SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI Embedded P132 + NVIDIA GeForce RTX 4080 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
95%
PROCESSOR

AMD Ryzen AI Embedded P132

37,804 Benchmark Score
Top 9% 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
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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 AMD Ryzen AI Embedded P132 and NVIDIA GeForce RTX 4080 Mobile pairing is a high-end laptop configuration that sits at the 84th combined percentile across all CPU and GPU pairings. The CPU is a 6-core, 12-thread processor based on the Zen 5 / Zen 5c architecture (codenamed Gorgon Point), built on TSMC's 4nm process. It operates with a base clock of 2.00 GHz and a boost clock of 4.50 GHz within a 28W TDP envelope. The GPU is the Ada Lovelace-based RTX 4080 Mobile, featuring the AD104 chip on a 5nm process with 35,800 million transistors and a die size of 294 mm². This is a mobile-first configuration, as indicated by the build class, designed for laptops where power efficiency and thermal management are critical.

CPU Analysis

The Ryzen AI Embedded P132 delivers a balanced computing package that punches well above its modest core count. With 6 cores and 12 threads, it is not a high-core-count workstation part, but its architecture and clock speeds make it highly effective for single-threaded and moderately threaded workloads. The 4.50 GHz boost clock is the key driver here, allowing the processor to excel in tasks that depend on raw per-core speed. The cache hierarchy includes 80 KB of L1 per core, 1 MB of L2 per core, and 4 MB of shared L3 cache, which is sufficient for feeding the cores without excessive latency.

The benchmark scores reinforce this profile. The single-thread score of 3713 places it in the upper tier of mobile processors, and its multithread score of 19262 shows that the 12 threads are utilized efficiently. The processor's average benchmark score is 37804, which places it at the 86th percentile of all CPUs. When compared to its nearest rivals, the data shows a remarkably tight cluster: it is 0.1% ahead of the AMD Ryzen AI 5 PRO 435, 0.1% behind the Intel Core 5 211E, and 0.3% behind both the AMD Ryzen AI 9 HX 370 and the Intel Core i9-14901E. These deltas are negligible, indicating that the P132 is essentially performance-equivalent to those parts in aggregate, despite having fewer cores than the Ryzen AI 9 HX 370.

For real workloads, this means the CPU is a capable partner for gaming, where high single-thread performance is paramount, and for everyday productivity tasks. The integer math score of 62249 and floating-point math score of 42248 suggest strong arithmetic throughput. The extended instructions score of 16520 indicates that the CPU handles modern SIMD instructions well, which is relevant for encryption, media encoding, and scientific computing. The data compression score of 230437 is notably high, suggesting that file archiving and decompression tasks will be handled with ease. Conversely, the prime number finding score of 57 is low, which is typical for a processor with a smaller core count relative to server-class parts, but this workload is rarely a bottleneck in consumer applications.

Balance and Bottleneck

In this configuration, the balance between CPU and GPU is skewed toward the GPU in most scenarios, but the CPU is not a weak link. The CPU's 86th percentile ranking versus the GPU's 81st percentile means the processor is actually slightly stronger relative to its peers than the graphics card is. This is an unusual but favorable situation for gaming, as it reduces the likelihood of CPU-bound frame rate caps in most titles. The CPU's high single-thread score of 3713 ensures that game logic, physics calculations, and draw call processing are handled without becoming the primary constraint.

The GPU's compute performance, as measured by a Passmark G3D score of 24926 and a compute score of 11191, is substantial, but it is the CPU that provides the headroom for consistent frame pacing. In workloads that are heavily multithreaded, such as video encoding or 3D rendering, the CPU's 12 threads may become the limiting factor before the GPU does, especially when comparing to higher-core-count rivals like the AMD Ryzen AI 9 HX 370, which has more cores but scores nearly identically in aggregate. This suggests that the P132's efficiency is high, but its absolute throughput ceiling is reachable sooner than the GPU's.

