SYSTEM ANALYZER

Rate My PC: Intel Core i9-13900E + NVIDIA GeForce RTX 5070 SUPER

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

79 / 100
HIGH-END

Power Build

Top 21% 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%
VS
GPU
79%
PROCESSOR

Intel Core i9-13900E

8,676 Benchmark Score
Top 21% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5070 SUPER

2,690 Benchmark Score
Top 21% 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.

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 i9-13900E and NVIDIA GeForce RTX 5070 SUPER form a desktop pairing that presents an unusual data profile: a 24-core processor with a 65 W TDP and high multi-threaded scores, alongside a GPU whose only recorded benchmark places it near the bottom of the GPU percentile ranking. This combination yields a combined percentile of 42, meaning that roughly 58% of all CPU+GPU pairings in the database outperform it in aggregate. The data shows a stark contrast between the CPU’s robust compute capability and the GPU’s surprisingly low measured benchmark result, which invites a closer look at what each component contributes to real-world workloads. The following analysis uses only the figures and facts provided in the FACT PACK.

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

The NVIDIA GeForce RTX 5070 SUPER is built on the Blackwell 2.0 architecture with a GB205 chip, manufactured on a 5 nm process at TSMC. The GPU houses 31,100 million transistors on a 263 mm² die, giving a transistor density of 118.3 million per square millimeter. Memory configuration includes 18 GB of GDDR7 on a 192-bit bus, providing 672.0 GB/s of bandwidth. The memory clock is listed at 1750 MHz, which translates to 28 Gbps effective. Base clock is 2325 MHz, with a boost clock of 2512 MHz. The shading units total 6400, with 200 texture mapping units and 80 render output units. Ray tracing hardware comprises 50 RT cores, and there are 200 tensor cores for AI-accelerated tasks. Pixel rate is 201.0 GPixel/s, texture rate is 502.4 GTexel/s, and FP32 throughput is 32.15 TFLOPS, with FP16 at the same 32.15 TFLOPS (1:1 ratio). The GPU’s TDP is 275 W, it occupies a dual-slot form factor, and requires a single 16-pin power connector. The bus interface is PCIe 5.0 x16, and display outputs include 1x HDMI 2.1b and 3x DisplayPort 2.1b. API support covers DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The only benchmark score recorded for this GPU is a 3DMark Steel Nomad DX12 result of 2690. Its percentile versus all GPUs is 18, meaning it sits in the bottom 18% of the database — an extremely low position for a card with 18 GB of GDDR7 and Blackwell 2.0 features. The nearest rivals in the database are all much older or lower-tier parts: the NVIDIA Quadro K1100M scores 2664 (1% lower), the GeForce GT 1030 scores 2662 (1.1% lower), the Intel Arc Pro B50 scores 2660 (1.1% lower), and the GeForce GT 440 scores 2645 (1.7% lower). This suggests that the RTX 5070 SUPER’s measured benchmark result is roughly 1% to 1.7% higher than those older GPUs, which is a negligible performance gap. For rendering workloads, the data implies that the GPU’s raw compute capabilities — as measured by the Steel Nomad test — are not translating into high benchmark scores relative to other GPUs. The 50 RT cores and 200 tensor cores are present in the hardware, but the recorded benchmark does not reflect a rendering advantage over the listed rivals. The 672.0 GB/s bandwidth and 18 GB VRAM are substantial on paper, yet the percentile ranking suggests that in the database’s scoring system, this GPU underperforms expectations.

Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The CPU benchmarks for the Intel Core i9-13900E are extensive. In Cinebench R15, it scores 3451 in multi-core and 487 in single-core. Cinebench R20 results are 14382 multi-core and 2030 single-core. Cinebench R23 yields 34244 multi-core and 4834 single-core. Geekbench scores are 8337 multi-core and 1646 single-core. The CPU’s average benchmark score is 8676, and its percentile versus all CPUs is 65, meaning it outperforms 65% of all CPUs in the database. The nearest CPU rivals are all low-power mobile parts: the Intel Core i7-8565U has an average score of 8665 (0.1% lower), 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). This clustering around the 8600–8700 range indicates that the i9-13900E’s average score is nearly identical to those older mobile and server chips, despite having 24 cores and 32 threads.

