SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900 + 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
95%
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 i9-13900

60,676 Benchmark Score
Top 5% 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

The Intel Core i9-13900 and NVIDIA RTX 5000 Embedded Ada Generation form an unusual pairing: a high-end desktop CPU designed for power efficiency paired with a professional mobile-class GPU. This combination targets a specific niche where raw compute capability meets compact, embedded form factors. The data indicates a desktop-class build with a combined percentile rank of 71, placing it above the majority of systems while leaving headroom for more extreme configurations.

CPU Analysis

The Intel Core i9-13900 is a 24-core, 32-thread processor built on the Raptor Lake architecture and manufactured on Intel's 10 nm process. It operates with a base clock of 2000.00 MHz and a boost clock of 5.60 GHz, drawing a TDP of just 65 W — a notably low figure for a Core i9 part. The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache, which supports the processor's heavy multi-threaded workloads.

The benchmark results position this chip in the 92nd percentile against all CPUs. Its average benchmark score of 60676 places it within 1.1% of the Intel Core i9-14900F, 1% of both the AMD Ryzen 7 8745HX and AMD Ryzen 9 7945HX, and just 0.2% ahead of the Intel Xeon Gold 6338T. This clustering indicates that the i9-13900 sits at the top of a very competitive performance tier, where differences between processors are minimal in aggregate scoring.

Examining specific workloads, the Cinebench R23 multicore score of 37931 demonstrates exceptional rendering capability, while the single-core score of 5355 shows strong per-thread performance. The Geekbench results reinforce this: a multicore score of 21164 and a single-core score of 2604. For data-intensive tasks, the PassMark data compression score of 577285 is a standout figure, while encryption performance at 35242 and extended instructions at 32760 indicate robust security and vectorized processing capabilities. The floating-point math score of 120492 and integer math score of 176107 suggest the processor excels in scientific computing and general arithmetic workloads.

The 65 W TDP is crucial context. This processor achieves near-flagship performance at a power envelope typically associated with mainstream chips. Real-world implications include lower cooling requirements, quieter operation, and reduced electricity costs in always-on workstation scenarios. The unlocked multiplier is false, meaning overclocking is not officially supported, but the boost clock of 5.60 GHz already provides high single-thread speed out of the box.

FAQ

Q: What is the core and thread count of the Intel Core i9-13900?

A: The processor features 24 cores and 32 threads, a configuration that balances high core counts for multi-threaded tasks with hyper-threading for additional parallelism.

Q: How does the i9-13900 compare to its nearest rivals in aggregate performance?

A: The chip's average benchmark score of 60676 places it 0.2% ahead of the Intel Xeon Gold 6338T, 1% ahead of both the AMD Ryzen 7 8745HX and AMD Ryzen 9 7945HX, and 1.1% ahead of the Intel Core i9-14900F.

Q: What is the memory and PCIe support?

A: The i9-13900 supports both DDR4 and DDR5 memory in a dual-channel configuration, with ECC memory support. It provides PCIe Gen 5 with 16 lanes from the CPU.

Q: Does the CPU include integrated graphics?

A: Yes, it includes Intel UHD Graphics 770, which provides basic display output and hardware acceleration without requiring a discrete GPU.

Q: What is the launch MSRP of the processor?

A: The launch MSRP is $549.

Q: What is the production status and release date?

A: The processor is marked as Active in production and was released on January 3, 2023.

Q: How does the CPU perform in single-threaded tasks?

A: The Cinebench R23 single-core score of 5355 and Geekbench single-core score of 2604 indicate strong per-thread performance, suitable for lightly threaded applications like legacy software or certain game engines.

Benchmark Performance

The CPU's benchmark suite shows a processor performing at the 92nd percentile overall. In Cinebench R15, the multicore score of 3823 and single-core score of 539 establish a baseline for older rendering workloads. Moving to R20, the multicore score jumps to 15931 with a single-core score of 2249. The R23 results — 37931 multicore and 5355 single-core — confirm scaling efficiency across these rendering benchmarks, with multicore performance growing proportionally with core counts.

The PassMark suite provides a broader view. The multithread score of 45680 is complemented by a single-thread score of 4309. The find prime numbers test returns a low score of 186, indicating this is not a workload the CPU is optimized for — likely due to the integer-heavy, branch-dependent nature of prime sieving. Conversely, random string sorting at 64396 shows strength in memory-intensive data manipulation tasks.

The GPU has no benchmark scores in the data pack, meaning its performance must be inferred from its specifications. The GPU's percentile rank of 50 with an average benchmark score of 0 indicates that no measured data exists for this component. The combined percentile for the build is 71, suggesting that while the CPU is a top-tier part, the overall system falls short of the highest echelons due to the GPU's unknown but likely mid-range performance profile.

