SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900TE + NVIDIA RTX 4000 SFF Ada Generation

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

88 / 100
HIGH-END

Power Build

Top 12% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
77%
VS
GPU
99%

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

PROCESSOR

Intel Core i9-13900TE

5,342 Benchmark Score
Top 23% 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

# FAQ

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

A: The Intel Core i9-13900TE paired with the NVIDIA RTX 4000 SFF Ada Generation sits at the 78th combined percentile across all desktop builds. This places it in the upper tier of systems, though not at the very top of the performance spectrum.

Q: How does the CPU compare to its nearest rivals in average benchmark score?

A: The Core i9-13900TE has an average benchmark score of 5342. Its closest rival, the Intel Core i9-10900KF, scores 5316, which is a 0.5% delta. The AMD EPYC 7281 also trails at 5315 (0.5% delta), while the AMD Ryzen Threadripper 1920X and Intel Core i9-9900X score 5306 and 5301 respectively, representing 0.7% and 0.8% deltas.

Q: What is the GPU's performance percentile and how does it rank against other graphics cards?

A: The RTX 4000 SFF Ada Generation achieves a 95th percentile ranking among all GPUs. Its average benchmark score of 117088 places it ahead of 95% of graphics cards, though it is narrowly edged out by the NVIDIA GB10 (117393, -0.3% delta) and the AMD Radeon PRO W7700 (118976, -1.6% delta).

Q: What memory types does the CPU support?

A: The Intel Core i9-13900TE supports both DDR4 and DDR5 memory through a dual-channel memory bus. It also supports ECC memory, which is notable for workstation reliability. The memory bandwidth figure is not specified in the data.

Q: What is the GPU's memory capacity and bandwidth?

A: The RTX 4000 SFF Ada Generation comes with 20 GB of GDDR6 memory on a 160-bit bus, delivering 280.0 GB/s of bandwidth. The memory clock is 1750 MHz with 14 Gbps effective data rate.

Q: Does the CPU have integrated graphics?

A: Yes, the Intel Core i9-13900TE includes UHD Graphics 770 as its integrated GPU. This provides basic display output capability even without a dedicated graphics card, which could be useful for troubleshooting or office workloads where discrete GPU power is unnecessary.

Q: What is the power requirement for the GPU?

A: The RTX 4000 SFF Ada Generation has a TDP of 70 W and requires a suggested power supply of 250 W. Notably, it has no power connectors, drawing all power through the PCIe slot.

# GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is built on the AD104 chip using TSMC's 5 nm process, packing 35,800 million transistors into a 294 mm² die. This translates to a transistor density of 121.8 million per square millimeter, which is exceptionally high for a workstation GPU. The architecture is Ada Lovelace, representing the current generation of professional workstation graphics from NVIDIA.

Memory configuration is substantial: 20 GB of GDDR6 on a 160-bit bus produces 280.0 GB/s of bandwidth. While this bandwidth figure is modest compared to wider-bus designs, the 20 GB capacity enables large dataset handling in professional workloads. The memory clock runs at 1750 MHz with 14 Gbps effective transfer rate. For rendering and compute tasks that exceed 12 GB or 16 GB VRAM requirements, this capacity becomes a decisive advantage.

Clock speeds are conservative: 720 MHz base and 1560 MHz boost. This reflects the SFF (Small Form Factor) design philosophy, prioritizing power efficiency over raw clock speed. The 70 W TDP is remarkably low for the performance class, and the card requires no external power connectors — it draws all power from the PCIe slot. This makes it uniquely suitable for compact workstations where power delivery and thermal management are constrained.

The compute configuration is robust: 6144 shading units, 192 texture mapping units, and 64 raster output units. The 48 RT cores and 192 tensor cores provide dedicated hardware for ray tracing and AI-accelerated workloads. Pixel rate reaches 99.84 GPixel/s, while texture rate hits 299.5 GTexel/s. FP32 performance is 19.17 TFLOPS, with FP16 matching at 19.17 TFLOPS (1:1 ratio), which is unusual and beneficial for mixed-precision compute.

Benchmark results confirm the GPU's strength: Geekbench OpenCL score of 124812 and Vulkan score of 109364. The 95th percentile ranking among all GPUs means this card outperforms 95% of graphics hardware. The nearest rival, NVIDIA GB10, scores 117393 (0.3% higher), while the AMD Radeon PRO W7700 leads by 1.6%. The RTX 4000 SFF trails the Tesla V100 SXM2 16 GB by 2.4% and leads the RTX A5500 Mobile by 2.8%. This places it in the upper echelon of professional GPUs, competitive with much larger and more power-hungry cards.

