives, cooling, and motherboard power delivery. The GPU uses no external power connectors, drawing all power from the slot, which simplifies cabling and allows for compact builds. The IGP slot width means this GPU is designed for embedded or small-form-factor systems, so a desktop builder would need to verify chassis compatibility.

A sensible next upgrade would focus on the GPU, as the CPU's 93rd percentile standing leaves significant headroom for a faster graphics card. Swapping the RTX 5000 Embedded Ada Generation for a full-size desktop GPU would immediately boost gaming performance without touching the CPU or platform. Memory upgrades to high-frequency DDR5 would also benefit memory-sensitive workloads, given the dual-channel configuration's bandwidth ceiling.

CPU Analysis

The Intel Core i9-13900KS is a Raptor Lake-S architecture processor built on Intel's 10 nm process with a die size of 257 mm². It packs 24 cores and 32 threads, combining performance and efficiency cores in a hybrid design that balances burst workloads with sustained multi-threaded tasks. The base clock of 3.20 GHz boosts up to 6.00 GHz, which is the highest boost clock among the nearest rivals and contributes to its 93rd percentile ranking. The cache hierarchy includes 80 KB L1 per core, 2 MB L2 per core, and 36 MB of shared L3 cache, providing 89.6 GB/s of memory bandwidth through the dual-channel memory controller.

Benchmark results show a processor that excels in both single and multi-threaded workloads. The Cinebench R23 multi-core score of 51368 is roughly 7 times the single-core score of 7252, indicating strong scaling across the 24 cores. Passmark integer math at 211027 and floating point math at 154805 demonstrate balanced arithmetic capability, while the data_compression score of 814838 suggests efficient memory subsystem utilization. The 3dmark thread scaling from 2 threads (2412) to max threads (16243) shows a 6.7x improvement, which is respectable for a hybrid architecture.

ECC memory support is included, making this CPU suitable for workstation-class builds where data integrity is critical. The integrated UHD Graphics 770 provides display output and basic acceleration, which is useful for troubleshooting or power-saving scenarios. The multiplier is unlocked, allowing overclocking beyond the 6.00 GHz factory boost, though the 150 W TDP will require robust cooling to sustain elevated clocks. The launch MSRP is $699.

FAQ

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

A: The combined percentile is 72nd among all CPU+GPU pairings, reflecting the CPU's 93rd percentile strength and the GPU's 50th percentile position.

Q: How does the CPU compare to its nearest rivals?

A: The Core i9-13900KS scores 64051 on average, slightly behind the AMD EPYC 7343 (64202, -0.2%), Intel Core Ultra 7 265F (64438, -0.6%), and Intel Core Ultra 7 265 (64640, -0.9%), but ahead of the AMD Ryzen AI Max PRO 390 (63765, +0.4%).

Q: Does this system support ECC memory?

A: Yes, the CPU supports ECC memory, which is beneficial for workstation reliability, though memory type depends on the motherboard implementation.

Q: What is the GPU's memory configuration?

A: The RTX 5000 Embedded Ada Generation has 16 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth.

Q: What socket and memory types does the CPU support?

A: The CPU uses Intel Socket 1700 and supports both DDR4 and DDR5 memory in a dual-channel configuration.

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

A: No, the data contains no measured FPS rows for this exact combination; all gaming frame rate figures are estimates from benchmark scores.

Q: What is the GPU's form factor and power requirement?

A: The GPU is an IGP (integrated graphics processor) with a 120 W TDP and no external power connectors, drawing power entirely from the PCIe slot.

Balance and Bottleneck

The performance asymmetry between the CPU and GPU creates a clear bottleneck profile. The CPU's 93rd percentile ranking versus the GPU's 50th percentile means the graphics card is the limiting factor in most GPU-bound workloads like gaming at high resolutions or GPU rendering. In CPU-bound scenarios—such as physics simulation, data compression, or compilation—the CPU will dominate, and the GPU's mid-pack performance becomes irrelevant. The 3dmark thread scores show the CPU scaling efficiently up to 16 threads (11616) and max threads (16243), while the GPU's 32.69 TFLOPS FP32 compute is roughly half that of top-tier desktop GPUs, confirming the imbalance.

For gaming specifically, the bottleneck shifts with resolution. At 1080p, the CPU's strong single-thread performance (1226 in 3dmark single-thread) can push frame rates high, but the GPU may still cap performance in demanding titles. At 1440p and 4K, the GPU becomes the definitive bottleneck, with the CPU likely idling at 50-70% utilization while the GPU runs at maximum. The 16 GB VRAM is sufficient for current titles, but the 576.0 GB/s bandwidth is modest for a 256-bit interface, potentially causing texture streaming hiccups in open-world games.

In productivity workloads, the bottleneck reverses. The CPU's 51368 Cinebench R23 multi-core score will dominate rendering and compilation, while the GPU's compute is underutilized. The 72nd combined percentile reflects this compromise: a system that is exceptional for CPU-bound tasks but merely average for GPU-bound workloads. Builders should identify their primary use case—if GPU-heavy, a different pairing would be more balanced; if CPU-heavy, this configuration maximizes compute performance.

Build Overview

This is a desktop build combining the Intel Core i9-13900KS with the NVIDIA RTX 5000 Embedded Ada Generation. The CPU is a 24-core, 32-thread Raptor Lake-S processor on Intel Socket 1700, manufactured on a 10 nm process, with a 6.00 GHz boost clock and 150 W TDP. The GPU is an Ada Lovelace architecture chip (AD103) with 16 GB GDDR6, 9728 shading units, and 120 W TDP, designed as an IGP for embedded or compact systems. The build class is desktop, and the combined performance percentile is 72nd, placing it above the median but below high-end enthusiast configurations. The CPU's 93rd percentile ranking makes it one of the fastest processors available, while the GPU's 50th percentile position is squarely mid-pack. This pairing creates a system that is compute-heavy, with the CPU providing roughly 4.5 times the benchmark contribution of the GPU in the combined score. The platform supports PCIe Gen 5, DDR4/DDR5 memory, and ECC memory, making it flexible for both consumer and workstation use cases.

Who Should Build It

High-Refresh Gamers at 1080p: The CPU's single-thread performance (1226 in 3dmark single-thread) ensures high frame rates in esports titles, though the GPU may limit maximum FPS in demanding games. This builder would benefit from a GPU upgrade but can enjoy competitive gaming immediately.

Content Creators Prioritizing CPU Rendering: Video editors and 3D artists who rely on CPU-based rendering engines like Blender Cycles or V-Ray will see exceptional performance from the 24-core processor, with the GPU providing adequate real-time viewport acceleration.

Software Developers and Build Engineers: The 32 threads and strong multi-core scores (51368 Cinebench R23) accelerate compilation, testing, and data processing tasks, making this an efficient workstation for large codebases.

Students in Engineering or Data Science: The ECC memory support and high compute throughput suit numerical analysis, simulation, and machine learning coursework, though the GPU's mid-pack performance limits deep learning training speed.

Small Business Workstation Users: For tasks like financial modeling, database processing, or CAD, the CPU's 814838 Passmark data_compression score and 47772 encryption score provide fast transaction processing, while the 16 GB GPU memory handles visualization workloads.

Not Recommended For: Gamers targeting 4K ultra settings or professionals needing top-tier GPU compute. The 50th percentile GPU will bottleneck these workloads, and a more balanced pairing would serve those users better. Users requiring maximum multi-GPU performance should also look elsewhere, as the IGP form factor limits expansion.