SYSTEM ANALYZER

Rate My PC: AMD Ryzen 3 7320U + NVIDIA GeForce RTX 4090 Mobile

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

81 / 100
HIGH-END

Power Build

Top 19% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
66%
VS
GPU
96%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

AMD Ryzen 3 7320U

1,916 Benchmark Score
Top 34% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4090 Mobile

43,667 Benchmark Score
Top 4% 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

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

The AMD Ryzen 3 7320U paired with an NVIDIA GeForce RTX 4090 Mobile is one of the most extreme mismatches in the mobile hardware database. The data shows a laptop-class CPU built for efficiency and battery life, combined with a flagship-tier GPU designed for maximum performance. The combined percentile of 64 places this pairing above the majority of systems, but the benchmark results reveal that the CPU holds the GPU back in nearly every scenario. This analysis interprets the FACT PACK data strictly, presenting what the scores mean for real workloads without speculation.

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The AMD Ryzen 3 7320U is a 4-core, 8-thread processor based on the Zen 2 architecture, codenamed Mendocino. It belongs to the Ryzen 7000 series but is manufactured on a 6 nm process node by TSMC, with a die size of 100 mm². The base clock is 2.40 GHz and the boost clock reaches 4.10 GHz. The thermal design power (TDP) is 15 W, which classifies this as an ultra-low-power mobile chip. The processor uses AMD Socket FT6 and supports dual-channel LPDDR5 memory with a bandwidth of 88.0 GB/s. Cache configuration includes 64 KB of L1 per core, 512 KB of L2 per core, and 4 MB of shared L3 cache. PCIe support is limited to Gen 3 with 4 lanes from the CPU. Integrated graphics are present in the form of a Radeon 610M.

Benchmark results put this CPU in a modest position. The Cinebench R23 multi-core score is 4809, while the single-core score is 1095. In Geekbench, the multi-core score is 3536 and the single-core score is 1103. The Cinebench R15 multi-core score is 790, and the single-core score is 162.4. The average benchmark score is 1916, which places the CPU at the 43rd percentile among all CPUs. This means that roughly 57% of all tested processors outperform it. The nearest rivals confirm its mid-to-low tier positioning: the Intel Core i7-6700T has an average score of 1918 (0.1% higher), the Intel Xeon E-2314 scores 1911 (0.3% lower), the Intel Xeon E3-1575M v5 scores 1910 (0.3% lower), and the AMD Ryzen 5 PRO 2400GE scores 1910 (0.3% lower). These deltas are within a fraction of a percent, indicating that the 7320U performs nearly identically to several older desktop and mobile parts.

For real workloads, the data indicates that the CPU is sufficient for everyday tasks like web browsing, office productivity, and light coding. However, the 4-core/8-thread configuration and the 15 W TDP limit sustained multi-threaded performance. The Cinebench R23 multi-core score of 4809 suggests that heavy rendering or video encoding will be slow. The single-core score of 1095 in Geekbench is adequate for responsive single-threaded applications but not competitive with modern high-performance laptop chips. The 43rd percentile ranking confirms that this CPU is positioned for budget and entry-level laptops, not for demanding workstation use.

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The combined system percentile is 64, meaning that this pairing outperforms 64% of all recorded systems. This is driven almost entirely by the GPU. The CPU sits at the 43rd percentile, while the GPU sits at the 84th percentile. The gap is 41 percentile points, which is substantial. The CPU's average benchmark score is 1916, while the GPU's average benchmark score is 43667. The GPU score is over 22 times higher than the CPU score, which illustrates the extreme performance disparity.

The GPU's Geekbench OpenCL score is 180831, and the Vulkan score is 170774. The Passmark G3D score is 27212, and the Passmark GPU Compute score is 12347. DirectX 9, 10, 11, and 12 scores are 310, 173, 262, and 107, respectively. The G2D score is 984. These scores place the RTX 4090 Mobile at the 84th percentile among all GPUs. Its nearest rivals include the NVIDIA Quadro M6000 with an average score of 43301 (0.8% lower), the NVIDIA GeForce RTX 5050 Mobile at 43268 (0.9% lower), the NVIDIA Quadro M6000 24 GB at 43262 (0.9% lower), and the NVIDIA RTX A6000 at 44075 (0.9% higher). The GPU is within 1% of these professional and high-end mobile parts.

The combined picture is one of a system with enormous graphical capability that is bottlenecked by a weak processor. In GPU-bound tasks like 3D rendering or high-resolution gaming, the GPU can perform near its potential. In CPU-bound tasks like physics simulation or AI inference that rely on CPU preprocessing, the system will suffer. The percentile gap is the clearest evidence of this imbalance. A user buying this system for GPU compute would see strong results; a user buying it for general responsiveness would see a mid-tier experience.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA GeForce RTX 4090 Mobile is built on the Ada Lovelace architecture with the AD103 chip. It uses a 5 nm process node from TSMC, with 45,900 million transistors on a 379 mm² die. The transistor density is 121.1M per mm². The GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering a bandwidth of 576.0 GB/s. The base clock is 1335 MHz, and the boost clock is 1695 MHz. Memory clock is 2250 MHz, which translates to 18 Gbps effective. The TDP is 120 W, and the card uses no external power connectors, fitting an IGP slot width. The bus interface is PCIe 4.0 x16.