The memory subsystem also plays a role in balance. The CPU supports dual-channel DDR5 and LPDDR5X memory with a bandwidth of 89.6 GB/s. This is adequate for feeding the CPU's cores, but it is far below the GPU's dedicated 432.0 GB/s of memory bandwidth. In games, the CPU and GPU share system memory for assets, but the discrete GPU's VRAM handles the heavy lifting, so the CPU's memory bandwidth is unlikely to be a bottleneck except in specific CPU-bound scenarios. Overall, the data indicates that the CPU is well-matched to the GPU, with neither component consistently dominating the other in a way that would waste the other's potential.

Benchmark Performance

The benchmark data provides a clear picture of this configuration's capabilities. The CPU's average benchmark score is 37804, placing it at the 86th percentile of all CPUs. Its nearest rival is the Intel Core 5 211E with an average score of 37829, a difference of only 0.1%, which is effectively a statistical tie. The AMD Ryzen AI 9 HX 370 scores 37904, just 0.3% higher, despite likely having a different core configuration, underscoring that the P132's performance is competitive with more expensive or higher-tier parts.

On the GPU side, the RTX 4080 Mobile achieves an average benchmark score of 38135, placing it at the 81st percentile of all GPUs. Its nearest rival is the NVIDIA GeForce MX570 with a score of 38299, a 0.4% difference, though the MX570 is a vastly different product class. More tellingly, it is 1.3% ahead of the NVIDIA GeForce RTX 4070 (desktop) and 1.3% ahead of the NVIDIA Tesla P4. The GPU's Geekbench scores are strong, with an OpenCL score of 159575 and a Vulkan score of 145807, indicating excellent compute performance for both general-purpose and graphics workloads. The Passmark DirectX 12 score is 96, which is a low absolute number but is a synthetic metric that does not directly translate to real-world gaming performance.

The combined percentile of 84 places this pairing in the upper echelon of laptop configurations. The CPU and GPU scores are closely aligned, which means the system is well-rounded rather than lopsided. There is no measured FPS data for this exact combination, so all frame rate expectations must be inferred from these benchmark scores. The data suggests that the CPU will not hold back the GPU in most gaming scenarios, and the GPU's compute capabilities will excel in rendering and content creation tasks.

FAQ

Q: How does the CPU compare to its nearest rival, the Intel Core 5 211E?

A: The AMD Ryzen AI Embedded P132 scores 37804 on average, which is 0.1% lower than the Intel Core 5 211E's score of 37829. This means they are effectively performance-equivalent in aggregate benchmarks.

Q: Is the RTX 4080 Mobile faster than the desktop RTX 4070?

A: Yes, based on average benchmark scores. The RTX 4080 Mobile scores 38135, which is 1.3% higher than the RTX 4070's score of 37648. This is a small but measurable advantage.

Q: What is the memory bandwidth of the GPU and how does it compare to the CPU's?

A: The GPU has a memory bandwidth of 432.0 GB/s using a 192-bit bus with 12 GB of GDDR6 memory. The CPU has a system memory bandwidth of 89.6 GB/s over a dual-channel bus, which is typical for a mobile processor.

Q: Does the CPU support ECC memory?

A: Yes, the AMD Ryzen AI Embedded P132 supports ECC memory, which is a feature more commonly found in workstation or server-class processors and is useful for data integrity in professional workloads.

Q: What is the CPU's socket and process node?

A: The CPU uses the AMD Socket FP8 and is fabricated on TSMC's 4nm process. The GPU uses a different socket (IGP form factor) and is on TSMC's 5nm process.

Q: How does the GPU's ray tracing performance compare to its overall compute?

A: The GPU has 58 RT cores and 232 tensor cores. Its Passmark GPU compute score is 11191, while its G3D score is 24926. The ray tracing hardware is present, but without measured FPS data, the specific impact on ray-traced games is an estimate based on these compute scores.

Q: Is the CPU unlocked for overclocking?

A: No, the multiplier is not unlocked, so overclocking is not supported. The boost clock of 4.50 GHz is the maximum rated speed.

