SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI Embedded P164 + NVIDIA RTX 5000 Mobile Ada Generation

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

87 / 100
HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
95%
VS
GPU
80%
PROCESSOR

AMD Ryzen AI Embedded P164

52,901 Benchmark Score
Top 5% Market Ranking
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GRAPHICS CARD

NVIDIA RTX 5000 Mobile Ada Generation

3,596 Benchmark Score
Top 20% 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
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Performance Insights

Tips to maximize your system

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

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 AMD Ryzen AI Embedded P164 and NVIDIA RTX 5000 Mobile Ada Generation pairing is a study in contrast. The CPU is a high-end mobile processor with a 91st percentile ranking, while the GPU, despite its professional name and 16 GB of VRAM, sits at only the 21st percentile in benchmark scores. This combination creates a system where the processor is the clear performance leader, with the graphics card acting as a capable but secondary component for specific workloads. The data indicates a platform built for professional-grade CPU tasks in a mobile form factor, not for high-end gaming or graphics rendering.

Upgrade Path and Platform

The foundation of this system is the AMD Socket FP8, a mobile platform designed for the Ryzen AI Embedded series. The CPU, codenamed Gorgon Point, is an active production part. Memory support is modern, with the integrated memory controller handling DDR5 and LPDDR5X across a dual-channel bus, delivering 89.6 GB/s of bandwidth. The platform also supports ECC memory, a critical feature for workstations that require data integrity over long compute runs.

For expansion and peripherals, the CPU provides 16 PCIe Gen 4 lanes. This is a standard allocation for a mobile processor, allowing for a dedicated GPU and one or two NVMe SSDs. The system also integrates a Radeon 880M GPU, offering a fallback display output and basic graphics acceleration when the dGPU is not in use. The 28W TDP of the CPU is a low figure for a processor with 8 cores and 16 threads, indicating a design focused on power efficiency and thermals within a laptop chassis.

The GPU is an NVIDIA RTX 5000 Mobile Ada Generation part with a 120W TDP. It connects via PCIe 4.0 x16. A suggested PSU is not listed in the data, but for a laptop-class component, the power delivery is handled by the system's power brick and internal VRMs, not a user-selected PSU. The upgrade path is inherently limited by the Socket FP8 platform; the CPU is soldered and not swappable. The most sensible upgrade for this platform would be to increase memory capacity, as the dual-channel DDR5/LPDDR5X support is the only major user-accessible component that can be changed.

Benchmark Performance

The performance profile is bifurcated. The CPU's average benchmark score is 52901, placing it in the 91st percentile of all CPUs. This is a dominant position. The data shows it is effectively tied with the AMD Ryzen 5 9500F (deltaPct 0.1) and the Intel Xeon 634 (deltaPct -0.1). It is also just 0.6% ahead of the AMD EPYC 7313P and 0.7% ahead of the AMD Ryzen 9 7900X. These rivals are desktop and server parts, yet this mobile chip is competitive with them, indicating exceptional performance for its class.

In stark contrast, the GPU's average benchmark score is 3596 from the 3dmark_3dmark_steel_nomad_dx12 test, placing it in only the 21st percentile of all GPUs. This score puts it in the company of the NVIDIA GeForce GT 545 (deltaPct 0.1), NVIDIA GeForce GT 735M (deltaPct -0.6), NVIDIA GeForce GTX 1050 (deltaPct -0.9), and AMD Radeon HD 6770 (deltaPct -1.5). These are legacy or entry-level parts. The combined percentile for the system is 56, reflecting the massive gap between the CPU's top-tier performance and the GPU's entry-level standing.

The combined picture is clear: this is a CPU-centric machine. The benchmark results indicate that the processor will excel in multi-threaded, compute-heavy tasks, while the GPU will be a limiting factor in any graphics-intensive application.

CPU Analysis

The AMD Ryzen AI Embedded P164 is an 8-core, 16-thread processor based on the Zen 5 / Zen 5c architecture. It is manufactured on TSMC's 4 nm process with a die size of 233 mm². The base clock is 2.00 GHz with a boost clock of 5.00 GHz. The cache hierarchy is substantial, featuring 80 KB of L1 per core, 1 MB of L2 per core, and 8 MB of shared L3 cache.

