SYSTEM ANALYZER

Rate My PC: Intel Core i9-13950HX + NVIDIA RTX 5000 Mobile Ada Generation

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

86 / 100
HIGH-END

Power Build

Top 14% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
93%
VS
GPU
80%
PROCESSOR

Intel Core i9-13950HX

44,342 Benchmark Score
Top 7% Market Ranking
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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
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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

# Intel Core i9-13950HX + NVIDIA RTX 5000 Mobile Ada Generation

This mobile workstation pairing combines Intel's 24-core Raptor Lake-HX flagship with NVIDIA's professional Ada Lovelace GPU, creating a laptop platform that sits at the 55th percentile overall among all tested CPU+GPU combinations. The CPU is a top-tier performer at the 88th percentile among all processors, while the GPU occupies a relatively modest 21st percentile position among all graphics cards, making this a decidedly CPU-forward configuration where compute throughput outpaces graphical rendering capability.

FAQ

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

A: The build ranks at the 55th combined percentile across all tested system configurations, placing it slightly above the midpoint of the database's performance distribution for laptop platforms.

Q: How does the Intel Core i9-13950HX compare to its nearest rivals in average benchmark score?

A: The CPU's average benchmark score of 44342 is effectively tied with the AMD Ryzen AI Max 385 (44309, 0.1% faster), sits 0.2% ahead of the Intel Core i5-13600 (44240), and trails the Intel Core Ultra X9 388H by 0.3% (44466) and the AMD Ryzen 5 7500X3D by 0.5% (44573).

Q: What is the GPU's nearest rival based on 3DMark Steel Nomad DX12 scores?

A: The RTX 5000 Mobile Ada Generation scores 3596 in 3DMark Steel Nomad DX12, placing it 0.1% ahead of the NVIDIA GeForce GT 545 (3594), 0.6% behind the NVIDIA GeForce GT 735M (3616), 0.9% behind the GTX 1050 (3629), and 1.5% behind the AMD Radeon HD 6770 (3649).

Q: What memory types does the CPU support?

A: The Intel Core i9-13950HX supports both DDR4 and DDR5 memory in a dual-channel configuration, and it also supports ECC memory, which is notable for workstation reliability requirements.

Q: What is the GPU's memory configuration?

A: The RTX 5000 Mobile Ada Generation features 16 GB of GDDR6 memory on a 256-bit bus, delivering a bandwidth of 576.0 GB/s with memory clocked at 2250 MHz (18 Gbps effective).

Q: What PCIe capabilities does the CPU offer?

A: The CPU provides PCIe Gen 5 with 20 lanes (CPU only), while the GPU connects via PCIe 4.0 x16, indicating a generation gap between the CPU's native interface and the GPU's bus implementation.

Q: Are there measured FPS results for this specific combination?

A: No, the FACT PACK contains no measured FPS data for this exact CPU+GPU pairing, so all gaming performance figures presented in this analysis are estimates derived from the benchmark scores.

Usage Scenarios

For high-refresh gaming, this platform presents a mixed picture. The CPU's single-thread score of 1102 in 3DMark single-thread and 3899 in PassMark single-thread indicates strong per-core performance that can feed frames rapidly, but the GPU's 21st percentile ranking suggests that at higher resolutions the graphics card will become the limiting factor. At 1080p with lower detail settings, the CPU's strength could support high frame rates, but the GPU's moderate standing means users should temper expectations for sustained triple-digit FPS in demanding titles.

Streaming workloads benefit substantially from the CPU's massive thread count. With 32 threads and a Cinebench R23 multi-core score of 28681, the i9-13950HX can simultaneously handle game encoding, stream encoding, and background applications without bottlenecking. The PassMark multi-thread score of 41614 reinforces this capability, indicating that x264 or x265 software encoding while gaming is entirely feasible on this platform, potentially reducing the need for GPU-based NVENC offloading.

