SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI Embedded P164i + 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

AMD Ryzen AI Embedded P164i

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

# Balance and Bottleneck

The AMD Ryzen AI Embedded P164i paired with the NVIDIA GeForce RTX 4080 Mobile represents a laptop configuration where the GPU is clearly the dominant component for most performance-intensive tasks. The CPU sits at the 50th percentile among all processors, while the GPU ranks at the 81st percentile, creating a substantial gap in relative capability. This imbalance means that in gaming workloads, the RTX 4080 Mobile will be the primary driver of frame rates, with the CPU rarely being the limiting factor at higher resolutions or with demanding graphical settings.

The CPU's 8 cores and 16 threads with a boost clock of 5.00 GHz provide solid single-threaded performance, but its 28 W TDP classifies it as an efficiency-focused mobile processor rather than a high-performance desktop-class chip. The GPU's 110 W TDP, by contrast, indicates a much larger power envelope dedicated to graphics processing. In CPU-bound scenarios, such as esports titles at 1080p with low graphical settings, the processor's single-core performance will matter more, but the data shows the GPU is in a higher performance tier overall.

For productivity workloads, the balance shifts somewhat. The CPU's 16 threads and dual-channel DDR5/LPDDR5X memory support with 89.6 GB/s bandwidth handle multi-threaded tasks competently, but the GPU's compute capabilities — 24.72 TFLOPS FP32 and 11,191 Passmark GPU compute score — make it the stronger partner for GPU-accelerated rendering, video encoding, and machine learning tasks. The 50th percentile CPU ranking suggests it is average among all processors, while the 81st percentile GPU ranking puts it well above average, so any bottleneck in mixed workloads will typically be the CPU.

Frame rate scaling estimates from benchmark scores indicate that the GPU will deliver consistent performance across a wide range of games, but the CPU's average standing means that in titles with heavy physics or AI simulation, frame pacing could suffer. The lack of measured FPS data for this exact combination means all gaming performance assessments are estimated from the individual component scores, and the combined percentile of 66 confirms that the pairing is above average but not exceptional in either direction.

# Benchmark Performance

The CPU has no recorded benchmark scores in the data, and its average benchmark score is listed as 0, with no nearest rivals provided for comparison. Its 50th percentile ranking among all CPUs is the only quantitative performance indicator available. This places it exactly at the midpoint of the processor performance distribution, meaning half of all CPUs score better and half score worse. For a modern 8-core, 16-thread mobile processor on a 4 nm process, this suggests competent but not class-leading performance.

The GPU, in contrast, has extensive benchmark data. In Geekbench OpenCL, the RTX 4080 Mobile scores 159,575, and in Geekbench Vulkan, it scores 145,807. These scores indicate strong compute and graphics API performance. The Passmark suite shows a G3D score of 24,926, a GPU compute score of 11,191, and DirectX-specific scores of 157 for DirectX 10, 244 for DirectX 11, 96 for DirectX 12, and 286 for DirectX 9. The G2D score of 929 covers 2D graphics operations. The average benchmark score of 38,135 places the GPU at the 81st percentile overall.

Comparing the GPU to its nearest rivals provides context. The NVIDIA GeForce MX570 scores 38,299, which is 0.4% lower than the RTX 4080 Mobile — effectively a statistical tie. The NVIDIA GeForce RTX 5080 Mobile scores 38,349, 0.6% lower, again within noise. The NVIDIA GeForce RTX 4070 scores 37,648, which is 1.3% higher than the RTX 4080 Mobile, and the NVIDIA Tesla P4 scores 37,628, also 1.3% higher. This clustering of scores within roughly 2% of each other suggests that the RTX 4080 Mobile performs at a level comparable to desktop RTX 4070-class hardware and even trades blows with newer mobile parts.

The combined picture shows a laptop that is GPU-heavy. With a combined percentile of 66, the system sits above the median but below top-tier configurations. The CPU's average performance does not hold back the GPU in most scenarios, but it does cap the system's overall ceiling. Benchmark results indicate that the GPU can deliver high frame rates in demanding titles, especially with DLSS and ray tracing enabled, given its 58 RT cores and 232 tensor cores.