The GPU’s only benchmark is the 3DMark Steel Nomad DX12 score of 2690, with an average benchmark score of 2690 and a percentile versus all GPUs of 18. The combined percentile for this CPU+GPU pairing is 42. This combined position sits below the CPU’s individual 65th percentile, confirming that the GPU drags the overall score down significantly. The data shows a clear imbalance: the CPU is a mid-to-high performer, while the GPU is a low performer in its benchmark. In practical terms, a system with this pairing would likely excel in CPU-bound tasks like compilation or spreadsheet work, but would lag in GPU-intensive applications like gaming or 3D rendering. The Cinebench R23 multi-core score of 34244 suggests strong multi-threaded capability, while the single-core score of 4834 is respectable but not exceptional. The Geekbench multi-core score of 8337 further supports the CPU’s strength in parallel workloads. The GPU’s 2690 score in Steel Nomad, however, places it in the same performance tier as GPUs from a decade ago, which is a severe limitation.

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The Intel Core i9-13900E uses the Intel Socket 1700, which is the platform for 12th and 13th generation Core processors. The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, and it also supports ECC memory, which is a feature typically associated with workstation-class builds. The memory bus is dual-channel, but no specific memory bandwidth figure is provided. The CPU offers PCIe Gen 5 with 16 lanes (CPU only), meaning the primary graphics card slot has access to PCIe 5.0 bandwidth. The integrated graphics are UHD Graphics 770, which provide a fallback display output if the discrete GPU is unavailable. The CPU’s TDP is 65 W, which is low for a 24-core part, and this suggests that the power envelope is deliberately constrained, possibly for efficiency-focused desktop builds. The GPU’s TDP is 275 W, and the suggested PSU field is null, so no specific PSU wattage is provided in the data. However, the combined TDP of 65 W + 275 W equals 340 W, which is the only power figure derivable from the pack.

For an upgrade path, the socket 1700 platform is compatible with other 13th generation Core processors, but the data does not list any specific compatible CPUs beyond the i9-13900E. The memory support for both DDR4 and DDR5 gives flexibility, but the dual-channel configuration means that adding more memory will not increase bandwidth beyond the dual-channel limit. The PCIe Gen 5 x16 interface for the GPU is current, so the motherboard’s bandwidth is not a bottleneck. The GPU’s PCIe 5.0 x16 bus interface matches the CPU’s PCIe Gen 5 lanes, so there is no mismatch. A sensible next upgrade would be to replace the GPU, given its low benchmark percentile of 18. The CPU’s performance is adequate at the 65th percentile, so upgrading the CPU would yield smaller gains. The data shows that the GPU’s Steel Nomad score of 2690 is only 1% to 1.7% higher than rivals like the GT 1030 or GT 440, so any GPU upgrade would be a major improvement. The 18 GB GDDR7 memory and 672.0 GB/s bandwidth are not being utilized effectively in the current benchmark, so a different GPU with a higher benchmark score would better complement the CPU’s multi-threaded capabilities.

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

Given the data, this pairing is not suitable for gamers seeking high frame rates, as the GPU’s 18th percentile ranking and its benchmark score of 2690 (close to the GT 1030’s 2662) indicate that it will struggle with modern games. There are no measured FPS figures for this combination, so any gaming assessment is estimated from the GPU’s low benchmark score. Content creators working with 3D rendering or GPU-accelerated video encoding would also be poorly served, as the GPU’s rendering performance is in the bottom 18% of all GPUs. Developers, however, might find the CPU appealing: the 24 cores and 32 threads, along with a Cinebench R23 multi-core score of 34244, are well-suited for compiling code, running virtual machines, or parallel build processes. The CPU’s 65th percentile and its 0.1% delta from the i7-8565U (a low-power mobile chip) suggest that the i9-13900E’s performance is not as high as its core count implies, but it is still adequate for many development tasks.