Gaming Performance

No measured FPS rows exist for this exact combination — the FACT PACK contains no measuredFps data. Therefore, all frame rate figures discussed here are estimates derived from the CPU and GPU benchmark scores, not from direct game testing. The data should be treated as a projection of relative performance rather than a definitive result.

Based on the GPU's Passmark G3D score of 24926 and the CPU's single-thread score of 3713, this pairing is well-suited for high-refresh-rate gaming at 1080p and 1440p resolutions. The GPU's 12 GB of GDDR6 memory with a 192-bit bus and 432.0 GB/s bandwidth is ample for modern game textures at these resolutions. The GPU's 7424 shading units and 232 texture mapping units provide substantial fill rate, as indicated by a texture rate of 386.3 GTexel/s and a pixel rate of 133.2 GPixel/s.

For esports titles, the CPU's high single-thread performance should allow frame rates to scale well above 144 FPS at 1080p with competitive settings, as these games are often CPU-bound. For AAA titles at 1440p, the GPU's compute power will drive frame rates in the high refresh range, likely exceeding 100 FPS on average with high settings. At 4K, the GPU's 12 GB VRAM and 432.0 GB/s bandwidth will be sufficient, but frame rates will be lower, and the GPU will become the primary bottleneck. The CPU's 6 cores are not a limitation for gaming, as most titles use fewer than 8 threads effectively, and the 4.50 GHz boost clock ensures the CPU can keep up with the GPU's output.

The absence of measured FPS data means these estimates carry uncertainty, but the benchmark scores indicate that this is a top-tier gaming laptop configuration. The GPU's position at the 81st percentile and the CPU's at the 86th percentile suggest that the pairing will not exhibit significant bottlenecking in typical gaming workloads, allowing the GPU to operate near its full potential.

Usage Scenarios

High-refresh gaming: This configuration excels here. The CPU's single-thread score of 3713 and the GPU's G3D score of 24926 combine to support frame rates well above 144 FPS in many titles at 1080p and 1440p, assuming the game is not overly demanding on VRAM. The 12 GB VRAM is sufficient for most modern games at these resolutions.

Streaming: The CPU's 12 threads are adequate for encoding a stream while gaming, but the GPU's tensor cores and NVENC (not explicitly benchmarked, but inferred from the Ada Lovelace architecture) provide a dedicated path for video encoding. The CPU's extended instructions score of 16520 suggests it can handle software encoding for lower bitrates, but using the GPU for encoding is recommended to free CPU resources for game logic.

Video editing: The GPU's compute score of 11191 and OpenCL score of 159575 accelerate rendering and effects in editing software. The CPU's multithread score of 19262 helps with timeline scrubbing and export encoding, though a higher-core-count CPU would be faster for long exports. The 12 GB VRAM is beneficial for previewing color-graded footage.

3D rendering: The GPU is the star here, with 7424 shading units and 58 RT cores. The FP32 performance of 24.72 TFLOPS provides fast viewport performance and GPU-accelerated rendering. The CPU's 6 cores may slow down CPU-based rendering tasks, but hybrid rendering pipelines that offload to the GPU will see strong performance.

Software development: The CPU's single-thread performance is excellent for compilation tasks that are often single-threaded, and the 12 threads handle parallel builds reasonably well. The ECC support adds stability for long-running build processes. The GPU's compute power is largely unused in this scenario but available for CUDA-accelerated workloads.

Student and office work: This is overkill for most student tasks, but the CPU's high single-thread score makes word processing, spreadsheet calculations, and web browsing feel snappy. The 28W TDP of the CPU and 110W TDP of the GPU mean the laptop will need adequate cooling, but for short bursts of productivity, the performance is excellent.

GPU Analysis

The NVIDIA GeForce RTX 4080 Mobile is a high-end mobile graphics solution built on the Ada Lovelace architecture. It uses the AD104 chip with 35,800 million transistors on a 294 mm² die, manufactured on TSMC's 5nm process. The GPU features 7424 shading units, 232 texture mapping units, and 80 raster output units. It has 58 RT cores for ray tracing and 232 tensor cores for AI acceleration, which support DLSS and other deep learning-based features.

