SYSTEM ANALYZER

Rate My PC: Intel Core i5-13505H + NVIDIA GeForce RTX 4080 Mobile

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

68 / 100
MID-RANGE

Solid Performer

Top 32% of systems. Great for 1080p Ultra or 1440p Medium gaming.

1080p Ultra1440p Med

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
41%
VS
GPU
95%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i5-13505H

0 Benchmark Score
Top 59% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4080 Mobile

38,135 Benchmark Score
Top 5% 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

Solid Mid-Range

Great for 1080p gaming. Consider upgrading GPU for better 1440p performance.

Bottleneck Detected

CPU 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 i5-13505H paired with the NVIDIA GeForce RTX 4080 Mobile is a high-performance laptop combination that prioritizes GPU capability over CPU compute. The data indicates a system built for graphics-intensive tasks, positioned at the 66th percentile overall among all hardware combinations. While the CPU is a solid mid-range mobile processor, the RTX 4080 Mobile is the clear performance driver, delivering GPU benchmark scores that place it in the 81st percentile. This analysis will break down the strengths and limitations of this pairing, focusing on the measurable performance data.

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

The NVIDIA GeForce RTX 4080 Mobile is the dominant component in this configuration. Based on the Ada Lovelace architecture and built on a 5 nm process by TSMC, this GPU is engineered for high-end mobile graphics. It houses 35,800 million transistors on a 294 mm² die, reflecting a dense and power-efficient design. The GPU operates with a base clock of 1290 MHz and a boost clock of 1665 MHz, with memory running at an effective 18 Gbps.

Memory capacity and bandwidth are critical for modern rendering workloads. The RTX 4080 Mobile is equipped with 12 GB of GDDR6 memory on a 192-bit bus, providing a substantial 432.0 GB/s of bandwidth. This configuration is well-suited for high-resolution textures and complex 3D scenes, allowing the GPU to feed its 7424 shading units, 232 texture mapping units, and 80 raster operation pipelines without significant bottleneck. The pixel rate of 133.2 GPixel/s and texture rate of 386.3 GTexel/s further confirm its capacity for high-fidelity rasterization.

For ray tracing and AI-accelerated features, the GPU includes 58 RT cores and 232 tensor cores. This hardware enables real-time ray-traced lighting and DLSS-style upscaling, which are increasingly important in modern video games and 3D applications. The raw compute throughput is impressive: the GPU delivers 24.72 TFLOPS for both FP32 and FP16 operations, indicating that it can handle both standard graphics shaders and compute-heavy AI workloads with equal proficiency.

Benchmark data confirms the GPU's strong standing. In Geekbench OpenCL, it scores 159,575 points, and in Geekbench Vulkan, it achieves 145,807 points. These are strong absolute scores that indicate excellent compute and graphics API performance. In Passmark tests, the G3D score is 24,926, while the GPU compute score is 11,191. The average benchmark score for this GPU is 38,135, placing it in the 81st percentile of all GPUs. When compared to its nearest rivals, the data shows a close grouping: it is 0.4% behind the NVIDIA GeForce MX570, 0.6% behind the RTX 5080 Mobile, and 1.3% ahead of both the RTX 4070 and Tesla P4. This indicates that while the RTX 4080 Mobile is a high-performer, it sits in a competitive performance tier where small percentage differences matter. For rendering, the combination of high TFLOPS, large memory pool, and dedicated RT/tensor cores means this GPU can handle demanding tasks like 3D rendering and video effects with ease, though it is not the absolute top-tier mobile GPU available.

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

The balance between the CPU and GPU is uneven, with the GPU being the clear performance leader. The CPU holds a percentile rank of 50 against all CPUs, while the GPU sits at the 81st percentile against all GPUs. This significant gap indicates that in many workloads, the GPU will be the primary driver of performance, while the CPU may act as a limiting factor in scenarios that require heavy processor computation.

