SYSTEM ANALYZER

Rate My PC: Intel Core i7-12700TE + NVIDIA RTX 4000 SFF Ada Generation

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

87 / 100
HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
75%
VS
GPU
99%

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

PROCESSOR

Intel Core i7-12700TE

4,513 Benchmark Score
Top 25% 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

The Intel Core i7-12700TE and NVIDIA RTX 4000 SFF Ada Generation represent a specific, power-conscious desktop pairing. This analysis draws strictly from the benchmark data, examining what these scores mean for rendering, compute, and gaming workloads without relying on unverified specifications or pricing considerations.

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 by TSMC on a 5 nm process. The chip, designated AD104, contains 35,800 million transistors on a 294 mm² die, yielding a transistor density of 121.8M per mm². This is a compact but densely packed design, with the GPU occupying a dual-slot form factor measuring 168 mm in length and 69 mm in height. The board requires no external power connectors, drawing its power entirely from the PCIe slot, which aligns with its 70 W TDP.

Memory configuration is substantial for a low-power card. The GPU is equipped with 20 GB of GDDR6 memory on a 160-bit bus, delivering a bandwidth of 280.0 GB/s. The memory clock runs at 1750 MHz, translating to 14 Gbps effective. This capacity is notable for handling large datasets and high-resolution textures in professional applications, where the 20 GB frame buffer allows for complex scenes that would exceed the limits of smaller memory pools.

The core clock speeds are modest, with a base of 720 MHz and a boost of 1560 MHz. However, raw clock speed is not the primary driver of performance here. The GPU houses 6144 shading units, 192 texture mapping units, and 64 raster operation units. These feed a pixel rate of 99.84 GPixel/s and a texture rate of 299.5 GTexel/s. The FP32 compute throughput is rated at 19.17 TFLOPS, with FP16 achieving the same figure at a 1:1 ratio, indicating that the hardware does not use a separate accelerated path for half-precision workloads.

For ray tracing and AI-accelerated tasks, the RTX 4000 SFF Ada Generation includes 48 RT cores and 192 tensor cores. These are dedicated hardware units that offload ray-intersection calculations and tensor matrix operations from the shader array. In rendering contexts, the RT cores enable real-time ray-traced effects in supported applications, while the tensor cores accelerate denoising and other AI-based features. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, ensuring broad API compatibility.

The benchmark data shows a Geekbench OpenCL score of 124812 and a Geekbench Vulkan score of 109364. The OpenCL score, being higher than Vulkan, suggests that the GPU performs better in general-purpose compute workloads than in graphics-heavy API calls. This is consistent with a workstation focus. The average benchmark score across these tests is 117088, placing the GPU in the 95th percentile of all GPUs. This is a high ranking, indicating that the RTX 4000 SFF Ada Generation outperforms the vast majority of graphics cards in the database in raw compute terms.

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

The CPU, an Intel Core i7-12700TE, produces benchmark scores that tell a story of balanced multi-core capability with a moderate single-core showing. In Cinebench R15, the multi-core score is 1586, while the single-core score is 223. Moving to Cinebench R20, the multi-core score rises to 6612, with a single-core score of 933. In Cinebench R23, the multi-core score is 15745, and the single-core score is 2222. Geekbench results show a multi-core score of 7217 and a single-core score of 1567.

The average benchmark score for the CPU is 4513. This places the i7-12700TE in the 58th percentile of all CPUs, which is a mid-range position. The nearest rivals confirm this standing. The Intel Core i5-1250P has an average score of 4515, with a deltaPct of 0, meaning the two are essentially tied. The AMD Ryzen Embedded V2748 scores 4532, which is 0.4% higher, and the Intel Core i5-1340P scores 4545, 0.7% higher. The Intel Core i7-10700KF scores 4547, also 0.7% higher. This indicates that the i7-12700TE sits in a competitive cluster where performance differences are within a single percentage point.

The GPU, as noted, is in the 95th percentile with an average score of 117088. Its nearest rivals highlight its position. The NVIDIA GB10 scores 117393, which is 0.3% higher. The AMD Radeon PRO W7700 scores 118976, 1.6% higher. On the lower side, the NVIDIA Tesla V100 SXM2 16 GB scores 114395, which is 2.4% lower, and the NVIDIA RTX A5500 Mobile scores 113944, 2.8% lower. The RTX 4000 SFF Ada Generation is thus positioned slightly below the top-tier workstation GPUs but above several older or mobile variants.

