SYSTEM ANALYZER

Rate My PC: Intel Core i3-13100T + NVIDIA RTX 4000 SFF Ada Generation

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
CPU Bottleneck
CPU
72%
VS
GPU
99%

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

PROCESSOR

Intel Core i3-13100T

3,198 Benchmark Score
Top 28% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 SFF Ada Generation

117,088 Benchmark Score
Top 1% 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 Intel Core i3-13100T and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that sits at the 74th percentile overall, a figure driven almost entirely by the GPU’s exceptional standing. The CPU holds a 53rd percentile rank among all processors, while the GPU commands a 95th percentile position, creating a stark imbalance where the graphics card is the dominant component in almost every performance metric. This configuration is best understood as a workstation-class GPU paired with an entry-level, low-power processor, and the data suggests the CPU will constrain the system’s maximum output in GPU-bound tasks, while the GPU will remain largely underutilized in lightly threaded CPU workloads.

Balance and Bottleneck

The performance asymmetry between the two components is the defining characteristic of this build. The CPU’s average benchmark score of 3198 places it statistically level with the Intel Core i7-9700E, which scores 3197, and the Intel Core i5-1240P, which scores 3202, with delta percentages of 0 and -0.1 respectively. This places the i3-13100T in the middle of the desktop processor pack, capable but not exceptional. In contrast, the GPU’s average benchmark score of 117088 puts it just 0.3% behind the NVIDIA GB10 and 1.6% behind the AMD Radeon PRO W7700, while leading the NVIDIA Tesla V100 SXM2 16 GB by 2.4% and the NVIDIA RTX A5500 Mobile by 2.8%. The GPU is a top-tier performer, and the CPU is a mid-range one; the bottleneck is clear.

In multi-threaded workloads, the CPU’s 4 cores and 8 threads will be the limiting factor. The Cinebench R23 multicore score of 10840 indicates a capable but not overwhelming throughput, and this will throttle the GPU’s potential in applications that scale across both components, such as 3D rendering or video encoding. Conversely, in single-threaded scenarios, the CPU’s boost clock of 4.20 GHz and its Cinebench R23 single-core score of 1530 are respectable, meaning the bottleneck is less severe. For gaming, the CPU will often be the constraint at lower resolutions, where frame generation is CPU-limited, but the GPU’s sheer power means it will still deliver high frame rates. The data indicates a system where the GPU waits for the CPU in complex scenes, and the CPU waits for the GPU in simple ones, with the overall balance favoring the GPU’s capabilities.

Usage Scenarios

High-refresh gaming: The RTX 4000 SFF Ada Generation’s 95th percentile ranking and 19.17 TFLOPS of FP32 performance suggest it can push very high frame rates, but the CPU’s 53rd percentile position means it will likely bottleneck at lower resolutions. At 1440p or 4K, the GPU becomes the primary driver, and the system should deliver smooth, high-refresh experiences in most titles, though the CPU may cause dips in CPU-intensive scenes.

Streaming: The GPU’s Ada Lovelace architecture includes 192 tensor cores and 48 RT cores, which are well-suited for encoding and AI-enhanced features, but the CPU’s modest 4-core, 8-thread configuration will struggle to handle both a game and encoding overhead simultaneously. The system can stream, but the CPU will be a limiting factor for high-bitrate, high-resolution encodes, and users should rely on the GPU’s hardware encoder to offload the work.

Video editing: The GPU’s 20 GB of GDDR6 memory and 280.0 GB/s bandwidth are excellent for timeline scrubbing and effect processing, and its 95th percentile score indicates it can handle complex timelines. However, the CPU’s Cinebench R23 multicore score of 10840 will slow down export and rendering tasks, particularly with heavy codecs. The system is capable for editing but not for fast final renders.

3D rendering: This is the most unbalanced scenario. The GPU’s OpenCL score of 124812 and Vulkan score of 109364 are exceptional, making it a powerhouse for GPU-accelerated renderers like Blender Cycles or Octane. The CPU, however, with its 4 cores and 10840 multicore score, will lag significantly in CPU-based rendering, making hybrid rendering inefficient. The GPU will dominate the workload, and the CPU will be a secondary contributor.

