SYSTEM ANALYZER

Rate My PC: Intel Core i7-12800HE + NVIDIA RTX 5000 Mobile Ada Generation

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

79 / 100
HIGH-END

Power Build

Top 21% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
77%
VS
GPU
80%
PROCESSOR

Intel Core i7-12800HE

6,467 Benchmark Score
Top 23% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Mobile Ada Generation

3,596 Benchmark Score
Top 20% 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

This analysis examines the Intel Core i7-12800HE and NVIDIA RTX 5000 Mobile Ada Generation pairing as a laptop-class build. The data shows a combination with a strong, modern processor and a graphics processor whose benchmark scores place it in a surprisingly low percentile, creating a distinct performance profile. All figures below are drawn exclusively from the provided benchmark database entries.

Upgrade Path and Platform

The platform is built around the Intel Core i7-12800HE, which uses the Intel BGA 1744 socket. This is a mobile-specific socket, meaning the CPU is soldered to the motherboard, and as such, there is no traditional CPU upgrade path in the sense of swapping out the processor for a different model. The platform’s foundation is the Alder Lake-H architecture, built on Intel’s 10 nm process node with a die size of 217 mm². Memory support includes both DDR4 and DDR5, operating on a dual-channel bus, which provides flexibility for system builders to choose between the two memory generations, though the specific bandwidth figures are not listed in the data.

The CPU provides 20 PCIe Gen 4 lanes, which is a crucial specification for connecting high-bandwidth components like the GPU and NVMe storage. The RTX 5000 Mobile Ada Generation GPU connects via a PCIe 4.0 x16 interface, which is fully compatible with the CPU’s lane allocation, ensuring the graphics card is not bottlenecked by the bus interface. For power, the CPU’s thermal design power (TDP) is 45 W, while the GPU has a TDP of 120 W. The combined thermal load of approximately 165 W from these two primary components means that a laptop chassis must be designed with a robust cooling solution to sustain performance under load. The data does not provide a suggested PSU wattage for the GPU, but for a laptop, the power delivery is handled by the system’s internal power supply and battery, which must be sized to handle this combined draw.

Given the BGA socket, a sensible next upgrade for this platform is not a CPU replacement but rather a focus on other system components. Increasing memory capacity or speed within the DDR4 or DDR5 support is a straightforward path, as is upgrading storage to utilize the available PCIe Gen 4 lanes for faster NVMe SSDs. The GPU is also a mobile part, likely soldered as well, so the primary upgrade path for performance in this system would be external, such as using a Thunderbolt-equipped eGPU enclosure, though the data does not specify Thunderbolt support. The platform’s active production status suggests it is a current-generation solution, and the 45 W CPU TDP class indicates a focus on a balance between performance and power efficiency for a mobile workstation.

GPU Analysis

The NVIDIA RTX 5000 Mobile Ada Generation is a professional mobile graphics solution based on the Ada Lovelace architecture, built on TSMC’s 5 nm process node. The chip, designated AD103, contains 45,900 million transistors on a 379 mm² die, yielding a transistor density of 121.1 million per square millimeter. The GPU has 16 GB of GDDR6 memory on a 256-bit bus, providing a memory bandwidth of 576.0 GB/s. This substantial VRAM allocation is a key feature for professional workloads, such as large 3D scenes, high-resolution texture sets, and machine learning datasets that exceed the capacity of typical consumer 8 GB or 12 GB cards.

Clock speeds are set at a base of 1425 MHz with a boost of 2115 MHz, while the memory runs at an effective 18 Gbps. The GPU is equipped with 9728 shading units, 304 texture mapping units, and 112 render output units. For accelerated ray tracing and AI workloads, it includes 76 RT cores and 304 tensor cores. The compute capabilities are significant: the card delivers 41.15 TFLOPS for FP32 and matching 41.15 TFLOPS for FP16 with a 1:1 ratio. Pixel and texture fill rates are 236.9 GPixel/s and 643.0 GTexel/s, respectively.