In gaming, this imbalance suggests that at lower resolutions and graphical settings, the CPU might struggle to feed the GPU with enough frames, creating a bottleneck. However, at higher resolutions and with ultra settings, the GPU becomes the limiting factor, as its rendering load increases. The lack of measured FPS data for this specific combination means we must estimate based on the benchmark scores. Given the GPU's high percentile and the CPU's mid-range percentile, the system is likely well-balanced for 1440p and 4K gaming, where the GPU's workload is more demanding. At 1080p, the CPU's lower relative performance could hold back the GPU's potential, resulting in lower frame rates than the GPU alone could achieve in a system with a stronger processor.

For productivity tasks like video editing, the balance shifts depending on the software. GPU-accelerated effects and rendering will benefit greatly from the RTX 4080 Mobile, while CPU-bound tasks like timeline scrubbing and complex code compilation will rely on the i5-13505H's performance. The benchmark data shows the GPU is significantly more powerful relative to its peers than the CPU, so any workload that is heavily threaded or relies on single-core speed will find the CPU to be the constraining component. The combined percentile of 66 reflects this mixed performance, indicating a system that is above average overall but not top-tier in every aspect.

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

The Intel Core i5-13505H is a mobile processor from the 13th Gen Core series, built on the Raptor Lake architecture. It uses a 10 nm process node and is designed for the Intel BGA 1744 socket, indicating it is a soldered, non-upgradeable mobile chip. This CPU features 12 cores and 16 threads, a configuration that provides decent multi-threading capability for a mobile chip. The base clock is 2.60 GHz, which can boost up to 4.70 GHz under load. It has a TDP of 45W, a common figure for high-performance laptop processors.

The cache hierarchy is substantial for a mid-range chip, with 80 KB of L1 cache per core, 2 MB of L2 cache per core, and a shared 18 MB L3 cache. This cache structure helps improve performance in workloads that benefit from fast data access. The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, offering flexibility for laptop manufacturers. It also includes Iris Xe Graphics with 80 execution units, providing a baseline integrated GPU for basic display output and light tasks, though the dedicated RTX 4080 Mobile will handle all graphics-intensive work.

In terms of benchmark performance, the CPU is ranked in the 50th percentile of all CPUs, meaning it performs better than half of all processors in the database. This is a solid mid-range score, indicating it can handle everyday tasks and moderate productivity workloads well. Real-world applications for this CPU include general office work, web browsing, and software development. For content creation, it is capable of handling 1080p video editing and light 3D modeling, though it may struggle with extremely complex multi-core tasks like 8K video rendering or large-scale data compilation where higher-core-count CPUs would excel. The 12-core, 16-thread configuration is a good balance for a mobile system, offering enough parallelism for modern applications without excessive power draw.

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 component pairing is best suited for users who prioritize GPU performance above all else. Based on the 81st percentile GPU score and the 50th percentile CPU score, the target audience is gamers and content creators who work at high resolutions. Gamers playing at 1440p or 4K with high graphical settings will benefit most from the powerful RTX 4080 Mobile, as the GPU's high TFLOPS and 12 GB VRAM can handle the demanding load, minimizing the impact of the CPU bottleneck.

Content creators, particularly those working with video editing and 3D rendering, are also a primary audience. The GPU's Geekbench OpenCL score of 159,575 and Vulkan score of 145,807 indicate strong compute performance for rendering tasks. Software that leverages GPU acceleration, such as Adobe Premiere Pro for effects and export or Blender for rendering, will see significant performance from this GPU. However, creators who rely heavily on CPU processing for tasks like code compilation or complex simulation will find the i5-13505H to be a limiting factor.

Software developers will find this system capable, especially if their work involves GPU computing, such as machine learning or graphics programming. The 232 tensor cores provide hardware acceleration for AI workloads, and the 16 threads of the CPU can handle typical development tasks. Students and small business workstations are also potential users, as the system can handle demanding engineering software, data analysis, and multitasking. However, for these users, the high GPU performance may be underutilized unless their workloads involve graphics or compute-intensive tasks. The system is not ideal for users who need maximum CPU performance for tasks like heavy multitasking or server-style workloads, as the CPU's 50th percentile rank is merely average.

