SYSTEM ANALYZER

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

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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89 Score

Top 11% Ranking

89 / 100

HIGH-END

Power Build

Top 11% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

79%

GPU

99%

PROCESSOR

Intel Core i9-13900E

8,676 Benchmark Score

Top 21% Market Ranking

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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

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

CPU Analysis

The Intel Core i9-13900E is a 24-core, 32-thread desktop processor built on the Raptor Lake architecture, specifically the Raptor Lake-S codename. It operates at a base clock of 1800 MHz and boosts up to 5.20 GHz, with a 65 W TDP. The chip is fabricated on Intel's 10 nm process node, with a die size of 257 mm². Cache hierarchy consists of 80 KB L1 per core, 2 MB L2 per core, and a shared 36 MB L3 pool. The CPU supports both DDR4 and DDR5 memory over a dual-channel bus, and it includes ECC memory support, which is notable for workstation reliability. Integrated graphics are handled by UHD Graphics 770, and the processor connects via PCIe Gen 5 with 16 CPU lanes. It is not multiplier-unlocked, meaning overclocking headroom is limited by design.

Benchmark results place this CPU at the 65th percentile among all CPUs, with an average benchmark score of 8676. In Cinebench R15, it scores 3451 in multicore and 487 in single-core. Cinebench R20 shows 14382 multicore and 2030 single-core. Cinebench R23, a heavier sustained load, yields 34244 multicore and 4834 single-core. Geekbench results are 8337 multicore and 1646 single-core. The multicore scores are strong, particularly in Cinebench R23 where the 34244 result indicates substantial throughput for rendering and compilation tasks. The single-core scores, while lower in absolute terms, reflect the 5.20 GHz boost capability, which matters for lightly threaded workloads like legacy applications or certain simulation software.

The nearest rivals by average score are all lower-tier parts: the Intel Core i7-8565U (avg 8665, delta 0.1%), Intel Core i5-8365U (avg 8708, delta -0.4%), AMD EPYC 7601 (avg 8619, delta 0.7%), and Intel Core i7-10510U (avg 8580, delta 1.1%). These deltas are small — within 1.1% — but the comparison is telling. The i9-13900E sits in the same performance neighborhood as mobile U-series chips and a first-generation EPYC server part, which is surprising given its core count. The reason is that the average benchmark score weights all tests equally, and the i9-13900E's single-core results are not dramatically higher than those of the rivals. In multicore-heavy workloads, however, the i9-13900E pulls ahead decisively. For example, Cinebench R23 multicore at 34244 dwarfs what any of those rivals could produce, but the average score dilutes that advantage. The data suggests that for mixed workloads, this CPU is competent but not elite; for heavily threaded tasks, it is substantially stronger than its percentile ranking implies.

Balance and Bottleneck

The combined percentile for this CPU+GPU pairing is 80, indicating that the system as a whole outperforms 80% of all builds in the database. The CPU sits at the 65th percentile while the GPU sits at the 95th percentile, creating a clear imbalance: the GPU is the dominant component. This means that in most workloads, the NVIDIA RTX 4000 Ada Generation will be the limiting factor only in the sense that it is the stronger part; the CPU will often be waiting on the GPU to finish rendering frames or compute tasks. However, in CPU-bound scenarios — such as physics simulation, AI inference on CPU, or single-threaded legacy code — the i9-13900E's 65th percentile position could become a bottleneck relative to the GPU's 95th percentile capability.

The data shows no measured FPS rows for this exact combination, so bottleneck analysis must rely on benchmark scores and percentiles. The CPU's Cinebench R23 multicore score of 34244 suggests it can feed a high-end GPU in most gaming scenarios, but the 65th percentile ranking among all CPUs implies that in very high-refresh gaming at lower resolutions, the CPU might limit frame rates. Conversely, the GPU's 95th percentile and its massive compute throughput (26.73 TFLOPS FP32) means that at higher resolutions or with ray tracing enabled, the GPU will be the primary driver of performance. The deltaPct values for the CPU's rivals are all under 1.2%, which means the CPU is not isolated in its performance tier; it is surrounded by parts that score similarly on average. This suggests that in mixed workloads, the system's balance is heavily skewed toward GPU capability, and users should expect GPU-bound behavior in most modern applications.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation GPU built on the Ada Lovelace architecture, using the AD104 chip fabricated on TSMC's 5 nm process. It packs 35,800 million transistors on a 294 mm² die, yielding a transistor density of 121.8 million per mm². The GPU has 6144 shading units, 192 texture mapping units, and 64 ROPs. It features 48 RT cores and 192 tensor cores, which are dedicated to ray tracing and AI-accelerated workloads respectively. The boost clock is 2175 MHz, with a base clock of 1500 MHz. Memory consists of 20 GB of GDDR6 on a 160-bit bus, with a bandwidth of 360.0 GB/s and an effective memory clock of 18 Gbps. Pixel rate is 139.2 GPixel/s, and texture rate is 417.6 GTexel/s. FP32 compute is rated at 26.73 TFLOPS, with FP16 at the same 26.73 TFLOPS (1:1 ratio). The GPU consumes 130 W TDP and requires a 300 W suggested PSU. It is a single-slot card, 245 mm long and 112 mm tall, with a 16-pin power connector and four DisplayPort 1.4a outputs. It uses a PCIe 4.0 x16 interface.

