SYSTEM ANALYZER

Rate My PC: Intel Core i7-13700E + NVIDIA RTX 4000 SFF Ada Generation

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

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
CPU Bottleneck
CPU
78%
VS
GPU
99%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i7-13700E

7,957 Benchmark Score
Top 22% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 SFF Ada Generation

117,088 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

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

The NVIDIA RTX 4000 SFF Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture, fabricated on TSMC's 5 nm process with 35,800 million transistors on a 294 mm² die. Its transistor density of 121.8M per mm² indicates a densely packed design aimed at efficiency and professional workloads. The GPU features 6,144 shading units, 192 texture mapping units, and 64 raster output pipelines, which together produce a pixel rate of 99.84 GPixel/s and a texture rate of 299.5 GTexel/s.

Memory configuration is a standout: 20 GB of GDDR6 on a 160-bit bus delivers 280.0 GB/s of bandwidth. The memory clock runs at 1750 MHz with 14 Gbps effective speed. The 20 GB capacity is substantial for large datasets, high-resolution textures, and complex 3D scenes — a capacity that exceeds typical consumer GPUs and positions this card for professional rendering, simulation, and AI-assisted workflows. The 160-bit bus width is narrower than high-end consumer cards, but the bandwidth figure of 280.0 GB/s remains workable for the SFF form factor's power envelope.

Clock speeds are conservative, with a base clock of 720 MHz and a boost clock of 1560 MHz. This low boost relative to gaming GPUs reflects the SFF (small form factor) design's thermal and power constraints, yet the raw compute throughput compensates: FP32 performance reaches 19.17 TFLOPS, with FP16 at the same 19.17 TFLOPS (1:1 ratio). This symmetric FP16/FP32 capability is critical for machine learning inference and mixed-precision rendering pipelines.

Ray tracing and tensor hardware are prominent: 48 RT cores and 192 tensor cores are integrated. The RT cores accelerate real-time ray tracing for visualization and rendering, while the tensor cores enable DLSS, AI denoising, and neural graphics features. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad API compatibility across modern applications.

The Geekbench OpenCL score of 124,812 and Vulkan score of 109,364 indicate strong general-purpose compute performance. The GPU sits at the 95th percentile of all GPUs, placing it in the top 5% of hardware. Its nearest rivals include the NVIDIA GB10 (avg score 117,393, delta -0.3%), AMD Radeon PRO W7700 (avg score 118,976, delta -1.6%), NVIDIA Tesla V100 SXM2 16 GB (avg score 114,395, delta +2.4%), and NVIDIA RTX A5500 Mobile (avg score 113,944, delta +2.8%). The data shows the RTX 4000 SFF Ada Generation is essentially neck-and-neck with the GB10, slightly behind the W7700, and clearly ahead of the older Tesla V100 and RTX A5500 Mobile. For rendering, this means the card competes with top-tier workstation GPUs from the previous generation while doing so in a compact, low-power package.

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

The Intel Core i7-13700E and NVIDIA RTX 4000 SFF Ada Generation form a desktop pairing that achieves a combined percentile of 80, indicating strong overall performance relative to all possible CPU+GPU combinations. The CPU alone sits at the 64th percentile of all CPUs, while the GPU dominates at the 95th percentile — a significant imbalance where the graphics card far outclasses the processor in relative standing.

CPU benchmark scores are consistent across generations of Cinebench and Geekbench. In Cinebench R15, the i7-13700E scores 2,816 multi-core and 397 single-core. R20 shows 11,735 multi-core and 1,656 single-core. R23 delivers 27,941 multi-core and 3,944 single-core. Geekbench results are 12,728 multi-core and 2,437 single-core. The average benchmark score is 7,957. The CPU's nearest rivals, based on average score, include the AMD EPYC 7551P (avg 7,952, delta +0.1%), Intel Core i9-10980XE (avg 7,910, delta +0.6%), Intel Xeon Gold 6326 (avg 8,071, delta -1.4%), and Intel Xeon Platinum 8180M (avg 8,110, delta -1.9%). The i7-13700E is within 0.6% of the EPYC 7551P and i9-10980XE, and within 1.9% of the Xeon Platinum 8180M — a remarkable showing for a 65W desktop chip against enterprise server processors.

