SYSTEM ANALYZER

Rate My PC: Intel Core i7-13800H + NVIDIA GeForce RTX 4090 Mobile

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

93 / 100
ULTIMATE READY

Apex Performer

Top 7% 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
91%
VS
GPU
96%
PROCESSOR

Intel Core i7-13800H

34,988 Benchmark Score
Top 9% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4090 Mobile

43,667 Benchmark Score
Top 4% 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

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

The Intel Core i7-13800H and NVIDIA GeForce RTX 4090 Mobile pairing represents a high-end mobile configuration designed for demanding workloads. This analysis draws exclusively on benchmark data to assess its capabilities, positioning it against its nearest rivals and contextualizing its performance for specific tasks. The data indicates a system that sits in the 84th percentile for both its CPU and GPU components, suggesting a balanced, high-performance platform.

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

The NVIDIA GeForce RTX 4090 Mobile is a flagship mobile GPU based on the Ada Lovelace architecture, built on TSMC's 5 nm process. The chip, designated AD103, contains a substantial 45,900 million transistors on a 379 mm² die. The GPU is equipped with a large 16 GB frame buffer of GDDR6 memory, which is a significant asset for high-resolution textures and complex 3D scenes. The memory operates across a 256-bit bus, delivering a bandwidth of 576.0 GB/s. This memory configuration is well-suited for the demands of modern rendering and AI workloads.

Clocks are set at a base of 1335 MHz with a boost of 1695 MHz, while the memory runs at an effective speed of 18 Gbps. The architecture includes 9728 shading units, 304 texture mapping units, and 112 raster output units. For ray tracing and AI acceleration, the GPU is equipped with 76 dedicated RT cores and 304 tensor cores. The raw compute throughput is rated at 32.98 TFLOPS for FP32 operations, with a matching 32.98 TFLOPS for FP16, indicating strong performance for both traditional graphics and compute tasks. Pixel and texture fill rates are listed at 189.8 GPixel/s and 515.3 GTexel/s, respectively.

In synthetic benchmarks, the RTX 4090 Mobile demonstrates its capability. It scores 180831 in Geekbench OpenCL and 170774 in Vulkan, showing strong general compute performance. In the Passmark suite, it achieves a G3D score of 27212 and a GPU compute score of 12347. Its average benchmark score is 43667, placing it in the 84th percentile of all GPUs. The data shows it is a direct competitor to the NVIDIA RTX A6000, with a deltaPct of -0.9, meaning the RTX 4090 Mobile is slightly ahead. Conversely, it leads the NVIDIA Quadro M6000 by a margin of 0.8 percent. These results indicate that for rendering tasks, the GPU provides exceptional compute and rasterization power, making it suitable for high-fidelity rendering, video encoding, and GPU-accelerated effects.

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work. One short paragraph per scenario, citing the numbers that support the verdict

For high-refresh gaming, the combination of the RTX 4090 Mobile's 84th percentile GPU score and the i7-13800H's strong single-core performance (Cinebench R23 single-core score of 2591) positions this system to deliver very high frame rates. The GPU's 16 GB VRAM and high bandwidth (576.0 GB/s) are sufficient for modern titles at high settings, though exact FPS figures are estimates as no measured data exists for this pair.

Streaming benefits from the dedicated NVENC encoder on the RTX 4090 Mobile, which offloads the encoding workload. The CPU's 20 threads provide ample headroom for maintaining stream stability while gaming, supported by its multi-threaded Passmark score of 26545. The system can handle the simultaneous load of a game and encoding software without significant performance degradation.

Video editing is a strong suit for this configuration. The GPU's high compute scores (180831 OpenCL) accelerate effects and rendering, while the CPU's Cinebench R23 multi-core score of 18358 ensures smooth timeline scrubbing and export. The 16 GB of VRAM can hold large project files and preview caches, reducing the need for constant data swapping. This combination is well-suited for 4K or even 8K timelines with heavy color grading and effects.

