SYSTEM ANALYZER

Rate My PC: AMD Ryzen 9 5900HX + NVIDIA GeForce RTX 4080 Mobile

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

91 / 100
ULTIMATE READY

Apex Performer

Top 9% 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
86%
VS
GPU
95%
PROCESSOR

AMD Ryzen 9 5900HX

24,822 Benchmark Score
Top 14% 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

# Balance and Bottleneck

The AMD Ryzen 9 5900HX paired with the NVIDIA GeForce RTX 4080 Mobile presents a distinctive profile where the CPU and GPU occupy notably different percentile positions. The CPU sits at the 77th percentile among all CPUs, while the GPU reaches the 81st percentile among all GPUs, with the combined system landing at the 79th percentile. This narrow spread suggests a relatively balanced pairing, though the data reveals where each component governs performance.

The CPU’s multithreaded performance shows clear scaling patterns. In 3DMark tests, the 16-thread score of 6490 is nearly identical to the max-thread score of 6487, indicating that the 8-core, 16-thread configuration is fully utilized at high thread counts. The 8-thread score of 5406 represents 83.3% of the max-thread result, while the 4-thread score of 3285 drops to 50.6% and the 2-thread score of 1720 falls to 26.5%. This scaling curve demonstrates that the processor delivers nearly linear gains up to 8 threads, then plateaus — a hallmark of a well-fed multi-core design that can handle heavily threaded workloads without significant contention.

Single-thread performance tells a different story. The 3DMark single-thread score of 881 is modest relative to the multi-thread results, and the Cinebench R23 single-core score of 1488 sits far below the multicore score of 12845, which is 8.6 times higher. In PassMark, the single-thread score of 3178 contrasts with the multithread score of 22326, a 7.0x multiplier. These ratios indicate that while the CPU scales well across cores, its per-core throughput is not exceptional — meaning lightly threaded tasks like older games or single-threaded productivity apps will see less benefit from this processor than heavily parallel workloads.

The GPU’s compute characteristics reinforce this balance. With 7424 shading units, 232 tensor cores, and 58 RT cores, the RTX 4080 Mobile is built for parallel throughput. Its PassMark G3D score of 24926 and Geekbench OpenCL score of 159575 show strong raw compute, but the DirectX 11 score of 244 versus the DirectX 12 score of 96 reveals that older API paths are not the primary strength. The GPU’s 12 GB GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth provides ample data throughput for modern workloads, but the bandwidth is not exceptional for the class, suggesting that memory-bound scenarios could throttle the GPU.

The bottleneck analysis points to the CPU in gaming at high frame rates. At 1080p and 1440p, where the GPU can render frames quickly, the CPU’s single-thread limits become the constraint — the 3DMark 2-thread score of 1720 is particularly telling, as many game engines rely on 2-4 primary threads. Conversely, at 4K resolution, the GPU’s pixel rate of 133.2 GPixel/s and texture rate of 386.3 GTexel/s become the limiting factor, as the rendering load shifts to the graphics hardware. For content creation, the CPU’s Cinebench R23 multicore score of 12845 and PassMark multithread score of 22326 indicate strong parallel performance, but the GPU’s compute scores suggest that GPU-accelerated rendering will offload much of the work, making the pairing complementary rather than bottlenecked.

# FAQ

Q: How does the Ryzen 9 5900HX compare to its nearest CPU rivals?

A: The Ryzen 9 5900HX has an average benchmark score of 24822. It sits 0.2% behind the Intel Core 5 210H (24872), 0.4% behind the Intel Core i7-13620H (24911), 0.4% ahead of the AMD Ryzen 5 7600X3D (24728), and 0.5% ahead of the AMD Ryzen 7 5700X3D (24709). These deltas are all within 1%, meaning the CPU is effectively performance-equivalent to these rivals in aggregate benchmarks.

Q: What is the GPU’s position relative to its nearest competitors?

A: The RTX 4080 Mobile scores an average benchmark of 38135. It is 0.4% behind the NVIDIA GeForce MX570 (38299), 0.6% behind the RTX 5080 Mobile (38349), 1.3% ahead of the RTX 4070 (37648), and 1.3% ahead of the NVIDIA Tesla P4 (37628). The differences are small, placing the GPU in a tight competitive cluster.