GPU benchmark scores are 124,812 (Geekbench OpenCL) and 109,364 (Geekbench Vulkan), with an average of 117,088. The GPU's 95th percentile ranking is exceptional, and its nearest rival deltas are tight: -0.3% against NVIDIA GB10, -1.6% against AMD Radeon PRO W7700, +2.4% against Tesla V100, and +2.8% against RTX A5500 Mobile. This places the GPU in the upper echelon of workstation graphics.

The combined picture shows a system where the GPU is the star performer. The CPU, while solid at the 64th percentile, holds back the GPU in some workloads. The average CPU score of 7,957 is far below the GPU's 117,088, but percentile positions matter more than raw numbers. The GPU's 95th percentile versus the CPU's 64th creates a 31-percentage-point gap, suggesting that for graphics-intensive tasks, the CPU could become a limiting factor. However, for compute-heavy workloads that rely on GPU parallelism, the pairing remains potent. The data indicates this is a GPU-first build, where the CPU provides competent multi-threaded support but does not match the GPU's elite status.

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

The Intel Core i7-13700E is a 13th-generation Raptor Lake-S desktop processor, manufactured on Intel's 10 nm process with a die size of 257 mm². It has 16 cores and 24 threads, a configuration that leverages hybrid architecture — though the FACT PACK does not specify the exact P-core/E-core split, the core and thread counts imply a mix of performance and efficiency cores. The base clock is 1900 MHz, and the boost clock reaches 5.10 GHz, which is a substantial boost ratio of approximately 2.7x.

Cache hierarchy is generous: 80 KB of L1 per core, 2 MB of L2 per core, and 30 MB of shared L3 cache. This large L3 cache is beneficial for workloads with moderate data reuse, such as compiling code, database queries, and scientific simulations. Memory support includes both DDR4 and DDR5, with dual-channel configuration and ECC memory support — a feature critical for workstations that require data integrity. The memory bus is dual-channel, and the CPU provides 16 PCIe Gen 5 lanes, enabling high-bandwidth connectivity to GPUs and NVMe storage. The integrated UHD Graphics 770 provides a fallback display output, though it is not intended for demanding graphics workloads.

The CPU's 65W TDP is low for a 16-core part, indicating careful binning for power efficiency. This is an "E" variant, which typically denotes embedded or power-optimized SKUs. The multiplier is unlocked, allowing overclocking within thermal and power limits. The release date is January 3, 2023, and the part number is SRMG3.

Benchmark scores tell a story of strong multi-threaded performance with competitive single-thread speeds. Cinebench R23 multi-core of 27,941 is nearly 7x the single-core score of 3,944, reflecting the benefit of 24 threads. Geekbench multi-core of 12,728 versus single-core of 2,437 yields a 5.2x scaling factor, which is reasonable for a 16-core/24-thread chip. The R15 multi-core score of 2,816 and R20 of 11,735 follow the expected scaling pattern.

Real workload implications: The 27,941 R23 multi-core score places this CPU in contention with older high-end desktop and server chips. The nearest rivals — EPYC 7551P (avg 7,952, delta +0.1%) and i9-10980XE (avg 7,910, delta +0.6%) — are both server or HEDT parts with more cores (EPYC 7551P has 32 cores, i9-10980XE has 18 cores, though those specs are not in the pack; the deltaPct values are the basis). The i7-13700E matches them within 0.6% despite a lower TDP, showing the efficiency of Raptor Lake. For software development, the high single-core score of 3,944 in R23 ensures snappy compilation of single-threaded tasks, while the multi-core score accelerates parallel builds. For content creation, the 30 MB L3 and 24 threads handle video encoding and rendering, though the GPU will take over most rendering duties.

# 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 measured FPS data for this CPU+GPU combination — the measuredFpsUltraByGame field is empty, and dataIsMeasured is false. Therefore, all gaming performance figures discussed here are estimates based on the benchmark scores, not measured results. The reader should treat these as qualitative expectations derived from the GPU's 95th percentile rank and the CPU's 64th percentile position.

