SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900 + NVIDIA GeForce RTX 5070 SUPER

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

87 / 100
HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
95%
VS
GPU
79%
PROCESSOR

Intel Core i9-13900

60,676 Benchmark Score
Top 5% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5070 SUPER

2,690 Benchmark Score
Top 21% 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

The Intel Core i9-13900 and NVIDIA GeForce RTX 5070 SUPER pairing is a desktop-class build that sits at the 55th combined percentile among all CPU+GPU combinations in the database. This places it in the middle of the performance spectrum, with the CPU being a top-tier part while the GPU lags significantly behind in its own percentile ranking. The data for this specific combination is estimated rather than measured, as no actual FPS rows exist for this exact pairing.

Usage Scenarios

For high-refresh gaming at 1080p, the CPU’s strengths dominate. The Core i9-13900 posts a single-core Geekbench score of 2604 and a Cinebench R23 single-core score of 5355, which are strong indicators of excellent per-thread performance. The 92nd percentile ranking among all CPUs means this processor can feed frames to most graphics cards without holding back. However, the GPU’s 18th percentile ranking and its 3DMark Steel Nomad DX12 score of 2690 suggest that frame rates will be moderate rather than extreme, so users targeting very high refresh rates at 1080p should expect the graphics card to be the limiting factor.

For 1440p gaming, the balance shifts slightly toward the GPU. The RTX 5070 SUPER’s 18 GB of GDDR7 memory and 672.0 GB/s bandwidth provide ample headroom for larger textures and higher resolutions, but its 3DMark score remains low relative to other GPUs. The CPU’s multi-core muscle, evidenced by a Cinebench R23 multi-core score of 37931, ensures that background tasks like Discord or streaming software will not interfere with game performance.

Streaming and content creation benefit heavily from the CPU’s 24 cores and 32 threads. The PassMark multi-thread score of 45680 and the Cinebench R20 multi-core score of 15931 indicate strong parallel processing capability. The i9-13900 can handle simultaneous game capture, encoding, and streaming overlays without breaking a sweat. The GPU’s 50 RT cores and 200 tensor cores do provide some hardware acceleration for encoding tasks, but the CPU is the clear workhorse in this scenario.

Video editing workflows in applications like Premiere Pro or DaVinci Resolve will see a mix of CPU and GPU utilization. The CPU’s PassMark integer math score of 176107 and floating point math score of 120492 suggest rapid timeline scrubbing and effect processing. The GPU’s 6400 shading units and 32.15 TFLOPS of FP32 performance handle GPU-accelerated effects and color grading, though its modest percentile ranking means it will not be a top-tier performer in GPU-heavy render passes.

3D rendering and CAD work rely almost entirely on multi-core CPU performance. The i9-13900’s Cinebench R15 multi-core score of 3823 and R23 score of 37931 place it well ahead of many workstation processors. The PassMark physics score of 2484 further confirms strong computational throughput. For CPU-based renderers like V-Ray or Blender Cycles, this processor will chew through scenes quickly. GPU-based renderers will still work, but the RTX 5070 SUPER’s low benchmark score suggests longer render times compared to higher-ranked GPUs.

Software development benefits from both single and multi-core performance. The CPU’s Geekbench single-core score of 2604 ensures fast compilation of single-threaded code, while the multi-core score of 21164 accelerates parallel builds. The PassMark data encryption score of 35242 and extended instructions score of 32760 indicate robust cryptographic and SIMD performance, which helps with code signing and heavy math libraries. The GPU is largely irrelevant for most development tasks, making this a solid pairing for coders who also game occasionally.

Student and office work requires far less horsepower than this build provides. The CPU’s PassMark single-thread score of 4309 handles everyday productivity tasks with ease, while the integrated UHD Graphics 770 can drive basic displays even if the discrete GPU is not needed. The 65 W TDP keeps power draw reasonable for an office environment, though the 275 W GPU TDP means the full system will draw considerably more under load. This is overkill for spreadsheets and web browsing, but it ensures zero slowdowns even with many browser tabs and virtual machines running.

