SYSTEM ANALYZER

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

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

97 / 100
ULTIMATE READY

Apex Performer

Top 3% 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
95%
VS
GPU
99%
PROCESSOR

Intel Core i9-13900

60,676 Benchmark Score
Top 5% 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

# GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated on a 5 nm process at TSMC. The chip, designated AD104, packs 35,800 million transistors into a 294 mm² die, yielding a transistor density of 121.8 million per mm². This is a desktop-class card, as indicated by the build class, and it sits in the 95th percentile of all GPUs, placing it among the top 5% of graphics hardware in the database.

Memory capacity is a standout feature: 20 GB of GDDR6 on a 160-bit bus, delivering a bandwidth of 360.0 GB/s. The memory clock runs at 2250 MHz, which translates to 18 Gbps effective. For large datasets, 3D scenes, or high-resolution textures, this capacity is substantial—20 GB is enough to hold massive geometry and texture sets without spilling to system memory, a critical advantage in professional rendering workloads where scenes routinely exceed 8 or 12 GB.

The GPU's base clock is 1500 MHz, with a boost clock of 2175 MHz. The boost behavior is typical of modern NVIDIA designs, sustaining higher clocks under thermal and power headroom. The pixel rate is 139.2 GPixel/s, and the texture rate is 417.6 GTexel/s, indicating strong fill-rate capabilities for a card in this class.

Compute throughput is defined by 6144 shading units, 192 texture mapping units, and 64 raster output units. The FP32 performance is rated at 26.73 TFLOPS, with FP16 also at 26.73 TFLOPS (1:1 ratio), meaning no half-rate penalty for mixed-precision workloads. This is relevant for AI-assisted rendering and denoising, where FP16 throughput matters. The RT cores number 48, and the tensor cores number 192. These are the hardware blocks that accelerate ray tracing and neural network inference, respectively. In rendering, 48 RT cores handle BVH traversal and ray-triangle intersection, while 192 tensor cores can accelerate DLSS-style upscaling and AI denoising.

Benchmark results show a Geekbench OpenCL score of 146,593 and a Geekbench Vulkan score of 123,842. The OpenCL score is notably higher, which is common for workstation-oriented drivers optimized for compute. The average benchmark score is 135,218, placing this GPU in the 95th percentile. Compared to its nearest rivals, the RTX 4000 Ada Generation is effectively tied with the NVIDIA A10M (deltaPct 0), slightly behind the AMD Radeon PRO W6800 (deltaPct -0.1), and the AMD Radeon Pro W6800X Duo (deltaPct -0.4). The AMD Radeon PRO V620 is 0.9% faster. These deltas are small—under 1%—meaning the GPU is squarely in a competitive tier with those workstation cards, despite architectural differences.

For rendering, the data suggests the GPU is well-suited to both rasterization and ray-traced workflows. The 20 GB VRAM is a key differentiator, as it allows large scenes to remain resident on the GPU. The 360.0 GB/s bandwidth is moderate, but sufficient for the memory capacity; the balance between capacity and bandwidth favors capacity, which is typical for professional rendering where scene complexity outpaces memory speed demands. The 48 RT cores and 192 tensor cores provide dedicated acceleration for ray tracing and AI-based features, respectively. The FP16 throughput matching FP32 means that mixed-precision rendering pipelines do not incur a penalty, which is a positive signal for modern renderers that use FP16 for intermediate buffers.

# Usage Scenarios

High-refresh gaming: The GPU's 95th percentile standing and 26.73 TFLOPS FP32 suggest strong rasterization performance. However, no measured FPS data exists for this exact combination, so gaming frame rates are estimates based on benchmark scores. The RTX 4000 Ada Generation's 20 GB VRAM and 48 RT cores position it well for high-refresh 1440p gaming, though the workstation-oriented drivers may not be optimized for day-one game releases. The CPU's 5.60 GHz boost clock and single-core performance (Geekbench single-core 2604) indicate it can feed the GPU at high frame rates.

Streaming: The Intel Core i9-13900 has 24 cores and 32 threads, which is ample for encoding and streaming simultaneously. The CPU's PassMark multithread score of 45,680 and Cinebench R23 multicore score of 37,931 suggest it can handle x264 encoding at high presets while maintaining game performance. The GPU's tensor cores could also offload encoding tasks via NVENC, though the fact pack does not specify encoder hardware. The 130 W TDP of the GPU and 65 W TDP of the CPU keep total system power manageable.