# Upgrade Path and Platform

The CPU uses the AMD Socket FP8, a mobile-specific socket that is not designed for user upgrades. The processor is part of the Ryzen AI Embedded series with the Gorgon Point codename and is manufactured on TSMC's 4 nm process with a die size of 233 mm². Memory support includes DDR5 and LPDDR5X in dual-channel configuration, with ECC memory support available — a feature typically associated with workstation and server platforms.

The GPU connects via PCIe 4.0 x16 and is classified as an IGP (integrated graphics processor) in terms of slot width, meaning it is soldered to the motherboard and cannot be upgraded independently. The power connector is listed as "None," which indicates the GPU draws power through the motherboard rather than a dedicated connector. The suggested PSU is not specified, and the GPU's TDP of 110 W combined with the CPU's 28 W TDP suggests a total system power draw that is modest for a laptop with this level of graphics performance.

The PCIe 4.0 x16 interface provides ample bandwidth for the GPU, while the CPU offers Gen 4 with 16 lanes. This is sufficient for current GPU and NVMe storage requirements. The integrated Radeon 880M graphics in the CPU provide a fallback display output, though the discrete RTX 4080 Mobile will handle all demanding graphics workloads. The memory bandwidth of 89.6 GB/s for the CPU is adequate for its 8-core, 16-thread configuration, though it is not exceptional by modern standards.

A sensible next upgrade for this platform is limited by the mobile form factor. The CPU and GPU are both soldered, so the only meaningful upgrades are memory capacity (if the laptop supports it) and storage. The 12 GB GDDR6 VRAM on the GPU is already substantial, and the 232 tensor cores provide future-proofing for AI workloads. The platform's PCIe 4.0 support means that the fastest available NVMe drives will operate at full speed, and the dual-channel memory architecture is already optimal for the CPU's capabilities.

# Usage Scenarios

High-refresh gaming: The RTX 4080 Mobile's Passmark G3D score of 24,926 and 81st percentile ranking indicate strong performance for high-refresh displays. Estimated frame rates in esports and competitive titles should be well above 144 FPS at 1080p, though the CPU's 50th percentile ranking may introduce occasional frame pacing issues in CPU-heavy scenes. At 1440p and 4K, the GPU becomes the clear bottleneck, which is where this system performs best.

Streaming: The GPU's 232 tensor cores and Ada Lovelace architecture support hardware-accelerated encoding, which offloads the streaming workload from the CPU. The 8-core, 16-thread CPU with a 5.00 GHz boost clock can handle game logic and streaming software simultaneously, though the 28 W TDP limits sustained multi-threaded performance. The system is well-suited for 1080p streaming with minimal performance impact.

Video editing: The GPU's 24.72 TFLOPS FP32 performance and 11,191 Passmark GPU compute score accelerate effects, color grading, and export rendering. The 12 GB VRAM handles large timelines and 4K footage without memory pressure, and the CPU's 16 threads process codec operations competently. The 89.6 GB/s memory bandwidth is sufficient for multi-track editing, though it is not class-leading.

3D rendering: The RTX 4080 Mobile excels in GPU-accelerated rendering with 58 RT cores for ray tracing and 232 tensor cores for denoising and AI-accelerated features. The Geekbench OpenCL score of 159,575 confirms strong compute performance for Blender Cycles, Octane, and similar renderers. The CPU's average performance means CPU-based rendering will be slower, but GPU rendering will dominate.

Software development: The 16 threads and 5.00 GHz boost clock provide responsive compilation times for most projects, while the 8 MB L3 cache and 1 MB L2 cache per core handle typical developer workloads. The ECC memory support is a notable advantage for long-running builds and stability-critical development environments. The GPU accelerates shader compilation and local AI model testing.

