SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900E + NVIDIA RTX 5000 Embedded Ada Generation X2

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

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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77 Score

Top 23% Ranking

77 / 100

HIGH-END

Power Build

Top 23% 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

74%

PROCESSOR

Intel Core i9-13900E

8,676 Benchmark Score

Top 21% Market Ranking

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GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation X2

0 Benchmark Score

Top 26% Market Ranking

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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

Intel Core i9-13900E pairs a 24-core, 32-thread Raptor Lake desktop processor with dual NVIDIA RTX 5000 Embedded Ada Generation GPUs, creating a workstation-class configuration aimed at rendering, AI inference, and professional content creation. The CPU’s benchmark profile is unusual — it sits at the 65th percentile among all CPUs, yet its nearest rivals are low-power mobile chips, indicating that the average benchmark score of 8676 places it in a specific performance band rather than at the enthusiast top. The GPU pairing, however, changes the system’s character entirely: each RTX 5000 Embedded Ada Generation carries 16 GB of GDDR6 memory, 9728 shading units, 76 RT cores, and 304 tensor cores, with a boost clock of 1680 MHz and memory bandwidth of 576.0 GB/s. With two such GPUs, the system’s compute ceiling is defined by the graphics side, not the processor. The combined percentile for this build is 58, and since the FACT PACK contains no measured FPS data for this exact combination, all gaming performance figures in this analysis are estimates derived from the CPU and GPU benchmark scores and should be treated as directional rather than empirical.

CPU Analysis

The Intel Core i9-13900E is a 24-core, 32-thread processor built on the Raptor Lake-S architecture with a 10 nm process node from Intel. It runs at a base clock of 1800 MHz and boosts to 5200 MHz, with a 65 W TDP that keeps power demands modest for a 24-core part. The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. Memory support includes both DDR4 and DDR5 in a dual-channel configuration, with ECC memory enabled — a feature that matters for workstation reliability. The processor uses Intel Socket 1700 and provides PCIe Gen 5 with 16 lanes from the CPU.

Benchmark scores tell a nuanced story. In Cinebench R23, the CPU scores 34244 multi-core and 4834 single-core. The multi-core figure is strong for threaded workloads like video rendering or software compilation, while the single-core score of 4834 indicates capable per-thread performance for legacy or lightly threaded applications. Cinebench R20 shows 14382 multi-core and 2030 single-core, and R15 shows 3451 multi-core and 487 single-core. Geekbench results are lower: 8337 multi-core and 1646 single-core. The discrepancy between Cinebench and Geekbench scores suggests the processor excels in sustained all-core workloads but does not dominate in short-burst, latency-sensitive tasks.

The CPU’s percentile rank of 65 against all CPUs is modest, and the nearest rivals confirm this positioning: the Intel Core i7-8565U scores 8665 (0.1% higher), the Intel Core i5-8365U scores 8708 (0.4% higher), the AMD EPYC 7601 scores 8619 (0.7% lower), and the Intel Core i7-10510U scores 8580 (1.1% lower). All four rivals are mobile or server parts with far fewer cores, yet their average benchmark scores are statistically identical to the i9-13900E. This means the 24-core processor’s average benchmark score of 8676 is not translating into a class-leading result — likely because the benchmark average weights single-threaded performance heavily, where the 1800 MHz base clock and the architecture’s characteristics hold it back. In real workloads, the CPU’s 32 threads will shine in parallel tasks like 3D rendering or batch video encoding, but for user-interactive tasks that rely on single-thread speed, it performs at a level comparable to a quad-core ultrabook processor.

Gaming Performance

The FACT PACK contains no measured FPS rows for this exact CPU-GPU combination, so no empirical gaming figures exist. The data explicitly confirms this: the measuredFpsUltraByGame field is empty, and dataIsMeasured is false. Therefore, all FPS values in this section are estimates based on the benchmark scores of the CPU and the dual GPU configuration.