Q: Is there measured gaming FPS data for this combination?

A: No. The FACT PACK contains no measured FPS rows for this exact CPU+GPU pairing. All FPS discussions in this analysis are estimates derived from benchmark scores, not direct measurements.

Q: What memory technology does the CPU support?

A: The Ryzen 9 5900HX supports DDR4 memory in a dual-channel configuration, providing a memory bandwidth of 68.3 GB/s. It does not support ECC memory.

Q: What are the CPU’s architectural details?

A: The CPU uses AMD’s Zen 3 architecture, codenamed Cezanne, built on TSMC’s 7 nm process. It contains 10,700 million transistors on a 180 mm² die. The cache hierarchy includes 64 KB L1 per core, 512 KB L2 per core, and 16 MB shared L3.

Q: What API support does the GPU offer?

A: The RTX 4080 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This covers modern gaming and compute APIs, though legacy DirectX paths show lower performance in PassMark tests.

Q: How does the CPU’s integrated graphics factor in?

A: The CPU includes Radeon Vega 8 integrated graphics. While this is not a substitute for the discrete RTX 4080 Mobile, it provides a fallback display output and basic compute capability when the discrete GPU is not in use.

# Benchmark Performance

The combined percentile for this system is 79, positioning it above the majority of laptop configurations. The CPU’s 77th percentile and GPU’s 81st percentile indicate that both components outperform most of their respective peers, with the GPU holding a slight edge in relative standing.

Looking at CPU benchmarks, the Cinebench R23 multicore score of 12845 and single-core score of 1488 show a 8.6x ratio, which is typical for a high-core-count mobile processor. The Geekbench multicore score of 8720 and single-core score of 1792 yield a 4.9x ratio, while PassMark multithread of 22326 versus single-thread of 3178 gives a 7.0x ratio. The 3DMark tests show progressive scaling from 1720 at 2 threads to 6490 at 16 threads, with the max-thread score of 6487 confirming that the processor does not gain additional performance beyond its 16 threads. PassMark sub-tests reveal specific strengths: data compression scores 287793, integer math scores 86735, and floating-point math scores 47556, while extended instructions hit 19488 and data encryption reaches 18188. The find prime numbers score of 53 is notably low, suggesting weakness in certain integer-heavy algorithmic tasks.

The GPU benchmarks show a different profile. PassMark G3D scores 24926, placing it well above the average GPU, while GPU compute scores 11191. Geekbench OpenCL scores 159575 and Vulkan scores 145807, indicating strong compute performance across different APIs. The DirectX sub-scores are lower: DirectX 9 at 286, DirectX 11 at 244, DirectX 10 at 157, and DirectX 12 at 96. The G2D score of 929 is modest, reflecting the GPU’s focus on 3D rather than 2D workloads.

The aggregate picture is one of consistency. The CPU and GPU both land in the upper quartile of their respective categories, with the combined system at the 79th percentile. The nearest CPU rival, the Intel Core 5 210H, scores 24872 — just 0.2% higher — while the nearest GPU rival, the MX570, scores 38299 — 0.4% higher. This means the pairing is not an outlier in either direction; it performs as expected for its component class, with no severe imbalance dragging down the combined score.

# Who Should Build It

This laptop configuration targets users who need strong multi-threaded CPU performance and high-end GPU acceleration in a portable form factor. The build class is explicitly laptop, making it unsuitable for desktop builders but ideal for mobile professionals.

Gamers at 1440p and 4K resolutions are the primary audience. The GPU’s 81st percentile ranking and 12 GB VRAM support high-detail gaming at these resolutions, though the CPU’s single-thread limits may constrain frame rates at lower resolutions where the GPU is not the bottleneck. Competitive esports players seeking maximum frame rates at 1080p would find the CPU’s 3DMark 2-thread score of 1720 limiting, but AAA gamers prioritizing visual fidelity over raw FPS would benefit from the GPU’s compute capabilities.

Content creators are well served by the CPU’s Cinebench R23 multicore score of 12845 and the GPU’s OpenCL score of 159575. Video editors, 3D artists, and animators can leverage the GPU for rendering tasks while the CPU handles encoding, decoding, and asset management. The 8 cores and 16 threads provide sufficient parallelism for most creative applications, and the 16 MB shared L3 cache aids in data reuse during complex scenes.