Video editing represents one of the strongest use cases for this configuration. The CPU's Cinebench R20 multi-core score of 14462 and R15 multi-core score of 4529 demonstrate excellent rendering throughput for timeline previews and export tasks. The GPU's 16 GB VRAM provides ample headroom for 4K timelines, effects stacks, and color grading, even if the GPU's raw compute (41.15 TFLOPS FP32) is not class-leading. The combined platform should handle multi-layer 4K projects with reasonable responsiveness.

3D rendering workloads reveal a clear division of labor. CPU-based rendering in applications like Blender's Cycles or V-Ray will leverage the i9-13950HX's 24 cores and 32 threads, with the Cinebench R23 multi-core score of 28681 confirming strong performance in heavily threaded compute tasks. GPU-accelerated rendering will be limited by the RTX 5000's 41.15 TFLOPS FP32 throughput and 76 RT cores, which are respectable but place the GPU at only the 21st percentile among all graphics cards, meaning faster options exist for pure GPU rendering.

Software development benefits from the CPU's compile throughput and single-thread responsiveness. The 3DMark 16-thread score of 8903 and 8-thread score of 6732 indicate strong parallel compilation performance, while the single-thread score of 1102 ensures snappy IDE interactions. The PassMark integer math score of 147091 and extended instructions score of 29779 further confirm the CPU's capability for code compilation, unit testing, and virtualization workloads.

Student and office work represents the most overqualified use case for this hardware. The CPU's PassMark data compression score of 510258 and random string sorting score of 57274 handle document processing and spreadsheet calculations with massive headroom, while the GPU's capabilities are largely superfluous for productivity applications. The 55W CPU TDP and 120W GPU TDP mean this platform will consume significant power for tasks that a modest ultraportable could handle, making it a poor efficiency choice for purely academic use.

Upgrade Path and Platform

The Intel Core i9-13950HX uses the Intel BGA 1964 socket, which is a soldered mobile platform, meaning CPU upgrades are not feasible in the traditional sense. This is a fixed configuration for the life of the laptop. The 55W TDP for the CPU and 120W TDP for the GPU establish the thermal and power envelope that the laptop chassis must accommodate, and there is no suggested PSU figure provided, indicating that power delivery is integrated into the laptop's design rather than modular.

Memory support includes both DDR4 and DDR5 in dual-channel configuration, with ECC capability available. This flexibility allows system integrators to choose between more affordable DDR4 or higher-bandwidth DDR5, though the motherboard design will dictate which is actually populated. The 36 MB shared L3 cache and per-core L2 cache of 2 MB provide substantial on-die storage for frequently accessed data, reducing memory bandwidth pressure in cache-friendly workloads.

PCIe Gen 5 with 20 lanes (CPU only) represents forward-looking connectivity for NVMe storage and other high-bandwidth peripherals, though the GPU itself connects via PCIe 4.0 x16, which is still sufficient for the RTX 5000's bandwidth requirements. A sensible next upgrade path for this platform would focus on maximizing memory capacity and speed within the DDR4/DDR5 options available, as well as ensuring the laptop's storage subsystem takes advantage of the PCIe Gen 5 lanes for NVMe SSDs.

The GPU's 16 GB VRAM is substantial for a mobile workstation, but the 21st percentile ranking suggests that users seeking more graphical horsepower would need to move to a different laptop platform entirely, as the RTX 5000 Mobile Ada Generation is already a high-end professional mobile GPU. The 120W TDP is moderate for a mobile GPU, and the "IGP" slot width indicates this is an integrated (soldered) GPU solution rather than a modular MXM design, further limiting upgradeability.

Gaming Performance

No measured FPS data exists for this CPU+GPU combination in the FACT PACK. All gaming performance figures presented here are estimates derived from the benchmark scores of both components. The CPU's strong single-thread performance (3DMark single-thread score of 1102, PassMark single-thread of 3899) suggests excellent frame pacing and minimal CPU-side bottlenecks in most titles, while the GPU's 21st percentile standing among all graphics cards indicates that maximum detail settings at high resolutions will be constrained.