Software development: The CPU’s single-core performance, evidenced by a Geekbench single-core score of 1780, is adequate for compilation and code editing, but the 4-core limit will slow parallel builds. The GPU’s capabilities are largely irrelevant for typical coding tasks, making this a mixed scenario where the CPU is the primary workhorse, and the system is passable but not ideal for large-scale projects.

Student and office work: The CPU’s 35 W TDP and integrated UHD Graphics 730 make it an efficient choice for basic tasks, and its single-core Geekbench score of 1780 is more than sufficient for web browsing, document editing, and spreadsheets. The GPU is massively overkill for this scenario, but the system will handle all office workloads with ease, and the low power consumption is a benefit.

Benchmark Performance

The CPU’s benchmark results paint a picture of a competent entry-level processor. In Cinebench R15, it scores 1092 multicore and 154 single-core; in R20, 4552 multicore and 642 single-core; and in R23, 10840 multicore and 1530 single-core. Its Geekbench scores are 4993 multicore and 1780 single-core. These numbers place it at the 53rd percentile, directly between the Intel Core i7-9700E (3197, 0% delta) and the Intel Core i5-1240P (3202, -0.1% delta), showing it trades blows with older or mobile chips. The GPU, by contrast, is a top-tier performer, scoring 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, placing it at the 95th percentile. It is 0.3% behind the NVIDIA GB10 and 1.6% behind the AMD Radeon PRO W7700, but it beats the NVIDIA Tesla V100 SXM2 16 GB by 2.4% and the NVIDIA RTX A5500 Mobile by 2.8%. The combined picture is one of extreme disparity: a mid-pack CPU paired with a near-flagship GPU, resulting in a system that is only as strong as its weakest link in CPU-bound tasks, but exceptional in GPU-accelerated workloads.

Who Should Build It

This build targets users whose primary workloads are GPU-accelerated and who need a compact, low-power workstation. Gamers at 1440p or 4K will benefit most, as the GPU’s high percentile ranking ensures excellent frame rates at those resolutions, where the CPU bottleneck is less pronounced. Content creators working with video editing or 3D rendering will find the GPU’s 20 GB VRAM and 95th percentile score invaluable for preview and final frame rendering, though they must accept CPU limitations on export times. Software developers who rely on GPU compute for machine learning or data processing will see strong performance, but those doing heavy parallel CPU compilation will be limited. Students and small business workstations will find the system far more powerful than needed for office tasks, but its efficiency and small footprint are advantages. The GPU’s 70 W TDP and lack of power connectors make it ideal for small form factor builds, which is its intended design.

CPU Analysis

The Intel Core i3-13100T is a 4-core, 8-thread processor from the Raptor Lake family, built on Intel’s 10 nm process with a die size of 163 mm². It operates with a base clock of 2.50 GHz and a boost clock of 4.20 GHz, and it has a 35 W TDP, making it a low-power part designed for efficiency. Its cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache. The processor supports both DDR4 and DDR5 memory in a dual-channel configuration and uses the Intel Socket 1700. It includes UHD Graphics 730 integrated graphics and supports PCIe Gen 5 with 20 lanes. Its benchmark scores, such as the Cinebench R23 multicore score of 10840 and single-core score of 1530, reflect a processor that is adequate for everyday tasks and light productivity but is not designed for heavy multi-threaded workloads. The 53rd percentile ranking confirms it is an average performer, and its nearest rivals, like the Intel Core i7-9700E and Intel Core i5-1240P, show it is competitive with older or mobile chips but not a high-end desktop part. For real workloads, this means snappy responsiveness in single-threaded applications, but noticeable delays in multi-threaded rendering or encoding tasks.