For rendering workloads, the combination of 20 GB VRAM, 48 RT cores, and 192 tensor cores positions this GPU for ray-traced visualization and AI-enhanced rendering. The relatively modest bandwidth might limit performance in texture-heavy scenes, but the high texture rate and pixel rate compensate in many scenarios. The 1:1 FP16/FP32 ratio is particularly valuable for scientific computing and machine learning inference where mixed precision is used.

# Upgrade Path and Platform

The Intel Core i9-13900TE uses Intel Socket 1700, which supports both DDR4 and DDR5 memory through a dual-channel interface. This flexibility allows builders to choose between cost-effective DDR4 or higher-performance DDR5, though the memory bandwidth figures are not specified in the data. ECC memory support adds reliability for workstation use cases where data integrity is critical.

PCIe connectivity is Gen 5 with 16 lanes from the CPU. This provides ample bandwidth for the RTX 4000 SFF Ada Generation, which uses PCIe 4.0 x16. The GPU's interface is backward compatible, so it will run at PCIe 4.0 speeds without bottlenecking. For future upgrades, the Gen 5 lanes offer headroom for next-generation storage devices or additional accelerators, though the CPU's lane allocation is fixed at 16.

The platform's power requirements are modest: the CPU has a TDP of 35 W, and the GPU has a TDP of 70 W. The suggested PSU for the GPU is 250 W, which indicates that even a modest power supply can support this configuration. This makes the platform suitable for small form factor builds where power delivery is limited. The GPU's dual-slot design and 168 mm length (6.6 inches) with 69 mm height (2.7 inches) means it fits in compact chassis.

A sensible next upgrade path would focus on the GPU, as the CPU's 78th combined percentile is dragged down by the CPU's 60th percentile ranking. The RTX 4000 SFF's 95th percentile GPU score suggests that upgrading the CPU would yield greater system-wide gains. However, the Socket 1700 platform is limited to 13th Gen Intel processors, so a meaningful CPU upgrade would require a motherboard change. Alternatively, adding more memory or faster storage via the Gen 5 PCIe lanes could improve system responsiveness without replacing the core components.

# Balance and Bottleneck

The data reveals a significant imbalance between CPU and GPU performance. The CPU sits at the 60th percentile among all processors, while the GPU ranks at the 95th percentile among all graphics cards. This creates a scenario where the GPU is substantially more powerful relative to its peers than the CPU is relative to its peers. The combined percentile of 78 reflects this gap, sitting between the two individual percentiles.

In CPU-bound workloads — such as physics simulation, AI inference, or certain game engines that rely heavily on single-thread performance — the Core i9-13900TE will limit overall system performance. The CPU's Cinebench R23 single-core score of 2607 and multi-core score of 18472 indicate solid but not exceptional performance. Its nearest rival, the Core i9-10900KF, is just 0.5% behind in average score, suggesting that the 13900TE is not dramatically ahead of older high-end desktop processors.

In GPU-bound workloads — such as 3D rendering, video encoding, or high-resolution gaming — the RTX 4000 SFF will be the primary performance driver. Its 95th percentile ranking means it can handle demanding graphics tasks that would overwhelm most other GPUs. The 20 GB VRAM capacity is particularly valuable for large textures and complex scenes, where memory capacity often becomes the limiting factor before compute power does.

The FPS scaling evidence, while not measured for this exact pairing, can be inferred from the benchmark scores. At 1080p, CPU limitations may emerge in games that are heavily single-threaded. At 1440p and 4K, the GPU's workload increases, and the RTX 4000 SFF's high percentile ranking suggests it can maintain solid frame rates. The 78th combined percentile indicates that this system is well above average but not top-tier, and the bottleneck analysis suggests that CPU upgrades would yield the most significant performance improvements in mixed workloads.

# CPU Analysis

The Intel Core i9-13900TE is a 13th Gen Raptor Lake desktop processor with 24 cores and 32 threads. The architecture is Raptor Lake-S, built on Intel's 10 nm process with a die size of 257 mm². The base clock is 1000 MHz (1.0 GHz), which is notably low, but the boost clock reaches 5.0 GHz, providing a 5x multiplier between base and boost frequencies. This wide frequency range indicates a design optimized for power efficiency at idle while delivering high performance under load.

The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. This large cache pool helps mitigate memory latency in workloads with moderate data footprints. The CPU supports both DDR4 and DDR5 memory through a dual-channel interface, with the memory bandwidth unspecified in the data. ECC memory support adds reliability for error-sensitive applications.