The CPU's nearest rival deltas are tight — within 1.1% — meaning that in real-world use, the i9-13900 is functionally equivalent to the Intel Core i9-14900F and the AMD Ryzen 9 7945HX for most workloads. The 0.2% advantage over the Intel Xeon Gold 6338T is negligible, but the Xeon's server-oriented feature set may make it preferable in specific enterprise environments.

Upgrade Path and Platform

The Intel Core i9-13900 uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in a dual-channel configuration. The memory bus width is dual-channel, and ECC memory is supported, making this a viable option for workstations requiring error-correcting memory for data integrity. The CPU provides PCIe Gen 5 with 16 lanes directly from the processor, enabling high-bandwidth connectivity for modern GPUs and NVMe drives.

The CPU TDP is 65 W, a modest figure that allows for a wide range of cooling solutions — a capable air cooler is sufficient, and most mid-range liquid coolers would be overkill. The GPU has a TDP of 120 W, and the suggested PSU field is null, but the combined thermal load of approximately 185 W for the CPU and GPU cores suggests that a quality 500 W power supply would provide ample headroom, though the exact requirement depends on other system components.

For a sensible next upgrade, the platform supports PCIe Gen 5, so a newer GPU that leverages this interface would be a logical step. However, the GPU in this build uses PCIe 4.0 x16, which remains backward compatible. Memory upgrades are straightforward given DDR4 and DDR5 support, though the motherboard must be chosen accordingly. The CPU's locked multiplier limits overclocking, so upgrades would focus on GPU or memory rather than CPU clock speed.

The CPU's release date of January 3, 2023, and active production status suggest it remains a current product. The GPU's release date of March 20, 2023, and active status similarly indicate ongoing availability. The GPU's predecessor is Ampere-MW and successor is Blackwell-MW, showing NVIDIA's product evolution within the mobile workstation segment.

Who Should Build It

This build targets users who need the CPU's exceptional multi-threaded performance in a desktop form factor while requiring the GPU's professional features. The CPU's 92nd percentile ranking makes it ideal for content creators working with 3D rendering, video encoding, and complex simulations — the Cinebench R23 multicore score of 37931 indicates it can handle long render times with ease.

Software developers compiling large codebases will benefit from the 24 cores and 32 threads, particularly in parallel build systems. The PassMark data compression score of 577285 suggests strong performance in archiving and decompression tasks, useful for developers managing large repositories. Data scientists and researchers running numerical simulations will find the floating-point math score of 120492 valuable for heavy computation.

Students and small business workstations would find this build capable but may consider it overkill unless their workloads are compute-intensive. The 65 W TDP makes it suitable for environments where noise and heat are concerns, such as shared office spaces or small labs. The ECC memory support is a differentiator for those requiring data reliability.

The GPU's professional positioning — the RTX 5000 Embedded Ada Generation — suggests this build is intended for professional visualization, CAD, and AI inference tasks rather than consumer gaming. The 16 GB of VRAM is substantial for large datasets, and the Ada Lovelace architecture supports modern rendering features. However, with no measured GPU benchmarks, users should temper expectations for raw gaming performance.

Gaming Performance

No measured FPS rows exist for this exact combination of Intel Core i9-13900 and NVIDIA RTX 5000 Embedded Ada Generation. The FACT PACK contains no measuredFps data, so all gaming performance figures presented here are estimates derived from the benchmark scores and component specifications.

The CPU's single-core performance — Cinebench R23 single-core score of 5355 and Geekbench single-core score of 2604 — indicates it can drive high frame rates in CPU-bound scenarios. Many modern games rely heavily on single-thread performance for game logic and physics, and this processor's 92nd percentile standing suggests it will not be a bottleneck in most titles.

The GPU's specifications suggest moderate gaming capability. The RTX 5000 Embedded Ada Generation features 16 GB of GDDR6 memory on a 256-bit bus with 576.0 GB/s of bandwidth. Its boost clock of 1680 MHz and 9728 shading units provide a theoretical FP32 performance of 32.69 TFLOPS. Based on these numbers, this GPU should handle 1080p and 1440p gaming at high settings, but 4K gaming at ultra settings would likely strain its capabilities, particularly in VRAM-heavy titles.