The sole benchmark score for this GPU is from 3DMark Steel Nomad DX12, where it achieved a score of 3596. This score places the GPU in the 21st percentile of all GPUs in the database, which is a low position for a card with this memory capacity and compute specifications. The nearest rivals are older, low-end desktop cards: the NVIDIA GeForce GT 545 (0.1% ahead), the GeForce GT 735M (0.6% behind), and the GeForce GTX 1050 (0.9% behind). This suggests that despite the modern architecture and high-end specifications, the benchmark indicates performance closer to entry-level discrete GPUs from previous generations. For rendering, the high VRAM and tensor core count are beneficial for professional applications, but the raw rasterization performance, as measured by the Steel Nomad test, appears to be the limiting factor, potentially capping frame rates in gaming or viewport performance in 3D applications.

Benchmark Performance

The benchmark data presents a clear split between the CPU and GPU. The Intel Core i7-12800HE delivers strong multi-threaded and single-threaded scores across the Cinebench suite. In Cinebench R23, the CPU scores 22360 points in multi-core and 3156 points in single-core. In Cinebench R20, the scores are 9391 and 1325, respectively. The R15 tests show 2253 multi-core and 318 single-core. The CPU’s average benchmark score is 6467, placing it in the 62nd percentile of all CPUs. This indicates the processor outperforms a majority of CPUs in the database.

The CPU’s nearest rivals are all server or high-end desktop parts: the Intel Xeon D-2796TE (0.7% behind), the Intel Xeon W-2191B (1% behind), and the Intel Core i9-7960X (1% behind), with the AMD EPYC 7551 being 1.2% ahead. This positioning shows the i7-12800HE is competitive with much larger, higher-power desktop and server processors in the database’s average score metric.

In contrast, the GPU’s average benchmark score is 3596, which places it in the 21st percentile. The nearest rivals are the aforementioned low-tier desktop GPUs, all within a 1.5% margin. The combined percentile for this CPU and GPU pairing is 42, which reflects the GPU’s low standing dragging down the overall system percentile from the CPU’s 62nd position. The combined picture is one of a high-performing central processor paired with a graphics processor that, according to the benchmark data, performs at a fraction of its apparent capability. This creates a system where CPU-bound tasks will see excellent performance, while GPU-bound tasks will be severely limited, as evidenced by the low percentile and the nature of the rival comparisons.

FAQ

Q: What is the performance class of the Intel Core i7-12800HE based on its benchmark scores?

A: The CPU’s average benchmark score is 6467, placing it in the 62nd percentile of all CPUs. This indicates it outperforms a majority of processors, and its scores are competitive with server-class chips like the Intel Xeon W-2191B, which is only 1% slower.

Q: How does the RTX 5000 Mobile Ada Generation GPU compare to its nearest rivals in the database?

A: The GPU’s average benchmark score is 3596, which is in the 21st percentile. It is nearly identical in performance to the NVIDIA GeForce GT 545 (0.1% faster) and the GeForce GT 735M (0.6% slower), indicating performance in the range of old, low-end desktop cards.

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

A: The combined percentile for the Intel Core i7-12800HE and RTX 5000 Mobile Ada Generation build is 42, which is significantly lower than the CPU’s individual 62nd percentile, due to the GPU’s weaker 21st percentile score.

Q: What is the memory bandwidth of the RTX 5000 Mobile Ada Generation?

A: The GPU has a memory bandwidth of 576.0 GB/s, achieved with 16 GB of GDDR6 memory on a 256-bit bus. This is a high bandwidth figure, but the benchmark scores do not reflect high performance relative to other GPUs.

Q: What are the core counts for the CPU and GPU, respectively?

A: The Intel Core i7-12800HE has 14 cores and 20 threads. The NVIDIA RTX 5000 Mobile Ada Generation has 9728 shading units, along with 76 RT cores and 304 tensor cores.

Q: What is the thermal design power (TDP) for each component?

A: The CPU has a TDP of 45 W, while the GPU has a TDP of 120 W. The combined power draw of these two components is a key consideration for the laptop’s cooling and power delivery systems.

Q: Does the benchmark data provide measured FPS for games for this build?

A: No, the data set contains no measured FPS rows for this exact combination. All FPS discussions must be treated as estimates derived from the component benchmark scores.

CPU Analysis

The Intel Core i7-12800HE is a 14-core, 20-thread processor based on the Alder Lake architecture, specifically the Alder Lake-H mobile variant. It operates with a base clock of 2.40 GHz and a boost clock of 4.60 GHz. The processor is built on Intel’s 10 nm process node, with a die size of 217 mm². Its cache hierarchy includes 80 KB of L1 cache per core, 1.25 MB of L2 per core, and a shared 24 MB L3 cache. This configuration of high core count and high boost clock places it in a strong position for demanding multi-threaded applications.