At 1080p with high settings, the platform should deliver playable frame rates in most titles, with the CPU's 32 threads ensuring smooth minimum frame times even in CPU-heavy scenes. The GPU's 16 GB VRAM eliminates any concern about texture memory overflow at this resolution, and the 576.0 GB/s memory bandwidth supports high texture throughput. However, the GPU's modest score relative to rivals like the GTX 1050 (0.9% faster in Steel Nomad) suggests that this is not a high-refresh gaming powerhouse.

At 1440p, the GPU becomes the primary constraint. The 41.15 TFLOPS FP32 compute and 236.9 GPixel/s pixel rate are adequate for medium-to-high settings, but users seeking 144Hz or higher refresh rates will need to reduce detail settings. The 76 RT cores provide ray tracing capability, but the GPU's overall performance tier suggests that enabling RT effects will significantly impact frame rates in modern titles.

At 4K, this platform is not well-suited for high-refresh gaming. The GPU's 21st percentile position means it will struggle to maintain 60 FPS at ultra settings in demanding titles, and users should expect to rely on DLSS or similar upscaling techniques to achieve playable performance. The CPU's performance is effectively irrelevant at this resolution, as the GPU will be the definitive bottleneck in nearly all gaming scenarios.

Balance and Bottleneck

This platform exhibits a pronounced CPU-favored imbalance. The i9-13950HX sits at the 88th percentile among all CPUs, while the RTX 5000 Mobile Ada Generation occupies the 21st percentile among all GPUs. The 67-percentage-point gap between the two components' percentile positions indicates that the GPU will be the limiting factor in most graphics-intensive workloads, while the CPU's capabilities will remain largely untapped in gaming scenarios.

The benchmark data confirms this asymmetry. The CPU's Cinebench R23 multi-core score of 28681 and PassMark multi-thread score of 41614 place it in elite territory for compute-heavy tasks, while the GPU's 3DMark Steel Nomad DX12 score of 3596 places it in the lower quartile of graphics cards. In gaming, the FPS scaling between resolutions will be primarily governed by GPU performance, meaning that CPU-bound scenarios will only occur at very low resolutions and detail settings where the GPU can keep pace with the CPU's frame generation.

For content creation workloads, the balance is more nuanced. CPU-based rendering tasks will be strongly CPU-favored, leveraging the i9's 24 cores and 32 threads effectively. GPU-accelerated workloads will be limited by the RTX 5000's moderate compute throughput, though its 16 GB VRAM and 76 RT cores provide functional capability for professional applications. The PassMark floating point math score of 105553 and integer math score of 147091 further demonstrate CPU dominance in compute tasks, while the GPU's 41.15 TFLOPS FP32 is respectable but not exceptional.

Memory bandwidth presents another potential bottleneck. The CPU supports dual-channel DDR4 or DDR5, with no specific bandwidth figure provided, while the GPU has a dedicated 576.0 GB/s memory bandwidth. In mixed workloads that stress both CPU and GPU memory subsystems, the shared system memory for the CPU could become a constraint, though the GPU's dedicated VRAM mitigates this concern for graphics-intensive tasks.

Who Should Build It

This platform targets professionals who require exceptional CPU compute capability in a mobile form factor but have relatively modest GPU requirements. Content creators working primarily with CPU-based rendering engines will find the i9-13950HX's 24 cores and 32 threads, coupled with a Cinebench R23 multi-core score of 28681, to be a compelling asset for reducing render times. The 36 MB L3 cache and PassMark data compression score of 510258 further support large data set manipulation tasks.

Software developers and engineers benefit significantly from this configuration. The CPU's 3DMark 16-thread score of 8903 and PassMark integer math score of 147091 indicate strong parallel compilation performance, while the single-thread score of 1102 ensures responsive IDE interactions. The 16 GB GPU VRAM provides ample space for virtual machines, container runtimes, and local database instances, though the GPU's modest compute performance means GPU-accelerated development tasks will not be a primary strength.