Video editing: The GPU's 20 GB VRAM is well-suited for video editing timelines with multiple 4K or 8K streams. The Geekbench OpenCL score of 146,593 indicates strong compute performance for effects and color grading. The CPU's Cinebench R23 multicore score of 37,931 supports fast export and rendering. The combination of a 95th percentile GPU and 92nd percentile CPU creates a balanced platform for non-linear editing software that leverages both GPU acceleration and CPU encoding.

3D rendering: The 48 RT cores and 192 tensor cores provide hardware acceleration for ray-traced renders and AI denoising. The 20 GB VRAM allows entire scenes to fit on the GPU, reducing the need for memory paging. The GPU's 26.73 TFLOPS FP32 and FP16 throughput means both single-precision and half-precision renderers run at full speed. The CPU's 24 cores handle geometry preparation, simulation, and physics, with PassMark physics score of 2484 indicating solid performance in those tasks.

Software development: The CPU's 24 cores and 32 threads accelerate compilation, with PassMark data compression score of 577,285 and integer math score of 176,107. The GPU's compute capability (OpenCL 146,593) supports CUDA-based development and testing. The 20 GB VRAM allows large model inference or data processing tasks to run locally. The ECC memory support on the CPU is a plus for development workstations where data integrity is critical.

Student and office work: The 65 W TDP of the CPU makes this a relatively efficient platform for a desktop. The integrated UHD Graphics 770 provides fallback display output, though the discrete GPU handles all graphics. The CPU's single-core performance (Cinebench R23 single-core 5,355) handles everyday tasks with ease. This is overkill for basic office work, but the performance headroom means the system will remain responsive under heavy multitasking, such as running virtual machines or large spreadsheets.

# CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

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 is manufactured on Intel's 10 nm process, with a die size of 257 mm². The base clock is 2000 MHz, and the boost clock reaches 5.60 GHz. It supports DDR4 and DDR5 memory in a dual-channel configuration, and it includes ECC memory support—a feature uncommon in consumer desktop CPUs but valuable for workstation reliability. The socket is Intel Socket 1700, and the chip uses PCIe Gen 5 with 16 lanes from the CPU. The integrated graphics are UHD Graphics 770, which provides basic display output. The launch MSRP is $549, and the TDP is 65 W, which is low for a 24-core part, indicating power management that keeps the chip within a modest envelope.

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 L3 cache is critical for workloads with high cache pressure, such as databases or scientific simulations. The 36 MB shared L3 allows frequently accessed data to stay on-die, reducing memory latency.

Benchmark scores are strong across the board. In Cinebench R23, the multicore score is 37,931, and the single-core score is 5,355. The multicore result indicates that all 24 cores scale well under sustained load, while the single-core score shows excellent per-thread performance, aided by the 5.60 GHz boost clock. In Cinebench R20, multicore is 15,931 and single-core is 2,249. In Cinebench R15, multicore is 3,823 and single-core is 539. The scaling from R15 to R23 is consistent, showing that the chip maintains performance across different workload intensities.

Geekbench scores are 21,164 multicore and 2,604 single-core. These numbers are typical for a high-end desktop CPU, with the multicore score reflecting the 24-core count and the single-core score reflecting the high boost frequency. PassMark results show a multithread score of 45,680, a single-thread score of 4,309, and a single thread score (alternative test) also at 4,309. The integer math score is 176,107, floating point math is 120,492, data compression is 577,285, data encryption is 35,242, extended instructions (SIMD) is 32,760, and random string sorting is 64,396. The find prime numbers score is 186, and physics is 2,484. These PassMark scores indicate strong integer and floating-point performance, with data compression being particularly high, which is useful for archiving and file server workloads.

The average benchmark score is 60,676, placing the CPU in the 92nd percentile of all CPUs. The nearest rivals are the Intel Xeon Gold 6338T (avg score 60,572, deltaPct 0.2), AMD Ryzen 7 8745HX (60,104, deltaPct 1), AMD Ryzen 9 7945HX (60,099, deltaPct 1), and Intel Core i9-14900F (60,008, deltaPct 1.1). The i9-13900 is 0.2% faster than the Xeon Gold 6338T, and about 1% faster than the other rivals. These are all within a tight margin, meaning the i9-13900 performs comparably to those processors, but the Xeon Gold 6338T is the closest competitor, being a server-class chip with similar average performance.