The CPU’s Cinebench R23 single-core score of 4834 suggests it can feed graphics cards adequately in most titles, but the 65th percentile CPU rank and the Geekbench single-core score of 1646 indicate that in CPU-bound scenarios, frame rates may cap below what the GPUs could otherwise deliver. The dual RTX 5000 Embedded Ada Generation GPUs each provide 32.69 TFLOPS of FP32 compute, 76 RT cores, and 304 tensor cores, with 16 GB of GDDR6 memory per card. For gaming at 1080p or 1440p, the CPU would likely be the limiting factor in titles with heavy single-threaded physics or AI logic. At 4K resolution, the GPU load increases, and the dual GPUs would likely provide high frame rates in most modern games, though SLI-style scaling is not guaranteed in all titles, and the FACT PACK does not specify multi-GPU support characteristics.

For esports titles with low CPU overhead, the system could deliver very high frame rates given the GPU compute power, but the CPU’s moderate single-core scores may hold back peak FPS in competitive shooters that favor high clock speeds. For AAA games at ultra settings, the dual GPUs’ combined memory bandwidth of 576.0 GB/s per card and 16 GB VRAM per card would handle large textures and high-resolution assets, but the lack of measured data means these are estimated expectations rather than verified results. The RT cores and tensor cores would enable ray tracing and DLSS, but again, no empirical numbers exist. The safest conclusion is that gaming performance is likely strong in GPU-bound scenarios but inconsistent in CPU-bound ones, and any specific FPS claim would be speculative.

Benchmark Performance

The CPU’s average benchmark score is 8676, placing it at the 65th percentile among all CPUs. The nearest rivals — the Intel Core i7-8565U (8665, 0.1% higher), Intel Core i5-8365U (8708, 0.4% higher), AMD EPYC 7601 (8619, 0.7% lower), and Intel Core i7-10510U (8580, 1.1% lower) — all fall within a 1.1% band. This tight clustering means the i9-13900E’s average score is effectively indistinguishable from those four parts, despite the massive core-count difference. The 24-core, 32-thread processor is being compared to quad-core and octa-core parts, and it is not separating itself in the aggregate metric.

The GPU has no benchmark scores in the FACT PACK — its avgBenchmarkScore is 0, and its percentileVsAllGpus is 50, with no nearest rivals listed. This means the GPU’s performance cannot be quantified relative to other graphics cards in the database. The GPU is also absent from any benchmark listing, so the only available data is its specification sheet: 32.69 TFLOPS FP32, 16 GB GDDR6, 576.0 GB/s bandwidth, and Ada Lovelace architecture with 76 RT cores and 304 tensor cores.

The combined percentile for this build is 58, which reflects the CPU’s 65th percentile and the GPU’s 50th percentile. The CPU is the stronger component in percentile terms, but the GPU’s raw compute specifications suggest it is far more capable than the 50th percentile rank implies — the rank appears to be a placeholder given the absence of benchmark data. The combined picture is of a system where the CPU’s benchmark profile is mediocre relative to its core count, while the GPU’s potential is high but unverified by actual scores. The Cinebench R23 multi-core score of 34244 indicates the CPU can handle heavy threaded workloads, but the average benchmark score pulls toward the low end because single-threaded tests like Geekbench (1646 single-core) drag the aggregate down.

Who Should Build It

The target user for this build is a professional who needs massive parallel compute for rendering, simulation, or AI workloads, and who can tolerate a CPU that does not lead in single-threaded tasks. The dual RTX 5000 Embedded Ada Generation GPUs, each with 9728 shading units and 32.69 TFLOPS FP32, are built for 3D rendering, video encoding, and machine learning inference. The CPU’s 32 threads and 36 MB of L3 cache support these workloads, and the 65 W TDP keeps power draw manageable for a system with two high-end GPUs.

Content creators working with 4K or 8K video editing would benefit from the GPU’s 16 GB VRAM per card and 576.0 GB/s bandwidth, which handle large frame buffers and multi-stream timelines. Software developers compiling large codebases would use the CPU’s 32 threads, though the 65th percentile rank suggests the compilation speed would be average rather than exceptional. Students and researchers in AI or data science would use the tensor cores for model training and inference, but the lack of GPU benchmark data makes it impossible to quantify performance. Small business workstations for CAD or architectural visualization would find the dual GPUs useful, but the CPU’s modest single-core scores could slow down interactive viewport operations that rely on single-threaded rendering.

Gamers at 1080p or 1440p would see the CPU as a bottleneck in some titles, while 4K gamers would lean more on the GPU. The system is not balanced for pure gaming — it is a compute-oriented workstation that happens to play games adequately.

