SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900TE + NVIDIA RTX 5000 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 5000 Ada Generation

184,664 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 i9-13900TE and NVIDIA RTX 5000 Ada Generation pairing represents a specific, high-end desktop configuration that prioritizes compute density and professional-grade performance over raw consumer gaming metrics. The CPU, a 24-core, 32-thread Raptor Lake-S part, is engineered for high throughput with a remarkably low 35 W TDP, while the GPU is a workstation-class Ada Lovelace accelerator with 32 GB of memory. Benchmark data indicates a combined system percentile of 79, placing it in the upper echelon of all tracked configurations, though the CPU itself sits at the 60th percentile, suggesting the graphics card is the dominant performance driver in this pairing.

CPU Analysis

The Intel Core i9-13900TE is a 13th Generation Raptor Lake processor built on Intel's 10 nm process node, featuring a die size of 257 mm². It packs 24 cores and 32 threads, a configuration that relies on a hybrid architecture of performance and efficiency cores, although the FACT PACK does not specify the exact core distribution. The base clock is listed at 1000.00 MHz, with a significant boost clock of 5.00 GHz, allowing for substantial single-threaded bursts when thermal and power headroom permit. The processor supports DDR4 and DDR5 memory in a dual-channel configuration, includes ECC memory support, and provides PCIe Gen 5 connectivity with 16 lanes available from the CPU. Integrated graphics are handled by the UHD Graphics 770 unit.

Benchmark results for the 13900TE show a mixed profile. In Cinebench R23, the CPU scores 18,472 points in multi-core and 2,607 points in single-core tests. The multi-core result is respectable, but the single-core score of 2,607 is more modest compared to higher-clocked desktop parts, likely a consequence of the 35 W TDP constraint that limits sustained boost behavior. The average benchmark score across all recorded tests is 5,342, which places the CPU at the 60th percentile of all CPUs tracked. This positions it as an above-average processor, but not a top-tier performer. The nearest rivals according to the data are the Intel Core i9-10900KF (average score 5,316, deltaPct 0.5), AMD EPYC 7281 (5,315, deltaPct 0.5), AMD Ryzen Threadripper 1920X (5,306, deltaPct 0.7), and Intel Core i9-9900X (5,301, deltaPct 0.8). The deltas are extremely tight, with the 13900TE leading the closest competitor by only 0.5% and the furthest by 0.8%. This indicates that despite the architectural generational leap, the power-limited 13900TE performs nearly identically in aggregate to older, higher-TDP flagship parts from several generations prior.

For real workloads, the 13900TE's strength lies in its multi-threaded capability, evidenced by the Cinebench R23 multi-core score of 18,472, which is roughly seven times its single-core score. This suggests strong scaling in applications that can utilize all 32 threads, such as video encoding, 3D rendering, and compilation tasks. However, the low TDP means sustained all-core loads will likely cause the processor to settle at lower clocks than the 5.00 GHz boost maximum, limiting its performance in long-duration workloads compared to unlocked or higher-TDP variants. The single-core score of 2,607 in Cinebench R23 indicates adequate, but not exceptional, performance for lightly-threaded tasks like gaming or general desktop responsiveness.

FAQ

Q: What is the core and thread count of the Intel Core i9-13900TE?

A: The Intel Core i9-13900TE features 24 cores and 32 threads, based on the Raptor Lake architecture.

Q: How does the CPU's multi-core performance compare to its closest rivals?

A: In Cinebench R23 multi-core, the 13900TE scores 18,472 points. Its average benchmark score of 5,342 is only 0.5% higher than the Intel Core i9-10900KF and the AMD EPYC 7281, and 0.8% higher than the Intel Core i9-9900X.

Q: What is the memory and expansion capability of this CPU?

A: The CPU supports both DDR4 and DDR5 memory in a dual-channel configuration, and it provides 16 PCIe Gen 5 lanes for expansion.

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

A: The NVIDIA RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, delivering a bandwidth of 576.0 GB/s.

Q: How does the GPU perform in compute benchmarks?

A: The RTX 5000 Ada scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, giving it an average benchmark score of 184,664 and placing it in the 98th percentile of all GPUs.

Q: What power supply is suggested for the GPU?

A: The NVIDIA RTX 5000 Ada Generation has a TDP of 250 W and a suggested PSU rating of 600 W.

Q: Is the CPU unlocked for overclocking?

A: No, the multiplier is locked, meaning the Intel Core i9-13900TE is not unlocked for overclocking.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the Core 13th Gen series. The CPU supports dual-channel DDR4 or DDR5 memory, giving builders flexibility in choosing memory modules based on availability and cost, though the FACT PACK does not specify maximum capacity or speeds. Storage and expansion are handled via PCIe Gen 5 with 16 lanes from the CPU, which is a modern standard for high-bandwidth devices like NVMe SSDs and discrete GPUs. The integrated UHD Graphics 770 provides a fallback display output, which is useful for troubleshooting or basic tasks without the discrete GPU installed.