Student and office work: The CPU's 28 W TDP and integrated Radeon 880M graphics provide efficient operation for productivity tasks, with the discrete GPU remaining idle to save power. The 8-core, 16-thread configuration handles multitasking, spreadsheets, and virtual meetings without strain. The system's 66th combined percentile places it well above the needs of typical academic workloads.

# Who Should Build It

This configuration targets laptop buyers who need desktop-class graphics performance in a mobile form factor. Gamers playing at 1440p or 4K with high settings will benefit most from the RTX 4080 Mobile's 81st percentile ranking, which places it among the top 19% of all GPUs. The 12 GB VRAM ensures compatibility with modern game textures and future titles, and the 58 RT cores enable ray tracing at playable frame rates.

Content creators working with video, 3D rendering, or AI models will find the GPU's compute capabilities — 24.72 TFLOPS FP32 and 159,575 Geekbench OpenCL — well-suited to their workflows. The 232 tensor cores accelerate AI inference and training, and the 12 GB GDDR6 memory with 432.0 GB/s bandwidth handles large datasets. The CPU's 50th percentile ranking is adequate for these tasks but not exceptional.

Developers targeting GPU-accelerated applications will appreciate the combination of CUDA support, DirectX 12 Ultimate, and Vulkan 1.4. The system's 66th combined percentile ensures that software development, testing, and local deployment run smoothly. The ECC memory support adds reliability for long-running processes.

Students in engineering, data science, or graphics programs will find the system capable of handling coursework and projects. Small business workstations requiring GPU acceleration for CAD, simulation, or video production will benefit from the GPU's performance, though the CPU's average ranking means heavily multithreaded CPU workloads will not be exceptional. The system is not ideal for users who prioritize CPU performance, battery life, or portability above graphics capability.

# GPU Analysis

The NVIDIA GeForce RTX 4080 Mobile is built on the AD104 chip using the Ada Lovelace architecture, manufactured on TSMC's 5 nm process with 35,800 million transistors on a 294 mm² die. The GPU operates at a base clock of 1290 MHz and a boost clock of 1665 MHz. Memory consists of 12 GB of GDDR6 on a 192-bit bus, running at 2250 MHz with 18 Gbps effective speed, yielding 432.0 GB/s of bandwidth.

The GPU contains 7,424 shading units, 232 texture mapping units, 80 render output units, 58 RT cores, and 232 tensor cores. The pixel rate is 133.2 GPixel/s, and the texture rate is 386.3 GTexel/s. Compute performance is rated at 24.72 TFLOPS for both FP32 and FP16, indicating 1:1 FP16 support. The TDP is 110 W, with no dedicated power connectors and an IGP slot width.

Benchmark results show a Geekbench OpenCL score of 159,575 and a Vulkan score of 145,807. Passmark scores include 24,926 for G3D, 11,191 for GPU compute, and DirectX scores of 157 (DX10), 244 (DX11), 96 (DX12), and 286 (DX9). The average benchmark score of 38,135 places the GPU at the 81st percentile. The nearest rivals — MX570, RTX 5080 Mobile, RTX 4070, and Tesla P4 — all score within 1.3% of the RTX 4080 Mobile, indicating that performance is competitive with both older and newer generations.

For rendering workloads, the 58 RT cores provide hardware-accelerated ray tracing, and the 232 tensor cores enable DLSS and AI-based denoising. The 12 GB VRAM is sufficient for 4K textures and complex scenes, while 432.0 GB/s bandwidth handles data transfer without bottlenecking the 24.72 TFLOPS compute throughput. The DirectX 12 Ultimate support with a score of 96 suggests that modern API features are available but performance in DX12-specific workloads may be lower than in older APIs, based on the relative scores.

# FAQ

Q: What is the CPU's performance ranking?

A: The AMD Ryzen AI Embedded P164i ranks at the 50th percentile among all CPUs, placing it exactly at the median of processor performance.

Q: How does the RTX 4080 Mobile compare to its nearest rivals?