Students and small business workstations could benefit from the CPU’s strengths in office productivity, spreadsheet calculations, and light multi-threaded work, especially given the 65 W TDP, which implies lower power consumption. The ECC memory support is a plus for data integrity in small business servers or workstations. However, the GPU’s low benchmark performance means that any task involving graphics — such as CAD, video editing, or even basic photo manipulation — would be severely hampered. The combined percentile of 42 reflects that this system is below average overall. For a user whose primary workload is CPU-based and who does not need discrete GPU performance, this could be a viable build, but the GPU adds little value. The data shows that the GPU’s nearest rivals are all older or lower-tier parts, so the RTX 5070 SUPER’s name does not match its measured performance.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The balance between the CPU and GPU is heavily skewed toward the CPU. The CPU’s percentile of 65 versus all CPUs means it is in the upper third of processors, while the GPU’s percentile of 18 places it in the bottom fifth of GPUs. This 47-point gap indicates that the GPU will be the bottleneck for any GPU-intensive workload. In gaming, the GPU’s low 3DMark Steel Nomad score of 2690 suggests that frame rates will be limited by the GPU, not the CPU. The CPU’s Cinebench R23 multi-core score of 34244 is more than capable of feeding a faster GPU, but the current GPU cannot keep up. The nearest rival GPUs, such as the GT 1030 with a score of 2662, are entry-level parts; the RTX 5070 SUPER’s score is only 1.1% higher, so gaming performance would be similar to those older cards.

For CPU-bound workloads like software compilation or data analysis, the CPU is the limiting factor only in the sense that it is the component doing the work; its 65th percentile is respectable. The GPU is not involved in these tasks, so the bottleneck shifts entirely to the CPU’s single-threaded performance, which has a Geekbench single-core score of 1646 and a Cinebench R23 single-core score of 4834. These scores are moderate, but the multi-core scores are much stronger, indicating that workloads that scale across cores will benefit. The combined percentile of 42 is lower than the CPU’s percentile because the GPU’s low score drags the average down. In any mixed workload that uses both CPU and GPU, the GPU will be the primary limiter. The data does not provide measured FPS scaling, so the exact impact on frame rates is unknown, but the GPU’s position in the bottom 18% of all GPUs is a strong indicator that it will constrain gaming performance at any resolution.

FAQ

Q: What is the CPU’s multi-core performance relative to its nearest rivals?

A: The Intel Core i9-13900E has an average benchmark score of 8676, which is 0.1% higher than the Intel Core i7-8565U (8665), 0.4% lower than the Intel Core i5-8365U (8708), 0.7% higher than the AMD EPYC 7601 (8619), and 1.1% higher than the Intel Core i7-10510U (8580).

Q: How does the GPU’s benchmark score compare to its nearest rivals?

A: The RTX 5070 SUPER scores 2690 in 3DMark Steel Nomad DX12, which is 1% higher than the NVIDIA Quadro K1100M (2664), 1.1% higher than the GeForce GT 1030 (2662), 1.1% higher than the Intel Arc Pro B50 (2660), and 1.7% higher than the GeForce GT 440 (2645).

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

A: The combined percentile is 42, meaning it outperforms 42% of all CPU+GPU pairings in the database.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-13900E supports ECC memory, which is listed in the FACT PACK.

Q: What is the GPU’s memory configuration?

A: The GPU has 18 GB of GDDR7 memory on a 192-bit bus, with a bandwidth of 672.0 GB/s and a memory clock of 1750 MHz (28 Gbps effective).

Q: Are there any measured FPS figures for this build?

A: No, the FACT PACK contains no measuredFps data for this exact CPU+GPU combination, so all FPS discussions are estimated from benchmark scores.

Q: What is the CPU’s socket and PCIe support?

A: The CPU uses Intel Socket 1700 and offers PCIe Gen 5 with 16 lanes (CPU only).

Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work. One short paragraph per scenario, citing the numbers that support the verdict

High-refresh gaming is not viable with this GPU. The RTX 5070 SUPER’s 3DMark Steel Nomad score of 2690 and its 18th percentile ranking indicate it is in the same performance class as the GT 1030 (2662) and GT 440 (2645), which are not capable of high-refresh gaming at modern resolutions. Streaming adds GPU load, and with such a low GPU score, the experience would be poor; the CPU’s Cinebench R23 multi-core score of 34244 could handle encoding, but the GPU would fail to maintain frame rates.

Video editing relies heavily on GPU acceleration for effects and rendering. The GPU’s FP32 throughput of 32.15 TFLOPS is listed, but the benchmark score of 2690 suggests that real-world performance is far below what the TFLOPS figure implies. The CPU’s multi-core strength (Cinebench R23 34244) helps with timeline scrubbing and export, but the GPU would bottleneck preview rendering. 3D rendering workloads would suffer similarly; the 50 RT cores and 200 tensor cores are present, but the GPU’s percentile of 18 shows that its measured output is minimal.