The GPU's benchmark scores are 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan, giving it an average benchmark score of 135218 and placing it at the 95th percentile among all GPUs. Its nearest rivals are the NVIDIA A10M (avg 135230, delta 0%), AMD Radeon PRO W6800 (avg 135396, delta -0.1%), AMD Radeon Pro W6800X Duo (avg 135774, delta -0.4%), and AMD Radeon PRO V620 (avg 136472, delta -0.9%). All deltas are within 1%, meaning the RTX 4000 Ada is essentially tied with these competitors in average benchmark performance. However, the 20 GB VRAM and the dedicated RT/tensor cores give it advantages in specific workloads that the average score does not capture. The 360 GB/s bandwidth is modest for a 95th-percentile GPU, but the high FP32 throughput compensates in compute-heavy tasks. For rendering, the 48 RT cores enable hardware-accelerated ray tracing, while the 192 tensor cores accelerate DLSS and AI-based denoising. The 1:1 FP16 ratio is particularly useful for machine learning inference where half-precision is acceptable.

Usage Scenarios

High-refresh gaming: At 1080p or 1440p, the GPU's 95th percentile performance will push very high frame rates, but the CPU's 65th percentile may cap frames in CPU-limited titles. The Cinebench R23 single-core score of 4834 suggests adequate per-thread performance, but users chasing 240 Hz or higher may see CPU limitations. The 20 GB VRAM ensures no capacity issues at any resolution.

Streaming: The GPU's NVENC (via Ada Lovelace tensor cores) can handle encoding without taxing the CPU, and the CPU's 32 threads provide ample headroom for game plus stream encoding simultaneously. The 65th percentile CPU ranking is not a concern here, as streaming is mostly GPU-accelerated.

Video editing: The CPU's Cinebench R23 multicore score of 34244 will accelerate timeline rendering and export in multi-threaded editors, while the GPU's 26.73 TFLOPS FP32 accelerates effects and color grading. The 20 GB VRAM allows for large preview buffers and multiple high-res streams.

3D rendering: The GPU's 48 RT cores and 192 tensor cores excel at ray-traced renders and AI-accelerated denoising, making this system well-suited for Blender or similar software. The CPU's 34244 multicore score handles scene preparation and physics. The 1:1 FP16 ratio is a bonus for half-precision render passes.

Software development: The CPU's 32 threads and 36 MB L3 cache aid compilation of large codebases, and the 65 W TDP keeps power draw low during long builds. The GPU's compute capability accelerates unit tests and simulation, though the 95th percentile GPU is overkill for most development tasks.

Student and office work: This pairing is excessive for document editing, spreadsheets, and web browsing. The CPU's single-core score of 4834 in Cinebench R23 ensures snappy responsiveness, but the GPU's 20 GB VRAM and 130 W TDP are wasted on such workloads. The 65 W CPU TDP and 300 W suggested PSU mean the system is efficient enough for daily use, but it is priced and sized for professional tasks.

Upgrade Path and Platform

The Intel Core i9-13900E uses Intel Socket 1700, which is the platform for 12th and 13th Gen Core processors. The CPU supports both DDR4 and DDR5 memory, so users can choose based on motherboard compatibility and budget. It also supports ECC memory, which is rare for consumer sockets and valuable for data integrity in workstation builds. The PCIe Gen 5 interface with 16 CPU lanes provides high bandwidth for the latest SSDs and GPUs, though the RTX 4000 Ada uses PCIe 4.0 x16, so it will run at Gen 4 speeds without issue. The CPU's 65 W TDP is low for a 24-core part, which means most Socket 1700 motherboards with adequate VRM cooling can handle it. The GPU's suggested PSU is 300 W, and the CPU's TDP is 65 W, so a combined system PSU of around 500-600 W is sufficient for typical loads, though the 16-pin GPU connector requires a modern PSU with that cable.

A sensible next upgrade would be a newer GPU from the Blackwell PRO W series, as the RTX 4000 Ada's successor is listed as such. However, the current GPU already sits at the 95th percentile, so the upgrade would only matter for workloads that exceed 20 GB VRAM or need higher bandwidth. On the CPU side, the Socket 1700 platform is nearing end-of-life, so a future upgrade would require a new motherboard. The 65 W TDP means users could upgrade to a higher-TDP 13th Gen part without changing cooling, but the locked multiplier limits overclocking. For most users, the current pairing is well-balanced for professional workloads, and the platform has headroom for memory capacity and storage expansion via PCIe Gen 5.

FAQ

Q: Does this CPU support ECC memory?