Students in engineering or scientific computing fields may find value in the CPU's compute capabilities, particularly for simulations, data analysis, and mathematical modeling. The PassMark floating point math score of 105553 and physics score of 2668 demonstrate capability for numerical workloads, while the ECC memory support adds reliability for long-running computations. However, the platform's power consumption and cost make it a less practical choice for general student use.

Small business workstations handling CPU-intensive tasks such as financial modeling, data processing, or software compilation will benefit from the i9-13950HX's multi-threaded performance. The PassMark data encryption score of 30805 and extended instructions score of 29779 support secure transaction processing and cryptographic workloads. The GPU's capabilities are largely secondary for these use cases, making the 21st percentile ranking less consequential than it would be for gaming or GPU rendering.

Benchmark Performance

The Intel Core i9-13950HX achieves an average benchmark score of 44342, placing it at the 88th percentile among all CPUs. Its nearest rivals demonstrate how tightly clustered this performance tier is: the AMD Ryzen AI Max 385 scores 44309 (0.1% slower), the Intel Core i5-13600 scores 44240 (0.2% slower), the Intel Core Ultra X9 388H scores 44466 (0.3% faster), and the AMD Ryzen 5 7500X3D scores 44573 (0.5% faster). This indicates that the i9-13950HX is performance-competitive with a broad range of desktop and mobile processors despite being a mobile part.

Individual CPU benchmark results reveal the performance profile. The 3DMark suite shows scaling from 1102 (single-thread) to 8903 (16-threads) to 11926 (max threads), demonstrating effective multi-core utilization. Cinebench results reinforce this, with R23 multi-core scoring 28681 and single-core scoring 2096, while R20 scores 14462 and 2041 respectively. PassMark tests show a multi-thread score of 41614, single-thread of 3899, and specialized scores including floating point math at 105553 and integer math at 147091.

The NVIDIA RTX 5000 Mobile Ada Generation achieves an average benchmark score of 3596 in 3DMark Steel Nomad DX12, placing it at the 21st percentile among all GPUs. Its nearest rivals are the NVIDIA GeForce GT 545 (3594, 0.1% slower), NVIDIA GeForce GT 735M (3616, 0.6% faster), NVIDIA GeForce GTX 1050 (3629, 0.9% faster), and AMD Radeon HD 6770 (3649, 1.5% faster). These comparators are all older or lower-tier graphics solutions, indicating that the RTX 5000's Steel Nomad score is surprisingly modest for a professional Ada Lovelace GPU.

The combined percentile of 55 places this platform slightly above the midpoint of all tested configurations. This overall ranking reflects the dominance of the CPU's 88th percentile performance counterbalanced by the GPU's 21st percentile standing, with the combined metric indicating that the platform is well-suited for CPU-heavy workloads but not for graphics-intensive tasks.

Build Overview

This is a laptop-class build (buildClass: laptop) pairing Intel's top-tier Core i9-13950HX mobile processor with NVIDIA's professional RTX 5000 Mobile Ada Generation GPU. The CPU is a 24-core, 32-thread Raptor Lake-HX part with a boost clock of 5.50 GHz and 36 MB of shared L3 cache, while the GPU features 16 GB of GDDR6 memory on a 256-bit bus with 576.0 GB/s of bandwidth.

The combined 55th percentile ranking indicates that this platform is neither a budget nor a flagship system in the overall database, but rather a mid-to-upper-tier configuration with specific strengths. The CPU's 88th percentile position makes it one of the strongest mobile processors available, while the GPU's 21st percentile position is its notable weakness. This is a system that will excel at CPU-bound professional workloads but will not deliver class-leading gaming or GPU-accelerated rendering performance.

The platform's architecture leverages Intel's Raptor Lake-HX design on a 10 nm process with a 257 mm² die size, paired with NVIDIA's Ada Lovelace GPU on a 5 nm TSMC process with 45,900 million transistors across a 379 mm² die. The CPU's 55W TDP and GPU's 120W TDP combine for a substantial thermal footprint that requires adequate laptop cooling. The GPU's "IGP" slot width and lack of power connectors indicate a soldered, non-serviceable design typical of mobile workstations.