The combined percentile for this CPU+GPU pairing is 77. This is a useful summary figure, indicating that the system as a whole outperforms 77% of all combinations in the database. The divergence is significant: the GPU is near the top of its class, while the CPU is solidly mid-pack. The combined percentile reflects this compromise, landing between the two individual percentiles. The data shows that for GPU-intensive workloads, this system will be strongly competitive, while for CPU-bound tasks, it will be merely adequate.

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

The platform is built around the Intel Socket 1700, which supports the Alder Lake architecture. The Core i7-12700TE is a 12th-generation part, and this socket is the foundation for that generation. The CPU supports both DDR4 and DDR5 memory, in a dual-channel configuration. This flexibility allows builders to choose between the maturity and cost of DDR4 or the higher bandwidth potential of DDR5, though the memory bus width remains dual-channel regardless of type.

PCIe connectivity is provided by the CPU, offering Gen 5 with 20 lanes. This is a forward-looking feature, as PCIe Gen 5 doubles the bandwidth per lane compared to Gen 4. The GPU, however, uses a PCIe 4.0 x16 interface. This means the GPU will operate at PCIe 4.0 speeds, which is not a bottleneck for the RTX 4000 SFF Ada Generation, as the card’s bandwidth requirements are well within PCIe 4.0 x16 capabilities. The system is not fully utilizing the CPU’s Gen 5 lanes, but this is a common situation where the CPU offers headroom for future storage or other expansion devices.

Power requirements are modest. The CPU has a TDP of 35 W, which is very low for a 12-core part, indicating a power-efficient design that prioritizes low heat output. The GPU has a TDP of 70 W, and the suggested PSU for the entire system is 250 W. This is a low figure, reflecting the energy-conscious nature of both components. The lack of external power connectors on the GPU reinforces that the total system draw is minimal. A sensible upgrade path would not involve a larger power supply, as the 250 W suggestion provides ample headroom for the current configuration and possibly minor additions like extra storage drives.

For a meaningful upgrade, the most logical step would be to address the CPU’s mid-range standing. Moving to a higher-tier 12th-generation or a 13th-generation part on the same Socket 1700 would improve multi-core performance without changing the motherboard. Alternatively, the GPU could be upgraded to a higher-tier workstation card, though the RTX 4000 SFF Ada Generation is already in the 95th percentile, so the gains would be marginal. The platform’s DDR4/DDR5 support means that a memory upgrade could also be considered, especially if the system is currently using DDR4 and the user wants to move to DDR5 for higher bandwidth, though this would require a motherboard change.

Who Should Build It — target users and industries tied strictly to the measured performance

The performance profile of this pairing points to specific use cases. The GPU’s 95th percentile ranking and 20 GB of VRAM make it a strong candidate for professionals working with large graphical datasets. The 280.0 GB/s memory bandwidth is sufficient for high-resolution texture streaming and complex shader workloads. Industries such as architectural visualization, product design, and scientific visualization would benefit from the GPU’s compute capabilities, as the 19.17 TFLOPS FP32 and FP16 performance can accelerate rendering tasks and simulations.

Content creators working with video editing or 3D animation would find the GPU useful, particularly for effects that rely on RT cores and tensor cores. The 48 RT cores enable real-time ray-traced previews in supported software, while the 192 tensor cores can accelerate AI-based features like denoising or upscaling. The CPU, while not top-tier, provides enough multi-core throughput for these tasks, as evidenced by its Cinebench R23 multi-core score of 15745.

For developers, the system offers a capable environment for coding, compiling, and testing. The CPU’s 12 cores and 20 threads handle parallel compilation jobs reasonably well, and the GPU’s OpenCL score of 124812 indicates strong support for compute-heavy development tasks. This could include machine learning prototyping, where the tensor cores provide acceleration for training and inference.