Given the GPU's Geekbench Vulkan score of 109,364, which is in the top 5% of all GPUs, the RTX 4000 SFF Ada Generation is capable of high-refresh-rate gaming at 1080p and 1440p, and solid 4K performance in most titles. The 20 GB VRAM is more than sufficient for ultra textures at 4K, and the 280.0 GB/s bandwidth supports high-resolution asset streaming. However, the GPU's workstation orientation — with 48 RT cores and 192 tensor cores — suggests that ray tracing and DLSS will be strong features, potentially exceeding consumer GPUs in ray-traced workloads.

The CPU's single-core score of 3,944 in Cinebench R23 is adequate for gaming, as most games rely on single-thread performance. The 5.10 GHz boost clock ensures high IPC for game logic and physics. The multi-core score of 27,941 provides headroom for background tasks like streaming or Discord. The 65W TDP means the CPU will not throttle in gaming scenarios, maintaining consistent performance.

At 1080p, the GPU is likely the limiting factor for frame rates above 200 FPS in esports titles, but for AAA games, the GPU will deliver well above 60 FPS at ultra settings. At 1440p, the GPU's compute power and VRAM ensure high frame rates, though the CPU's 64th percentile might cause minor bottlenecks in CPU-intensive games. At 4K, the GPU becomes the clear bottleneck, but its 19.17 TFLOPS FP32 and 20 GB VRAM keep it competitive with high-end consumer cards. Ray tracing at 4K is feasible with DLSS, given the tensor cores.

The absence of measured data means these are estimates. The GPU's 95th percentile and the CPU's 64th percentile suggest that for gaming, the pairing will perform well but may not achieve the maximum possible frame rates due to the CPU's relative weakness. Users seeking the highest FPS should consider a stronger CPU, but for most gaming scenarios, this build will deliver smooth, high-fidelity experiences.

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

The balance between the Intel Core i7-13700E and the NVIDIA RTX 4000 SFF Ada Generation is skewed toward the GPU. The GPU's 95th percentile versus the CPU's 64th percentile creates a 31-point gap, which is significant. In GPU-bound workloads — such as 3D rendering, video encoding, and machine learning inference — the GPU is the primary performer, and the CPU's job is to feed it data without stalling. The CPU's 24 threads and 30 MB L3 cache are sufficient for this role, as evidenced by the CPU's competitive average benchmark score of 7,957 against server-class rivals.

In CPU-bound workloads — such as software compilation, physics simulations, and single-threaded applications — the CPU becomes the limiting factor. The 64th percentile means the CPU outperforms 64% of all CPUs, but it lags in the top third. For example, the Cinebench R23 multi-core score of 27,941 is strong but not exceptional for a 16-core part; newer or higher-TDP chips would score higher. The single-core score of 3,944 is respectable but not class-leading, meaning games or applications that rely heavily on one core will not see the full potential of the GPU.

Gaming FPS scaling, based on estimates, shows that at 1080p, the CPU is more likely to bottleneck because frame rates are high and the CPU must process game logic quickly. The GPU's 95th percentile would be underutilized if the CPU cannot keep up. At 1440p and 4K, the GPU's rendering load increases, shifting the bottleneck toward the GPU, which is better equipped to handle the workload. The GPU's 280.0 GB/s bandwidth and 20 GB VRAM ensure it can handle high-resolution textures without stuttering.

The combined percentile of 80 is lower than the GPU's individual 95th percentile, indicating that the CPU drags down the overall system ranking. For a balanced build, the CPU should ideally be in the 80th percentile or higher. However, the pairing is still effective because the GPU's dominance compensates for the CPU's mediocrity in most real-world workloads. The data suggests that if the user prioritizes GPU-intensive tasks, the bottleneck is acceptable; if CPU-intensive tasks matter more, an upgrade would be warranted.

# 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

The Intel Core i7-13700E + NVIDIA RTX 4000 SFF Ada Generation build targets users who need workstation-class graphics in a small form factor. The GPU's 95th percentile makes it ideal for professionals in 3D rendering, CAD, and scientific visualization, where the 20 GB VRAM and 48 RT cores provide tangible benefits. The 19.17 TFLOPS FP32 and 192 tensor cores support AI-driven workflows, such as denoising and inference.