Benchmark Performance

The CPU benchmark data is extensive and consistently strong. The Core i9-13900 achieves a Cinebench R15 multi-core score of 3823 and a single-core score of 539. In Cinebench R20, it scores 15931 multi-core and 2249 single-core. The R23 run yields 37931 multi-core and 5355 single-core. Geekbench returns 21164 multi-core and 2604 single-core. The PassMark suite shows 45680 multi-thread, 4309 single-thread, 176107 integer math, 120492 floating point math, 577285 data compression, 35242 data encryption, 32760 extended instructions, 64396 random string sorting, and 186 for finding prime numbers. The average benchmark score for the CPU is 60676, and it sits at the 92nd percentile among all CPUs.

The GPU has only one benchmark result: a 3DMark Steel Nomad DX12 score of 2690. This places the RTX 5070 SUPER at the 18th percentile among all GPUs, with an average benchmark score of 2690. The nearest rivals are the NVIDIA Quadro K1100M at 2664 (1% slower), the NVIDIA GeForce GT 1030 at 2662 (1.1% slower), the Intel Arc Pro B50 at 2660 (1.1% slower), and the NVIDIA GeForce GT 440 at 2645 (1.7% slower).

The combined picture is clear: this is a massively powerful CPU paired with a GPU that performs at the level of entry-level or older graphics cards. The CPU’s nearest rivals include the Intel Xeon Gold 6338T (0.2% slower), AMD Ryzen 7 8745HX (1% slower), AMD Ryzen 9 7945HX (1% slower), and Intel Core i9-14900F (1.1% slower). The CPU outclasses all of these by small margins, but the GPU’s 18th percentile ranking is a stark contrast. Users should expect CPU-bound tasks to fly while GPU-bound tasks will feel underwhelming.

Balance and Bottleneck

The balance between these two components is heavily skewed toward the CPU. The processor’s 92nd percentile ranking versus the GPU’s 18th percentile creates a massive mismatch. In gaming workloads, the GPU will almost always be the bottleneck, limiting frame rates far below what the CPU could support. For example, the CPU’s single-core performance could drive much higher FPS in esports titles, but the GPU’s low 3DMark score will cap those frame rates.

In productivity workloads, the CPU dominates entirely. Video encoding, 3D rendering, and data compression all rely on the processor, and the GPU contributes little. The PassMark data compression score of 577285 and the Cinebench R23 multi-core score of 37931 show that the CPU can handle heavy parallel workloads without assistance. The GPU’s role in these tasks is minimal, so the bottleneck shifts to storage and memory speed.

Since no measured FPS data exists for this combination, all frame rate discussions are estimated from the benchmark scores. The CPU’s high single-thread scores suggest it can handle high-refresh gaming at low resolutions, but the GPU’s low percentile means those frame rates will not be achieved. Conversely, at higher resolutions like 4K, the GPU becomes even more of a limiting factor, as its 18 GB memory and 672.0 GB/s bandwidth are generous, but its raw compute performance is not.

The bottleneck analysis shows that this pairing is only sensible if the user prioritizes CPU-heavy workloads over gaming. For anyone who intends to play modern games, the GPU will be the constraining factor in nearly every scenario. The CPU’s performance headroom will go unused in gaming, while the GPU will struggle to keep up with even mid-range expectations.

Who Should Build It

Gamers at 1080p or 1440p should avoid this pairing unless they plan to upgrade the GPU soon. The CPU is more than capable of high-refresh gaming, but the GPU’s 18th percentile ranking will result in lower frame rates than expected. A gamer who primarily plays CPU-intensive simulation or strategy games might see acceptable performance, but action titles will suffer.

Content creators who work with video editing, 3D rendering, or software compilation will find this build excellent for CPU-bound tasks. The i9-13900’s 24 cores and 32 threads make quick work of rendering and encoding, and the GPU can handle light GPU-accelerated effects. The 18 GB VRAM is useful for large textures in 3D applications, even if the raw GPU performance is modest.

