SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI 9 PRO 465 + NVIDIA Quadro RTX 5000 Mobile Refresh

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

85 / 100
HIGH-END

Power Build

Top 15% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
GPU Bottleneck
CPU
96%
VS
GPU
74%

Your GPU is limiting system performance. Consider upgrading to a more powerful graphics card to better utilize your CPU.

PROCESSOR

AMD Ryzen AI 9 PRO 465

62,498 Benchmark Score
Top 4% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA Quadro RTX 5000 Mobile Refresh

0 Benchmark Score
Top 26% 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

Strong Performance

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

Bottleneck Detected

GPU 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 AMD Ryzen AI 9 PRO 465 and NVIDIA Quadro RTX 5000 Mobile Refresh pairing occupies a distinct position in the laptop market, combining a modern 10-core Zen 5 processor with a 16 GB professional Turing GPU. The combined percentile of 72 places this build above most systems in the database, though the GPU’s 50th percentile and the CPU’s 93rd percentile reveal a significant performance asymmetry. Benchmark data indicates the processor is the dominant component, while the graphics card, despite its professional pedigree, operates at the median of all GPUs. This analysis interprets the available scores, percentiles, and architectural details to define what this pairing delivers for specific workloads, where its limitations lie, and who should consider it.

CPU Analysis

The AMD Ryzen AI 9 PRO 465 is a 10-core, 20-thread processor built on the Zen 5 architecture, codenamed Gorgon Point, and manufactured on a 4 nm process by TSMC. It belongs to the Ryzen AI PRO 400 generation, which combines Zen 5 and Zen 5c cores, and features a base clock of 2.00 GHz with a boost clock of 5.00 GHz. The thermal design power is 28 W, which is notably low for a processor with this core count and boost capability, indicating a focus on efficiency for mobile platforms. The cache hierarchy includes 80 KB of L1 per core, 1 MB of L2 per core, and 16 MB of shared L3 cache, providing a solid foundation for both latency-sensitive and throughput-oriented tasks.

Benchmark results show a single-thread score of 4168 and a multithread score of 31485 in PassMark tests. The single-thread figure places this processor in the upper echelon of mobile CPUs, reflecting the high 5.00 GHz boost clock and the IPC improvements of Zen 5. The multithread score of 31485 is equally impressive given the 28 W TDP, suggesting that the hybrid core arrangement (Zen 5 and Zen 5c) effectively balances performance and power consumption. The processor’s percentile versus all CPUs is 93, meaning it outperforms 93% of all processors in the database. This is a strong result for a mobile part, positioning it above many desktop processors from previous generations.

Comparative data from nearest rivals reinforces this standing. The Intel Core Ultra 7 255HX has an average score of 62738, which is 0.4% higher than the Ryzen AI 9 PRO 465’s average benchmark score of 62498. Similarly, the AMD Ryzen AI Embedded P185 scores 62839, a 0.5% advantage, and the Intel Core i7-13790F scores 63080, a 0.9% advantage. However, the Ryzen AI 9 PRO 465 leads the Intel Core i9-13900KF by 1.1%, with that rival scoring 61841. These deltas are all within a narrow 2% band, indicating that the Ryzen AI 9 PRO 465 is competitive with high-end desktop processors from recent generations, despite its mobile form factor and lower TDP. The data shows that in multithreaded workloads, this CPU trades blows with desktop i9 and i7 parts, which is remarkable for a 28 W mobile chip.

In specific workloads, the PassMark sub-scores provide granular insight. The integer math score of 107173 and floating-point math score of 66824 indicate strong general-purpose computation, suitable for software compilation, spreadsheet analysis, and scientific computing. The data encryption score of 19308 and extended instructions score of 26441 suggest capable cryptography and vectorized workloads, though not class-leading. The find prime numbers score of 126 is low in absolute terms but reflects the test’s single-threaded nature and is consistent with the CPU’s overall single-thread performance. The physics score of 1747 is moderate, which may slightly affect gaming physics calculations, but the floating-point and integer scores compensate in most real-world scenarios. The random string sorting score of 40860 and data compression score of 385174 indicate strong performance in database operations and file archiving tasks. For a mobile workstation, this CPU provides ample headroom for productivity applications, virtualization, and development workloads, where the combination of high single-thread speed and 20 threads is directly beneficial.

Benchmark Performance

The CPU’s average benchmark score is 62498, with a percentile of 93 versus all CPUs. This places it in the top 7% of all processors tested, a position typically occupied by high-end desktop parts. The nearest rival, the Intel Core Ultra 7 255HX, scores 62738, representing a 0.4% performance advantage for Intel. The AMD Ryzen AI Embedded P185 scores 62839, a 0.5% lead, and the Intel Core i7-13790F scores 63080, a 0.9% lead. Conversely, the Intel Core i9-13900KF scores 61841, giving the Ryzen AI 9 PRO 465 a 1.1% advantage. These small deltas mean that in practical terms, the Ryzen AI 9 PRO 465 performs at the same level as these desktop rivals, with differences well within run-to-run variance. The data shows that this mobile CPU is not merely competitive with desktop parts; it is essentially equivalent in average benchmark score to several flagship and high-end desktop processors from Intel and AMD.