Balance and Bottleneck

The data indicates a clear imbalance: the CPU’s average benchmark score of 8676 places it at the 65th percentile, while the GPU has no benchmark scores and sits at the 50th percentile by default. The CPU’s nearest rivals are all low-power mobile parts, which means the i9-13900E is not outrunning cheaper, lower-core processors in aggregate benchmarks. The bottleneck depends on the workload.

In gaming, the CPU’s single-core performance — reflected in the 4834 Cinebench R23 single-core score and the 1646 Geekbench single-core score — would likely limit frame rates in CPU-bound scenes. The dual GPUs have far more compute power than the CPU can feed in such scenarios. In rendering or compute tasks, the GPUs are the dominant factor, with 32.69 TFLOPS each, and the CPU’s 32 threads would keep up reasonably well, though the 34244 Cinebench R23 multi-core score is not exceptional for a 24-core part.

The FPS scaling evidence is absent because no measured FPS data exists. The only quantitative comparison available is the CPU’s percentile rank versus the GPU’s specifications. The CPU’s 65th percentile suggests it is a mid-to-upper performer, but the GPU’s raw compute figures are top-tier. This mismatch means the system is GPU-bound in compute workloads and CPU-bound in latency-sensitive workloads like gaming. The 65 W TDP of the CPU also indicates it is not a high-power part, which may limit sustained performance under heavy all-core loads compared to higher-TDP processors.

Usage Scenarios

High-refresh gaming: The dual RTX 5000 Embedded Ada Generation GPUs provide 32.69 TFLOPS FP32 each, which is ample compute for high frame rates at 1440p or 4K in most titles. However, the CPU’s single-core scores — 4834 in Cinebench R23 and 1646 in Geekbench — suggest that in esports or CPU-heavy games, the processor could cap frame rates below what the GPUs can deliver. Estimated performance is high in GPU-bound titles but inconsistent in CPU-bound ones.

Streaming: The GPU’s Ada Lovelace architecture includes dedicated encoder hardware, and with 16 GB VRAM per card, streaming at high bitrates with recording and encoding simultaneously is feasible. The CPU’s 32 threads can handle encoding offloads if software encoding is preferred, though the 65th percentile rank means it is not a top-tier encoder.

Video editing: The Cinebench R23 multi-core score of 34244 indicates the CPU can handle multi-track timelines and effects rendering. The dual GPUs accelerate GPU-accelerated effects and exports, with 576.0 GB/s memory bandwidth per card handling high-resolution footage. The 16 GB VRAM per GPU allows large preview buffers and complex compositions.

3D rendering: This is the strongest scenario. The dual GPUs with 76 RT cores each and 32.69 TFLOPS FP32 provide substantial ray-tracing and rasterization power. The CPU’s 32 threads assist in scene preparation and simulation, and the 36 MB L3 cache helps with geometry data. Estimated render times would be low compared to single-GPU systems, though no empirical scores exist.

Software development: Compilation is multi-threaded, so the 32 threads help, but the 65th percentile rank suggests the i9-13900E is not faster than many cheaper processors in build times. The ECC memory support and DDR4/DDR5 compatibility make it a stable platform for long-running builds, but developers seeking maximum compile speed would find the CPU’s single-core performance lacking.

Student and office work: The CPU’s 65 W TDP and integrated UHD Graphics 770 provide a fallback display output, but the system is overkill for such tasks. Office applications are single-threaded, and the 1646 Geekbench single-core score is modest by modern standards. Students would benefit from the GPU compute for coursework in AI or graphics, but everyday productivity is not where this system excels.

Upgrade Path and Platform

The Intel Core i9-13900E uses Intel Socket 1700, which supports DDR4 and DDR5 memory in a dual-channel configuration. The platform provides PCIe Gen 5 with 16 lanes from the CPU, which is sufficient for a single high-end GPU or storage devices. The GPU uses PCIe 4.0 x16, so it is compatible with the CPU’s PCIe Gen 5 slots, though the bus interface is one generation older.

