SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI Embedded P174 + NVIDIA GeForce RTX 4080 Mobile

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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68 Score

Top 32% Ranking

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%

GPU

95%

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

PROCESSOR

AMD Ryzen AI Embedded P174

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

This is a mobile platform pairing built around a 10-core AMD processor and a high-end NVIDIA laptop GPU. The data shows a system designed for demanding portable workloads, though the configuration carries some notable trade-offs in CPU performance potential. The AMD Ryzen AI Embedded P174 is a 10-core, 20-thread part based on the Gorgon Point architecture, using a hybrid Zen 5 / Zen 5c design. The CPU has a base clock of 2.00 GHz and a boost clock of 5.00 GHz, with a 28W TDP that suggests a focus on efficiency and sustained operation in a thin chassis. The GPU is an NVIDIA GeForce RTX 4080 Mobile, an Ada Lovelace part with substantial compute resources that places it in the 81st percentile of all GPUs benchmarked. This combination yields a combined percentile of 66, indicating that while the graphics side is strong, the CPU’s benchmark score lags. The data is clear: this is a system where the GPU is the headline act, and the CPU is a supporting player that might not feed the GPU enough in certain scenarios.

CPU Analysis

The AMD Ryzen AI Embedded P174 is a 10-core, 20-thread processor built on TSMC's 4 nm process node. It uses a hybrid architecture codenamed Gorgon Point, which mixes Zen 5 and Zen 5c cores. This design is typical for mobile parts aiming to balance performance and power efficiency. The base clock is a conservative 2.00 GHz, but the boost clock reaches 5.00 GHz, allowing for significant single-thread speed when needed. The cache hierarchy is robust for a mobile chip: 80 KB of L1 per core, 1 MB of L2 per core, and a 16 MB L3 cache. The die size is 233 mm², which is substantial but reasonable for a 10-core part.

The CPU supports DDR5 and LPDDR5X memory over a dual-channel bus, with a memory bandwidth of 89.6 GB/s. It also supports ECC memory, which is a feature often found in workstation or embedded platforms. The integrated graphics are a Radeon 880M, which is not the primary focus here but provides a fallback for basic display output. The CPU’s average benchmark score is reported as zero, which is unusual. Its percentile versus all CPUs is 50, meaning it sits exactly at the midpoint of the database. This is a mediocre result for a processor with 20 threads. In practical terms, the boost clock of 5.00 GHz should handle light single-threaded tasks well, but the 28W TDP likely constrains sustained multi-core performance. The data suggests this CPU is not a top-tier performer; it is a mid-pack part that will handle everyday tasks and moderate multi-threaded work without excelling.

For real workloads, the 10 cores and 20 threads are useful for parallel tasks like compiling code, running virtual machines, or batch photo processing. The 5.00 GHz boost clock should make web browsing, office applications, and light productivity feel snappy. However, the 50th percentile ranking indicates that many other CPUs outperform it in both single-threaded and multi-threaded benchmarks. The lack of a launch MSRP and the "Embedded" designation in the name suggest this is a part sold to OEMs for specific laptop designs, not a retail product. The L3 cache of 16 MB is modest compared to high-end desktop parts, which can impact gaming performance in cache-sensitive titles. The memory bandwidth of 89.6 GB/s is adequate for most tasks but is not exceptional. Overall, the CPU is a capable mobile processor, but it is not the reason to buy this system.

Benchmark Performance

The GPU is where this system earns its keep. The NVIDIA GeForce RTX 4080 Mobile has an average benchmark score of 38135 and sits in the 81st percentile of all GPUs. Its nearest rivals are interesting: the NVIDIA GeForce MX570 scores 38299, which is 0.4% higher, and the NVIDIA GeForce RTX 5080 Mobile scores 38349, 0.6% higher. These deltas are within the margin of error, meaning the RTX 4080 Mobile is statistically tied with those parts in aggregate score. The NVIDIA GeForce RTX 4070 scores 37648, which is 1.3% lower, and the NVIDIA Tesla P4 scores 37628, also 1.3% lower. This clustering indicates that the RTX 4080 Mobile is at the very top of its performance class, just barely below the newer RTX 5080 Mobile but essentially equivalent to it in this benchmark suite.