For gamers, this build is suited to 1440p and 4K gaming at high to ultra settings, based on the GPU's estimated performance. The 64th percentile CPU is sufficient for most games, but esports titles at 1080p with very high frame rates may be CPU-limited. Gamers who prioritize visual fidelity over raw FPS will find this build compelling, especially with ray tracing enabled.

Content creators — video editors, 3D artists, and animators — will benefit from the GPU's 20 GB VRAM for large projects and the CPU's 24 threads for encoding and multitasking. The Cinebench R23 multi-core score of 27,941 indicates strong rendering performance in CPU-based renderers, while the GPU's OpenCL score of 124,812 accelerates GPU-accelerated effects.

Software developers will appreciate the CPU's 5.10 GHz boost for fast compilation of single-threaded code and the multi-core score for parallel builds. The ECC memory support is a critical feature for developers working on data-intensive applications where memory errors are unacceptable. The 30 MB L3 cache speeds up database queries and large codebases.

Students and small business workstations benefit from the SFF form factor (168 mm length, 69 mm height, dual-slot) and the low TDP of both components (CPU 65W, GPU 70W). The GPU's suggested PSU of 250 W means a modest power supply suffices, reducing system cost and noise. The 4x mini-DisplayPort 1.4a outputs support multi-monitor setups for productivity. The build's combined percentile of 80 ensures it handles a wide range of tasks without feeling sluggish.

# 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: At 1080p and 1440p, the GPU's 95th percentile rank and 109,364 Vulkan score suggest frame rates well above 60 FPS in most titles, potentially exceeding 144 FPS in less demanding games. The CPU's 3,944 single-core R23 score handles game logic, though the 64th percentile may cap ultra-high refresh rates. Ray tracing at high refresh is feasible with DLSS leveraging the 192 tensor cores.

Streaming: The CPU's 24 threads and 27,941 multi-core R23 score provide ample headroom for encoding while gaming, and the GPU's NVENC (implied by the 40-series architecture) offloads encoding without significant frame loss. The 20 GB VRAM prevents texture pop-in during streaming. The combined percentile of 80 ensures smooth simultaneous gaming and encoding.

Video editing: The GPU's 124,812 OpenCL score accelerates effects, color grading, and rendering in timeline previews. The 20 GB VRAM handles 4K and 8K footage, while the CPU's 30 MB L3 cache and 24 threads speed up export encoding. The Cinebench R23 multi-core score of 27,941 ensures CPU-based renderers complete quickly.

3D rendering: The GPU's 48 RT cores and 19.17 TFLOPS FP32 deliver fast ray-traced renders, and the 20 GB VRAM holds large scenes without out-of-core spilling. The 95th percentile GPU outperforms 95% of all GPUs, making this a top-tier renderer. The CPU's 64th percentile is secondary, as most rendering happens on the GPU.

Software development: The CPU's 5.10 GHz boost and 3,944 single-core R23 score enable quick compile times for single-threaded builds, while the multi-core score of 27,941 accelerates parallel builds. ECC memory support ensures data integrity for long-running test suites. The 30 MB L3 cache reduces latency for frequent code access.

Student and office work: The 65W CPU and 70W GPU keep thermals low, and the SFF size fits in cramped desks. The integrated UHD Graphics 770 provides a backup, and the 4x mini-DisplayPort outputs support multi-monitor productivity. The combined percentile of 80 handles spreadsheets, word processing, and light creative work with ease.

# 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 combining the Intel Core i7-13700E, a 13th-generation Raptor Lake processor, with the NVIDIA RTX 4000 SFF Ada Generation, a workstation GPU. The CPU offers 16 cores and 24 threads with a 5.10 GHz boost, while the GPU provides 20 GB GDDR6 VRAM, 48 RT cores, and 192 tensor cores in a compact dual-slot form factor. Both components are production-active, with the CPU released January 2023 and the GPU March 2023.