The CPU’s TDP is 65 W, which is low for a 24-core part, and the GPU’s TDP is 150 W per card. The FACT PACK does not specify a suggested PSU, but the two GPUs at 150 W each plus a 65 W CPU indicate a total power draw that requires a robust power supply. The GPU uses no power connectors, as it is an embedded IGP-style module, which simplifies installation. The CPU has a locked multiplier, so overclocking is not an option; upgrades would come from replacing the processor itself, not tuning it.

A sensible next upgrade would be to replace the CPU with a higher-performing Socket 1700 part that has a higher percentile rank, since the current CPU’s 65th percentile is the system’s weakest link in single-threaded tasks. Alternatively, adding more memory or faster DDR5 modules would improve memory bandwidth, though the FACT PACK does not specify a bandwidth figure. The platform’s PCIe Gen 5 support means future storage devices or accelerators can be added without changing the motherboard. The dual GPU configuration already uses the available PCIe lanes, so adding more GPUs may not be feasible.

FAQ

Q: What is the CPU’s core and thread count?

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

Q: Does the CPU support ECC memory?

A: Yes, the CPU supports ECC memory, and it can use both DDR4 and DDR5 in a dual-channel configuration.

Q: What is the GPU’s memory size and bandwidth?

A: Each NVIDIA RTX 5000 Embedded Ada Generation GPU has 16 GB of GDDR6 memory with a 256-bit bus and 576.0 GB/s bandwidth.

Q: How does the CPU compare to its nearest rivals?

A: The CPU’s average benchmark score of 8676 is within 1.1% of the Intel Core i7-8565U (8665), Intel Core i5-8365U (8708), AMD EPYC 7601 (8619), and Intel Core i7-10510U (8580).

Q: Is there measured FPS data for this build?

A: No, the FACT PACK contains no measured FPS data for this exact CPU-GPU combination, so gaming performance figures are estimates.

Q: What is the CPU’s boost clock?

A: The CPU boosts to 5200 MHz from a base clock of 1800 MHz.

Q: What PCIe generation does the CPU support?

A: The CPU provides PCIe Gen 5 with 16 lanes, while the GPU uses PCIe 4.0 x16.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is a dual-GPU configuration, each based on the AD103 chip with Ada Lovelace architecture, manufactured on a 5 nm process at TSMC. Each GPU contains 45,900 million transistors on a 379 mm² die, with a transistor density of 121.1 million per mm². The base clock is 930 MHz, boosting to 1680 MHz, with memory running at 2250 MHz (18 Gbps effective). Each GPU has 16 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth. The shading units number 9728 per GPU, with 304 TMUs and 112 ROPs. Ray tracing is handled by 76 RT cores per GPU, and AI workloads use 304 tensor cores per GPU.

Compute performance is substantial: each GPU delivers 32.69 TFLOPS of FP32 and FP16 (1:1), with a pixel rate of 188.2 GPixel/s and a texture rate of 510.7 GTexel/s. The TDP is 150 W per GPU, with no power connectors required (IGP form factor). The bus interface is PCIe 4.0 x16, and the display outputs are portable device dependent. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The GPU has no benchmark scores in the FACT PACK, and its percentileVsAllGpus is 50, which is a neutral placeholder rather than a measured result. The nearestRivals field is empty, so no direct comparisons exist. The specifications indicate a high-end compute card: 16 GB VRAM per GPU handles large datasets and high-resolution textures, while the 576.0 GB/s bandwidth per GPU supports rapid data movement for rendering and AI inference. The RT cores enable ray-traced rendering, and the tensor cores accelerate deep learning. With two GPUs, the combined compute is 65.38 TFLOPS FP32, 152 RT cores, and 608 tensor cores, along with 32 GB of total VRAM. This makes the GPU configuration the dominant performance component in the system, far outpacing the CPU’s relative standing. For rendering, the dual GPUs would significantly reduce render times compared to a single-GPU system, and for AI workloads, the tensor cores provide a substantial compute foundation, though the lack of benchmark data means exact performance ratios cannot be stated.

Rate My PC: Intel Core i9-13900E + NVIDIA RTX 5000 Embedded Ada Generation X2

Power Build

System Balance Analysis

Intel Core i9-13900E

NVIDIA RTX 5000 Embedded Ada Generation X2

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

Gaming Performance

Benchmark Performance

Who Should Build It

Balance and Bottleneck

Usage Scenarios

Upgrade Path and Platform

FAQ

GPU Analysis

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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