3D rendering workloads, such as those in Blender or Maya, will leverage both components heavily. The CPU's 14 cores and 20 threads provide a solid foundation for physics and simulation, while the GPU's 32.98 TFLOPS FP32 compute and 76 RT cores accelerate final frame rendering and real-time viewport previews. The benchmark scores suggest this is a professional-level rendering machine.

Software development benefits from the CPU's high single-thread performance (Cinebench R23 single-core score of 2591) for compilation and code analysis. The multi-threaded performance (1850 in Cinebench R15 multi-core) helps with parallel builds. The large system memory bandwidth and fast storage options supported by the platform ensure quick load times for large projects.

For student and office work, this configuration is vastly overqualified. The high performance ensures that any productivity application, from spreadsheets to virtual machines, will run with no perceived lag. The Iris Xe integrated graphics (96EU) provide a backup for basic tasks, potentially extending battery life when the discrete GPU is not needed. The system's performance is far beyond the requirements of typical academic or administrative tasks.

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

The Intel Core i7-13800H is a member of the 13th Gen Core series, built on the Raptor Lake architecture (Raptor Lake-H codename). It is a mobile processor manufactured on Intel's 10 nm process node, with a die size of 257 mm². The CPU features a hybrid architecture with 14 cores and 20 threads, which is typical for high-performance mobile parts. The base clock is set at 2.50 GHz, and it can boost up to 5.20 GHz, providing a wide range of operational frequencies to balance performance and power consumption.

The cache hierarchy is substantial, with 80 KB of L1 cache per core, 2 MB of L2 cache per core, and a shared 24 MB L3 cache. This large cache pool helps keep frequently accessed data close to the cores, reducing latency and improving throughput. The processor supports dual-channel DDR4 and DDR5 memory, offering flexibility in system configuration. For PCIe, it provides Gen 5 connectivity with 8 lanes from the CPU, which is critical for fast NVMe SSDs and future expansion. The integrated graphics are Iris Xe with 96 execution units, providing a capable fallback for display output and light graphics tasks.

The benchmark data shows a strong all-around performer. In Cinebench R23, it scores 18358 in multi-core and 2591 in single-core tests. The Passmark multi-thread test yields a score of 26545, while the single-thread score is 3543. These results indicate excellent performance in both multi-threaded and single-threaded workloads. Its average benchmark score is 34988, placing it in the 84th percentile of all CPUs. The nearest rivals include the Intel Core i9-12900HX, with a deltaPct of 0, indicating identical average performance. It also trades blows with the Intel Core 7 253PTE (0.1 percent faster) and the Intel Core i5-14500HX (-0.3 percent slower). This suggests the i7-13800H sits at a performance parity point with some of the best mobile chips from previous generations.

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

This system is targeted at users who demand uncompromising performance in a mobile form factor. It is not for casual users but for those whose workflows are bottlenecked by lesser hardware. Gamers aiming for maximum settings at high resolutions will find the GPU's 84th percentile score and 16 GB VRAM to be a solid foundation for a high-end gaming laptop, though the CPU's single-core performance is also a key factor in achieving high frame rates.

Content creators, including video editors and 3D artists, are a primary audience. The combination of the CPU's 20 threads and the GPU's 32.98 TFLOPS of FP32 compute makes this a portable workstation. The data shows the system can handle intensive rendering tasks that would typically require a desktop workstation. Software developers working on large codebases will benefit from the high single-thread performance (Cinebench R23 single-core score of 2591) and the multi-core capacity for parallel compilation.

For students, this is a future-proof choice for specialized fields like engineering or computer science, where simulation and modeling software can utilize the CPU and GPU. Small business workstations for tasks like architectural visualization or financial modeling would also find this configuration capable of handling complex datasets and rendering tasks. The performance level is such that it can handle any software suite without a noticeable performance ceiling, making it a versatile tool for professionals who need to work from anywhere without sacrificing performance.

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

The combined performance picture is one of high-end capability. The CPU, the Intel Core i7-13800H, holds an 84th percentile rank among all CPUs. Its average benchmark score is 34988. In specific tests, it achieves a Cinebench R23 multi-core score of 18358 and a single-core score of 2591. In the Passmark suite, it scores 26545 in multi-thread tests and 3543 in single-thread tests. These figures show a processor that is equally adept at single-threaded tasks like gaming and multi-threaded tasks like video rendering.

