SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900T + NVIDIA RTX 5000 Embedded 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
GPU Bottleneck
CPU
96%
VS
GPU
74%

Your GPU is limiting system performance. Consider upgrading to a more powerful graphics card to better utilize your CPU.

PROCESSOR

Intel Core i9-13900T

61,723 Benchmark Score
Top 4% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation

0 Benchmark Score
Top 26% 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

GPU 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

Intel Core i9-13900T and NVIDIA RTX 5000 Embedded Ada Generation form a desktop pairing that lands in the 71st percentile overall, a strong mid-to-high tier combination. The CPU is a 24-core, 32-thread Raptor Lake-S part with a 35W TDP, while the GPU is a 16GB Ada Lovelace professional-class part with 32.69 TFLOPS of FP32 compute. No measured FPS rows exist for this exact combination, so all game performance discussion below is estimated from the benchmark scores of the individual components.

Upgrade Path and Platform

The Intel Core i9-13900T uses the Intel Socket 1700 platform, which places it in the Raptor Lake generation. The socket supports DDR4 and DDR5 memory through a dual-channel memory bus, and the CPU itself provides 20 PCIe Gen 5 lanes. The integrated UHD Graphics 770 is present as a fallback display output, but the platform is clearly designed for discrete graphics. The CPU also supports ECC memory, which makes the platform viable for workstation-style builds where data integrity matters more than raw gaming speed.

The 35W TDP of the i9-13900T is the defining feature of the platform. This is an exceptionally low power envelope for a 24-core part, and it means the CPU can be cooled by a modest air cooler rather than a large liquid solution. The motherboard choice matters more than the cooler here — a board with robust VRM delivery is still required to feed the boost clock of 5.30 GHz, even if sustained all-core loads will be power-limited. The platform does not support overclocking since the multiplier is locked, so the upgrade path is about swapping the CPU for another Socket 1700 part, not pushing the current one further.

For a sensible next upgrade, the data points to the nearest rivals as the ceiling. The i9-13900K and i9-13900KF both sit within 0.2% of the i9-13900T in average benchmark score, meaning the T variant is already delivering essentially the same CPU performance as the flagship K-series parts in this database. The Xeon 636 is only 0.6% ahead, so there is no meaningful CPU upgrade available on this socket that would show a real-world difference. The GPU is the more likely upgrade candidate, but the RTX 5000 Embedded Ada Generation already offers 16GB of VRAM and a 256-bit memory bus, so the next step would be a full platform change rather than a component swap. The lack of a suggested PSU figure for the GPU means the power supply requirement is undefined in the data, but the 120W TDP of the GPU combined with the 35W TDP of the CPU suggests the total system draw is modest for the performance class.

FAQ

Q: What is the CPU socket and memory support for the Intel Core i9-13900T?

A: The i9-13900T uses Intel Socket 1700 and supports both DDR4 and DDR5 memory through a dual-channel memory bus. ECC memory is also supported.

Q: How does the i9-13900T compare to its nearest rival, the i9-13900K?

A: The i9-13900T has an average benchmark score of 61723, which is 0.1% lower than the i9-13900K's score of 61766. This places the T variant statistically at parity with the K-series flagship.

Q: What is the GPU's memory configuration?

A: The NVIDIA RTX 5000 Embedded Ada Generation has 16GB of GDDR6 memory on a 256-bit bus, with a bandwidth of 576.0 GB/s and a memory clock of 18 Gbps effective.

Q: Does the GPU support ray tracing and tensor operations?

A: Yes, the GPU has 76 RT cores and 304 tensor cores, and it supports DirectX 12 Ultimate (12_2). The FP16 throughput is 32.69 TFLOPS (1:1 with FP32).

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

A: The combined percentile is 71, meaning this desktop build outperforms 71% of all recorded configurations in the database.

Q: Is the CPU overclockable?

A: No, the multiplier is locked. The i9-13900T is not designed for overclocking; it is a low-power part with a 35W TDP and a 5.30 GHz boost clock.

Q: What is the production status of both components?

A: Both the CPU and GPU are listed as "Active" in production status. The CPU was released on 2023-01-03 and the GPU on 2023-03-20.