The GPU, NVIDIA Quadro RTX 5000 Mobile Refresh, has a percentile of 50 versus all GPUs, with an average benchmark score of 0 (as no benchmark rows are provided). This 50th percentile means the GPU performs at the median of all GPUs in the database. It is not a top-tier performer by any stretch; rather, it sits exactly in the middle of the distribution. The CPU’s 93rd percentile versus the GPU’s 50th percentile creates a combined percentile of 72, which reflects the CPU’s dominance in the overall system score. This asymmetry is critical: the processor is a high-end part, while the GPU is a mid-range part in performance terms, despite its professional branding and 16 GB VRAM.

When interpreting the combined picture, the CPU’s strong multithread and single-thread scores (31485 and 4168 respectively) indicate that the system will excel in CPU-bound tasks such as code compilation, 3D modeling (pre-render), video encoding, and multi-tasking. The GPU’s median percentile suggests it will handle GPU-accelerated tasks adequately but not exceptionally. For rendering workloads that rely heavily on GPU compute, the Quadro RTX 5000 Mobile Refresh’s 9.400 TFLOPS FP32 performance is moderate, and its 50th percentile confirms it will not compete with high-end consumer GPUs. However, for professional applications that leverage CUDA or RT cores, the 384 tensor cores and 48 RT cores provide specialized capabilities that raw FP32 throughput does not fully express. The benchmark data, however, does not include GPU scores, so the analysis must rely on the percentile and architectural features.

Balance and Bottleneck

The data clearly indicates that the CPU is the stronger component, with a 93rd percentile versus the GPU’s 50th percentile. This creates a situation where the CPU will frequently outpace the GPU in workloads that are not heavily GPU-accelerated. In CPU-bound tasks such as data compression (score 385174), integer math (107173), and random string sorting (40860), the processor operates at a high level, and the GPU has minimal involvement. Conversely, in GPU-bound workloads like 3D rendering, video encoding (with NVENC), or machine learning inference, the GPU’s median performance will become the limiting factor, preventing the CPU from reaching its full potential.

The lack of measured FPS data for this pairing means that gaming performance must be estimated from the benchmark scores. The CPU’s single-thread score of 4168 is strong enough to avoid being a bottleneck in most games, which typically rely on one or a few cores. However, the GPU’s 50th percentile suggests that at higher resolutions and graphical settings, the GPU will be the primary constraint. At 1080p with lower settings, the CPU may push frame rates higher, but the GPU will cap performance at its own limit. At 1440p or 4K, the GPU will become the definitive bottleneck, as pixel throughput and memory bandwidth (448.0 GB/s) will be taxed more heavily. The FPS scaling would show diminishing returns as resolution increases, with the CPU’s advantage becoming less relevant.

The TDP values also inform the bottleneck analysis. The CPU has a 28 W TDP, while the GPU has a 110 W TDP, meaning the GPU consumes nearly four times the power. This suggests that in sustained workloads, the GPU will generate more heat and may throttle earlier, further limiting its performance. The CPU’s low TDP allows it to maintain boost clocks (5.00 GHz) for longer periods, widening the performance gap between the two components. In professional applications that use both CPU and GPU (e.g., hybrid rendering), the system will balance the two, but the GPU’s median percentile means it will not scale performance as well as the CPU when both are under load. The data shows that this is a CPU-first build, with the GPU providing adequate but not exceptional acceleration.

FAQ

Q: What is the processor’s single-thread performance relative to its rivals?

A: The AMD Ryzen AI 9 PRO 465 scores 4168 in single-thread PassMark tests. Its average benchmark score is 62498, which is 0.4% lower than the Intel Core Ultra 7 255HX (62738) and 1.1% higher than the Intel Core i9-13900KF (61841). The single-thread score indicates strong performance for lightly threaded applications.

Q: How much VRAM does the GPU have, and what is its memory bandwidth?

A: The NVIDIA Quadro RTX 5000 Mobile Refresh has 16 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 448.0 GB/s. The memory operates at 1750 MHz with 14 Gbps effective speed.

Q: Does the CPU support ECC memory?

A: No, the AMD Ryzen AI 9 PRO 465 does not support ECC memory. It supports DDR5 and LPDDR5X memory in a dual-channel configuration, with a memory bandwidth of 89.6 GB/s.

Q: What is the GPU’s architecture and process node?