For real workloads, the 24 cores handle heavily threaded tasks like video encoding, 3D rendering, and scientific computing. The 5.60 GHz boost clock ensures snappy single-threaded performance for legacy applications or those with poor scaling. The 36 MB L3 cache reduces memory stalls in data-intensive workloads. The ECC memory support is a differentiator for professional users who require error-correcting memory.

# Who Should Build It

Gamers at 1440p or 4K: The RTX 4000 Ada Generation's 95th percentile GPU score and 20 GB VRAM are suited for high-resolution gaming. The CPU's 92nd percentile and 5.60 GHz boost clock prevent bottlenecking at high frame rates. No measured FPS data exists, but the benchmark scores indicate the GPU can drive high refresh rates at 1440p and solid frame rates at 4K, especially with DLSS enabled on the tensor cores.

Content creators: The combination of 24 CPU cores and a GPU with 48 RT cores and 192 tensor cores is ideal for video editing, 3D rendering, and motion graphics. The 20 GB VRAM handles large timelines and complex scenes. The CPU's Cinebench R23 multicore score of 37,931 accelerates export and render times.

Developers: Software engineers building CUDA applications or running machine learning models will benefit from the GPU's 26.73 TFLOPS FP32 and 192 tensor cores. The CPU's 24 cores handle compilation and testing. The ECC memory support on the CPU is a reliability feature for long-running build processes.

Students in engineering or computer science: The 65 W TDP and single-slot GPU make this a compact, efficient desktop. The CPU's single-core performance (Geekbench single-core 2,604) handles coding, documentation, and web browsing. The GPU's compute power supports coursework in graphics, simulation, or AI.

Small business workstations: The i9-13900's data compression score of 577,285 and encryption score of 35,242 make it suitable for file servers, database work, and secure communications. The GPU's OpenCL score of 146,593 supports CAD and visualization. The ECC memory and 20 GB VRAM provide reliability and headroom for professional applications.

# Benchmark Performance

The CPU's average benchmark score is 60,676, placing it in the 92nd percentile of all CPUs. The GPU's average benchmark score is 135,218, placing it in the 95th percentile of all GPUs. The combined percentile for this pairing is 94, indicating that the system as a whole sits in the top 6% of all desktop configurations in the database.

The CPU's nearest rival is the Intel Xeon Gold 6338T, which scores 60,572 (deltaPct 0.2), making the i9-13900 slightly faster. The AMD Ryzen 7 8745HX and Ryzen 9 7945HX are both about 1% slower (deltaPct 1), and the Intel Core i9-14900F is 1.1% slower. These deltas are minor, but the i9-13900 edges out all of them in average score.

The GPU's nearest rival is the NVIDIA A10M, which scores 135,230 (deltaPct 0), meaning the RTX 4000 Ada Generation is essentially equal. The AMD Radeon PRO W6800 scores 135,396 (deltaPct -0.1), meaning the RTX 4000 is 0.1% slower. The AMD Radeon Pro W6800X Duo scores 135,774 (deltaPct -0.4), and the AMD Radeon PRO V620 scores 136,472 (deltaPct -0.9), meaning those are 0.4% and 0.9% faster, respectively. The GPU is thus in a tightly contested tier where no single card has a decisive lead.

The combined picture is a desktop system with a top-tier CPU and GPU. The CPU's 92nd percentile and GPU's 95th percentile mean both components are high-end, but the GPU is relatively stronger. This creates a system where the GPU can be the primary performance driver in graphics-intensive tasks, while the CPU provides ample support for CPU-bound workloads.

# Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination. The FACT PACK contains no measuredFps data, so all frame rate figures below are estimates derived from the benchmark scores, not measured results. The absence of measured data means these estimates carry inherent uncertainty, but the underlying scores provide a basis for expectation.

The GPU's 26.73 TFLOPS FP32 and 95th percentile ranking suggest it can handle modern titles at high settings. The 20 GB VRAM provides ample headroom for high-resolution textures. The CPU's 5.60 GHz boost clock and single-core Geekbench score of 2,604 indicate it can sustain high frame rates without becoming a bottleneck.

