SYSTEM ANALYZER

Rate My PC: AMD Ryzen 9 5980HS + NVIDIA GeForce RTX 4080 Mobile

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
Well Balanced
CPU
75%
VS
GPU
95%
PROCESSOR

AMD Ryzen 9 5980HS

4,121 Benchmark Score
Top 25% 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

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

# AMD Ryzen 9 5980HS + NVIDIA GeForce RTX 4080 Mobile

This pairing combines an 8-core, 16-thread Zen 3 mobile processor from AMD’s 5000 series with NVIDIA’s Ada Lovelace flagship mobile GPU, the RTX 4080 Mobile. The CPU, built on TSMC’s 7 nm process with a 35 W TDP, delivers strong single-threaded and multi-threaded performance for a laptop part, while the GPU, fabricated on a 5 nm node with 12 GB of GDDR6 memory, ranks in the 81st percentile among all GPUs. The combined system percentile of 69 indicates a capable high-end laptop configuration, though the CPU’s 57th percentile overall placement suggests it may lag behind the GPU in raw compute headroom. No measured FPS data exists for this exact combination, so all gaming performance figures below are estimates derived from the individual component benchmark scores.

Usage Scenarios

High-refresh gaming: The RTX 4080 Mobile’s 81st percentile GPU ranking and 24.72 TFLOPS FP32 throughput position this laptop for smooth high-refresh gaming at 1080p and 1440p in most titles. The CPU’s Cinebench R23 single-core score of 1529 provides adequate frame pacing for competitive shooters, while the GPU’s 432.0 GB/s memory bandwidth ensures textures and geometry load quickly. However, the CPU’s 57th percentile overall placement may cap frame rates in CPU-bound scenarios, making 240 Hz panels less consistently achievable than 144 Hz displays.

Streaming: The RTX 4080 Mobile’s 232 tensor cores and 58 RT cores support hardware-accelerated encoding and real-time ray tracing simultaneously, a workload where the GPU’s Passmark G3D score of 24926 and Geekbench Vulkan score of 145807 indicate ample headroom. The CPU’s 16 threads handle game logic and streaming software concurrently, though the 35 W TDP means sustained multi-threaded loads could throttle under combined gaming and encoding stress.

Video editing: Cinebench R23 multi-core score of 12629 and R15 multi-core score of 2083 show the 8-core CPU can handle timeline scrubbing and export tasks, while the GPU’s 159575 Geekbench OpenCL score accelerates effects rendering and color grading. The 12 GB VRAM buffer accommodates 4K timelines with multiple layers, and the 432.0 GB/s bandwidth supports high-bitrate footage playback.

3D rendering: The GPU’s 24.72 TFLOPS FP32 and 386.3 GTexel/s texture rate deliver strong GPU-accelerated renders in engines like Blender or Octane, where the Passmark GPU compute score of 11191 confirms compute-heavy workloads scale well. The CPU’s 12629 Cinebench R23 score handles scene preparation and physics simulation, though the 57th percentile CPU ranking means CPU-only renderers will not match the GPU’s relative strength.

Software development: The 8-core, 16-thread configuration with 16 MB of shared L3 cache and 68.3 GB/s memory bandwidth supports parallel compilation and containerized workloads. The CPU’s single-core score of 1529 in Cinebench R23 ensures responsive IDE interactions, while the GPU’s CUDA-capable architecture accelerates machine learning training and inference tasks common in modern development.

Student and office work: The 35 W TDP CPU and integrated Radeon Vega 8 graphics provide efficient baseline operation for document editing, web browsing, and spreadsheet analysis. The GPU’s Passmark G2D score of 929 indicates solid 2D acceleration, and the 12 GB VRAM is overkill for office tasks but ensures longevity for future software demands.

Benchmark Performance

The CPU’s average benchmark score of 4121 places it in the 57th percentile of all CPUs, sitting within 1.2% of the AMD Ryzen Threadripper 1900X (4073, +1.2% delta) and 1% ahead of the Intel Core i9-9900 (4163, -1% delta). It trails the AMD Ryzen 7 PRO 2700X by 0.2% (4114 vs 4121) and leads the Intel Core i5-12500TE by 0.9% (4083 vs 4121). In Cinebench R23, the CPU scores 12629 multi-core and 1529 single-core, while R15 scores are 2083 multi-core and 243 single-core. These scores indicate a balanced mobile processor that competes with desktop parts from several generations ago.

The GPU’s average benchmark score of 38135 places it in the 81st percentile of all GPUs, a remarkably high ranking for a mobile part. It sits just 0.4% behind the NVIDIA GeForce MX570 (38299, -0.4% delta) and 0.6% behind the RTX 5080 Mobile (38349, -0.6% delta), while leading the RTX 4070 by 1.3% (37648 vs 38135) and the Tesla P4 by 1.3% (37628 vs 38135). Key GPU scores include a Geekbench OpenCL score of 159575, Geekbench Vulkan score of 145807, Passmark G3D score of 24926, and Passmark GPU compute score of 11191. The combined percentile of 69 reflects a system where the GPU significantly outperforms the CPU in relative terms, creating a potential imbalance in GPU-bound tasks.