CPU Analysis

The Intel Core i9-13950HX is a 24-core, 32-thread processor based on the Raptor Lake architecture (Raptor Lake-HX codename), manufactured on Intel's 10 nm process with a die size of 257 mm². It features a base clock of 2.20 GHz and a boost clock of 5.50 GHz, with a 55W TDP. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. The CPU supports DDR4 and DDR5 memory in dual-channel configuration, includes ECC support, and provides PCIe Gen 5 with 20 lanes (CPU only). Integrated graphics come in the form of UHD Graphics 770, and the multiplier is unlocked for overclocking on supported platforms.

Benchmark results demonstrate the CPU's strengths across various workloads. The Cinebench R23 multi-core score of 28681 places it among the top mobile processors, while the single-core score of 2096 confirms strong per-thread performance. The 3DMark thread scaling from 1102 (single) to 11926 (max threads) shows effective utilization of the 24-core configuration. PassMark results include a multi-thread score of 41614, single-thread score of 3899, floating point math at 105553, and integer math at 147091.

The 88th percentile ranking among all CPUs reflects the i9-13950HX's position as a high-end mobile processor, competing effectively with desktop parts like the Intel Core i5-13600 (0.2% slower) and AMD Ryzen 5 7500X3D (0.5% faster). The 30+ point spread across nearest rivals illustrates that this CPU is in a highly competitive performance band where small differences in benchmark scores translate to nearly identical real-world performance.

For real workloads, the CPU's performance profile indicates excellent suitability for multi-threaded compute tasks. The PassMark data compression score of 510258 and random string sorting score of 57274 suggest strong database and file processing capabilities, while the extended instructions score of 29779 and data encryption score of 30805 support cryptographic and SIMD-heavy workloads. The find prime numbers score of 203 is notably low, indicating that this CPU may not excel at certain integer-based algorithms.

GPU Analysis

The NVIDIA RTX 5000 Mobile Ada Generation is based on the AD103 chip using the Ada Lovelace architecture, manufactured on TSMC's 5 nm process with 45,900 million transistors across a 379 mm² die. It features 9728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. The GPU has a base clock of 1425 MHz and a boost clock of 2115 MHz, with memory clocked at 2250 MHz (18 Gbps effective). Memory configuration includes 16 GB of GDDR6 on a 256-bit bus, providing 576.0 GB/s of bandwidth. The GPU connects via PCIe 4.0 x16 and has a 120W TDP with no external power connectors required (IGP slot width).

The GPU's 3DMark Steel Nomad DX12 score of 3596 places it at the 21st percentile among all GPUs, which is notably low for a professional Ada Lovelace part. The nearest rivals are older or entry-level GPUs including the NVIDIA GeForce GT 545 (0.1% slower), GT 735M (0.6% faster), GTX 1050 (0.9% faster), and AMD Radeon HD 6770 (1.5% faster). This suggests that the Steel Nomad benchmark may not fully capture the GPU's professional capabilities, or that the mobile implementation is significantly power-constrained.

The GPU's compute capabilities include 41.15 TFLOPS FP32 and FP16 (1:1) performance, with a pixel rate of 236.9 GPixel/s and texture rate of 643.0 GTexel/s. The 76 RT cores and 304 tensor cores provide hardware acceleration for ray tracing and AI workloads, respectively. API support includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad software compatibility.

For rendering workloads, the GPU's 16 GB VRAM is a significant advantage, allowing large scenes and high-resolution textures to reside entirely in GPU memory. The 576.0 GB/s bandwidth supports high-throughput data movement for texture streaming and compute workloads. However, the 21st percentile ranking suggests that raw rasterization performance is modest, and the GPU will not compete with higher-tier gaming or workstation graphics solutions in pure rendering throughput.