The GPU features 9728 shading units, 304 texture mapping units, and 112 raster output units. It has 76 RT cores and 304 tensor cores. Pixel rate is 189.8 GPixel/s, and texture rate is 515.3 GTexel/s. The FP32 performance is 32.98 TFLOPS, and FP16 performance is identical at 32.98 TFLOPS (1:1). These specifications indicate a high-end mobile GPU that rivals desktop parts from previous generations.

For rendering workloads, the benchmark scores suggest exceptional performance. The Geekbench OpenCL score of 180831 places this GPU in the top tier of compute devices. The Vulkan score of 170774 indicates strong cross-platform graphics performance. The Passmark G3D score of 27212 confirms that this is a GPU capable of handling the most demanding games and 3D applications. The 16 GB VRAM is sufficient for large textures and complex scenes, and the 576.0 GB/s bandwidth ensures that data can be fed to the cores without stalling. The 76 RT cores enable hardware-accelerated ray tracing, and the 304 tensor cores support DLSS and AI-based rendering techniques. The 84th percentile ranking places this GPU above the vast majority of installed GPUs, including the Quadro M6000 and RTX A6000 which are within 1% of its average score.

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

This pairing is not a natural fit for any single user group, but the data suggests specific scenarios where it would be acceptable. Gamers at 1080p or 1440p would benefit from the GPU's high frame rates, but the CPU's 43rd percentile ranking could cause frame drops in CPU-intensive titles. The GPU's 84th percentile and the Passmark DirectX 12 score of 107 indicate that modern games will run smoothly when the CPU is not the limiting factor. Gamers who prioritize visual quality over CPU-heavy simulation would see strong performance.

Content creators working with GPU-accelerated rendering would find value here. The 16 GB VRAM and 32.98 TFLOPS FP32 performance are ideal for video editing, 3D modeling, and color grading. The Geekbench OpenCL score of 180831 suggests that applications like Blender or DaVinci Resolve would export quickly. However, the CPU's Cinebench R23 multi-core score of 4809 means that CPU-based encoding or scene preparation would be slow. Developers using CUDA or TensorRT for machine learning would appreciate the 304 tensor cores and the 12347 Passmark GPU Compute score, but the CPU's limited 8 threads could hamper data preprocessing.

Students and small business workstations are the most likely buyers for the CPU itself, but the GPU is overkill for their needs. The Ryzen 3 7320U is a capable processor for document editing, spreadsheets, and web applications. The Radeon 610M integrated graphics would suffice for basic displays. However, the RTX 4090 Mobile adds significant cost and power draw without benefiting these workloads. The data does not support this pairing for typical office tasks. The combined percentile of 64 suggests that the system is better than half of all systems, but that is due to the GPU. For users who need GPU compute and are willing to tolerate slow CPU response, this combination could work. For everyone else, the imbalance is a liability.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The bottleneck analysis is unambiguous based on the percentile data. The CPU is at the 43rd percentile, and the GPU is at the 84th percentile. The 41-point gap means that the CPU is the limiting factor in most workloads. In gaming, the CPU's single-core score of 1103 in Geekbench will cap frame rates in titles that rely on physics, AI, or draw calls. The GPU can render frames faster than the CPU can issue them, leading to wasted GPU utilization. The Passmark DirectX 11 score of 262 and DirectX 12 score of 107 show that the GPU is ready for modern APIs, but the CPU cannot keep up.

In compute workloads, the bottleneck depends on the task. For pure GPU compute, such as rendering or training models, the GPU will run near its potential. The Geekbench OpenCL score of 180831 indicates massive parallel throughput. However, any task that requires CPU involvement, such as asset loading, decompression, or scene graph management, will be slowed by the CPU's 4 cores and 8 threads. The Cinebench R23 multi-core score of 4809 is a clear indicator of this limitation. The CPU's 15 W TDP also means that sustained turbo clocks are unlikely, further reducing its capacity.

There is no measured FPS data for this combination, so frame rates cannot be stated precisely. The FACT PACK contains no measuredFpsUltraByGame entries, and dataIsMeasured is false. Therefore, all FPS discussion is estimated from the benchmark scores. The GPU's 84th percentile suggests that it can deliver high frame rates at 1080p ultra settings in most games, but the CPU's 43rd percentile would cause dips in CPU-heavy scenes. The bottleneck is severe enough that users would see inconsistent performance, with the GPU sometimes idling while waiting for the CPU.

FAQ — 5-7 Q&A pairs answerable from FACT PACK data (format: Q:... A:...)