CPU Analysis

The AMD Ryzen 9 5980HS is a mobile processor from the 5000 series, built on the Zen 3 architecture with the Cezanne codename. It features 8 physical cores and 16 threads, with a base clock of 3.00 GHz and a boost clock of 4.80 GHz. The 7 nm process from TSMC packs 10,700 million transistors into a 180 mm² die, enabling a 35 W TDP that suits thin-and-light gaming laptops. The cache hierarchy includes 64 KB of L1 per core, 512 KB of L2 per core, and 16 MB of shared L3 cache, providing adequate data locality for multi-threaded workloads.

Benchmark results show a processor that excels in single-threaded tasks relative to its mobile class. The Cinebench R23 single-core score of 1529 and R15 single-core score of 243 demonstrate strong IPC from the Zen 3 architecture, which is critical for gaming and lightly-threaded applications. The multi-core scores of 12629 (R23) and 2083 (R15) reveal good scaling across the 8 cores, though the 35 W TDP limits sustained all-core boost compared to higher-TDP mobile or desktop parts. The 57th percentile CPU ranking places it alongside desktop processors like the Intel Core i9-9900 and AMD Ryzen Threadripper 1900X, indicating that this mobile chip can match older desktop hardware in mixed workloads.

The CPU’s memory support is DDR4 with a dual-channel bus and 68.3 GB/s bandwidth, which is modest by modern standards but sufficient for the 8-core design. The integrated Radeon Vega 8 graphics provide a fallback display output and basic compute capability, though the discrete RTX 4080 Mobile handles all demanding graphics tasks. The lack of ECC memory support and locked multiplier align with its mobile consumer positioning.

Upgrade Path and Platform

The CPU uses AMD Socket FP6, a mobile-only socket that offers no user upgrade path. The platform supports DDR4 memory in a dual-channel configuration, and the 68.3 GB/s memory bandwidth is fixed by the CPU’s integrated memory controller. The CPU provides PCIe Gen 3 with 16 lanes, while the GPU operates on a PCIe 4.0 x16 interface, meaning the GPU’s full bandwidth potential is not constrained by the CPU’s older PCIe generation in most workloads, though bandwidth-sensitive tasks could see minor limitations.

The GPU’s TDP is 110 W, and the system’s PSU requirements are not specified in the data, but the combined 35 W CPU TDP and 110 W GPU TDP suggest a laptop power adapter in the range of 150-200 W would be typical for such a configuration. Since this is a laptop build class, the upgrade path is effectively non-existent for the CPU and GPU; users cannot swap components. A sensible next upgrade would be to a newer platform entirely, such as one supporting the RTX 50-series mobile GPUs, given the RTX 4080 Mobile’s successor is the GeForce 50 Mobile series. For users with this exact system, the only practical upgrades are memory capacity (if the laptop allows) or external storage via the PCIe lanes.

Who Should Build It

This configuration targets gamers who prioritize GPU performance over CPU headroom, specifically those playing at 1080p or 1440p with high refresh rates. The RTX 4080 Mobile’s 81st percentile GPU ranking and 24.72 TFLOPS FP32 ensure that most modern titles run at high settings with smooth frame rates, while the CPU’s 57th percentile ranking means it can keep up with the GPU in most games but may bottleneck in esports titles at very high frame rates. Content creators working with GPU-accelerated workflows—video editors using OpenCL, 3D artists using CUDA-based renderers, or machine learning practitioners—will benefit most from this pairing, as the GPU’s 159575 OpenCL score and 11191 compute score far exceed the CPU’s relative standing.

Software developers compiling large codebases or running virtual machines will find the 8 cores and 16 threads adequate, though the 35 W TDP means sustained compile jobs may run slower than on higher-TDP desktop CPUs. Students and office workers will find the system overkill for basic tasks but future-proof, with the integrated Radeon Vega 8 providing a power-efficient fallback for light use. Small business workstations that require occasional GPU acceleration for rendering or simulation would benefit from the GPU’s compute capabilities, but the lack of ECC memory and mobile form factor limit enterprise deployment.

FAQ

Q: What is the CPU’s core and thread count?

A: The AMD Ryzen 9 5980HS has 8 cores and 16 threads, based on the Zen 3 architecture with a Cezanne codename.

Q: How much VRAM does the GPU have and what type?

A: The NVIDIA GeForce RTX 4080 Mobile has 12 GB of GDDR6 memory on a 192-bit bus, providing 432.0 GB/s of bandwidth.

Q: What is the GPU’s percentile ranking and how does it compare to the RTX 4070?

A: The GPU ranks in the 81st percentile of all GPUs, with an average benchmark score of 38135, which is 1.3% higher than the NVIDIA GeForce RTX 4070’s score of 37648.

Q: Does the CPU support ECC memory?