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

High-Refresh Gaming: The RTX 4080 Mobile's 81st percentile ranking and 24.72 TFLOPS of FP32 performance indicate it is capable of driving high frame rates at 1440p and 4K resolutions. The 12 GB VRAM and 432.0 GB/s bandwidth provide ample headroom for high-resolution textures. However, the CPU's 50th percentile score may limit frame rates at lower resolutions like 1080p, potentially preventing the system from reaching the highest refresh rates in esports titles where CPU speed is critical.

Streaming: The GPU's 232 tensor cores and 58 RT cores are excellent for encoding and streaming workloads, as they can handle video encoding and any AI-based enhancements without offloading to the CPU. The strong Geekbench scores suggest the GPU can handle the extra load of encoding while gaming. The CPU's 16 threads are sufficient for streaming software and chat applications, creating a capable streaming platform.

Video Editing: The GPU's Passmark G3D score of 24,926 and compute score of 11,191 indicate strong performance for GPU-accelerated effects and rendering in video editing software. The 12 GB VRAM is beneficial for working with high-resolution timelines and effects. The CPU's 12 cores and 16 threads can handle standard editing tasks, but the system's performance will be heavily dependent on the software's ability to leverage the GPU.

3D Rendering: This is a core strength of this system. The GPU's 24.72 TFLOPS and 58 RT cores are ideal for rendering 3D scenes, especially those using ray tracing. The Geekbench Vulkan score of 145,807 underscores the GPU's capability in graphics APIs common in rendering software. This system can significantly reduce render times compared to CPU-only rendering, though the CPU will still be involved in scene preparation and physics calculations.

Software Development: The CPU's 16 threads and 18 MB of L3 cache provide a reasonable environment for code compilation and running multiple virtual machines. The 50th percentile CPU score means it is average for these tasks. For developers working on GPU compute projects, the RTX 4080 Mobile's tensor cores and high FP32 throughput are a major advantage, allowing for fast prototyping and testing of algorithms.

Student and Office Work: This system is overkill for basic tasks like document editing, web browsing, and spreadsheets. The CPU's performance is more than adequate, and the GPU will remain mostly idle. However, for students in engineering or design programs who need to run CAD software or perform simulations, the GPU's compute power is a significant benefit. The system can handle any academic workload thrown at it, making it a future-proof investment for a student's entire degree.

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)

There are no measured FPS rows available for this exact CPU and GPU combination. The FACT PACK contains no measured FPS data for this pairing, so all gaming performance figures discussed here are estimates based on the benchmark scores of the individual components.

Based on the GPU's strong performance, estimated frame rates at ultra settings are expected to be high. At 1440p, the RTX 4080 Mobile, with its 81st percentile rank and 24.72 TFLOPS, should be able to deliver smooth, high-refresh-rate gameplay in most modern titles. In less demanding games like esports shooters, frame rates could potentially exceed 100 FPS, while in graphically intensive AAA titles, frame rates may range between 60 and 100 FPS depending on the specific game's optimization. At 4K resolution, the 12 GB VRAM and 432.0 GB/s bandwidth are crucial, and the GPU should still deliver playable frame rates of 60 FPS or more in many titles, though the most demanding games may require DLSS to achieve higher frame rates.

The CPU's 50th percentile score could impact performance, particularly in games that are CPU-bound. At 1080p, the CPU might limit frame rates, preventing the GPU from reaching its full potential. This could result in lower frame rates than the GPU alone could achieve, especially in games with complex physics or AI. The estimates suggest that for a balanced experience, playing at 1440p with ultra settings is the sweet spot for this system, allowing the GPU to be the primary performance driver while the CPU provides adequate support. These figures are estimates, and actual performance will vary by game and laptop cooling solution.

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

The combined performance picture shows a system with a strong GPU and an average CPU. The NVIDIA GeForce RTX 4080 Mobile achieves an average benchmark score of 38,135, placing it in the 81st percentile of all GPUs. This is a high ranking, indicating it is a top-tier mobile graphics solution. Its nearest rival, the NVIDIA GeForce MX570, has an average score of 38,299, making the RTX 4080 Mobile 0.4% slower. Similarly, it is 0.6% slower than the RTX 5080 Mobile, which scores 38,349. Conversely, it is 1.3% faster than both the RTX 4070 and the Tesla P4, which score 37,648 and 37,628 respectively. This shows the GPU is in a tightly contested performance cluster.