Benchmark results confirm this. The Cinebench R23 multi-core score of 22360 is a strong result, placing the CPU in the 62nd percentile overall. This is a clear indicator of substantial multi-threading capability, suitable for video encoding, 3D rendering, and software compilation. The single-core score of 3156 in R23 is also robust, indicating good responsiveness in tasks that rely on single-thread performance, such as older games or certain office applications. The CPU’s average score of 6467, which is nearly identical to the Intel Xeon D-2796TE and only 1% behind the Intel Core i9-7960X, suggests that this mobile chip can hold its own against much larger and more power-hungry desktop and server processors in the database’s aggregated metrics.

The 45 W TDP is a defining characteristic for a mobile part, allowing it to fit into thinner laptops while still providing performance that rivals desktop parts from a few generations ago. The support for both DDR4 and DDR5 memory is forward-looking, though the practical impact is dependent on the laptop’s motherboard design. The integrated Iris Xe 96EU graphics provides a basic display output and can handle light tasks, but the system is clearly designed to rely on the discrete RTX 5000 GPU for heavy graphical workloads. For real-world workloads, this CPU is a capable workhorse for tasks that can utilize its 14 cores, but its performance will be held back by the GPU in graphics-intensive scenarios.

Who Should Build It

This laptop configuration targets users who prioritize CPU-heavy professional tasks and require a massive amount of GPU memory, but do not need a high level of raw GPU rendering performance as measured by the database. The Intel Core i7-12800HE’s 62nd percentile CPU score indicates it is well-suited for software developers who need to compile large codebases, engineers running complex simulations, or financial analysts processing large data sets. The 14 cores and 20 threads will accelerate parallel workloads significantly, making it a solid choice for a mobile workstation where the processor is the primary engine.

Content creators who work with video editing or 3D modeling will benefit from the CPU’s multi-core strength and the GPU’s 16 GB of VRAM. The large memory pool allows for loading large textures and high-resolution video previews without running out of memory, but the GPU’s low 21st percentile benchmark score suggests that final renders or effects processing will be slow. This is not a system for gamers seeking high frame rates at high settings, as the GPU’s performance is comparable to a GeForce GTX 1050, which is a low-tier desktop card from several generations ago. Students in STEM fields or professionals in data science who need to train small to medium machine learning models might find the 304 tensor cores useful, but they will be limited by the overall GPU compute throughput.

For small business workstations that run office productivity suites, web applications, and accounting software, this system is overkill on the CPU side, but the GPU’s low performance is not a hindrance for such tasks. The high CPU performance ensures snappy response in single-threaded applications, and the robust multi-threading will handle background tasks like virus scans and system updates without noticeable slowdown. However, the system’s overall 42nd percentile combined score reflects a mismatch that makes it a poor choice for users whose primary workload is GPU-accelerated rendering or gaming.

Balance and Bottleneck

The performance data reveals a significant imbalance in this build. The CPU, with a 62nd percentile score, is a high-performing component. The GPU, with a 21st percentile score, is a low-performing component relative to the database. This creates a system where the GPU is the clear bottleneck in any GPU-bound workload. The benchmark scores show that the CPU is capable of delivering compute results at a level competitive with server processors, but the GPU is only able to perform at a level comparable to a GeForce GTX 1050.

In gaming, this means that for most modern titles, the GPU will hit its performance ceiling long before the CPU is stressed. The CPU’s strong single-core performance (3156 in Cinebench R23) will not be utilized because the GPU cannot render frames fast enough to demand more CPU instruction throughput. The FPS will be limited by the GPU’s rasterization power. Conversely, in CPU-bound workloads such as code compilation or CPU-based 3D rendering, the CPU will operate at its full potential, and the GPU will remain largely idle, with its only role being display output. The 16 GB VRAM is a positive for GPU compute tasks, but the low compute throughput (41.15 TFLOPS FP32) and low benchmark score will cap the speed at which those tasks are completed.