Software developers will appreciate the CPU’s rapid compile times and multi-threaded test execution. The PassMark extended instructions score of 32760 and integer math score of 176107 indicate strong performance for code compilation and scientific computing. The GPU is largely irrelevant for development, so the low GPU percentile will not matter.

Students and small business workstations will find this build overkill but effective. The CPU handles any academic or office workload with massive headroom, and the integrated graphics provide a fallback if the discrete GPU fails. The 65 W CPU TDP keeps idle power low, though the 275 W GPU TDP negates some of that efficiency under load.

CPU Analysis

The Intel Core i9-13900 is a 24-core, 32-thread processor based on the Raptor Lake architecture, specifically the Raptor Lake-S die. It has a base clock of 2000 MHz and a boost clock of 5600 MHz, with a 10 nm process node from Intel. The die size is 257 mm², and it supports both DDR4 and DDR5 memory in a dual-channel configuration. It includes 80 KB of L1 cache per core, 2 MB of L2 cache per core, and 36 MB of shared L3 cache. The CPU supports ECC memory and has 16 PCIe Gen 5 lanes from the CPU. Integrated graphics are provided by UHD Graphics 770.

The benchmark scores indicate exceptional multi-core performance. The Cinebench R23 multi-core score of 37931 places it comfortably ahead of its closest rivals, including the Intel Core i9-14900F which is only 1.1% slower. The Geekbench multi-core score of 21164 further confirms this. Single-core performance is also strong, with a Geekbench score of 2604 and a Cinebench R23 single-core score of 5355, which supports responsive everyday use and gaming.

The PassMark suite reveals specialized strengths. The data compression score of 577285 and random string sorting score of 64396 show excellent memory subsystem performance. The floating point math score of 120492 and integer math score of 176107 indicate strong computational throughput for scientific and financial workloads. The find prime numbers score of 186 is relatively low, but this is a niche test that does not reflect general performance.

The CPU’s 65 W TDP is surprisingly low for a 24-core part, suggesting aggressive power management. The launch MSRP was $549, and the multiplier is locked, so overclocking is not supported. The processor is produced on a 10 nm node from Intel, and its production status is active.

FAQ

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

A: The Intel Core i9-13900 has 24 cores and 32 threads, with a base clock of 2000 MHz and a boost clock of 5600 MHz.

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

A: The CPU’s average benchmark score is 60676, which is 0.2% ahead of the Intel Xeon Gold 6338T, 1% ahead of the AMD Ryzen 7 8745HX and AMD Ryzen 9 7945HX, and 1.1% ahead of the Intel Core i9-14900F.

Q: What is the GPU’s memory configuration?

A: The NVIDIA GeForce RTX 5070 SUPER has 18 GB of GDDR7 memory on a 192-bit bus, with a bandwidth of 672.0 GB/s and a memory clock of 1750 MHz (28 Gbps effective).

Q: What does the GPU’s 3DMark score indicate?

A: The GPU scores 2690 in 3DMark Steel Nomad DX12, placing it at the 18th percentile among all GPUs. This is 1% faster than the NVIDIA Quadro K1100M and 1.1% faster than the NVIDIA GeForce GT 1030 and Intel Arc Pro B50.

Q: Does this build support DDR4 or DDR5 memory?

A: The CPU supports both DDR4 and DDR5 in a dual-channel configuration, so either memory type can be used depending on the motherboard.

Q: What is the CPU’s socket and PCIe support?

A: The CPU uses Intel Socket 1700 and provides 16 PCIe Gen 5 lanes from the CPU, which is suitable for modern graphics cards and NVMe storage.

Q: Is there any measured FPS data for this exact CPU+GPU combo?

A: No, there is no measured FPS data for this combination in the database. All frame rate discussions are estimated from the individual CPU and GPU benchmark scores.

