SYSTEM ANALYZER

Rate My PC: Intel Core i5-13400F + NVIDIA RTX 4000 Ada Generation

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

93 / 100
ULTIMATE READY

Apex Performer

Top 7% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
87%
VS
GPU
99%
PROCESSOR

Intel Core i5-13400F

25,292 Benchmark Score
Top 13% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 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
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Performance Insights

Tips to maximize your system

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 i5-13400F + NVIDIA RTX 4000 Ada Generation

This pairing combines Intel's 10-core Raptor Lake desktop processor with NVIDIA's workstation-class Ada Lovelace GPU, targeting a desktop build that ranks in the 86th percentile overall. The FACT PACK contains no measured FPS rows for this exact combination, so all gaming frame-rate figures below are estimates derived from the benchmark scores, not measured results. The CPU's 77th percentile standing and the GPU's 95th percentile standing suggest a configuration where the processor is the more likely constraint in graphics-bound scenarios, while the GPU dominates in compute-heavy workloads.

Gaming Performance

No measured FPS data exists for this CPU+GPU combination, so all frame-rate expectations are inferred from the synthetic benchmark scores. The GPU's Geekbench OpenCL score of 146,593 and Vulkan score of 123,842, combined with its 95th percentile ranking among all GPUs, indicate strong raw compute that should translate to high frame rates at 1440p and 4K in most titles. The CPU's 3DMark scores — 7,314 at 16 threads, 5,591 at 8 threads, and 960 single-thread — provide sufficient single-core performance for gaming, though the gap between the CPU's 77th and GPU's 95th percentile suggests that at lower resolutions, the processor may cap frame rates.

At 1080p, expect the i5-13400F to be the limiting factor in CPU-intensive scenes. The single-thread score of 960 in 3DMark and 3,191 in Cinebench R23 single-core place it in the mid-range for desktop processors, meaning esports titles at high refresh rates may not fully saturate the RTX 4000 Ada's capabilities. The 20 MB shared L3 cache helps with game asset streaming, but the 10-core/16-thread configuration (6 performance and 4 efficiency cores implied by the 10-core count) is adequate rather than exceptional for high-FPS gaming.

At 1440p and 4K, the GPU becomes the dominant factor. The RTX 4000 Ada's 26.73 TFLOPS FP32 throughput and 360.0 GB/s memory bandwidth should deliver smooth frame rates at these resolutions, with the 20 GB GDDR6 VRAM providing ample headroom for high-resolution textures. The 48 RT cores and 192 tensor cores support ray tracing and DLSS, though the workstation-class drivers may prioritize stability over raw gaming optimizations. For 4K gaming with ray tracing enabled, the GPU's 139.2 GPixel/s pixel rate should maintain playable frame rates, while the CPU's 3DMark scores suggest it can keep up with the GPU's output at these higher resolutions.

FAQ

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

A: The build ranks in the 86th percentile overall, indicating it outperforms roughly 86% of all tracked CPU+GPU combinations in the benchmark database.

Q: How does the CPU compare to its closest rivals?

A: The i5-13400F has an average benchmark score of 25,292, which is essentially tied with the AMD Ryzen 9 6900HS (25,284, 0% delta), 0.3% behind the Intel Core 5 120 (25,362) and AMD Ryzen 5 5600X3D (25,365), and 0.4% ahead of the AMD Ryzen 7 6800H (25,201).

Q: How much VRAM does the RTX 4000 Ada Generation have?

A: The GPU features 20 GB of GDDR6 memory on a 160-bit bus, delivering 360.0 GB/s of memory bandwidth — sufficient for large datasets and high-resolution textures in workstation and gaming applications.

Q: What is the GPU's performance percentile and how does it compare to rivals?

A: The RTX 4000 Ada Generation sits in the 95th percentile of all GPUs. Its average benchmark score of 135,218 is virtually identical to the NVIDIA A10M (135,230, 0% delta), 0.1% ahead of the AMD Radeon PRO W6800 (135,396), 0.4% ahead of the AMD Radeon Pro W6800X Duo (135,774), and 0.9% ahead of the AMD Radeon PRO V620 (136,472).

Q: What memory types does the CPU support?