The benchmark data illustrates a processor with immense compute capability. The multithread score is 25889, a strong result that supports heavy parallel workloads. The single-thread score of 4029 is equally impressive, ensuring snappy responsiveness and strong performance in lightly-threaded tasks. In specific math tests, the CPU scores 87940 in integer math and 55799 in floating-point math. The extended instructions score is 24193, and the data compression score is 327891, indicating excellent performance in archival and data-processing tasks. The data encryption score is 16055, while the find prime numbers score is 71 and the physics score is 1210. The random string sorting score is 34801.

These scores paint a picture of a versatile workhorse. The high integer and floating-point scores suggest it can handle code compilation, financial modeling, and scientific simulations. The strong compression and encryption results make it suitable for database workloads and secure data handling. The 5.00 GHz boost clock ensures that even legacy single-threaded applications will perform well. This is a CPU that rivals desktop parts, as evidenced by its proximity to the AMD Ryzen 9 7900X in average score.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact combination. Therefore, all frame rate discussions are estimates derived from the GPU's benchmark score. The GPU's 3dmark_3dmark_steel_nomad_dx12 score of 3596 is a very low figure, placing it at the 21st percentile. This score is comparable to the NVIDIA GeForce GTX 1050, a GPU from several generations ago that was considered entry-level for 1080p gaming.

Based on this score, the estimated gaming performance is poor. At 1080p resolution, with ultra settings, users could expect frame rates in the 30-40 FPS range in modern AAA titles, with significant dips in more demanding scenes. For esports titles like Valorant or Counter-Strike 2, the frame rates might be higher, potentially reaching 60-80 FPS at 1080p with medium settings, but the data does not support a high-refresh-rate experience. At 1440p or 4K, the GPU would be severely overwhelmed, and playable frame rates would only be achievable with significant reductions in graphical fidelity and resolution scaling. The pairing of a top-tier CPU with this GPU creates a scenario where the CPU is never the bottleneck in gaming; the GPU will always be the limiting factor, struggling to maintain smooth gameplay.

Usage Scenarios

High-Refresh Gaming: Not recommended. The GPU's 21st percentile score is insufficient for high refresh rate monitors. Users would be forced to play at low resolutions and settings to approach 144Hz, and the experience would be subpar.

Streaming: Viable for CPU-encoded streaming. The Ryzen AI Embedded P164 has the multithreaded headroom, with a score of 25889, to handle game capture and encoding via x264 while maintaining system responsiveness. The GPU's lack of performance, however, means the game itself would run poorly, making this a niche scenario.

Video Editing: A mixed bag. The CPU will handle timelines and effects processing smoothly, with strong scores in integer math (87940) and floating-point math (55799). The GPU, however, would be a bottleneck for hardware-accelerated effects and rendering, leading to slower export times compared to systems with a stronger GPU.

3D Rendering: CPU rendering will be a strength, leveraging the 8-core/16-thread design and a multithread score of 25889. GPU-accelerated rendering in applications like Blender or Octane would be slow due to the GPU's 41.15 TFLOPS FP32 compute, which is low by modern standards.

Software Development: Excellent. The CPU's high single-thread score of 4029 speeds up compilation of individual files, while the multithread score of 25889 accelerates full builds. The data compression score of 327891 is beneficial for version control operations. The GPU is irrelevant for most development tasks.

Student and Office Work: Overkill. The CPU provides more performance than needed for document editing, spreadsheets, and web browsing. The system's power efficiency, with a 28W CPU TDP, is a benefit for battery life, but the discrete GPU adds unnecessary weight and power draw for these tasks.

Who Should Build It

This specific configuration targets a narrow professional niche. The target user is a developer or engineer who needs maximum CPU compute power in a mobile workstation and does not prioritize graphics performance. The Ryzen AI Embedded P164 is built for this, with its 91st percentile ranking and competitive standing against desktop CPUs like the AMD Ryzen 9 7900X. The platform's support for ECC memory further solidifies its position for mission-critical data processing. Industries such as software engineering, data analysis, and financial modeling would benefit from the CPU's capabilities.