Upgrade Path and Platform

The Intel Core i9-13900 uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory. This gives builders flexibility in choosing memory, though DDR5 will offer higher bandwidth for memory-intensive tasks. The CPU provides 16 PCIe Gen 5 lanes, which are sufficient for a single high-end GPU or a Gen 5 NVMe drive. The integrated UHD Graphics 770 provides a fallback display output if the discrete GPU is removed or fails.

The GPU uses a PCIe 5.0 x16 interface, which is fully compatible with the CPU’s PCIe Gen 5 lanes. The GPU has a TDP of 275 W and requires a single 16-pin power connector. The suggested PSU is not specified in the data, but the combined CPU TDP of 65 W and GPU TDP of 275 W suggest a capable power supply is needed, though no exact wattage is provided.

The most sensible next upgrade for this build is the GPU. The CPU is already at the 92nd percentile, and its performance will remain relevant for years. Swapping the RTX 5070 SUPER for a higher-ranked GPU would dramatically improve gaming performance and GPU-accelerated workloads. The PCIe 5.0 slot ensures no bandwidth bottleneck with future graphics cards.

The platform itself is mature, as the CPU was released on January 3, 2023. Socket 1700 supports a range of 12th and 13th generation Intel processors, so users could also upgrade to a higher-tier CPU if needed, though the i9-13900 is already near the top of that stack. The 65 W CPU TDP means cooling is not a major concern, allowing for a capable air cooler or a modest liquid cooler.

Build Overview

This is a desktop-class build that pairs the Intel Core i9-13900 with the NVIDIA GeForce RTX 5070 SUPER. The combined percentile ranking is 55, placing it in the middle of all CPU+GPU combinations in the database. The CPU is a top-tier part at the 92nd percentile, while the GPU sits at only the 18th percentile, creating a significant imbalance.

The build class is desktop, meaning it is intended for stationary use in a tower case. The GPU is a dual-slot card measuring 245 mm in length, 115 mm in height, and 40 mm in width, with display outputs of one HDMI 2.1b and three DisplayPort 2.1b. The CPU and GPU together represent a system that excels in CPU-bound tasks but underperforms in GPU-bound scenarios.

The overall tier from the percentiles is mid-range, driven almost entirely by the CPU’s high ranking. The GPU drags the combined score down considerably. This is not a balanced build for gaming, but it is a powerful workstation for developers, content creators, and anyone who needs massive multi-core CPU performance.

GPU Analysis

The NVIDIA GeForce RTX 5070 SUPER is based on the GB205 chip using the Blackwell 2.0 architecture, manufactured on a 5 nm process by TSMC. It contains 31,100 million transistors on a 263 mm² die, with a transistor density of 118.3 million per mm². The GPU has 6400 shading units, 200 texture mapping units, and 80 render output units, along with 50 RT cores and 200 tensor cores.

The memory subsystem consists of 18 GB of GDDR7 on a 192-bit bus, delivering 672.0 GB/s of bandwidth. The memory clock is 1750 MHz, which translates to 28 Gbps effective. The base clock is 2325 MHz and the boost clock is 2512 MHz. The pixel rate is 201.0 GPixel/s, and the texture rate is 502.4 GTexel/s. FP32 performance is 32.15 TFLOPS, with FP16 also at 32.15 TFLOPS at a 1:1 ratio.

The 3DMark Steel Nomad DX12 score of 2690 places this GPU at the 18th percentile among all GPUs. This is a low score, putting it roughly on par with the NVIDIA Quadro K1100M (2664), GeForce GT 1030 (2662), and Intel Arc Pro B50 (2660). The GPU’s 50 RT cores support ray tracing, and the 200 tensor cores enable DLSS and AI workloads, but the low raw score suggests limited compute capability compared to modern mid-range and high-end GPUs.

The GPU has a TDP of 275 W and uses a single 16-pin power connector. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. For rendering workloads, the 18 GB VRAM is generous for large scenes and high-resolution textures, but the modest compute performance will limit frame rates and render times. This GPU is best suited for tasks that benefit from large memory capacity rather than raw speed, such as machine learning inference or large texture loading in 3D applications.