The GPU, the NVIDIA GeForce RTX 4090 Mobile, also holds an 84th percentile rank among all GPUs, with an average benchmark score of 43667. Its performance in the Passmark G3D test is 27212, and its compute score is 12347. In Geekbench, it achieves 180831 in OpenCL and 170774 in Vulkan. The 16 GB of VRAM and 576.0 GB/s bandwidth are top-tier specifications that support these high scores.

Together, the system achieves a combined percentile of 84. This means that the pairing is well-matched, with neither component significantly holding back the other. The CPU is on par with the Intel Core i9-12900HX (deltaPct 0), while the GPU leads the NVIDIA RTX A6000 by 0.9 percent. This combined picture suggests a system that is ready for the most demanding applications. It is important to note that no measured FPS data exists for this specific combination, so all gaming performance discussions are estimates based on these strong component-level scores.

FAQ — 5-7 Q&A pairs answerable from FACT PACK data

Q: What are the key specifications of the CPU and GPU in this build?

A: The build features the Intel Core i7-13800H with 14 cores and 20 threads, boosting up to 5.20 GHz. The GPU is the NVIDIA GeForce RTX 4090 Mobile with 16 GB of GDDR6 memory on a 256-bit bus.

Q: How does the CPU compare to its nearest rivals in terms of average benchmark score?

A: The i7-13800H has an average benchmark score of 34988. It is exactly on par with the Intel Core i9-12900HX (deltaPct 0), slightly behind the Intel Core 7 253PTE by 0.1 percent, and ahead of the Intel Core i5-14500HX by 0.3 percent.

Q: What is the GPU's performance percentile and how does it stack up against the NVIDIA RTX A6000?

A: The RTX 4090 Mobile is in the 84th percentile of all GPUs. Its average benchmark score is 43667, which is 0.9 percent higher than the NVIDIA RTX A6000's score.

Q: What is the memory bandwidth and capacity of the RTX 4090 Mobile?

A: The GPU has 16 GB of GDDR6 memory with a 256-bit bus width, providing a bandwidth of 576.0 GB/s.

Q: Does the CPU have integrated graphics, and what is the memory support?

A: Yes, the CPU includes Iris Xe Graphics with 96 execution units. It supports dual-channel DDR4 and DDR5 memory.

Q: What is the architecture and process node for both the CPU and GPU?

A: The CPU is based on Intel's Raptor Lake architecture on a 10 nm process. The GPU is based on the Ada Lovelace architecture on TSMC's 5 nm process.

Q: Is the measured FPS data available for this specific build?

A: No, there is no measured FPS data for this exact CPU and GPU combination. All FPS figures are estimates based on the component benchmark scores.

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

The system demonstrates a well-balanced configuration, with both the CPU and GPU holding an 84th percentile rank. This suggests that in most workloads, neither component will be a severe bottleneck. However, the nature of the workload will shift the balance.

In gaming, the bottleneck is typically the GPU. The RTX 4090 Mobile, being a high-end part, will be the primary determinant of frame rates at higher resolutions. The CPU's single-core performance (Cinebench R23 single-core score of 2591) is sufficient to feed the GPU in most scenarios. At lower resolutions, the CPU may become more of a limiting factor, but its performance is high enough to mitigate this.

For multi-threaded CPU workloads, such as video encoding or 3D physics simulation, the CPU is the limiting component. Its multi-threaded score of 18358 in Cinebench R23 is strong, but the GPU is not fully utilized in these tasks. The CPU’s performance is on par with the i9-12900HX, indicating it is a high-tier mobile processor, but it will still be the ceiling for these specific tasks.

In GPU-compute tasks like rendering, the GPU is the clear workhorse. The RTX 4090 Mobile's 32.98 TFLOPS FP32 compute and 12347 Passmark compute score will be the primary driver, with the CPU providing support. The balance is such that for a combined workload like gaming while streaming, the CPU has the headroom (20 threads) to handle the encoding, while the GPU focuses on rendering frames. The data suggests that this is a system where the components are well-matched, and the bottleneck will shift depending on the application's specific demands.