Looking at specific GPU benchmarks, the Geekbench OpenCL score is 159575, and the Vulkan score is 145807. These are strong numbers that indicate the GPU can handle compute-heavy tasks like rendering or machine learning inference. The Passmark G3D score is 24926, which is a solid mid-range result for gaming. The Passmark GPU Compute score is 11191, which is lower than the G3D score and suggests that pure compute workloads are not the GPU’s strongest suit. The DirectX scores are mixed: DirectX 11 scores 244, DirectX 12 scores 96, and DirectX 9 scores 286. The low DirectX 12 score is notable because modern games rely heavily on DX12. This could indicate driver overhead or a benchmark quirk, but it is a data point worth noting.

The CPU’s benchmark score is zero, and its percentile is 50. This means that in the combined picture, the GPU is carrying the system. The combined percentile is 66, which is lower than the GPU’s 81 but higher than the CPU’s 50. This suggests that the CPU is a bottleneck in some scenarios, pulling the overall score down. The data shows a system that is excellent for graphics-heavy tasks but merely average for CPU-bound tasks. Users who need both strong CPU and GPU performance might look elsewhere, but for gaming and GPU-accelerated workloads, this is a top-tier platform.

Balance and Bottleneck

The balance between CPU and GPU is skewed heavily toward the GPU. The RTX 4080 Mobile’s 81st percentile ranking versus the CPU’s 50th percentile creates a clear imbalance. In GPU-bound workloads like high-resolution gaming or 3D rendering, the GPU will be the limiting factor, which is expected and fine. However, in CPU-bound scenarios like esports titles at low settings or physics simulations, the CPU will hold the system back. The GPU’s nearest rivals, such as the RTX 5080 Mobile, score within 0.6%, so the GPU is not the issue. The CPU’s mid-pack performance means that frame rates in CPU-heavy games will be lower than what the GPU could theoretically deliver.

The FPS scaling evidence is absent because there are no measured FPS rows for this combination. The FACT PACK contains no measuredFps data, so all FPS discussion must be framed as estimates from the benchmark scores. Based on the GPU’s high percentile, it is reasonable to estimate that the system can handle 1440p and 4K gaming at high settings in most titles. However, in games that are heavily dependent on single-core CPU performance, the 5.00 GHz boost clock helps, but the 28W TDP may cause the CPU to throttle under sustained load. This could lead to frame drops in CPU-intensive scenes. The GPU’s 12 GB VRAM is ample for modern games, but the CPU’s 16 MB L3 cache may limit performance in games that rely on large cache footprints.

The data indicates that the GPU is the component that limits performance in most modern gaming scenarios, which is a good position to be in. The CPU will limit performance in productivity tasks like video encoding or software compilation, where all 20 threads are used but the chip’s mid-pack score means it is not competitive with higher-end mobile CPUs. For a balanced system, the CPU should ideally be in the 70th percentile or higher to match the GPU. This system’s 50th percentile CPU is a potential weak point. Owners should expect that upgrading the GPU in the future would yield diminishing returns unless the CPU is also upgraded.

Who Should Build It

This platform is for users who prioritize GPU performance above all else. Gamers who play at 1440p or 4K resolution will benefit most from the RTX 4080 Mobile’s strong benchmark scores. The GPU’s 81st percentile ranking means it can handle ultra settings in most modern titles at those resolutions. Content creators who work with GPU-accelerated software like Adobe Premiere or DaVinci Resolve will also see excellent performance, as the GPU’s OpenCL score of 159575 indicates strong compute capability. However, video editors who rely on CPU-based encoding might be disappointed by the CPU’s 50th percentile score.

Developers who write code that uses CUDA or other GPU compute libraries will find this system useful, as the 7424 shading units and 232 tensor cores provide substantial parallel compute power. The 12 GB VRAM is sufficient for most machine learning models and data science tasks. Students in engineering or computer science programs will benefit from the GPU for rendering and simulation projects, but the CPU’s mid-pack performance is adequate for typical coursework. Small business workstations that run GPU-accelerated applications like CAD or 3D modeling will see a significant boost from the RTX 4080 Mobile, but the CPU might be a bottleneck in complex assemblies or simulations. This is not a system for users who need top-tier CPU performance for tasks like heavy multitasking, large-scale code compilation, or high-core-count rendering.