A: The Intel Core i5-13400F supports both DDR4 and DDR5 memory in dual-channel configuration. ECC memory is not supported.

Q: What is the CPU's TDP and the GPU's power draw?

A: The CPU has a 65 W TDP, while the GPU has a 130 W TDP. The suggested power supply for the GPU is 300 W, indicating a system with modest power requirements.

Q: Does the CPU have integrated graphics?

A: No, the i5-13400F has no integrated graphics. A discrete GPU is required for display output.

CPU Analysis

The Intel Core i5-13400F is a 10-core, 16-thread desktop processor built on the Raptor Lake architecture, manufactured on Intel's 10 nm process with a 215 mm² die size. It operates at a base clock of 2.50 GHz and boosts up to 4.60 GHz, with a 65 W TDP. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 20 MB L3 cache. The processor supports DDR4 and DDR5 memory in dual-channel mode, with PCIe Gen 5 connectivity providing 16 CPU lanes.

Benchmark results show a processor that scales well with thread count. The 3DMark scores progress from 1,880 at 2 threads to 7,314 at 16 threads, demonstrating efficient multi-threading. Cinebench R23 results are particularly strong: a multi-core score of 22,604 versus a single-core score of 3,191 indicates that the chip's multi-threaded performance is roughly 7 times its single-threaded throughput. Geekbench scores of 11,068 multi-core and 1,996 single-core reinforce this pattern.

For real workloads, the PassMark results provide insight: integer math scores of 79,942 and floating-point math of 60,539 indicate strong number-crunching capabilities, while data compression at 311,364 and encryption at 16,608 show solid data processing throughput. The extended instructions score of 19,847 suggests good SIMD performance for media encoding and scientific computing. The single-thread score of 3,634 in PassMark, while not class-leading, is sufficient for everyday responsiveness and gaming.

The 4.60 GHz boost clock is the key advantage for lightly-threaded tasks, while the 10-core configuration handles multi-threaded workloads competently. The processor sits in the 77th percentile of all CPUs, indicating it outperforms a majority of processors but is not at the top end. Its nearest rivals — all within 0.4% in average score — include laptop-class chips like the Ryzen 9 6900HS and Ryzen 7 6800H, as well as desktop parts like the Ryzen 5 5600X3D, positioning it as a solid mid-range desktop option.

Upgrade Path and Platform

The i5-13400F uses Intel Socket 1700, the platform for 12th and 13th generation Core processors. This socket supports both DDR4 and DDR5 memory, giving builders flexibility in memory choice depending on motherboard selection. The PCIe Gen 5 support with 16 CPU lanes provides modern connectivity for high-bandwidth GPUs and NVMe storage, though the RTX 4000 Ada Generation itself uses PCIe 4.0 x16.

The 65 W TDP of the CPU is modest, meaning most air coolers will suffice for thermal management. The GPU's 130 W TDP and suggested 300 W power supply indicate a system that can run on a mid-range PSU without requiring high-end power delivery. The single-slot GPU design with a 1x 16-pin power connector simplifies physical installation.

For upgrades, the platform offers limited headroom. The Socket 1700 socket is at the end of its generation with Raptor Lake, meaning future processor upgrades would require a new motherboard. Within the current generation, moving to a higher-core-count Raptor Lake processor would be possible, but the 10-core/16-thread configuration already provides balanced performance. The GPU, however, has more upgrade headroom — the 300 W PSU suggestion leaves room for a more power-hungry card if needed, and the PCIe 4.0 x16 interface is compatible with current and near-future GPUs.

Memory upgrades are the most straightforward path: switching from DDR4 to DDR5 (or increasing capacity) could improve memory bandwidth, which the CPU's dual-channel controller supports. The 20 GB VRAM on the GPU is already substantial, so memory capacity is unlikely to be a bottleneck for most workloads.

Balance and Bottleneck

The data shows a clear imbalance in this pairing: the GPU sits in the 95th percentile while the CPU is in the 77th percentile, a gap of 18 points. This suggests the CPU is the primary bottleneck in most workloads, particularly those that are lightly threaded or latency-sensitive. In gaming, this means frame rates at 1080p will likely be CPU-limited, while at higher resolutions the GPU can stretch its legs.