A: The RTX 4080 Mobile scores 38,135 on average, which is within 1.3% of the MX570 (38,299), RTX 5080 Mobile (38,349), RTX 4070 (37,648), and Tesla P4 (37,628).

Q: What is the GPU's VRAM capacity and bandwidth?

A: The GPU has 12 GB of GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth, running at 2250 MHz with 18 Gbps effective speed.

Q: Does the CPU support ECC memory?

A: Yes, the AMD Ryzen AI Embedded P164i supports ECC memory, which is unusual for a mobile processor and beneficial for workstation reliability.

Q: What is the combined performance percentile of this CPU-GPU pairing?

A: The combined percentile is 66, indicating the system performs above average overall but not in the top tier.

Q: What is the GPU's ray tracing and tensor core count?

A: The RTX 4080 Mobile has 58 RT cores and 232 tensor cores, supporting hardware ray tracing and AI acceleration features like DLSS.

Q: Are there measured FPS results for this exact combination?

A: No, there are no measured FPS data for this CPU-GPU pairing, so all gaming performance estimates are based on benchmark scores.

# Build Overview

This is a laptop-class configuration pairing the AMD Ryzen AI Embedded P164i processor with the NVIDIA GeForce RTX 4080 Mobile GPU. The CPU is an 8-core, 16-thread mobile processor from the Ryzen AI Embedded series, based on the Gorgon Point codename and Zen 5 / Zen 5c generation, manufactured on TSMC's 4 nm process. The GPU is a GeForce 40-series mobile part based on Ada Lovelace architecture.

The system's combined percentile of 66 places it above the median for all CPU-GPU pairings. The GPU's 81st percentile ranking is the primary driver of the system's overall performance tier, while the CPU's 50th percentile ranking is average. This pairing is best characterized as a GPU-first laptop: it prioritizes graphics and compute performance over CPU throughput, making it suitable for gaming, rendering, and GPU-accelerated workloads.

The build class is laptop, meaning both the CPU and GPU are soldered and not user-upgradeable. The CPU uses AMD Socket FP8, and the GPU connects via PCIe 4.0 x16 with no external power connectors. The system's 12 GB GDDR6 VRAM, 16 threads, and 24.72 TFLOPS GPU compute performance define its capabilities. This is a mid-to-high-tier mobile workstation or gaming laptop configuration.

# CPU Analysis

The AMD Ryzen AI Embedded P164i is an 8-core, 16-thread processor with a base clock of 2.00 GHz and a boost clock of 5.00 GHz. It is manufactured on TSMC's 4 nm process with a die size of 233 mm² and is part of the Gorgon Point codename within the Ryzen AI Embedded series, which uses the Zen 5 / Zen 5c generation architecture. The TDP is 28 W, making it an efficiency-focused mobile processor.

Cache configuration includes 80 KB of L1 per core, 1 MB of L2 per core, and 8 MB of L3 total. Memory support includes DDR5 and LPDDR5X in dual-channel configuration with 89.6 GB/s bandwidth, and ECC memory is supported. The CPU provides PCIe Gen 4 with 16 lanes and includes integrated Radeon 880M graphics. The socket is AMD Socket FP8, and the production status is active with a release date of 2026-03-08.

The CPU has no recorded benchmark scores and an average benchmark score of 0, with no nearest rivals listed. Its 50th percentile ranking indicates average performance among all CPUs. For real workloads, the 8 cores and 16 threads handle multi-threaded tasks competently, while the 5.00 GHz boost clock ensures responsive single-threaded performance. The 28 W TDP limits sustained performance under heavy loads but enables efficient operation for battery-powered use.

The 4 nm process and 233 mm² die size suggest modern efficiency, and the 8 MB L3 cache is adequate for the core count. The dual-channel memory bus with 89.6 GB/s is sufficient for most applications but not exceptional. The integrated Radeon 880M provides a fallback for display output and light graphics tasks. The CPU's performance is best described as solidly mainstream: it will not bottleneck the GPU in most scenarios but does not boost the system's overall capability.