The CPU's TDP of 65 W and GPU's TDP of 120 W mean the system has a combined thermal budget of approximately 185 W, leaving considerable headroom for the rest of the system. Gaming performance expectations should be tempered by the GPU's professional orientation — it is designed for stability and driver certification rather than gaming-specific optimizations.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip using the Ada Lovelace architecture, manufactured on TSMC's 5 nm process. It houses 45,900 million transistors on a 379 mm² die, yielding a transistor density of 121.1 million per square millimeter. The GPU has a base clock of 930 MHz and a boost clock of 1680 MHz, with memory running at 2250 MHz for an effective 18 Gbps.

The memory subsystem consists of 16 GB of GDDR6 on a 256-bit bus, providing 576.0 GB/s of bandwidth. This is a substantial amount of VRAM, suited for large textures, complex 3D scenes, and AI model inference. The GPU includes 9728 shading units, 304 TMUs, and 112 ROPs, with 76 RT cores and 304 tensor cores. The pixel rate is 188.2 GPixel/s and the texture rate is 510.7 GTexel/s. The FP32 and FP16 performance are both 32.69 TFLOPS, with FP16 at a 1:1 ratio, indicating strong compute capabilities for both single and half precision workloads.

The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, covering the full range of modern graphics APIs. Its TDP is 120 W, which is low for this performance class, and it uses no power connectors — it draws power from the slot or motherboard. The slot width is IGP, meaning it is an integrated form factor, and display outputs are portable device dependent, reflecting its embedded nature.

The GPU has no benchmark scores in the data pack, so its percentile rank of 50 is based on unspecified criteria rather than measured performance. The lack of nearest rivals further complicates performance assessment. The 16 GB VRAM and 576 GB/s bandwidth suggest it can handle professional rendering workloads, but without benchmark data, the exact performance envelope remains unclear. The tensor cores and RT cores provide hardware acceleration for AI and ray tracing, which are increasingly important in professional visualization.

Build Overview

This build pairs a top-tier desktop CPU with a professional embedded GPU, creating a system that is unusual but purposeful. The build class is desktop, and the combined percentile is 71, indicating that the system outranks most configurations but falls short of the very best. The CPU is clearly the dominant component, with its 92nd percentile ranking driving the overall performance profile.

The Intel Core i9-13900 is a 24-core, 32-thread processor with a 5.60 GHz boost clock and 65 W TDP, making it a high-performance yet power-efficient choice. The NVIDIA RTX 5000 Embedded Ada Generation is a 16 GB GPU with Ada Lovelace architecture, designed for embedded and professional applications rather than consumer gaming. The combination suggests a workstation or specialized compute system where CPU throughput is paramount and GPU acceleration is secondary but present.

The CPU's average benchmark score of 60676 places it among the best available, while the GPU's lack of benchmark data leaves its performance as a question mark. The system's combined percentile of 71 reflects this imbalance — the CPU pulls the score up, but the GPU's unknown performance caps the overall ranking. This is a build that would benefit from a more powerful GPU if the user's workloads require significant graphics or compute acceleration.

Balance and Bottleneck

The balance between CPU and GPU is heavily skewed toward the CPU. The Core i9-13900's 92nd percentile ranking and average benchmark score of 60676 indicate it can handle nearly any computational task thrown at it. The GPU, with its 50th percentile rank and no benchmark scores, is the clear weak link in terms of measured performance.

In CPU-bound workloads — such as software compilation, data compression (PassMark score of 577285), and multi-threaded rendering — the CPU will not be the limiting factor. The 24 cores and 32 threads provide ample parallel processing power, and the 65 W TDP ensures sustained performance without thermal throttling in well-ventilated cases.

In GPU-bound workloads — such as gaming at high resolutions or GPU-accelerated rendering — the RTX 5000 Embedded Ada Generation will likely be the bottleneck. The 16 GB VRAM and 576 GB/s bandwidth are respectable, but the 1680 MHz boost clock and 32.69 TFLOPS FP32 performance are modest compared to top-tier consumer GPUs. The lack of measured FPS data means the exact extent of this bottleneck is unknown, but the GPU's specification suggests it will limit frame rates in demanding titles.

The FPS scaling evidence is absent due to no measuredFps data, so bottleneck analysis relies on the percentile gap. The 42-point difference between the CPU's 92nd percentile and GPU's 50th percentile indicates a significant imbalance. For gaming, this means the CPU will often be idle while the GPU works at full capacity, resulting in lower frame rates than the CPU could theoretically support. For professional workloads, the GPU's tensor cores and RT cores provide acceleration, but the overall compute throughput is limited by the GPU's specifications.

The system's combined percentile of 71, sitting between the CPU's 92 and GPU's 50, reflects a compromise. Users prioritizing CPU-heavy tasks will find this build well-balanced, while those needing GPU performance will find it lacking. A more powerful GPU would improve the system's overall ranking and broaden its applicability to GPU-intensive workloads.