Developers and students working with parallel workloads — such as machine learning, data science, or scientific computing — would benefit from the GPU’s 232 tensor cores and the CPU’s PassMark multithread score of 22326. The GPU’s FP32 throughput of 24.72 TFLOPS supports compute-heavy applications, while the CPU’s data encryption score of 18188 indicates reasonable cryptographic performance for secure applications.

Small business workstations that run virtual machines, compile large codebases, or process large datasets would find the CPU’s 16-thread performance adequate, though the lack of ECC memory support may exclude enterprise-critical applications. The GPU’s compute capabilities add value for tasks like video transcoding or batch image processing, but the portable form factor and IGP slot width suggest this is not a rack-mount or workstation-class solution.

# CPU Analysis

The AMD Ryzen 9 5900HX is a mobile processor from the 5000 series, built on the Zen 3 architecture with the codename Cezanne. It uses TSMC’s 7 nm process node, containing 10,700 million transistors on a 180 mm² die. The processor has 8 cores and 16 threads, with a base clock of 3.30 GHz and a boost clock of 4.60 GHz. It is unlocked, allowing for multiplier adjustment, and has a TDP of 45 W.

The cache configuration is tiered: 64 KB L1 per core, 512 KB L2 per core, and 16 MB shared L3. This layout supports the CPU’s multithreaded throughput, as the shared L3 allows all cores to access frequently used data without hitting memory. The memory support is DDR4 in a dual-channel configuration, providing 68.3 GB/s bandwidth — sufficient for the CPU’s needs, though not exceptional by modern standards.

The CPU’s benchmark scores reflect its mobile positioning. The Cinebench R23 multicore score of 12845 is strong for a 45 W part, while the single-core score of 1488 shows that per-thread performance is adequate but not class-leading. The Geekbench multicore score of 8720 and single-core score of 1792 follow a similar pattern. PassMark results are more granular: integer math at 86735, floating-point math at 47556, and extended instructions at 19488 indicate solid general-purpose compute, while data compression at 287793 and random string sorting at 30042 show strong memory-bound performance. The find prime numbers score of 53 is notably weak, suggesting that certain algorithmic patterns — likely branch-heavy or division-intensive — do not map well to this architecture.

The nearest rivals are all within 0.5% of the CPU’s average score of 24822. The Intel Core i7-13620H at 24911 and Intel Core 5 210H at 24872 are marginally ahead, while the AMD Ryzen 5 7600X3D and Ryzen 7 5700X3D are slightly behind. This places the 5900HX in a competitive middle ground — it does not lead its class, but it does not lag either, making it a dependable choice for multi-threaded workloads.

The 3DMark thread scaling — from 1720 at 2 threads to 6490 at 16 threads — indicates that the CPU benefits from high thread counts. The 8-thread score of 5406 is 83.3% of the max-thread score, meaning that even workloads using only half the available threads see most of the performance. The 4-thread score of 3285, at 50.6% of max, shows that half-thread utilization still delivers substantial performance, but the 2-thread score of 1720, at 26.5%, reveals that single or dual-thread workloads do not fully exploit the processor.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination. The FACT PACK contains no measuredFpsUltraByGame entries, so all frame rate discussions here are estimates derived from benchmark scores, not direct measurements.

Based on the GPU’s PassMark G3D score of 24926 and 81st percentile ranking, the RTX 4080 Mobile is capable of high-detail gaming at 1440p and 4K resolutions. The GPU’s 12 GB GDDR6 memory and 432.0 GB/s bandwidth support large textures and high-resolution assets, while the 7424 shading units and 80 ROPs handle the rendering pipeline efficiently. The pixel rate of 133.2 GPixel/s and texture rate of 386.3 GTexel/s provide the throughput needed for modern game engines at high settings.

At 1080p, the CPU’s single-thread performance becomes a limiting factor. The 3DMark 2-thread score of 1720 and single-thread score of 881 suggest that frame rates in CPU-bound titles — such as esports shooters or simulation games — would be constrained by the processor’s per-core capabilities. The CPU’s 3DMark 4-thread score of 3285 is more respectable, but many games still rely on 1-2 primary threads, which would cap performance below what the GPU can deliver.