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

This build is a high-performance laptop configuration, as indicated by the buildClass field. It pairs the Intel Core i7-13800H processor with the NVIDIA GeForce RTX 4090 Mobile graphics card. Both components are flagship or near-flagship parts for their respective categories in the mobile space.

The overall tier of this system is high-end, evidenced by the combined 84th percentile score. This means it outperforms 84 percent of all possible combinations of CPUs and GPUs in the database. The CPU, with a launch MSRP of $457, is a premium mobile processor. The GPU, while having no launch MSRP listed, is positioned as the top-tier mobile GPU in the GeForce 40-series lineup.

This is not a mainstream gaming laptop; it is a premium mobile workstation and gaming machine. The combination of 14 CPU cores and a 16 GB VRAM GPU puts it in a class above typical thin-and-light laptops. It is designed for users who require desktop-class performance in a portable package. The 84th percentile combined rank confirms its status as a top-tier configuration for demanding applications and high-refresh gaming.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

It is important to state clearly that there is no measured FPS data for this exact combination of the Intel Core i7-13800H and NVIDIA GeForce RTX 4090 Mobile. The `measuredFpsUltraByGame` field is empty, and `dataIsMeasured` is false. Therefore, all frame rate figures presented here are estimates based on the component benchmark scores.

Given the GPU's 84th percentile ranking and its average benchmark score of 43667, the RTX 4090 Mobile is expected to deliver extremely high frame rates in most modern games. With 16 GB of VRAM and a bandwidth of 576.0 GB/s, it is well-equipped to handle textures and assets at 1440p and 4K resolutions. The GPU's Passmark G3D score of 27212 suggests it will excel in DirectX 12 and Vulkan titles, which are common in modern gaming.

The CPU's single-core performance (Cinebench R23 score of 2591) is also critical for gaming, as it affects frame pacing and minimum FPS. The i7-13800H is on par with the Intel Core i9-12900HX, a well-known gaming CPU, suggesting it will not bottleneck the GPU in most scenarios. For esports titles, the frame rates are expected to be extremely high, potentially in the hundreds, but these are estimates. For AAA titles at ultra settings, the system should be able to maintain high frame rates at 1440p and be capable of 4K gaming, though the exact figures will vary by game. These expectations are derived from the component scores and should be treated as estimates.

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The platform is based on the Intel BGA 1744 socket, which is a soldered mobile socket. This means the CPU is not upgradeable; it is permanently attached to the motherboard. Therefore, any future CPU upgrade would require replacing the entire laptop or motherboard.

Memory support is flexible, as the CPU supports both DDR4 and DDR5 in a dual-channel configuration. This allows for a range of memory speeds and capacities, though the specific maximum capacity is not stated in the data. Upgrading to faster or higher-capacity memory is a potential avenue for performance improvement, particularly for memory-intensive tasks.

For storage and expansion, the CPU provides PCIe Gen 5 with 8 lanes, which is a high-bandwidth interface suitable for the fastest NVMe SSDs. The GPU uses a PCIe 4.0 x16 interface. Upgrading storage to a Gen 5 NVMe drive could improve load times and data transfer rates, assuming the laptop's design supports it.

The GPU has a TDP of 120 W, and the CPU has a TDP of 45 W. No suggested PSU is listed for the GPU, as this is a laptop component with an integrated power delivery system. There is no user-replaceable PSU in a traditional sense. The power connectors are listed as "None," indicating that power is delivered through the motherboard.

Given the soldered nature of the CPU and the integrated design of the mobile GPU, a sensible "next upgrade" for this system would not involve swapping internal components. Instead, the upgrade path would be to external peripherals, such as higher-resolution monitors, or to a new laptop entirely. The platform is at the top of its generation, and the performance level is already near the maximum for its class. The most practical upgrade is to ensure the system has ample fast storage and memory, as these are the only user-accessible components.