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

A: The combined percentile is 64, meaning this system outperforms 64% of all recorded systems in the database.

Q: How does the CPU compare to its nearest rival in average benchmark score?

A: The CPU's average score is 1916. The Intel Core i7-6700T has a score of 1918, which is 0.1% higher. The Intel Xeon E-2314, Intel Xeon E3-1575M v5, and AMD Ryzen 5 PRO 2400GE all score 1911 or 1910, which is 0.3% lower.

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

A: The GPU has 16 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 576.0 GB/s.

Q: What are the CPU's core and thread counts?

A: The CPU has 4 cores and 8 threads, based on the Zen 2 architecture.

Q: Which GPU score is higher: Geekbench OpenCL or Vulkan?

A: The Geekbench OpenCL score is 180831, which is higher than the Vulkan score of 170774.

Q: Is the CPU's memory support ECC?

A: No, ECC memory is not supported. The CPU supports dual-channel LPDDR5 memory with a bandwidth of 88.0 GB/s.

Q: What is the GPU's transistor count and die size?

A: The GPU has 45,900 million transistors on a 379 mm² die, resulting in a transistor density of 121.1M per mm².

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The CPU uses AMD Socket FT6, which is a mobile platform socket. The FACT PACK does not list a suggested PSU for the GPU, and the GPU's TDP is 120 W. The CPU's TDP is 15 W. The combined TDP is 135 W, which is modest for a laptop. The GPU has no power connectors and fits an IGP slot width, indicating that it is soldered to the motherboard. The bus interface is PCIe 4.0 x16 for the GPU, while the CPU only provides PCIe Gen 3 with 4 lanes. This mismatch means that the GPU's PCIe 4.0 bandwidth is not fully utilized if it relies on CPU lanes, but the GPU has its own dedicated interface.

Memory support is dual-channel LPDDR5. The CPU's memory bandwidth is 88.0 GB/s. The GPU has its own 16 GB of GDDR6 with 576.0 GB/s bandwidth. There is no upgrade path for the CPU or GPU in a laptop, as both are integrated. The socket FT6 is not upgradeable. A sensible next upgrade would be to a different platform entirely. A user seeking better CPU performance would need a system with a higher-tier processor, such as one with more cores or a newer architecture. The data shows that the CPU's 43rd percentile is the primary weakness, so replacing the entire system would be the only meaningful improvement.

The PSU headroom is not specified in the FACT PACK, so no exact wattage can be stated. The GPU's 120 W TDP and the CPU's 15 W TDP suggest that a laptop power adapter must supply at least the sum of these values plus other components. Without a suggested PSU, the data does not support any specific recommendation. The upgrade path is limited to external peripherals or a new laptop.

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

This is a laptop-class build, as indicated by the buildClass field. The pairing consists of an entry-level mobile CPU and a flagship mobile GPU. The CPU is a 4-core Zen 2 part with a 15 W TDP, and the GPU is an Ada Lovelace part with a 120 W TDP. The overall tier, based on the combined percentile of 64, is above average. However, this tier is misleading because the GPU's 84th percentile boosts the system. The CPU's 43rd percentile drags the system down in CPU-bound tasks.

The build is fundamentally unbalanced. The GPU is capable of competing with professional workstation cards like the NVIDIA RTX A6000, which has an average score of 44075 (0.9% higher). The CPU, meanwhile, is comparable to the Intel Core i7-6700T, a desktop processor from 2016. This pairing would be suitable for a user who prioritizes GPU compute above all else and does not need responsive CPU performance. For a general-purpose laptop, the CPU would be more appropriate with integrated graphics or a low-end discrete GPU. The data clearly shows that this is a niche configuration, not a mainstream recommendation.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

No measured FPS data exists for this exact combination. The FACT PACK contains no entries in measuredFpsUltraByGame, and dataIsMeasured is false. Therefore, all FPS figures discussed here are estimates based on the benchmark scores, not measured results. The GPU's Passmark G3D score of 27212 and Geekbench Vulkan score of 170774 indicate that the GPU can handle modern games at high settings. The 84th percentile ranking suggests that the GPU is faster than the vast majority of installed GPUs.

For gaming at 1080p ultra settings, the GPU would likely deliver high frame rates in most titles, but the CPU's 43rd percentile could cause drops in CPU-intensive scenes. The Geekbench single-core score of 1103 is low by modern standards, which would limit performance in games that rely on single-threaded physics or AI. The Cinebench R23 multi-core score of 4809 suggests that background tasks would compete with the game for CPU resources. At 1440p, the GPU would still be strong, but the CPU bottleneck would remain. At 4K, the GPU would be the primary bottleneck, but the CPU could still cause stutters in certain scenarios. These are estimates, and actual frame rates would vary by game and driver. The data does not support any specific FPS claims. Users should expect inconsistent performance, with the GPU often waiting on the CPU.