A: No, the CPU does not support ECC memory, as indicated in the specifications.

Q: What is the CPU’s TDP and process node?

A: The CPU has a 35 W TDP and is manufactured on a 7 nm process by TSMC, with 10,700 million transistors on a 180 mm² die.

Q: What PCIe interface does the GPU use?

A: The GPU uses a PCIe 4.0 x16 bus interface, while the CPU provides PCIe Gen 3 with 16 lanes.

Q: What is the CPU’s single-core performance in Cinebench R23?

A: The CPU scores 1529 in Cinebench R23 single-core, which is a strong result for a 35 W mobile processor.

GPU Analysis

The NVIDIA GeForce RTX 4080 Mobile is built on the Ada Lovelace architecture with the AD104 chip, fabricated on a 5 nm process by TSMC 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, with memory running at 2250 MHz (18 Gbps effective). It features 12 GB of GDDR6 memory on a 192-bit bus, delivering 432.0 GB/s of bandwidth. The compute configuration includes 7424 shading units, 232 TMUs, 80 ROPs, 58 RT cores, and 232 tensor cores, enabling 24.72 TFLOPS of FP32 and FP16 (1:1) throughput, a pixel rate of 133.2 GPixel/s, and a texture rate of 386.3 GTexel/s.

Benchmark results confirm the GPU’s high-end positioning. The Geekbench OpenCL score of 159575 and Vulkan score of 145807 demonstrate strong compute and graphics API performance, while the Passmark G3D score of 24926 and GPU compute score of 11191 show balanced rasterization and compute capabilities. The 81st percentile GPU ranking places it among the top 20% of all GPUs, competitive with desktop parts like the RTX 4070 (which it leads by 1.3%) and close to the RTX 5080 Mobile (which leads it by 0.6%). The 58 RT cores support real-time ray tracing, and the 232 tensor cores accelerate DLSS and AI workloads, making this GPU well-suited for modern game features and creative applications.

Build Overview

This is a laptop-class system pairing the AMD Ryzen 9 5980HS mobile CPU with the NVIDIA GeForce RTX 4080 Mobile GPU. The build’s combined percentile of 69 indicates a solid high-end configuration, though the GPU’s 81st percentile significantly outperforms the CPU’s 57th percentile. The CPU is a 2021-era Zen 3 part with 8 cores and 16 threads, while the GPU is a 2023-era Ada Lovelace part with 12 GB VRAM. This generation gap means the system is GPU-centric, excelling in graphics-intensive tasks but showing relative CPU weakness in multi-threaded workloads. The overall tier is a premium gaming and content-creation laptop, not a workstation-class system, given the mobile form factor and lack of ECC support.

Balance and Bottleneck

The data indicates a clear GPU-favored balance. The GPU’s 81st percentile ranking versus the CPU’s 57th percentile means the CPU is the limiting factor in most workloads that require both components. In gaming, the CPU’s single-core score of 1529 (Cinebench R23) will cap frame rates in CPU-bound titles, particularly at lower resolutions like 1080p where the GPU has headroom. The GPU’s 24.72 TFLOPS FP32 and 432.0 GB/s bandwidth are sufficient for 1440p and 4K gaming, but the CPU’s 35 W TDP limits sustained all-core boost, potentially causing frame drops in heavily threaded scenes. In GPU-bound workloads like 3D rendering or video encoding, the GPU is the clear performer, and the CPU’s 12629 Cinebench R23 score will not bottleneck the GPU’s 159575 OpenCL score. However, in CPU-bound tasks like physics simulation or code compilation, the CPU’s 57th percentile will limit overall system throughput, and the GPU will sit idle. The 68.3 GB/s memory bandwidth from the CPU may also constrain the GPU in data-intensive scenarios, as the GPU’s own 432.0 GB/s bandwidth is far higher, creating a potential data transfer bottleneck.

Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination, so all gaming figures are estimates derived from the benchmark scores. Based on the GPU’s 81st percentile ranking and 24.72 TFLOPS FP32, expect high frame rates at 1080p and 1440p in most titles. At 1080p with ultra settings, the GPU can likely push 100-144 FPS in AAA games and 144-240 FPS in esports titles, though the CPU’s single-core score of 1529 may limit the upper end in CPU-bound games. At 1440p, frame rates will drop to 60-120 FPS depending on the title, with the GPU’s 432.0 GB/s bandwidth handling high-resolution textures well. At 4K, the GPU’s 12 GB VRAM and 24.72 TFLOPS should sustain 30-60 FPS in demanding games, though the CPU’s 57th percentile may cause occasional stutters in open-world titles. The 58 RT cores enable ray tracing at playable frame rates with DLSS, and the 232 tensor cores provide AI upscaling that can boost performance by roughly 30-50% in supported titles, though these are qualitative estimates based on the GPU’s compute scores. For competitive gaming at 1080p, the CPU may be the bottleneck, as its single-core performance is strong but not top-tier, while the GPU will rarely be the limiting factor at that resolution.