A: The GPU is based on the Turing architecture, specifically the TU104B chip, and is manufactured on a 12 nm process by TSMC. It has 13,600 million transistors on a 545 mm² die, with a transistor density of 25.0M per mm².

Q: What is the CPU’s thermal design power?

A: The CPU has a TDP of 28 W, which is low for a 10-core, 20-thread processor. This allows for efficient operation in thin-and-light laptops while still providing high boost clocks up to 5.00 GHz.

Q: What API support does the GPU offer?

A: The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This ensures compatibility with modern gaming and professional applications that require these APIs.

Q: How does the CPU’s multithread score compare to its nearest rival?

A: The CPU’s multithread score is 31485, and its average benchmark score is 62498. The nearest rival, Intel Core Ultra 7 255HX, has an average score of 62738, a 0.4% difference. The Intel Core i9-13900KF scores 61841, which is 1.1% lower than the Ryzen AI 9 PRO 465.

Upgrade Path and Platform

The CPU uses the AMD Socket FP8, which is a mobile-specific socket. The platform supports DDR5 and LPDDR5X memory in a dual-channel configuration, with a memory bandwidth of 89.6 GB/s. The CPU provides PCIe Gen 4 with 16 lanes (CPU only), which is sufficient for a discrete GPU and NVMe storage. The integrated graphics is the Radeon 890M, which can serve as a fallback for display output or light GPU tasks when the discrete GPU is not in use. The production status is Active, meaning the CPU is currently available, with a release date of 2026-01-04.

The GPU uses a PCIe 3.0 x16 bus interface, which is one generation older than the CPU’s PCIe Gen 4 support. This is not a bottleneck for most workloads, as PCIe 3.0 x16 provides sufficient bandwidth for the GPU’s 448.0 GB/s memory bandwidth. The GPU’s TDP is 110 W, and it has no power connectors, as it is designed for IGP (integrated graphics processor) slots in laptops. The suggested PSU is null, which is expected for a mobile GPU that draws power from the laptop’s internal power delivery system. The GPU is end-of-life, with a release date of 2020-06-07, and its successor is Ampere-MW.

For a sensible next upgrade, the socket FP8 platform is not user-upgradable in the traditional sense, as it is soldered in most laptops. However, the memory can be upgraded if the laptop supports SODIMM DDR5, though LPDDR5X is often soldered. The GPU is also soldered and cannot be replaced. Therefore, the upgrade path is limited to increasing RAM (if supported) or replacing the entire laptop. Given that the CPU is Active and performs at the 93rd percentile, it will remain relevant for several years. The GPU, being end-of-life and at the 50th percentile, is the component most likely to feel outdated. A future upgrade would involve moving to a newer laptop with a more powerful GPU, rather than upgrading individual components.

GPU Analysis

The NVIDIA Quadro RTX 5000 Mobile Refresh is a professional mobile GPU based on the Turing architecture, with the TU104B chip manufactured on a 12 nm process. It has 13,600 million transistors on a 545 mm² die, with a transistor density of 25.0M per mm². The GPU features 3072 shading units, 192 texture mapping units, and 64 raster operations pipelines. It includes 48 RT cores for ray tracing and 384 tensor cores for AI acceleration. The base clock is 1035 MHz, with a boost clock of 1530 MHz. The memory subsystem consists of 16 GB of GDDR6 on a 256-bit bus, yielding a bandwidth of 448.0 GB/s, with memory clocked at 1750 MHz (14 Gbps effective).

The GPU’s compute capabilities include a pixel rate of 97.92 GPixel/s and a texture rate of 293.8 GTexel/s. Its FP32 performance is 9.400 TFLOPS, and FP16 performance is 18.80 TFLOPS (2:1 ratio). These figures indicate that the GPU is capable of handling professional rendering, CAD, and compute workloads, but its 50th percentile ranking suggests it is not a high-performance part relative to the broader GPU market. The 16 GB VRAM is a key advantage for large datasets and high-resolution textures, which is common in professional applications like 3D modeling, video editing, and scientific visualization. The 448.0 GB/s bandwidth supports these workloads, though it is lower than many newer GPUs.

The RT cores and tensor cores provide hardware acceleration for ray tracing and deep learning inference. In rendering, the RT cores can accelerate ray-traced scenes, while the tensor cores can speed up denoising and AI-based upscaling. The DirectX 12 Ultimate support ensures compatibility with the latest gaming and professional APIs. The GPU’s TDP is 110 W, which is moderate for a mobile GPU, and it has no power connectors, relying on the laptop’s power delivery. The display outputs are listed as "Portable Device Dependent," meaning they vary by laptop model. The GPU’s production status is end-of-life, with a release date of 2020-06-07, indicating it is an older design.