The CPU's 3DMark scores illustrate the threading scaling: 2-thread performance is 1,880, 4-thread is 3,459, 8-thread is 5,591, and 16-thread is 7,314. The jump from 8 to 16 threads (a 30.8% increase) indicates that the efficiency cores contribute meaningfully to multi-threaded workloads but are less impactful than the performance cores. For gaming, which typically uses fewer than 8 threads, the CPU's performance is solid but not exceptional.

The GPU's Geekbench scores — 146,593 OpenCL and 123,842 Vulkan — show a large gap between compute and graphics API performance, suggesting the card is optimized for compute workloads. In gaming, the Vulkan score is more relevant, and the 123,842 figure is strong enough to push high frame rates at 1440p and above. The bottleneck shifts from CPU to GPU as resolution increases, which is the typical behavior for a mid-range CPU paired with a high-end GPU.

For productivity workloads, the balance is more favorable. Tasks like video encoding, 3D rendering, and scientific computing that use many threads will leverage the CPU's 16 threads, while GPU-accelerated tasks will benefit from the RTX 4000 Ada's compute power. The combined 86th percentile ranking indicates that for a mix of workloads, this pairing is well above average.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the AD104 chip using TSMC's 5 nm process, with 35,800 million transistors on a 294 mm² die. It features 6,144 shading units, 192 texture mapping units, and 64 raster operation processors, delivering 26.73 TFLOPS of FP32 performance. The clock speeds are 1,500 MHz base and 2,175 MHz boost, with memory running at 2,250 MHz (18 Gbps effective) across a 160-bit bus.

The 20 GB of GDDR6 memory with 360.0 GB/s bandwidth is a defining feature. This capacity is substantial for workstation tasks like large 3D scenes, machine learning models, and high-resolution video editing. The pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s indicate strong fill rates for rendering applications.

Ray tracing and tensor hardware are prominent: 48 RT cores and 192 tensor cores support hardware-accelerated ray tracing, DLSS, and AI workloads. The FP16 performance matches FP32 at 26.73 TFLOPS (1:1), which is notable for compute tasks that benefit from reduced precision. The DirectX 12 Ultimate support (12_2), OpenGL 4.6, and Vulkan 1.4 provide broad API compatibility.

The Geekbench OpenCL score of 146,593 places it in the 95th percentile of all GPUs, while the Vulkan score of 123,842 is slightly lower but still strong. Its nearest rivals — the NVIDIA A10M, AMD Radeon PRO W6800, Radeon Pro W6800X Duo, and Radeon PRO V620 — are all within 0.9% of its average score, indicating a tightly contested performance tier. The 130 W TDP is efficient for the performance level, making the card suitable for single-slot workstation builds where power density is a concern.

Benchmark Performance

The CPU's average benchmark score is 25,292, placing it in the 77th percentile of all CPUs. Its nearest rival, the AMD Ryzen 9 6900HS, scores 25,284 (0% delta), while the Intel Core 5 120 scores 25,362 (-0.3%), the AMD Ryzen 5 5600X3D scores 25,365 (-0.3%), and the AMD Ryzen 7 6800H scores 25,201 (+0.4%). The CPU's strongest results are in Cinebench R23 multi-core (22,604) and PassMark multi-thread (25,032), while its single-thread performance is 3,191 in Cinebench R23 and 3,634 in PassMark.

The GPU's average benchmark score is 135,218, placing it in the 95th percentile of all GPUs. Its nearest rivals are the NVIDIA A10M (135,230, 0% delta), AMD Radeon PRO W6800 (135,396, -0.1%), AMD Radeon Pro W6800X Duo (135,774, -0.4%), and AMD Radeon PRO V620 (136,472, -0.9%). The Geekbench OpenCL score of 146,593 is the GPU's strongest result, while Vulkan scores 123,842.

Combined, this pairing achieves an 86th percentile ranking. The CPU contributes a solid mid-range foundation, while the GPU boosts the overall system into the top tier. The 18-point gap between the GPU's 95th and CPU's 77th percentile is significant — it means the system's overall ranking is dragged down by the CPU, and any workload that fully utilizes the GPU will see the CPU struggle to keep pace. Conversely, CPU-bound tasks will underutilize the GPU's capabilities.