Students and small business workstations are also a fit, but with a caveat. The CPU’s 58th percentile ranking means it is not a high-performance part, so it may struggle with heavily multi-threaded workloads like large-scale data processing. However, for standard office productivity, web development, and light-to-moderate creative work, the system is more than adequate. The low power draw of both components, with a CPU TDP of 35 W and GPU TDP of 70 W, makes this an efficient workstation that does not require extensive cooling or a large power supply.

Gamers at 1080p or 1440p would see strong performance, given the GPU’s high percentile, but the CPU’s mid-range standing could limit frame rates in CPU-bound titles. This is not a system aimed at high-refresh-rate competitive gaming, but rather at high-fidelity visuals in slower-paced games or professional applications that have gaming-like graphical requirements.

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

The Intel Core i7-12700TE is a 12-core, 20-thread processor based on the Alder Lake architecture, which uses a hybrid design of performance and efficiency cores. The base clock is 1400.00 MHz, which is low, but the boost clock reaches 4.60 GHz. This wide range between base and boost suggests that the CPU is designed to idle at very low power and only ramp up when needed. The 10 nm process node, manufactured by Intel, is used for this chip, with a die size of 215 mm².

The cache hierarchy is substantial. Each core has 80 KB of L1 cache, and each core also has 1.25 MB of L2 cache. The L3 cache is 25 MB and shared across all cores. This large shared cache is beneficial for workloads that require frequent data sharing between cores, such as multi-threaded rendering or database queries. The CPU supports DDR4 and DDR5 memory, with a dual-channel bus, though the memory bandwidth is not specified in the data.

The integrated graphics are UHD Graphics 770, which provides a basic display output capability but is not intended for demanding graphical tasks. The CPU has a TDP of 35 W, which is exceptionally low for a part with this core count. This is a power-efficient design, suitable for small form factor builds or systems where heat output is a concern.

The benchmark scores reveal the CPU’s character. In Cinebench R23, the multi-core score of 15745 is respectable for a 35 W part, but the single-core score of 2222 is modest. The Geekbench multi-core score of 7217 and single-core score of 1567 follow a similar pattern. The average benchmark score of 4513 places the CPU in the 58th percentile, meaning it is slightly above the median but not a standout performer.

In real workloads, this CPU excels in power efficiency rather than raw speed. For tasks that are not heavily multi-threaded, such as web browsing, office applications, or light coding, the CPU will perform adequately without generating much heat. For multi-threaded workloads like video encoding or 3D rendering, the CPU will complete tasks, but slower than higher-tier parts. The 20 threads help with parallel tasks, but the low base clock means that sustained workloads may not reach the boost clock for extended periods, limiting performance.

The nearest rivals show that the i7-12700TE is comparable to the Core i5-1250P and Core i5-1340P, both of which are mobile parts, and the Ryzen Embedded V2748. This suggests that the i7-12700TE’s performance is similar to mid-range laptop CPUs, which is a consequence of its power-efficient design. The Core i7-10700KF, a desktop part, is also a close rival, indicating that the i7-12700TE offers performance comparable to an older desktop chip while using significantly less power.

Gaming Performance — estimated FPS from benchmark scores, with no measured data

There are no measured FPS rows for this exact combination of CPU and GPU. The FACT PACK contains no measuredFps data, so all frame rate discussion is estimated from the benchmark scores. The GPU’s 95th percentile ranking and the CPU’s 58th percentile ranking provide the basis for these estimates.

In GPU-bound scenarios, which are common at higher resolutions like 1440p or 4K, the RTX 4000 SFF Ada Generation should deliver high frame rates in most modern games. The 20 GB of VRAM ensures that texture-heavy games at high settings will not run out of memory. The 19.17 TFLOPS of FP32 compute is sufficient for rasterized rendering, while the RT cores enable ray tracing at playable frame rates in many titles. The Vulkan score of 109364 suggests strong performance in games that use this API, which includes many newer titles.

However, the CPU may become a limiting factor in CPU-bound scenarios, particularly at 1080p with a powerful GPU. In such cases, the CPU’s single-core performance, as indicated by the Cinebench R23 single-core score of 2222, may not keep up with the GPU’s frame output, resulting in lower frame rates than the GPU alone could achieve. This is a classic bottleneck scenario where the GPU is capable of more frames per second than the CPU can feed it.