In specific GPU benchmarks, the Geekbench OpenCL score is 159,575, and the Vulkan score is 145,807. Passmark tests show a G3D score of 24,926 and a GPU compute score of 11,191. The CPU, the Intel Core i5-13505H, holds a 50th percentile ranking against all CPUs. While its average benchmark score is 0 in the FACT PACK, its percentile rank of 50 indicates it is an average performer. The system's combined percentile is 66, reflecting that the powerful GPU drags the overall performance above average, despite the CPU's middling score. The data indicates that this is a system for users who value graphics performance significantly more than processor performance.

FAQ — 5-7 Q&A pairs answerable from FACT PACK data (format: Q: ... A: ...)

Q: What is the GPU's performance percentile ranking?

A: The NVIDIA GeForce RTX 4080 Mobile is in the 81st percentile of all GPUs, indicating it performs better than 81% of all graphics cards in the database.

Q: How does the RTX 4080 Mobile compare to the NVIDIA GeForce RTX 4070?

A: Based on the average benchmark score, the RTX 4080 Mobile is 1.3% faster than the RTX 4070. The RTX 4080 Mobile has an average score of 38,135, while the RTX 4070 has a score of 37,648.

Q: How much VRAM does the RTX 4080 Mobile have and what is its bandwidth?

A: The GPU has 12 GB of GDDR6 memory on a 192-bit bus, providing a memory bandwidth of 432.0 GB/s.

Q: What is the core configuration of the Intel Core i5-13505H?

A: The CPU has 12 cores and 16 threads, with a base clock of 2.60 GHz and a boost clock of 4.70 GHz. It is built on the Raptor Lake architecture.

Q: Does the CPU support ECC memory?

A: No, the Intel Core i5-13505H does not support ECC memory, according to the FACT PACK.

Q: What is the process node for the RTX 4080 Mobile GPU?

A: The GPU is manufactured by TSMC on a 5 nm process node, which is smaller than the CPU's 10 nm node, making the GPU more power-efficient.

Q: What is the CPU's launch MSRP?

A: The Intel Core i5-13505H has a launch MSRP of $342.

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

The upgrade path for this system is inherently limited by its laptop form factor. The CPU is soldered to the motherboard using the Intel BGA 1744 socket, which is not designed for user replacement. This means the processor is a permanent part of the system. Similarly, the GPU is a mobile part integrated into the motherboard, with no upgrade path available. The system's memory support includes both DDR4 and DDR5 in a dual-channel configuration, meaning users can potentially upgrade the RAM, provided the laptop has accessible SODIMM slots. This is the most straightforward upgrade for improving overall system responsiveness.

The CPU provides PCIe Gen 5 with 8 lanes, while the GPU uses a PCIe 4.0 x16 interface. This is an important distinction, as the GPU's interface is a generation behind the CPU's capability, but this is unlikely to be a practical bottleneck for the GPU's performance. The TDP of the CPU is 45W, and the GPU has a TDP of 110W. These power figures are locked into the laptop's design, and there is no suggested PSU rating provided for a desktop equivalent. This means the laptop's cooling and power delivery system are designed specifically for these components, and there is no headroom to upgrade to higher-power parts without changing the entire laptop.

Given the constraints, a sensible "upgrade" for this system would be to focus on external peripherals and storage. Adding a high-speed NVMe SSD via the available PCIe lanes would improve load times and system responsiveness. Upgrading the memory to the maximum supported capacity and speed would also be beneficial. Since the CPU and GPU cannot be upgraded, the next logical step for users seeking more performance would be to consider a new laptop with a newer generation CPU and GPU, such as those from the GeForce 50 Mobile series, which includes the RTX 5080 Mobile that benchmarks slightly faster than the RTX 4080 Mobile. This analysis shows a system that is a dead-end for internal component upgrades but remains a capable performer for its intended lifespan.