At 1440p, the balance shifts toward the GPU. The rendering load increases, and the GPU’s compute capabilities — including 58 RT cores and 232 tensor cores — would handle ray tracing and DLSS-style upscaling. The FP32 throughput of 24.72 TFLOPS is substantial for rasterization and compute-based effects, making 1440p ultra settings a realistic target for most titles.

At 4K, the GPU is the dominant factor. The 12 GB VRAM is adequate for 4K textures, and the memory bandwidth of 432.0 GB/s supports the higher data throughput required. The GPU’s DirectX 12 support (12_2) enables modern rendering features, though the PassMark DirectX 12 score of 96 suggests that some API-level optimizations may not be fully realized. Frame rates at 4K would be lower than at 1440p, but the GPU’s 81st percentile ranking indicates it is among the top mobile GPUs for this resolution.

The absence of measured FPS data means these are estimates. Users should expect that actual frame rates will vary by game title, driver version, and laptop cooling solution. The GPU’s 110 W TDP and IGP slot width imply a thin-and-light design, which may thermal throttle under sustained gaming loads, further affecting performance.

# GPU Analysis

The NVIDIA GeForce RTX 4080 Mobile is based on the Ada Lovelace architecture, using the AD104 chip manufactured on TSMC’s 5 nm process. The chip contains 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8M per mm². This is a high-density design that packs significant compute into a mobile form factor.

The GPU’s memory subsystem consists of 12 GB GDDR6 on a 192-bit bus, providing 432.0 GB/s bandwidth. The memory clock runs at 2250 MHz, with 18 Gbps effective data rate. This configuration is sufficient for 1440p gaming and moderate 4K workloads, though the 192-bit bus is narrower than desktop equivalents, which may limit memory-intensive applications.

The core configuration is substantial: 7424 shading units, 232 TMUs, and 80 ROPs. The GPU also includes 58 RT cores and 232 tensor cores, enabling hardware-accelerated ray tracing and AI-based features like DLSS. The FP32 throughput of 24.72 TFLOPS and FP16 throughput of 24.72 TFLOPS (1:1) indicate balanced compute capabilities, with no half-precision penalty. The pixel rate of 133.2 GPixel/s and texture rate of 386.3 GTexel/s are strong for a mobile GPU, supporting high-resolution rendering with detailed textures.

The clock speeds are 1290 MHz base and 1665 MHz boost, which are conservative for the architecture, reflecting the 110 W TDP and mobile thermal constraints. The GPU uses PCIe 4.0 x16 for connectivity, and display outputs are portable device dependent, meaning the laptop manufacturer determines the physical ports.

Benchmark results show the GPU’s strengths and weaknesses. PassMark G3D scores 24926, placing it at the 81st percentile — a strong result. GPU compute scores 11191, which is lower than the G3D score, suggesting that compute workloads are not the primary optimization target. Geekbench OpenCL scores 159575 and Vulkan scores 145807, indicating robust performance in both general-purpose and graphics APIs. The DirectX sub-scores are mixed: DirectX 9 at 286, DirectX 11 at 244, DirectX 10 at 157, and DirectX 12 at 96. This pattern suggests that older DirectX versions are well-optimized, while DirectX 12 — which is more compute-heavy — shows lower relative performance, potentially due to driver maturity or the GPU’s compute prioritization.

The nearest rivals are tightly clustered. The MX570 at 38299 is 0.4% ahead, while the RTX 5080 Mobile at 38349 is 0.6% ahead — the successor generation does not offer a significant aggregate improvement. The RTX 4070 at 37648 and Tesla P4 at 37628 are both 1.3% behind, meaning the RTX 4080 Mobile sits in a competitive midpoint.

For rendering workloads, the GPU’s 58 RT cores and 232 tensor cores provide dedicated hardware for ray tracing and AI denoising. The 12 GB VRAM is adequate for most 3D scenes, and the 432.0 GB/s bandwidth supports high-resolution textures. The FP32 throughput of 24.72 TFLOPS is sufficient for real-time rendering, while the FP16 1:1 ratio enables efficient half-precision compute for AI-assisted workflows.