For the GPU, the NVIDIA RTX 5000 Ada Generation uses a PCIe 4.0 x16 interface, which is backward compatible with the CPU's PCIe Gen 5 slots, ensuring no bandwidth bottleneck for the graphics card. The GPU has a TDP of 250 W and requires a single 16-pin power connector. The suggested PSU is rated at 600 W, which indicates that the total system power draw is expected to be manageable, even with the CPU's 35 W TDP. The dual-slot card is 267 mm long and 112 mm high, so it should fit in most mid-tower or larger cases, but clearance should be verified.

A sensible next upgrade path on this platform would be to increase memory capacity or speed, since the CPU supports both DDR4 and DDR5. Given the CPU's locked multiplier, overclocking is not an avenue for gains. The CPU's 35 W TDP suggests it is designed for power-constrained environments, so users looking for more CPU performance may need to consider a different socket or a higher-TDP part, though the data shows the current CPU performs within 1% of several older high-end models. For the GPU, the PCIe 4.0 x16 slot provides ample bandwidth for future graphics cards, though the 600 W PSU suggestion may need to be revisited if a more power-hungry GPU is installed later.

Balance and Bottleneck

The performance data reveals a significant imbalance between the CPU and GPU in this pairing. The CPU sits at the 60th percentile of all CPUs, while the GPU is at the 98th percentile of all GPUs. This 38-point gap strongly indicates that the GPU is the primary performance driver and that the CPU is likely the limiting factor in many scenarios, particularly in tasks that require high single-threaded performance or rapid data feeding to the GPU.

In gaming workloads, the CPU's Cinebench R23 single-core score of 2,607 suggests it can handle most game logic and physics, but it may struggle to keep up with the RTX 5000 Ada at high frame rates, especially at lower resolutions where the CPU becomes the bottleneck. The GPU's immense compute power, evidenced by its 98th percentile ranking and average benchmark score of 184,664, is designed for professional workloads like rendering, simulation, and AI inference. In these tasks, the CPU's multi-core score of 18,472 in Cinebench R23 may be sufficient to feed the GPU, but the low 35 W TDP could cause the CPU to throttle under sustained combined loads, leading to potential frame drops or reduced throughput in real-time applications.

The FPS scaling data is absent (no measured FPS exists), so exact bottleneck percentages cannot be calculated. However, based on the percentile disparity, we can infer that at 1080p or 1440p gaming, the CPU will likely limit frame rates, whereas at 4K or in GPU-bound professional tasks, the GPU will be the limiting factor. The CPU's average benchmark score of 5,342 is only 0.5% to 0.8% higher than its nearest rivals, which are all older parts, suggesting that the 13900TE is not a performance outlier; it is a power-efficient part that trades raw speed for lower energy consumption. This makes the GPU the clear star of this build, and users should expect the CPU to be the bottleneck in most interactive workloads.

Who Should Build It

This configuration is tailored for professionals and prosumers who require massive GPU compute capabilities without a massive power draw from the CPU. The RTX 5000 Ada Generation's 32 GB of GDDR6 memory and 65.28 TFLOPS of FP32 performance make it ideal for 3D rendering, scientific computing, AI model training, and large-scale data visualization. The GPU's 98th percentile ranking and its closeness to rivals like the A100 SXM4 (deltaPct 0.5) and RTX PRO 5000 Blackwell (deltaPct 1.4) underscore its capability in compute-heavy tasks.

The CPU, despite its lower percentile, is well-suited for workstation tasks that are not purely single-threaded. Content creators using software like video editors or 3D modelers will benefit from the 24 cores and 32 threads, which provide solid multi-threaded performance for rendering timelines or compiling shaders. Software developers working on large codebases will find the multi-core score of 18,472 in Cinebench R23 helpful for parallel compilation, though the single-core score of 2,607 may not be stellar for tasks like code indexing or IDE responsiveness. Students and small business workstations focused on data analysis or engineering simulations will appreciate the ECC memory support and the GPU's compute power, but they should be aware that the CPU may be a constraint in highly interactive applications. Gamers at 4K resolution who also do professional work could benefit, but the CPU's 60th percentile makes it a less ideal choice for pure high-refresh gaming.

Gaming Performance

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

Based on the GPU's 98th percentile and its benchmark scores, it is safe to assume the RTX 5000 Ada Generation is capable of running most modern games at maximum settings with very high frame rates. The GPU's Geekbench Vulkan score of 194,041 and OpenCL score of 175,286 indicate substantial raw compute power that translates well to gaming. However, the CPU's single-core performance, which is in the 60th percentile, is likely to be the limiting factor at lower resolutions.