The RTX 5000 Mobile Ada Generation GPU, despite its name, is not a target for gamers or 3D artists. Its 16 GB of VRAM and 576.0 GB/s bandwidth are useful for large dataset processing in CUDA-accelerated compute tasks, but its raw compute power is too low for modern rendering workloads. This system is not for gamers at any resolution, given the GPU's estimated performance. It is not for content creators who rely on GPU acceleration. It is a specialist tool for CPU-bound professional workloads.

Balance and Bottleneck

The system balance is heavily skewed. The CPU is a top-tier performer, while the GPU is an entry-level part. In any workload that involves both, the GPU will be the bottleneck. For example, in a video editing timeline, the CPU can process the edits and effects, but the GPU will limit the real-time preview resolution and slow down the final render.

The CPU's 91st percentile versus the GPU's 21st percentile is a massive 70-point disparity. This indicates that the GPU is the primary limiting factor in virtually all graphics and compute tasks. The CPU's performance will be wasted in gaming, as it will spend most of its time waiting for the GPU to render frames. In CPU-only workloads, the bottleneck shifts to the CPU, but it is a high-performance component, so this is less of a concern. The FPS scaling, if it were measured, would show that performance does not improve with lower resolutions, because the GPU is already at its limit. The only way to utilize this system's full potential is to run CPU-intensive applications that do not rely on the GPU.

FAQ

Q: What is the processor's average benchmark score and percentile?

A: The AMD Ryzen AI Embedded P164 has an average benchmark score of 52901, placing it in the 91st percentile of all CPUs.

Q: How does the CPU compare to the AMD Ryzen 9 7900X?

A: The Ryzen AI Embedded P164 is 0.7% faster in average benchmark score than the AMD Ryzen 9 7900X.

Q: What is the GPU's benchmark score and what does it mean?

A: The GPU's score is 3596 in the 3dmark_3dmark_steel_nomad_dx12 test, placing it in the 21st percentile and making it comparable to the NVIDIA GeForce GTX 1050.

Q: What kind of memory does the platform support?

A: The CPU supports DDR5 and LPDDR5X memory in a dual-channel configuration, with support for ECC memory.

Q: Is this system good for gaming?

A: No. The GPU's low benchmark score suggests it would struggle to maintain playable frame rates at 1080p ultra settings, and it is not suitable for high-refresh-rate gaming.

Q: What is the TDP of the CPU and GPU?

A: The CPU has a TDP of 28W, and the GPU has a TDP of 120W.

Q: What is the GPU's memory configuration?

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

GPU Analysis

The NVIDIA RTX 5000 Mobile Ada Generation is built on the Ada Lovelace architecture and the AD103 chip, manufactured on a 5 nm process at TSMC. It has 45,900 million transistors on a 379 mm² die. The GPU has a base clock of 1425 MHz and a boost clock of 2115 MHz. The memory operates at 2250 MHz with an effective data rate of 18 Gbps.

The memory subsystem is a highlight: 16 GB of GDDR6 on a 256-bit bus yields 576.0 GB/s of bandwidth. This is a generous allocation for the GPU's compute capabilities. The GPU also has 76 RT cores and 304 tensor cores, indicating hardware support for ray tracing and AI acceleration. The shading units number 9728, with 304 TMUs and 112 ROPs. The compute throughput is 41.15 TFLOPS for FP32 and FP16 (1:1).

Despite these modern features, the benchmark data shows a severe performance deficit. The 3dmark_3dmark_steel_nomad_dx12 score of 3596 is a direct measure of its DX12 rendering capability. This score is 0.9% lower than the NVIDIA GeForce GTX 1050, a card from 2016. The pixel rate is 236.9 GPixel/s and the texture rate is 643.0 GTexel/s, but these figures are not enough to overcome the raw computational deficit. The GPU's low percentile ranking is a result of its actual performance in a modern benchmark, not its feature set. For rendering, this means that while it can support accelerated features, the overall speed will be low. The high VRAM capacity is useful for holding large textures or datasets, but the GPU will not be able to process them quickly. This is a component designed for specific, low-compute professional tasks that need memory capacity, not for general graphics or high-performance rendering.