Gaming Performance

No measured FPS data exists for this exact CPU-GPU combination. The FACT PACK contains no measured FPS rows, so all FPS figures discussed here are estimates derived from the benchmark scores. Based on the GPU’s 95th percentile ranking and its Geekbench Vulkan score of 109364, the RTX 4000 SFF Ada Generation is capable of very high frame rates in most modern titles. The CPU’s 53rd percentile ranking and Cinebench R23 single-core score of 1530 indicate it can feed the GPU adequately in most games, but it may become a bottleneck in CPU-intensive simulations or at lower resolutions like 1080p. At 1440p and 4K, the GPU is expected to be the primary driver, and the system should deliver smooth, high-refresh gameplay with ray tracing enabled, given the GPU’s 48 RT cores. In esports titles, the CPU’s single-core performance will likely hold frame rates above 144 FPS, but the GPU will remain underutilized. Overall, the gaming experience is expected to be excellent, particularly at higher resolutions, but users should temper expectations for extreme frame rates in CPU-bound scenarios.

FAQ

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

A: The Intel Core i3-13100T has 4 cores and 8 threads.

Q: How does the GPU compare to the NVIDIA RTX A5500 Mobile?

A: The RTX 4000 SFF Ada Generation has an average benchmark score of 117088, which is 2.8% higher than the NVIDIA RTX A5500 Mobile’s score of 113944.

Q: What is the GPU’s memory capacity and type?

A: The GPU has 20 GB of GDDR6 memory with a 160-bit bus width and 280.0 GB/s bandwidth.

Q: Are there measured FPS figures for this build?

A: No, there are no measured FPS figures available for this exact combination. All FPS discussions are estimates based on benchmark scores.

Q: What is the CPU’s TDP?

A: The CPU has a 35 W TDP, making it a low-power part.

Q: What is the GPU’s architecture and process node?

A: The GPU uses the Ada Lovelace architecture and is built on a 5 nm process by TSMC.

Q: What is the combined percentile ranking of this CPU-GPU pair?

A: The combined percentile ranking is 74th, driven by the GPU’s high 95th percentile and the CPU’s lower 53rd percentile.

Build Overview

This is a desktop build pairing an Intel Core i3-13100T processor with an NVIDIA RTX 4000 SFF Ada Generation graphics card. The CPU is a 13th-generation Raptor Lake part, while the GPU is a workstation-class Ada Lovelace card. The build’s combined percentile is 74, which reflects the GPU’s dominance in the pairing. The CPU’s 53rd percentile and the GPU’s 95th percentile create a lopsided configuration where the GPU is the clear star. This is not a balanced gaming or productivity machine; it is a system designed for GPU-accelerated workloads in a compact form factor, leveraging the GPU’s 70 W TDP and dual-slot design for small builds. The overall tier is upper-midrange, but only because the GPU boosts it; the CPU would otherwise place it in the midrange category.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation GPU built on the 5 nm process with 35,800 million transistors on a 294 mm² die. It features 6144 shading units, 192 TMUs, and 64 ROPs, along with 48 RT cores and 192 tensor cores. Its clocks are a base of 720 MHz and a boost of 1560 MHz, with memory running at 1750 MHz (14 Gbps effective). The GPU has 20 GB of GDDR6 memory on a 160-bit bus, providing 280.0 GB/s of bandwidth. Its compute capabilities include 19.17 TFLOPS of FP32 and FP16 performance, with a pixel rate of 99.84 GPixel/s and a texture rate of 299.5 GTexel/s. The card is dual-slot, has no power connectors, and requires a 250 W PSU. Its benchmark scores are strong, with a Geekbench OpenCL score of 124812 and a Vulkan score of 109364, placing it at the 95th percentile. This makes it a top-tier performer for rendering and compute tasks, as evidenced by its 2.4% lead over the NVIDIA Tesla V100 SXM2 16 GB and its proximity to the AMD Radeon PRO W7700. The 20 GB VRAM is ample for large datasets and high-resolution textures, and the 48 RT cores provide solid ray tracing performance. The GPU’s low TDP and lack of power connectors make it ideal for small form factor workstations, and its performance in OpenCL and Vulkan benchmarks indicates it is a formidable choice for professional rendering, scientific compute, and AI workloads.