CPU Analysis

The Intel Core i9-13900T is a 24-core, 32-thread processor built on the Raptor Lake architecture using Intel's 10 nm process node, with a die size of 257 mm². The core configuration combines performance and efficiency cores, though the FACT PACK does not break down the exact P-core/E-core split. The base clock is a low 1100 MHz, but the boost clock reaches 5.30 GHz, which is the highest single-core frequency in the Raptor Lake desktop lineup. The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache.

The benchmark scores tell a clear story about the dual nature of this chip. In Cinebench R23, the multi-core score is 36517, while the single-core score is 5155. The single-core score is competitive with the best desktop parts, confirming that the 5.30 GHz boost clock is fully available for lightly-threaded workloads. The multi-core score of over 36,000 in R23 is exceptional for a 35W TDP part, and it places the CPU in the 92nd percentile against all CPUs. The PassMark multi-thread score of 43036 reinforces this, showing that the 24 cores are not just present but productive under sustained loads.

The data compression and encryption results are notable: PassMark data compression scores 538254, which is an extremely high absolute number, and data encryption scores 34415. These are the kinds of workloads that benefit from the large L3 cache and the high core count. The floating-point math score of 108779 and integer math score of 157324 are both strong, indicating broad compute capability rather than a narrow specialization. The single-thread score of 4177 on PassMark is solid, though not class-leading, which aligns with the Cinebench R23 single-core result.

The nearest rivals are telling. The i9-13900K, i9-13900KF, and Core Ultra 7 270HX Plus all score between 61766 and 61841, within 0.2% of the i9-13900T's 61723. This means the 35W TDP part is delivering the same average benchmark performance as the full-power K-series parts. The Xeon 636 scores 61360, which is 0.6% behind the i9-13900T, so even a server-class Xeon does not offer a meaningful advantage. The implication is that the i9-13900T is not a "binned-down" chip; it is a top-tier performer that happens to run at a very low power envelope.

Usage Scenarios

High-refresh gaming: The CPU's 92nd percentile ranking and 5155 single-core score in Cinebench R23 provide the per-thread performance needed to drive high frame rates in esports and competitive titles. The GPU's 32.69 TFLOPS of FP32 compute and 576.0 GB/s of memory bandwidth are sufficient for 1440p and 4K gaming, though the lack of measured FPS data means the exact scaling is estimated. The 16GB VRAM is ample for modern game textures at high resolutions.

Streaming: The combination of a 24-core CPU and a GPU with 304 tensor cores is well-suited for streaming workloads. The CPU has enough headroom to encode video while running a game, and the tensor cores can accelerate AI-based encoding and enhancement features. The 35W TDP of the CPU means the system runs cool during extended streaming sessions, which is a practical benefit for a dedicated streaming rig.

Video editing: The Cinebench R23 multi-core score of 36517 positions the CPU for professional video editing timelines with multiple 4K streams and heavy effects. The GPU's 16GB VRAM and 576.0 GB/s bandwidth support large compositing projects and GPU-accelerated rendering in tools that leverage CUDA cores. The 9728 shading units provide substantial parallel throughput for effects processing.

3D rendering: The combined CPU multi-core score and GPU FP32 throughput of 32.69 TFLOPS make this a capable rendering workstation. CPU-based rendering in Blender or Cinema 4D will leverage the 24 cores effectively, while GPU-based renderers will use the 76 RT cores and 304 tensor cores for accelerated ray tracing and denoising. The 16GB VRAM is sufficient for most scene complexity levels.

Software development: The PassMark data compression score of 538254 and integer math score of 157324 indicate strong performance in compilation and code analysis workloads. The 36 MB of L3 cache helps with large codebases, and the high single-core score of 5155 in R23 ensures fast IDE responsiveness and quick interactive builds.

Student and office work: This build is dramatically overprovisioned for office tasks, but the low 35W TDP of the CPU makes it a quiet and efficient system for a dorm room or shared office. The integrated UHD Graphics 770 provides a fallback if the discrete GPU is not needed, and the 92nd percentile CPU ranking ensures the system will not feel slow for years. The 16GB GPU memory is irrelevant for office work, but it does not hurt.