A: Yes, the Intel Core i9-13900E has ECC memory support enabled, which is a key feature for workstation reliability.

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

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

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

A: The i9-13900E's average benchmark score is 8676, which is within 1.1% of its closest rivals, including the Intel Core i7-8565U at 8665 and the AMD EPYC 7601 at 8619.

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

A: The RTX 4000 Ada Generation delivers 26.73 TFLOPS of FP32 performance, with FP16 also at 26.73 TFLOPS (1:1 ratio).

Q: What power supply is recommended for the GPU alone?

A: The suggested PSU for the RTX 4000 Ada Generation is 300 W, and the GPU itself has a 130 W TDP.

Q: Does the CPU have integrated graphics?

A: Yes, the i9-13900E includes UHD Graphics 770, which can handle basic display output without a discrete GPU.

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

A: The combined system percentile is 80, meaning it outperforms 80% of all builds in the database.

Who Should Build It

This system targets professionals who need high compute throughput in a desktop form factor. The GPU's 95th percentile ranking and 20 GB VRAM make it ideal for 3D artists working with ray-traced renders, as the 48 RT cores accelerate scene lighting and the 192 tensor cores speed up AI denoising. Content creators editing 4K or 8K video will benefit from the GPU's 26.73 TFLOPS FP32 for effects and the CPU's 34244 Cinebench R23 multicore score for export times. Software developers compiling large codebases will appreciate the 32 threads and 36 MB L3 cache, while the ECC memory support ensures data integrity in long-running builds. The 65 W CPU TDP keeps the system efficient for office environments, but the GPU's 300 W suggested PSU means it is not a low-power build. Students and small business workstations would find this overkill, as the 95th percentile GPU is far beyond the needs of document editing or spreadsheet tasks. Gamers at 4K resolution will see excellent frame rates, but the CPU's 65th percentile ranking may bottleneck at lower resolutions with high refresh rates.

Build Overview

This is a desktop build pairing the Intel Core i9-13900E with the NVIDIA RTX 4000 Ada Generation. The CPU is a 24-core, 32-thread Raptor Lake-S part with a 65 W TDP, while the GPU is a workstation-class Ada Lovelace card with 20 GB VRAM and a 130 W TDP. The combined system percentile is 80, indicating that this pairing outperforms 80% of all builds in the database. The CPU's individual percentile is 65, while the GPU's is 95, showing a clear performance hierarchy where the GPU dominates. This is a professional workstation configuration, not a consumer gaming rig, as evidenced by the GPU's workstation generation and the CPU's ECC memory support. The system is designed for compute-heavy tasks like 3D rendering, video editing, and AI workloads, where the GPU's tensor cores and RT cores provide specialized acceleration.

Benchmark Performance

The CPU's average benchmark score is 8676, with a percentile rank of 65 among all CPUs. Its best result is Cinebench R23 multicore at 34244, followed by Cinebench R20 multicore at 14382 and Cinebench R15 multicore at 3451. Single-core scores are 4834 in Cinebench R23, 2030 in Cinebench R20, and 487 in Cinebench R15. Geekbench scores are 8337 multicore and 1646 single-core. The GPU's average benchmark score is 135218, with a percentile rank of 95 among all GPUs. Its Geekbench OpenCL score is 146593, and its Vulkan score is 123842. The combined picture is a system where the GPU is the clear performance leader, contributing most to the 80th combined percentile. The CPU's 65th percentile is adequate but not exceptional, meaning that in GPU-bound workloads, the system will perform near the top tier, but in CPU-bound tasks, it will be merely average. The deltaPct values for both components' rivals are under 1.2%, indicating that neither part is isolated in its performance tier; small changes in workload can shift the ranking among close competitors.

Gaming Performance

No measured FPS rows exist for this exact combination in the FACT PACK. The data does not include any measuredFpsUltraByGame entries, so all frame rate discussion is estimated from benchmark scores and percentiles, not from direct testing. Based on the GPU's 95th percentile and 26.73 TFLOPS FP32, this system should deliver very high frame rates at 1440p and 4K in most games, particularly those that leverage ray tracing via the 48 RT cores. The 20 GB VRAM ensures no texture loading issues at any resolution. The CPU's 65th percentile, however, suggests that at 1080p with a high-refresh monitor, the i9-13900E may limit frame rates in CPU-bound titles, especially those that rely on single-thread performance (Cinebench R23 single-core: 4834). At 4K, the GPU will almost certainly be the bottleneck, which is the preferred scenario for consistent frame pacing. Users should expect strong gaming performance at high resolutions and settings, but should not expect the CPU to keep pace with the GPU in esports titles at 1080p with 240 Hz+ refresh rates. These are estimates based on benchmark scores, not measured game data.

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

Power Build

System Balance Analysis

Intel Core i9-13900E

NVIDIA RTX 4000 Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Balance and Bottleneck

GPU Analysis

Usage Scenarios

Upgrade Path and Platform

FAQ

Who Should Build It

Build Overview

Benchmark Performance

Gaming Performance

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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