The 120 W TDP of the GPU, which is a high power draw, does not translate into high performance in this data. This indicates a significant efficiency issue or a driver/configuration problem in the database’s measurement. The system’s combined percentile of 42 is a direct result of this bottleneck, pulling the overall system performance down from the CPU’s level. For a balanced system, the GPU would need to score in a similar percentile to the CPU; instead, it is 41 points lower, making the RTX 5000 Mobile Ada Generation the definitive limiting factor for the majority of graphics-intensive applications.

Build Overview

This build pairs the Intel Core i7-12800HE, a 14-core Alder Lake mobile processor, with the NVIDIA RTX 5000 Mobile Ada Generation, a professional-grade mobile GPU with 16 GB of VRAM. It is classified as a laptop build. The CPU is a strong performer, sitting in the 62nd percentile of all CPUs, while the GPU is a weak performer, sitting in the 21st percentile. The overall system’s combined percentile is 42.

The CPU is an active, current-generation part, and the GPU is also listed as active, with a release date of March 20, 2023. The combination is technically a laptop-class workstation, given the CPU and GPU TDPs of 45 W and 120 W, respectively. However, the performance tier is defined by the GPU’s low score, which anchors the entire system’s 3D performance to that of a very old, low-end desktop GPU. The CPU’s performance tier is significantly higher, making this a lopsided configuration that prioritizes processor power over graphics power. This is not a high-performance gaming laptop, nor is it a balanced creator laptop; it is a machine where the CPU is the star, and the GPU provides a large memory buffer but lacks the throughput to be considered competitive in modern graphics benchmarks.

Gaming Performance

The FACT PACK contains no measured FPS data for this exact CPU and GPU combination. Therefore, all FPS figures discussed here are estimates based on the component benchmark scores. The GPU’s 3DMark Steel Nomad score of 3596, which places it in the 21st percentile and comparable to a GeForce GTX 1050, suggests that gaming performance will be low by modern standards. This GPU is not designed for high-refresh gaming at high resolutions.

For 1080p gaming, the estimated FPS in modern AAA titles would likely be in the low-to-mid range at medium to high settings, with many games struggling to maintain 60 FPS. Esports titles like Counter-Strike or Valorant, which are less demanding, could run at higher frame rates, but the GPU’s low benchmark score suggests it will still be a limiting factor at high refresh rates (144Hz+). At 1440p, the GPU would be even more stressed, and most games would require low settings to achieve playable frame rates. At 4K, the performance would be insufficient for smooth gameplay, and even with the 16 GB VRAM, the raw compute power is not there to push high resolutions. The CPU’s high single-core score is of little benefit here, as the GPU will be the primary bottleneck in almost every gaming scenario. Users should expect a gaming experience comparable to a budget desktop setup from 2016, not a modern high-end laptop.

Usage Scenarios

High-refresh gaming: This build is not suitable for high-refresh gaming. The GPU’s 21st percentile benchmark score, comparable to a GeForce GTX 1050, indicates it will struggle to maintain high frame rates in modern titles, and the CPU’s strength cannot compensate for the GPU’s low rendering throughput.

Streaming: The CPU’s strong multi-core performance (22360 in Cinebench R23) is well-suited for software-based video encoding for streaming, as it can handle the encoding workload without impacting game performance. However, the low GPU performance will limit the game quality and frame rate that can be streamed, making the overall streaming experience poor for modern games.

Video editing: The CPU’s 14 cores will accelerate timeline editing and effects processing in applications like Premiere Pro or DaVinci Resolve. The 16 GB of VRAM on the GPU is beneficial for working with high-resolution footage and complex effects, but the GPU’s low compute score will slow down final renders and GPU-accelerated effects.

3D rendering: In CPU-based renderers, this system will perform well, with the i7-12800HE’s 62nd percentile score providing solid performance. In GPU-based renderers like Octane or V-Ray GPU, the RTX 5000’s 41.15 TFLOPS of FP32 power is present, but the low benchmark score suggests real-world render times will be much slower than expected for a card with this specification.

Software development: This is a strong scenario for this build. The CPU’s high multi-threaded and single-threaded scores will significantly speed up code compilation and test execution, making it an excellent choice for developers who need a portable workstation for programming tasks.

Student and office work: For general productivity, web browsing, and document editing, the system is overpowered on the CPU side, but this ensures a very responsive experience. The GPU’s low performance is irrelevant for these tasks, so the system will function well, though it is an expensive and power-hungry option for such light workloads.