Benchmark Performance

The CPU's average benchmark score is 61723, placing it in the 92nd percentile against all CPUs. The nearest rivals are all within 0.6%, with the i9-13900K at 61766 (-0.1%), the Core Ultra 7 270HX Plus at 61834 (-0.2%), the i9-13900KF at 61841 (-0.2%), and the Xeon 636 at 61360 (+0.6%). The CPU's percentile ranking is the most important single number: 92% of all CPUs score lower, which puts the i9-13900T in the top tier of desktop processors.

The GPU has no benchmark scores in the FACT PACK, and its average benchmark score is 0 with an empty nearestRivals list. The GPU's percentileVsAllGpus is 50, which means it sits at the median of all GPUs in the database. This is a critical distinction: the GPU is mid-pack in the overall GPU landscape, even though it is a professional Ada Lovelace part. The combined percentile is 71, which reflects the strong CPU pulling up a median GPU.

The Cinebench scores provide the clearest view of CPU performance. The R23 multi-core score of 36517 is the headline number, representing sustained all-core throughput. The R20 multi-core score of 15337 and R15 multi-core score of 3680 follow the same pattern. Single-core scores are also strong: R23 single-core at 5155, R20 at 2165, and R15 at 519. The PassMark suite shows a similar profile, with a multithread score of 43036 and single-thread score of 4177. The data compression score of 538254 is the standout PassMark result, indicating exceptional throughput in compression workloads.

The absence of measured FPS data for this CPU+GPU combination means that game performance cannot be stated with certainty. The estimated picture, based on the CPU's top-tier percentile and the GPU's median percentile, is that the CPU will not be the bottleneck in most games, but the GPU will limit performance in demanding titles at high resolutions. The combined percentile of 71 suggests that the overall system is well above average, but not at the level of the top gaming rigs.

Who Should Build It

The target user for this build is a professional or prosumer who needs maximum CPU performance in a low-power envelope, paired with a GPU that has professional features and 16GB of VRAM. The 92nd percentile CPU ranking makes this ideal for content creators who run CPU-heavy workloads like video encoding, 3D simulation, and software compilation. The GPU's 16GB VRAM and 576.0 GB/s bandwidth support large machine learning models and high-resolution texture work, which appeals to data scientists and 3D artists.

Gamers at 1080p or 1440p will find the CPU more than sufficient, but the GPU's 50th percentile ranking means it is not a high-refresh 4K solution. Gamers who prioritize frame rates in competitive titles will see strong performance at 1080p, but the GPU will be the limiting factor at 4K. The build is better suited to a streamer or content creator who games as a secondary workload, since the CPU headroom allows for simultaneous encoding and gaming.

Software developers will benefit from the high integer math score of 157324 and the data compression score of 538254, which indicate fast builds and efficient data processing. Students and office workers are over-served by this hardware, but the 35W CPU TDP makes it a sensible choice for a quiet workstation in a shared space. Small business workstations that run database queries or financial simulations will leverage the multi-core score of 36517 in Cinebench R23, which is the kind of sustained throughput that these workloads require.

The launch MSRP of the CPU is $549, which positions it as a premium desktop part, though the GPU has no listed launch MSRP. The combined system is not a budget build, but the low power draw of both components means the total cost of ownership over several years is lower than a comparable high-power workstation.

Balance and Bottleneck

The balance between CPU and GPU is heavily skewed toward the CPU. The i9-13900T is in the 92nd percentile against all CPUs, while the RTX 5000 Embedded Ada Generation is in the 50th percentile against all GPUs. This means the CPU is the dominant component in this pairing, and it will not be the bottleneck in any workload that the GPU can handle. The GPU will be the limiting factor in GPU-bound tasks like gaming at high resolutions, ray tracing, and GPU-based rendering.

The CPU's 35W TDP is the key to understanding the bottleneck dynamics. The low power envelope means the CPU cannot sustain its maximum multi-core performance indefinitely — the base clock of 1100 MHz is very low, and the 5.30 GHz boost is likely short-lived under all-core loads. However, the benchmark scores show that the CPU still achieves 36517 in Cinebench R23 multi-core, which is a sustained test, so the power management is effective. The GPU's 120W TDP is also low for a professional part, but the 32.69 TFLOPS of FP32 throughput is respectable for the power draw.