At 1080p, the GPU is likely overkill, with frame rates limited by CPU single-thread performance. The CPU's PassMark single-thread score of 4,309 suggests it can push well over 100 FPS in most titles. At 1440p, the GPU's compute power becomes more relevant, and frame rates are expected to remain high. At 4K, the GPU's 360.0 GB/s bandwidth and 20 GB VRAM are sufficient for high-quality settings, though frame rates will drop from 1440p levels.

The RT cores enable ray-traced effects, and the tensor cores enable DLSS upscaling, which can boost frame rates significantly. These features are not reflected in the raw benchmark scores but are supported by the hardware. The GPU's 48 RT cores are fewer than some higher-tier cards, but still capable of ray tracing at playable frame rates with DLSS enabled.

# Balance and Bottleneck

In graphics-heavy workloads, the GPU is the limiting factor. The GPU's 95th percentile is higher than the CPU's 92nd percentile, meaning the GPU is relatively more powerful. However, in gaming at 1080p, the CPU's single-thread performance becomes the bottleneck, as the GPU can render frames faster than the CPU can issue draw calls. The CPU's PassMark single-thread score of 4,309 is strong, but the GPU's 26.73 TFLOPS can outpace it at low resolutions.

In CPU-heavy workloads—such as data compression, encryption, or physics simulation—the CPU is the limiting factor. The GPU's compute capability does not accelerate these tasks. The CPU's PassMark data compression score of 577,285 and encryption score of 35,242 define its ceiling in these areas.

In mixed workloads, such as 3D rendering where the CPU handles geometry and the GPU handles rasterization, the balance is more even. The CPU's 24 cores and the GPU's 6144 shading units complement each other. The FPS scaling evidence—though no measured data exists—suggests that at 4K the GPU becomes the bottleneck, while at 1080p the CPU becomes the bottleneck. The 20 GB VRAM on the GPU reduces the likelihood of memory capacity being a bottleneck, but the 360.0 GB/s bandwidth could be a constraint in texture-heavy scenes.

# Build Overview

This is a desktop build pairing the Intel Core i9-13900 with the NVIDIA RTX 4000 Ada Generation. The CPU is a 24-core, 32-thread Raptor Lake-S part with a 5.60 GHz boost clock and 36 MB L3 cache, scoring in the 92nd percentile of all CPUs. The GPU is an Ada Lovelace workstation card with 20 GB GDDR6, 48 RT cores, and 192 tensor cores, scoring in the 95th percentile of all GPUs. The combined percentile is 94, placing this system in the top 6% of desktop configurations.

The CPU's launch MSRP is $549. The GPU has no launch MSRP listed. The system overall is a high-end desktop workstation suited for professional rendering, game development, and compute-intensive tasks. The CPU's 65 W TDP is low for its core count, while the GPU's 130 W TDP is moderate for its performance class. The single-slot GPU and 1x 16-pin power connector make it a compact addition to a workstation chassis.

# FAQ

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

A: The combined percentile is 94, meaning this desktop system performs better than 94% of all configurations in the database.

Q: How does the CPU compare to its nearest rival, the Intel Xeon Gold 6338T?

A: The Intel Core i9-13900 has an average benchmark score of 60,676, which is 0.2% higher than the Xeon Gold 6338T's score of 60,572.

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

A: The NVIDIA RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 360.0 GB/s.

Q: Does this system have measured gaming FPS data?

A: No, the FACT PACK contains no measuredFps data for this exact combination, so all frame rate figures are estimates based on benchmark scores.

Q: What are the CPU's core and thread counts?

A: The Intel Core i9-13900 has 24 cores and 32 threads, with a base clock of 2000 MHz and a boost clock of 5.60 GHz.

Q: How does the GPU perform relative to the AMD Radeon PRO W6800?

A: The RTX 4000 Ada Generation scores 135,218, which is 0.1% lower than the Radeon PRO W6800's score of 135,396 (deltaPct -0.1).

Q: What is the GPU's FP32 compute throughput?

A: The GPU delivers 26.73 TFLOPS of FP32 performance, with FP16 also rated at 26.73 TFLOPS (1:1 ratio).