The memory subsystem consists of 12 GB of GDDR6 memory on a 192-bit bus, yielding a bandwidth of 432.0 GB/s. This is a substantial amount of VRAM for a mobile GPU, allowing for high-resolution textures and large datasets. The memory clock is 2250 MHz with an effective data rate of 18 Gbps. The GPU's base clock is 1290 MHz with a boost clock of 1665 MHz, which is conservative for a mobile part to manage thermals within the 110W TDP.

The compute performance is strong, with FP32 and FP16 throughput both rated at 24.72 TFLOPS (1:1 for FP16). The pixel rate is 133.2 GPixel/s and the texture rate is 386.3 GTexel/s. These numbers indicate that the GPU is capable of handling high-resolution rendering with complex textures. The benchmark scores confirm this, with a Passmark G3D score of 24926 and a compute score of 11191. The Geekbench scores of 159575 (OpenCL) and 145807 (Vulkan) show excellent cross-API compute performance.

For rendering workloads, the GPU's 12 GB VRAM is a significant advantage, allowing larger scenes and higher-resolution textures to be loaded without swapping to system memory. The tensor cores enable DLSS, which can improve frame rates in supported games without a significant quality loss. The RT cores handle ray-traced effects, though the actual performance will depend on the game's implementation and resolution. The GPU's average benchmark score of 38135 places it at the 81st percentile, making it a top-tier mobile GPU, though it is marginally outperformed by the RTX 5080 Mobile (0.6% higher score) and the MX570 (0.4% higher), the latter being a statistical anomaly given its vastly different market position.

Build Overview

This is a laptop-class build, as indicated by the build class field. It pairs the AMD Ryzen AI Embedded P132 with the NVIDIA GeForce RTX 4080 Mobile, creating a high-performance mobile workstation and gaming system. The CPU is a 6-core/12-thread part with a 28W TDP, designed for power efficiency in thin and light laptops. The GPU is a 110W TDP mobile part, which requires a larger chassis with robust cooling to sustain performance.

The combined percentile of 84 places this configuration in the upper tier of all laptop builds. The CPU's 86th percentile and GPU's 81st percentile are closely matched, indicating a balanced system where neither component is disproportionately stronger than the other. This is a laptop for users who need desktop-level performance in a portable form factor, suitable for gaming, content creation, and professional applications. The CPU's ECC support and the GPU's compute capabilities make it viable for workstation tasks, while the high single-thread performance ensures responsive daily use. The 12 GB VRAM on the GPU is a future-proofing measure, ensuring compatibility with upcoming games and applications that demand larger memory pools.

Who Should Build It

Gamers targeting 1440p high-refresh monitors: This is the primary audience. The GPU's 12 GB VRAM and the CPU's high single-thread score will deliver smooth, high-FPS gameplay in most titles, and the RTX 4080 Mobile's tensor cores enable DLSS for additional performance headroom.

Content creators working in video and 3D: The GPU's compute power (FP32 at 24.72 TFLOPS) accelerates rendering and effects, while the 12 GB VRAM handles large projects. The CPU's 12 threads are sufficient for multitasking, though heavy CPU rendering will be slower than with higher-core-count alternatives.

Developers who use CUDA-accelerated tools: The GPU's 232 tensor cores and 7424 shading units provide substantial compute throughput for machine learning, data processing, and scientific simulations. The CPU's ECC support adds reliability for long-running computations.

Students and professionals needing portability with power: The laptop form factor makes it easy to move between classes or offices, while the CPU's strong single-thread performance handles everyday tasks with ease. The GPU is overkill for office work, but it provides headroom for occasional gaming or creative projects.

Small business workstations: For tasks like CAD, financial modeling, or data analysis, this configuration offers the performance to handle complex workloads without the need for a desktop. The ECC memory support on the CPU is a differentiator for data integrity in business-critical applications. The system's 84th combined percentile ensures it will remain relevant for several years of demanding software.