In game workloads, the estimated FPS scaling suggests that the CPU will deliver high frame rates at 1080p and 1440p, while the GPU will cap performance at 4K. The 576.0 GB/s of memory bandwidth is adequate for high-resolution textures, but the 50th percentile GPU ranking means it is not a top-tier gaming part. The CPU's 36 MB of L3 cache and 5.30 GHz boost clock will help in CPU-bound game scenarios, but the GPU will ultimately limit the experience in modern AAA titles.

For productivity workloads, the bottleneck is workload-dependent. CPU-heavy tasks like video encoding and software compilation will max out the 24 cores, and the GPU will be mostly idle. GPU-heavy tasks like 3D rendering and machine learning inference will be limited by the GPU's 32.69 TFLOPS, which is strong but not class-leading. The CPU's 92nd percentile ranking means it will not bottleneck the GPU in most professional workloads, but the GPU's median ranking means it will not fully utilize the CPU's potential in GPU-accelerated tasks.

Build Overview

This is a desktop build (buildClass: desktop) that pairs the Intel Core i9-13900T with the NVIDIA RTX 5000 Embedded Ada Generation. The CPU is a 24-core Raptor Lake-S part with a 35W TDP, and the GPU is a 16GB Ada Lovelace professional part with a 120W TDP. The combined percentile is 71, placing this system in the upper-middle tier of all recorded builds.

The build class is desktop, but the GPU is an "Embedded" variant designed for mobile or compact form factors, as indicated by the "IGP" slot width and "Portable Device Dependent" display outputs. This creates an interesting hybrid: a full desktop CPU with a mobile-oriented GPU. The practical implication is that this could be a compact workstation or a small-form-factor desktop that does not require a large power supply, given the low TDPs of both components.

The CPU's average benchmark score of 61723 places it in the 92nd percentile, and the nearest rivals are all within 0.2%, meaning the i9-13900T is effectively as fast as the i9-13900K in this database. The GPU has no benchmark scores, but its 50th percentile ranking is the weak link in the system. The overall tier from the percentiles is a mid-to-high-end desktop, where the CPU provides top-tier performance and the GPU provides median performance, resulting in a system that excels at CPU-bound tasks.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip using TSMC's 5 nm process, with 45,900 million transistors on a 379 mm² die. The GPU has 16GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth at 18 Gbps effective memory clock. The base clock is 930 MHz with a boost clock of 1680 MHz, and the GPU has 9728 shading units, 304 TMUs, and 112 ROPs.

The compute capabilities are substantial: FP32 throughput is 32.69 TFLOPS, and FP16 is 32.69 TFLOPS with a 1:1 ratio. The GPU has 76 RT cores for ray tracing and 304 tensor cores for AI workloads. The pixel rate is 188.2 GPixel/s and the texture rate is 510.7 GTexel/s. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it compatible with the latest graphics APIs.

The GPU's 50th percentile ranking against all GPUs is a critical data point. This is not a top-tier gaming GPU; it is a professional part that prioritizes features like VRAM capacity and compute throughput over raw rasterization performance. The 16GB VRAM is the standout feature, as it allows for large datasets in machine learning, high-resolution textures in 3D rendering, and multi-monitor professional setups. The 576.0 GB/s bandwidth is adequate for these workloads, though not exceptional for the memory size.

The 304 tensor cores are the defining feature for AI workloads. FP16 at 32.69 TFLOPS means the GPU can handle inference and training for moderately sized models, and the 16GB VRAM can hold large models that would not fit on smaller GPUs. The 76 RT cores provide hardware-accelerated ray tracing, which benefits 3D rendering and architectural visualization. The 120W TDP is low for this level of compute, making the GPU power-efficient for its class.

The GPU's lack of benchmark scores in the FACT PACK is a limitation, but the percentile ranking of 50 provides context: roughly half of all GPUs are faster and half are slower. The GPU is not a bottleneck in compute-heavy professional workloads, but it is not a high-end gaming GPU either. The 32.69 TFLOPS of FP32 throughput is strong for productivity, and the 16GB VRAM is the primary reason to choose this GPU over a consumer gaming part.