At 1080p, the CPU's Cinebench R23 single-core score of 2,607 may cap frame rates in CPU-intensive titles, potentially reducing performance to levels seen in lower-tier GPUs. At 1440p, the balance shifts slightly toward the GPU, but the CPU may still cause occasional dips in frame times. At 4K, the GPU's massive memory bandwidth of 576.0 GB/s and 32 GB of VRAM will likely allow it to dominate, with frame rates being primarily GPU-bound. For esports titles that are not heavily threaded, the CPU's 5.00 GHz boost clock should provide acceptable frame rates, but for AAA titles at high refresh rates, expect the CPU to hold back the GPU's full potential.

Usage Scenarios

High-refresh gaming: This is not the ideal configuration for 1080p or 1440p high-refresh gaming. The CPU's 60th percentile ranking and single-core score of 2,607 in Cinebench R23 will likely bottleneck the GPU, preventing it from reaching its maximum frame rate potential. At 4K, the GPU can deliver high frame rates, but the overall system is better suited for visual fidelity over raw refresh rates.

Streaming: The CPU's 24 cores and 32 threads provide ample headroom for encoding video using x264 or similar software encoders, while the GPU can handle the rendering load. The CPU's multi-core score of 18,472 in Cinebench R23 indicates it can handle simultaneous game encoding and streaming without major performance drops, though the low TDP might cause thermal throttling in sustained sessions.

Video editing: The RTX 5000 Ada's 32 GB of VRAM and 65.28 TFLOPS of FP32 performance are excellent for timeline playback, effects, and color grading in 4K or 8K projects. The CPU's multi-core performance (18,472 in Cinebench R23) will assist with rendering exports and encoding, making this a capable, if slightly CPU-limited, editing workstation.

3D rendering: This is a strong scenario for this build. The GPU's 98th percentile ranking and its proximity to the A100 SXM4 (deltaPct 0.5) indicate render performance that rivals data-center accelerators. The CPU's 32 threads will help with scene preparation and physics, but the GPU will be the primary renderer.

Software development: The CPU's 24 cores and 32 threads are beneficial for parallel builds, with the Cinebench R23 multi-core score of 18,472 suggesting solid compilation throughput. The single-core score of 2,607 may make IDE interactions feel less snappy than a higher-clocked part, but the ECC memory support is a plus for long-running server-style workloads.

Student and office work: This build is overkill for standard office tasks. The integrated UHD Graphics 770 could handle basic display output, but the discrete GPU's power and cost are wasted on document editing or web browsing. The CPU's 35 W TDP makes it power-efficient, but the GPU's 250 W TDP negates any energy savings in a full system.

Build Overview

This is a desktop-class build combining the Intel Core i9-13900TE and NVIDIA RTX 5000 Ada Generation. The CPU is a 13th Generation Raptor Lake processor, and the GPU is a professional Ada Lovelace workstation card. The combined system percentile is 79, placing it in the upper quarter of all tracked builds. However, the CPU's 60th percentile and the GPU's 98th percentile create a lopsided configuration where the graphics card is clearly the dominant component.

The Intel Core i9-13900TE is a power-sipping CPU with a 35 W TDP, which is unusual for a 24-core part. This suggests the build is intended for environments where power draw and heat are a concern, such as a small form factor workstation or a server room. The GPU, in contrast, is a dual-slot, 250 W beast with a suggested 600 W PSU, indicating it is the primary power consumer. The pairing makes sense for users who need massive GPU compute for professional applications but do not require the absolute fastest CPU, potentially saving on cooling and power infrastructure costs.

Benchmark Performance

The CPU's benchmark scores are consistent across Cinebench versions: R15 multi-core 1,861 and single-core 262; R20 multi-core 7,758 and single-core 1,094; R23 multi-core 18,472 and single-core 2,607. These translate to an average benchmark score of 5,342, placing the CPU at the 60th percentile. The nearest rival, the Intel Core i9-10900KF, scores 5,316, a delta of 0.5%, showing the 13900TE is only marginally faster despite being newer.

The GPU's benchmark results are significantly stronger. It scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, yielding an average benchmark score of 184,664. This puts the GPU at the 98th percentile of all GPUs. Its closest rival is the NVIDIA A100 SXM4 80 GB with an average score of 183,725 (deltaPct 0.5), while the A100 SXM4 40 GB scores higher at 187,147 (deltaPct -1.3). The RTX PRO 5000 Blackwell scores 182,109 (deltaPct 1.4), and the GeForce RTX 4090 D scores 178,050 (deltaPct 3.7). This data shows the RTX 5000 Ada Generation is a top-tier performer, capable of matching or beating data-center accelerators in synthetic compute benchmarks.

The combined picture is a system where the GPU provides near-flagship compute performance, while the CPU offers adequate, but not exceptional, processing power. The 60th percentile CPU is not a weak part, but it is clearly outclassed by the 98th percentile GPU, making this a GPU-centric build for professional workloads.