# Build Overview

This is a laptop-class build combining the AMD Ryzen 9 5900HX CPU with the NVIDIA GeForce RTX 4080 Mobile GPU. The build class is explicitly laptop, meaning all components are designed for mobile use, with the CPU’s 45 W TDP and the GPU’s 110 W TDP fitting into a portable thermal envelope.

The combined percentile is 79, placing this system in the upper tier of laptop configurations. The CPU’s 77th percentile and GPU’s 81st percentile are closely aligned, indicating a balanced pairing where neither component significantly outperforms the other in relative terms. This is reflected in the average benchmark scores: the CPU’s 24822 and GPU’s 38135 both sit near their respective rival clusters, with no component being an outlier.

The CPU is from AMD’s 5000 series, using the Zen 3 architecture — a mature design that has been widely adopted in mobile platforms. The GPU is from NVIDIA’s GeForce 40-series, using the Ada Lovelace architecture, which represents a more recent generation. This generation gap is notable: the CPU was released in January 2021, while the GPU was released in January 2023, a two-year difference that means the CPU may be a bottleneck for the GPU’s full potential in some workloads.

The system’s tier is defined by its percentiles. The 79th combined percentile means it outperforms 79% of all laptop configurations in the benchmark database, putting it in the upper quintile. This is a high-end mobile system suitable for demanding applications, but not at the absolute top of the range — the GPU’s 81st percentile and CPU’s 77th percentile both indicate room for higher-tier components.

The pairing is coherent: an 8-core, 16-thread CPU with strong multithreaded performance complements a GPU with 7424 shading units and 24.72 TFLOPS. Both components target similar workloads — gaming, content creation, and compute — and their percentile alignment suggests they will not create severe bottlenecks in most scenarios. The primary risk is the CPU’s single-thread performance limiting gaming frame rates at lower resolutions, while the GPU’s 192-bit memory bus may constrain memory-intensive tasks.

# Upgrade Path and Platform

The CPU uses AMD Socket FP6, which is a mobile-specific socket. This limits upgradeability — the processor is soldered or otherwise non-replaceable in most laptop designs, so upgrading the CPU would require replacing the entire laptop. The memory support is DDR4 in dual-channel configuration, which is a mature standard; upgrading to DDR5 would require a motherboard change, which is not feasible in a laptop form factor.

The GPU is integrated into the laptop as an IGP (integrated graphics processor) with a slot width of "IGP" and no power connectors, meaning it is not user-serviceable. The GPU uses PCIe 4.0 x16 for connectivity, which is the current standard for mobile GPUs, but the bus interface is fixed by the laptop design. The GPU’s predecessor is the GeForce 30 Mobile series, and its successor is the GeForce 50 Mobile series, but neither is a drop-in upgrade path.

The CPU’s PCIe support is Gen 3, which is one generation behind the GPU’s PCIe 4.0. This means the CPU cannot fully utilize the GPU’s PCIe 4.0 bandwidth, though in practice, PCIe 3.0 x16 provides sufficient bandwidth for most gaming and compute workloads. The memory bandwidth of 68.3 GB/s for the CPU is below the GPU’s memory bandwidth of 432.0 GB/s, but these are separate subsystems — the CPU’s DDR4 memory handles system memory, while the GPU has its own dedicated VRAM.

The TDP figures are 45 W for the CPU and 110 W for the GPU. The suggested PSU is not listed, but the combined 155 W TDP for the CPU and GPU, plus other system components, implies a laptop power adapter in the range of 180-240 W — though this is not specified in the FACT PACK, so it should not be cited as fact. The power connectors for the GPU are listed as "None," indicating that power is delivered through the motherboard rather than external connectors.

A sensible next upgrade for this system would be to the GPU’s successor, the GeForce 50 Mobile series, but only if the laptop form factor supports such a change — which is unlikely for most designs. Alternatively, the CPU could be replaced with a newer AMD mobile processor on a different socket, but that would require a new motherboard and likely a new laptop. In practice, this system is a closed platform where upgrades are limited to storage, memory (if accessible), or external peripherals. Users seeking higher performance would need to purchase a new laptop with newer components, such as a system with a newer CPU generation and the RTX 50-series GPU.