Usage Scenarios

High-refresh gaming: At 1080p, the GPU is more than capable of pushing frame rates above 144 FPS in most titles, but the CPU’s 50th percentile score might cause frame rate dips in esports games like Counter-Strike 2 or Valorant. At 1440p, the GPU becomes the limit, and the system should deliver smooth 100+ FPS experiences in AAA games. At 4K, the GPU is the clear bottleneck, and the CPU’s role is less important.

Streaming: The GPU’s NVENC encoder, part of the Ada Lovelace architecture, will handle video encoding with minimal performance impact. The 232 tensor cores can also be used for AI-enhanced streaming features. The CPU’s 20 threads are sufficient for running the game and encoding simultaneously, but the mid-pack CPU score means there is less headroom for background tasks.

Video editing: GPU-accelerated effects and rendering will be very fast, as the OpenCL score of 159575 suggests. Timeline scrubbing and previews will be smooth. However, CPU-based effects and exports will be slower than on a system with a higher-ranking processor, as the 50th percentile score indicates average performance.

3D rendering: The RTX 4080 Mobile excels at GPU rendering in Blender or Octane, with 24.72 TFLOPS of FP32 performance. The 12 GB VRAM is sufficient for most scenes, but very large scenes might exceed it. CPU-based rendering in software like V-Ray will be mediocre, as the 10-core CPU is not a top performer.

Software development: Compiling large codebases will use all 20 threads, but the CPU’s score is average, so build times will not be exceptional. Running multiple virtual machines or containers will be fine, but the 28W TDP might limit sustained performance. The GPU is useful for testing graphics applications or running local machine learning experiments.

Student and office work: This system is overkill for document editing, spreadsheets, and web browsing. The CPU’s 5.00 GHz boost clock makes these tasks feel instant. The integrated Radeon 880M can handle basic graphics tasks without engaging the discrete GPU, saving battery life. However, the high-end GPU means this is a heavy and expensive laptop, which is not ideal for carrying between classes.

GPU Analysis

The NVIDIA GeForce RTX 4080 Mobile is built on the Ada Lovelace architecture, using the AD104 chip fabricated on TSMC’s 5 nm process. The chip contains 35,800 million transistors on a 294 mm² die, giving a transistor density of 121.8M per mm². This is a large and complex chip, but the 110W TDP is reasonable for a mobile flagship. The GPU has 7424 shading units, 232 texture mapping units, and 80 raster output units. It also has 58 ray tracing cores and 232 tensor cores, which are essential for modern gaming features like DLSS and ray-traced lighting.

The memory subsystem consists of 12 GB of GDDR6 on a 192-bit bus, with a bandwidth of 432.0 GB/s. The memory clock is 2250 MHz, which translates to 18 Gbps effective. This is a solid configuration for 1440p gaming, as 12 GB is enough for most titles at that resolution. The pixel rate is 133.2 GPixel/s, and the texture rate is 386.3 GTexel/s. The FP32 performance is 24.72 TFLOPS, and FP16 performance is also 24.72 TFLOPS, indicating a 1:1 ratio. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with all modern APIs.

In benchmark performance, the GPU scores 159575 in Geekbench OpenCL and 145807 in Geekbench Vulkan. The Passmark G3D score is 24926, and the Passmark GPU Compute score is 11191. These scores place the GPU in the 81st percentile, and its average score of 38135 is nearly identical to the RTX 5080 Mobile’s 38349. The deltaPct values show that the RTX 4080 Mobile is within 1.3% of its nearest rivals, making it a top-tier performer. The 232 tensor cores are particularly useful for AI workloads and DLSS, which can significantly boost gaming performance. The 58 RT cores handle ray tracing efficiently, but the Passmark DirectX 12 score of 96 is concerning, as it suggests potential driver issues or a bottleneck in that specific API.