For rendering workloads, the GPU’s 9.400 TFLOPS FP32 is adequate for entry-level to mid-range tasks, but it will struggle with complex scenes or high-resolution outputs compared to newer GPUs. The 16 GB VRAM allows for larger textures and models, which is beneficial for professional use. The 384 tensor cores enable AI-accelerated features in applications like Adobe Premiere Pro (for scene cut detection) and DaVinci Resolve (for AI-based tools). However, the 50th percentile indicates that for raw gaming performance, this GPU is average, and for professional compute, it is similarly positioned.

Who Should Build It

This build targets users who prioritize CPU performance for productivity and professional applications, while requiring a GPU with substantial VRAM for specific tasks. Gamers at 1080p with medium to high settings will find the GPU adequate, but those seeking high frame rates at 1440p or 4K will be disappointed, as the GPU’s 50th percentile limits performance. Content creators who work with large files—such as video editors, 3D artists, and graphic designers—will benefit from the CPU’s 20 threads and the GPU’s 16 GB VRAM, which is useful for texture-heavy scenes and multi-layer compositions. The CPU’s 93rd percentile ensures fast export times and smooth multitasking.

Developers and data scientists will appreciate the CPU’s strong integer and floating-point scores (107173 and 66824), which are critical for code compilation, unit testing, and data processing. The 20 threads allow for parallel workloads, and the 28 W TDP means the laptop can sustain performance without excessive heat. Students in engineering, computer science, or design programs will find this build suitable for coursework, as it handles CAD software (which often uses GPU acceleration) and programming tools effectively. Small business workstations that run financial modeling, database management, or moderate simulation software will also benefit, with the CPU’s data compression score of 385174 indicating strong database performance.

The GPU’s professional Quadro branding suggests it is aimed at ISV-certified applications, where drivers are optimized for stability in tools like AutoCAD, SolidWorks, and Maya. The 16 GB VRAM is particularly valuable for large assemblies and high-resolution textures. However, for gamers, this GPU is not a high-end choice, and the build is better suited for workstations than gaming rigs. The combined percentile of 72 reflects a system that is above average overall, but the GPU holds it back from being a top-tier gaming machine. Users who require both high CPU and GPU performance should look elsewhere, but for CPU-heavy workloads with occasional GPU acceleration, this is a solid choice.

Build Overview

This build pairs the AMD Ryzen AI 9 PRO 465 (10 cores, 20 threads, Zen 5 architecture) with the NVIDIA Quadro RTX 5000 Mobile Refresh (16 GB GDDR6, Turing architecture) in a laptop form factor. The CPU’s 93rd percentile versus all CPUs is exceptional, while the GPU’s 50th percentile is average, resulting in a combined percentile of 72. The system is a laptop-class build, as indicated by the buildClass field, and is designed for mobile professional use. The CPU’s average benchmark score of 62498 places it near desktop rivals like the Intel Core i9-13900KF (61841), which it leads by 1.1%, and the Intel Core Ultra 7 255HX (62738), which leads it by 0.4%.

The overall tier, based on the combined percentile of 72, is above median but not top-tier. The CPU is the star of this pairing, offering performance that rivals desktop parts, while the GPU provides professional features like 48 RT cores, 384 tensor cores, and 16 GB VRAM, but at a median performance level. This is a workstation-oriented laptop for users who need strong CPU throughput for productivity, development, and content creation, with a GPU that can handle professional rendering and AI tasks adequately. The data shows that the CPU will rarely be the bottleneck, but the GPU will limit performance in graphics-intensive workloads. For users who understand this trade-off, the build offers a balanced platform for mobile work.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination, as the FACT PACK contains no measuredFpsUltraByGame entries and dataIsMeasured is false. Therefore, all frame rate discussion is estimated from the benchmark scores and percentiles. The CPU’s single-thread score of 4168 is strong and will not bottleneck most games, even at high refresh rates. The GPU’s 50th percentile, however, indicates that it performs at the median of all GPUs, which translates to playable but not high-end gaming performance.

At 1080p with ultra settings, the GPU is likely to deliver average frame rates in the 60-80 FPS range for modern titles, based on its 9.400 TFLOPS FP32 and 448.0 GB/s bandwidth. At 1440p, frame rates would drop to the 40-60 FPS range, and at 4K, the GPU would struggle to maintain 30 FPS in demanding titles. The 16 GB VRAM is sufficient for high-resolution textures, but the GPU’s compute power limits overall performance. The CPU’s high boost clock (5.00 GHz) helps in CPU-bound games, but the GPU will cap frame rates in most scenarios. For esports titles like Counter-Strike or Valorant, the GPU could push higher frame rates, but for AAA games, expect medium to high settings at 1080p for smooth gameplay. The estimates suggest this build is not designed for gaming, but it can handle casual gaming at modest resolutions and settings.