Benchmark results show a mixed picture. The Cinebench R15 multi-core score is 1861, while single-core is 262. Cinebench R20 yields 7758 multi-core and 1094 single-core. Cinebench R23 produces 18472 multi-core and 2607 single-core. These scores indicate that the CPU performs well in multi-threaded workloads but is less impressive in single-threaded tasks. The average benchmark score of 5342 places it at the 60th percentile among all CPUs.

Comparing to nearest rivals, the performance differences are minimal. The Core i9-10900KF scores 5316 (0.5% lower), the AMD EPYC 7281 scores 5315 (0.5% lower), the Ryzen Threadripper 1920X scores 5306 (0.7% lower), and the Core i9-9900X scores 5301 (0.8% lower). This clustering suggests that the 13900TE offers only marginal improvements over older high-end processors, with the delta between the best and worst of these rivals being just 0.8%.

The TDP of 35 W is remarkably low for a 24-core processor, reflecting the "TE" (T-series efficient) designation. This makes the CPU suitable for power-constrained environments, but it also explains why its multi-core performance is not dramatically higher than older, more power-hungry processors. The integrated UHD Graphics 770 provides basic display output, though gaming or compute tasks would rely on the discrete GPU. The CPU is not multiplier-unlocked, limiting overclocking potential.

For real workloads, the 24 cores and 32 threads excel in heavily parallel tasks like video encoding, 3D rendering, and scientific computation. The 36 MB L3 cache helps with data-intensive applications. However, the modest single-core performance may bottleneck games that rely on high clock speeds for physics and game logic, despite the 5.0 GHz boost capability.

# Usage Scenarios

High-refresh gaming: The RTX 4000 SFF's 95th percentile ranking suggests strong frame rates, but the CPU's 60th percentile may limit performance at lower resolutions where CPU overhead dominates. At 1080p with high refresh rates (144Hz+), the Core i9-13900TE's single-core score of 2607 in Cinebench R23 could become a bottleneck in CPU-intensive titles. At 1440p and above, the GPU's workload increases, allowing the RTX 4000 SFF to stretch its legs and deliver smoother performance.

Streaming: The 24 cores and 32 threads provide ample headroom for encoding while gaming. The CPU's multi-core score of 18472 in Cinebench R23 indicates strong parallel processing capability, which is beneficial for x264 encoding. Alternatively, the GPU's 192 tensor cores and NVENC (implied by Ada Lovelace architecture) could handle encoding with minimal CPU overhead, though specific encoder specs are not listed.

Video editing: This workload benefits from both CPU and GPU acceleration. The 13900TE's 24 cores handle timeline operations and effects processing, while the RTX 4000 SFF's 19.17 TFLOPS FP32 performance accelerates rendering and real-time previews. The 20 GB VRAM is ample for 4K and even 8K video projects, allowing multiple high-resolution streams to reside in memory simultaneously.

3D rendering: The GPU takes the lead here, with 48 RT cores and 192 tensor cores accelerating ray-traced and AI-denoised renders. The 20 GB VRAM accommodates complex scenes with high-resolution textures. The CPU's multi-core performance contributes to scene preparation and physics simulation. The 1:1 FP16/FP32 ratio is valuable for mixed-precision rendering pipelines.

Software development: Compilation tasks leverage the CPU's 24 cores and 32 threads, with the 36 MB L3 cache helping to reduce recompilation times. The 5.0 GHz boost clock accelerates single-threaded build steps. GPU compute via OpenCL (124812 score) or Vulkan (109364 score) can accelerate testing and simulation workloads, though most development tasks will rely primarily on the CPU.

Student and office work: This configuration is overkill for typical productivity tasks. The UHD Graphics 770 integrated GPU alone could handle office applications, but the RTX 4000 SFF provides headroom for more demanding academic work like CAD, scientific visualization, or machine learning projects. The 35 W CPU TDP and 70 W GPU TDP make this a power-efficient system for shared workspaces, and the small GPU footprint (168 mm length) fits in compact desks.

# Who Should Build It

This system targets professionals who need workstation-class GPU performance in a small form factor without sacrificing CPU multi-threading capability. The 95th percentile GPU ranking makes it suitable for 3D artists working with ray-traced rendering, video editors handling 4K or higher resolution footage, and engineers running GPU-accelerated simulations. The 20 GB VRAM is particularly valuable for machine learning practitioners who need to load large models into GPU memory, and the 192 tensor cores accelerate AI inference and training.