The build class is desktop, and the overall tier is strong: the combined percentile of 80 places it above 80% of all CPU+GPU combinations. The GPU's 95th percentile is elite, while the CPU's 64th percentile is above average. This asymmetry defines the build as GPU-centric, ideal for graphics-intensive workloads. The CPU's average benchmark score of 7,957 and the GPU's average of 117,088 illustrate the performance gap, yet the pairing works because the CPU provides sufficient multi-threaded support without bottlenecking most GPU tasks.

The SFF designation of the GPU (168 mm length, 69 mm height, dual-slot) and the CPU's 65W TDP make this a compact, power-efficient workstation. The GPU's 70W TDP and suggested PSU of 250 W mean the system draws low power, suitable for small form factor cases. The build targets professionals who need workstation-grade graphics in a space-constrained environment, without sacrificing performance.

# FAQ

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

A: The combined percentile is 80, meaning this desktop build outperforms 80% of all CPU+GPU combinations.

Q: How does the GPU compare to its nearest rivals in benchmark scores?

A: The GPU's average benchmark score is 117,088. It is 0.3% behind the NVIDIA GB10 (117,393), 1.6% behind the AMD Radeon PRO W7700 (118,976), and 2.4% and 2.8% ahead of the Tesla V100 (114,395) and RTX A5500 Mobile (113,944), respectively.

Q: What is the CPU's single-core and multi-core performance in Cinebench R23?

A: The CPU scores 3,944 in single-core and 27,941 in multi-core Cinebench R23, with a boost clock of 5.10 GHz.

Q: Does this GPU support ray tracing and tensor operations?

A: Yes, the GPU has 48 RT cores for ray tracing and 192 tensor cores for AI and DLSS, with FP32 and FP16 performance at 19.17 TFLOPS each.

Q: What memory and PCIe support does the CPU offer?

A: The CPU supports DDR4 and DDR5 memory with dual-channel bus and ECC capability, plus 16 PCIe Gen 5 lanes for the GPU and other devices.

Q: Is measured gaming FPS data available for this build?

A: No, the FACT PACK contains no measured FPS data for this exact combination, so all gaming performance is estimated from benchmark scores.

Q: What is the GPU's form factor and power requirement?

A: The GPU is dual-slot, 168 mm long and 69 mm high, with a 70W TDP and a suggested PSU of 250W, requiring no external power connectors.

# Upgrade Path and Platform

The Intel Core i7-13700E uses the Intel Socket 1700, which supports 13th-generation Raptor Lake and, depending on BIOS, 12th-generation Alder Lake processors. The socket is compatible with DDR4 and DDR5 memory, but the motherboard must match the chosen memory type. The CPU provides 16 PCIe Gen 5 lanes, enabling high-bandwidth connectivity for the GPU and NVMe storage, though the RTX 4000 SFF uses PCIe 4.0 x16, which remains fully compatible.

The memory support includes dual-channel DDR4 and DDR5, with ECC capability for data-intensive workloads. Users can upgrade to a higher-core-count Raptor Lake CPU, such as a Core i9 variant, to close the 31-percentage-point gap between the CPU's 64th percentile and the GPU's 95th percentile. The 65W TDP leaves thermal headroom for a higher-TDP CPU, provided the motherboard's VRMs can handle it.

The GPU's suggested PSU of 250 W is modest, and the system's total power draw (CPU 65W + GPU 70W) is low. This leaves significant headroom for adding peripherals or upgrading components. The GPU's dual-slot, 168 mm length fits in most small form factor cases, and the lack of power connectors simplifies installation. A sensible next upgrade would be a stronger CPU to better match the GPU's performance, as the data shows the CPU is the weaker link. Alternatively, adding more memory or faster NVMe storage would enhance overall system responsiveness, though the CPU's 30 MB L3 cache already provides ample data reuse.

The platform's longevity depends on Intel's support for Socket 1700, which likely ends with 14th-generation chips. Users planning future upgrades should consider whether to stay on this platform or move to a newer socket for PCIe Gen 5 and DDR5 maturity. The GPU, however, is production-active with a successor (Blackwell PRO W) listed, so it remains a current part. The build's overall tier (80th percentile) suggests it is well-positioned for several years of use, with the GPU being the component most likely to remain relevant longer than the CPU.