Software development is the strongest scenario for this build. The CPU’s 24 cores and 32 threads, paired with a Geekbench multi-core score of 8337 and Cinebench R23 multi-core of 34244, are well-suited for compiling large codebases or running multiple containers. The GPU is irrelevant for most development tasks, so its low score does not matter. Student and office work — document editing, spreadsheets, web browsing — are well served by the CPU’s single-core score of 4834 in Cinebench R23, and the 65 W TDP implies efficient operation. The GPU’s low benchmark does not affect these tasks, but its presence adds unnecessary cost and power draw.

Build Overview — what this CPU+GPU pairing is, its class (desktop/laptop from buildClass), and overall tier from the percentiles

This is a desktop build, as indicated by the buildClass field. The pairing consists of the Intel Core i9-13900E, a 24-core processor from the 13th Gen Raptor Lake family, and the NVIDIA GeForce RTX 5070 SUPER, a Blackwell 2.0 GPU. The combined percentile is 42, placing it in the lower-middle tier of all systems in the database. The CPU’s individual percentile of 65 shows that it is above average, while the GPU’s percentile of 18 is well below average. The overall tier is therefore defined by the GPU’s weakness, making this a system that is decent for CPU-heavy tasks but poor for graphics work. The CPU has a TDP of 65 W and the GPU has a TDP of 275 W, summing to 340 W, which is the only power figure available. The GPU’s only benchmark score of 2690 is nearly identical to the Quadro K1100M’s 2664, indicating that this GPU performs like a much older part despite its modern specifications.

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

The Intel Core i9-13900E has 24 cores and 32 threads, based on the Raptor Lake architecture (Raptor Lake-S codename) on a 10 nm process node from Intel. The die size is 257 mm². Base clock is 1800.00 MHz, and boost clock is 5.20 GHz. The cache hierarchy includes 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. The CPU supports DDR4 and DDR5 memory in dual-channel mode, with ECC support. It has PCIe Gen 5 with 16 lanes (CPU only). Integrated graphics are UHD Graphics 770. The TDP is 65 W, which is low for a 24-core part, suggesting power efficiency is prioritized. The production status is Active, and the release date is January 3, 2023.

Benchmark scores reveal a mixed picture. Cinebench R23 multi-core is 34244, which is strong, but the single-core score of 4834 is less impressive. Geekbench multi-core is 8337, and single-core is 1646. The average benchmark score is 8676, with a 65th percentile ranking. The nearest rivals are all low-power mobile CPUs (i7-8565U, i5-8365U, i7-10510U) and a server chip (EPYC 7601), with score differences of less than 1.2%. This clustering implies that the i9-13900E’s average performance is not dramatically higher than those older parts, despite having more cores. For real workloads, the multi-core scores (Cinebench R23 34244) indicate strong performance in video encoding, 3D rendering (if paired with a better GPU), and scientific computing. The single-core scores (Cinebench R23 4834) are adequate for everyday tasks but not top-tier. The 65 W TDP is notable: it suggests the CPU can deliver this performance within a modest power envelope, making it suitable for compact or efficiency-focused builds.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

The FACT PACK contains no measuredFps data for this exact CPU+GPU combination, so no measured FPS figures are available. All gaming performance discussion is therefore estimated from the benchmark scores. The GPU’s 3DMark Steel Nomad DX12 score of 2690 and its 18th percentile ranking are the primary indicators. Given that the nearest rivals are the Quadro K1100M (2664), GT 1030 (2662), and GT 440 (2645), the RTX 5070 SUPER’s gaming performance is expected to be similar to those entry-level GPUs. At 1080p with ultra settings, modern games would likely run at low frame rates, possibly below 30 FPS in demanding titles, based on the GT 1030’s known class. At 1440p or 4K, performance would be even worse, with the GPU’s 672.0 GB/s bandwidth and 18 GB VRAM unable to compensate for its low compute output. The CPU would not be the limiting factor in gaming; its Cinebench R23 single-core score of 4834 is sufficient for most games, and its multi-core score of 34244 is more than enough. The GPU is the clear bottleneck. These figures are estimates, not measured results, as the dataIsMeasured field is false. Users should not expect playable frame rates at high settings with this GPU, based on its benchmark position in the bottom 18% of all GPUs.