Gamers at 1440p or 4K resolution would benefit from the RTX 4000 SFF's high percentile ranking, though the CPU's 60th percentile may limit maximum frame rates in esports titles at 1080p. Content creators who balance rendering (GPU-heavy) with video encoding (CPU-heavy) will find the 24-core processor and 19.17 TFLOPS GPU a balanced combination. Software developers working on large codebases will appreciate the 32 threads for parallel builds, while the ECC memory support adds stability for long-running computations.

Students in engineering or computer science programs could leverage this system for coursework involving CAD, data analysis, or deep learning. Small business workstations that require reliability (ECC memory support) and compact footprints (GPU is 168 mm long, dual-slot) would find this configuration appropriate for tasks like architectural visualization, product design, or data processing. The low power requirements (35 W CPU, 70 W GPU, 250 W suggested PSU) make it viable for office environments with limited power infrastructure.

# Build Overview

This is a desktop-class build combining the Intel Core i9-13900TE (Raptor Lake-S, 24 cores, 32 threads) with the NVIDIA RTX 4000 SFF Ada Generation (AD104, 20 GB GDDR6). The CPU targets power efficiency with a 35 W TDP, while the GPU is designed for small form factor workstations with a 70 W TDP and no external power connectors. The combined percentile of 78 places this system in the upper tier of desktop builds, though the significant gap between CPU (60th percentile) and GPU (95th percentile) performance is a defining characteristic.

The build's overall tier is solidly upper-mid-range, with the GPU providing most of the system's performance pedigree. The RTX 4000 SFF's average benchmark score of 117088 is nearly 22 times higher than the CPU's average score of 5342, though these metrics use different benchmark suites. The system is best understood as a GPU-centric workstation where the CPU provides adequate multi-threading without being the star of the show.

# Benchmark Performance

The CPU's benchmark suite shows progressive scaling across Cinebench versions: R15 multi-core scores 1861, R20 scores 7758, and R23 scores 18472. Single-core scores scale from 262 (R15) to 1094 (R20) to 2607 (R23). The average benchmark score of 5342 places the CPU at the 60th percentile among all processors, with its closest rival (Core i9-10900KF) just 0.5% behind.

The GPU achieves a Geekbench OpenCL score of 124812 and a Vulkan score of 109364, averaging 117088. This places it at the 95th percentile among all GPUs. The nearest rivals are tightly clustered: NVIDIA GB10 leads by 0.3%, AMD Radeon PRO W7700 leads by 1.6%, while the RTX 4000 SFF leads the Tesla V100 SXM2 by 2.4% and the RTX A5500 Mobile by 2.8%.

The combined picture shows a system that is significantly stronger on the graphics side than on the processor side. The 78th combined percentile reflects this asymmetry. For workloads that are primarily GPU-bound, this system performs like a top-5% graphics platform. For CPU-bound tasks, it performs like an average desktop processor from the previous generation. The 24-core CPU does provide substantial multi-threading capability, but its low base clock and power-efficient design cap its absolute performance.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination — the FACT PACK contains no measuredFps entries. All frame rate figures discussed here are estimates derived from the benchmark scores and percentile rankings.

Based on the RTX 4000 SFF's 95th percentile GPU ranking and 19.17 TFLOPS FP32 performance, this GPU should deliver strong frame rates at 1440p and 4K in most modern titles. The 20 GB VRAM ensures that even the most demanding texture packs and high-resolution assets will fit in memory without stuttering. The 48 RT cores provide dedicated hardware for ray-traced effects, though enabling full ray tracing at 4K may require DLSS or similar upscaling to maintain playable frame rates.

At 1080p, the CPU's 60th percentile ranking and single-core score of 2607 in Cinebench R23 may become the limiting factor in CPU-intensive games. Esports titles that rely on high single-thread performance might see lower frame rates than expected from the GPU alone. However, the 5.0 GHz boost clock helps mitigate this in many scenarios, provided the CPU can sustain boost frequencies under load.

At 1440p and above, the GPU becomes the primary performance driver, and the RTX 4000 SFF's 95th percentile ranking suggests it can deliver smooth gameplay in most titles at high settings. The 280.0 GB/s bandwidth might limit performance in games with extremely high texture streaming requirements, but the large VRAM capacity compensates by allowing more data to reside on-card. The 250 W suggested PSU indicates that the rest of the system should have ample power headroom for stable operation during extended gaming sessions.

For competitive gaming at high refresh rates, the CPU's modest single-core performance relative to its peers could result in lower maximum frame rates in games that are not well-threaded. Players seeking 240Hz+ performance in esports titles might find the CPU limiting. For cinematic single-player experiences at 60-144 FPS, this system should provide an excellent experience, with the GPU's high percentile ranking ensuring graphics quality is rarely compromised.