Gaming Performance

No measured FPS rows exist for this exact combination. The FACT PACK contains no measuredFps data, so all frame rate figures are estimates based on the benchmark scores. The GPU’s high percentile and strong Passmark G3D score of 24926 indicate that this system is capable of running most modern games at high settings. At 1080p, the GPU will often be overkill, and the CPU’s 50th percentile score might become the limiting factor in CPU-heavy titles. At 1440p, the GPU should deliver 60-100+ FPS in most AAA games on ultra settings. At 4K, expect 30-60 FPS in demanding titles, with the GPU being the primary bottleneck.

The 12 GB VRAM is sufficient for 1440p gaming, but some games at 4K with ultra textures might exceed it, causing stuttering. The RTX 4080 Mobile’s nearest rival, the RTX 5080 Mobile, scores only 0.6% higher, so this GPU is essentially as fast as the latest generation in aggregate. The GPU’s 81st percentile ranking means it outperforms the vast majority of other GPUs in the database. For esports titles like Fortnite or Apex Legends, the system should easily exceed 144 FPS at 1080p, but the CPU might cause frame drops in crowded scenes. For single-player titles like Cyberpunk 2077, the GPU will handle ray tracing well, but the CPU might struggle with the game’s complex AI and physics. Overall, this is a system that excels at GPU-bound gaming, but users with 1080p high-refresh monitors might find the CPU to be a slight bottleneck.

Upgrade Path and Platform

The CPU is an AMD Ryzen AI Embedded P174, which uses the AMD Socket FP8. This is a mobile-specific socket, so upgrading the CPU is not practical in most laptops. The CPU supports DDR5 and LPDDR5X memory over a dual-channel bus, with a memory bandwidth of 89.6 GB/s. ECC memory is supported, which is a feature for workstation use. The CPU provides 16 PCIe Gen 4 lanes, which is enough for the GPU and one NVMe SSD. The GPU connects via PCIe 4.0 x16, which is the standard for this class of GPU.

The GPU is a mobile part, so it is soldered to the motherboard and cannot be upgraded. The suggested PSU is listed as null, meaning there is no specific power supply recommendation, but the GPU’s 110W TDP and the CPU’s 28W TDP suggest a total system power draw of around 150W, which is typical for a high-end gaming laptop. A sensible next upgrade for this platform would be adding more RAM, as the system supports dual-channel DDR5. The 12 GB VRAM is generous, but if the laptop has a free M.2 slot, adding a fast NVMe SSD would improve load times. The platform is current as of the release date of 2026-02-28 for the CPU and 2023-01-02 for the GPU. The GPU’s successor, the GeForce 50 Mobile, is already available, but the RTX 4080 Mobile’s benchmark scores are nearly identical to the RTX 5080 Mobile, so there is little performance gain to be had from upgrading to the newer generation. The CPU’s socket FP8 is likely to be replaced by a newer socket in future generations, so a full system replacement is the only real upgrade path.

FAQ

Q: What is the combined performance percentile of this system?

A: The combined percentile is 66, which is lower than the GPU’s 81st percentile but higher than the CPU’s 50th percentile.

Q: How does the RTX 4080 Mobile compare to the RTX 5080 Mobile in benchmark scores?

A: The RTX 4080 Mobile has an average score of 38135, while the RTX 5080 Mobile scores 38349, a delta of 0.6% in favor of the newer card.

Q: What is the GPU’s memory configuration?

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

Q: Does the CPU support ECC memory?

A: Yes, the AMD Ryzen AI Embedded P174 supports ECC memory.

Q: What is the CPU’s boost clock speed?

A: The CPU has a boost clock of 5.00 GHz.

Q: Are there any measured FPS values for this system?

A: No, the FACT PACK contains no measured FPS data for this exact combination, so all frame rate figures are estimates.

Q: What is the GPU’s transistor count?

A: The GPU has 35,800 million transistors.

Rate My PC: AMD Ryzen AI Embedded P174 + NVIDIA GeForce RTX 4080 Mobile

Solid Performer

System Balance Analysis

AMD Ryzen AI Embedded P174

NVIDIA GeForce RTX 4080 Mobile

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Solid Mid-Range

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Benchmark Performance

Balance and Bottleneck

Who Should Build It

Usage Scenarios

GPU Analysis

Gaming Performance

Upgrade Path and Platform

FAQ

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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