Build Overview

This is a desktop build combining Intel's Core i5-13400F, a 10-core/16-thread Raptor Lake processor, with NVIDIA's RTX 4000 Ada Generation, a workstation GPU based on Ada Lovelace architecture. The CPU targets the mid-range desktop segment with a 65 W TDP and a launch MSRP of $196, while the GPU is a professional-grade card with a 130 W TDP and 20 GB of GDDR6 memory.

The combined 86th percentile ranking places this system in the upper tier of desktop builds. The CPU's 77th percentile is respectable — it outperforms three-quarters of all processors — while the GPU's 95th percentile is elite, outperforming 95% of all GPUs. This creates a system that is stronger in GPU-accelerated workloads than in CPU-bound tasks.

The class distinction is important: this is a desktop build, not a laptop or workstation form factor. The GPU's single-slot design and 245 mm length make it suitable for compact desktop cases, while the CPU's 65 W TDP allows for modest cooling solutions. The combination is unusual in pairing a mainstream desktop CPU with a workstation GPU, suggesting a build optimized for professional compute tasks rather than pure gaming.

Who Should Build It

The RTX 4000 Ada Generation's 95th percentile GPU performance makes this build attractive for professionals who need workstation-class compute. The 20 GB VRAM and 360.0 GB/s bandwidth support large datasets in scientific computing, machine learning inference, and 3D rendering. The 48 RT cores and 192 tensor cores enable hardware-accelerated ray tracing and AI workloads, making this suitable for architectural visualization, product design, and content creation.

Gamers at 1440p and 4K will benefit from the GPU's strong compute performance, though the CPU's 77th percentile may limit frame rates at 1080p. Esports enthusiasts seeking very high refresh rates should look elsewhere, but those prioritizing resolution and visual quality over raw FPS will find this capable. The 26.73 TFLOPS FP32 and FP16 performance supports video editing, color grading, and effects work in applications that leverage GPU acceleration.

Software developers working on GPU-accelerated applications, data scientists training models, and researchers running simulations will find the compute performance appropriate. Students in engineering, computer science, or digital arts programs can use this for coursework involving rendering, data analysis, or AI experimentation. Small business workstations handling CAD, video production, or data processing would benefit from the combination of CPU multi-threading and GPU compute.

Usage Scenarios

High-refresh gaming: The GPU's Vulkan score of 123,842 and 95th percentile ranking suggest strong frame rates at 1440p and 4K, but the CPU's single-thread score of 960 in 3DMark may cap performance at 1080p. Expect smooth gameplay at high resolutions with settings maxed out, but not competitive-tier frame rates at low resolutions.

Streaming: The CPU's 16 threads handle encoding workloads well, with a Cinebench R23 multi-core score of 22,604 supporting concurrent game and encode processes. The GPU's 192 tensor cores can offload encoding and AI enhancements, though the workstation-class drivers may not offer the same streaming optimizations as consumer GeForce cards.

Video editing: The GPU's 20 GB VRAM and 360.0 GB/s bandwidth handle 4K and 8K timelines with multiple effects layers. The CPU's PassMark data compression score of 311,364 and integer math of 79,942 support fast video encoding and decoding, while the GPU's FP32 and FP16 compute accelerates effects and color grading.

3D rendering: The RTX 4000 Ada's 48 RT cores and 26.73 TFLOPS FP32 throughput deliver strong ray-traced rendering performance. The 20 GB VRAM accommodates complex scenes, while the CPU's 10 cores provide adequate scene preparation and geometry processing. Expect render times to be GPU-bound.

Software development: The CPU's 16 threads compile code efficiently, with a Geekbench multi-core score of 11,068 supporting parallel build processes. The GPU's compute capabilities benefit machine learning development, and the 20 GB VRAM allows training of moderately sized models locally.

Student and office work: The CPU's single-thread performance of 3,191 in Cinebench R23 and 3,634 in PassMark ensures responsive everyday computing, while the 65 W TDP keeps power costs low. The GPU is overkill for office tasks but provides headroom for future demanding applications, though the lack of integrated graphics means the discrete GPU must always be active.