For esports titles that are heavily CPU-bound, such as first-person shooters, the system may not deliver high refresh rates. The CPU’s mid-range standing suggests that frame rates could be inconsistent in these games. For slower-paced, visually rich games like open-world RPGs or strategy games, the system should provide a smooth experience at high settings, as these games often place more load on the GPU.

At 4K resolution, the CPU bottleneck becomes less pronounced, as the GPU is working harder and frame rates are lower overall. The RTX 4000 SFF Ada Generation, with its 280.0 GB/s bandwidth and 20 GB VRAM, is well-suited for 4K gaming, though the modest boost clock of 1560 MHz may limit peak performance in the most demanding titles. Overall, the system is estimated to be a capable 1440p gaming machine and a reasonable 4K machine, with the caveat that CPU-intensive titles may not reach the highest frame rates.

FAQ

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

A: The combined percentile is 77, meaning the system outperforms 77% of all CPU+GPU combinations in the database.

Q: How does the CPU compare to its nearest rival, the Intel Core i5-1250P?

A: The two are essentially tied, with the i5-1250P having an average score of 4515 and the i7-12700TE having a score of 4513, for a deltaPct of 0.

Q: What is the memory bandwidth of the RTX 4000 SFF Ada Generation?

A: The GPU has a memory bandwidth of 280.0 GB/s, using 20 GB of GDDR6 memory on a 160-bit bus.

Q: Does this CPU support ECC memory?

A: No, the Intel Core i7-12700TE does not support ECC memory, as indicated in the specification data.

Q: What is the suggested power supply wattage for this system?

A: The suggested PSU is 250 W, which is sufficient given the CPU’s TDP of 35 W and the GPU’s TDP of 70 W.

Q: How many RT cores does the GPU have, and what are they used for?

A: The GPU has 48 RT cores, which are dedicated to ray-tracing calculations, enabling real-time ray-traced effects in supported applications.

Q: What is the GPU’s percentile ranking among all GPUs?

A: The RTX 4000 SFF Ada Generation is in the 95th percentile, indicating it outperforms 95% of all GPUs in the database.

Build Overview

This build pairs the Intel Core i7-12700TE with the NVIDIA RTX 4000 SFF Ada Generation in a desktop form factor. The CPU is a 12-core, 20-thread Alder Lake part with a low TDP of 35 W, while the GPU is a workstation-class Ada Lovelace card with a TDP of 70 W. The system is designed for power efficiency, with a suggested PSU of only 250 W.

The GPU is the dominant component, with a 95th percentile ranking and an average benchmark score of 117088. The CPU is mid-range, with a 58th percentile ranking and an average score of 4513. The combined percentile for the pair is 77, which reflects the strong GPU pulling up the overall system performance.

This is a workstation-oriented desktop build, not a gaming rig, though it can handle gaming at high resolutions. The small form factor of the GPU, at 168 mm in length and dual-slot width, makes it suitable for compact cases. The lack of external power connectors simplifies installation. The overall tier is high-end for professional tasks, given the GPU’s compute capabilities, but the CPU holds the system back from being top-tier in all scenarios.

Balance and Bottleneck

The balance between CPU and GPU is asymmetric. The GPU is in the 95th percentile, while the CPU is in the 58th percentile. This discrepancy means that in most workloads, the GPU is the stronger component, and the CPU is the limiting factor for overall system performance.

In GPU-accelerated tasks like rendering or compute, the GPU will be the primary driver of performance. The RTX 4000 SFF Ada Generation’s 19.17 TFLOPS of FP32 compute and 48 RT cores mean that it can handle demanding graphical workloads. The CPU, while not top-tier, has enough multi-core performance, as shown by its Cinebench R23 multi-core score of 15745, to feed the GPU without becoming a severe bottleneck in most cases.

However, in CPU-bound workloads, the bottleneck shifts to the CPU. Tasks that rely heavily on single-threaded performance, such as certain simulation or scripting workloads, will be limited by the CPU’s single-core score of 2222 in Cinebench R23. The CPU’s low base clock of 1400 MHz means that it may not sustain high performance over long periods, which could affect sustained workloads.

In gaming, the bottleneck is resolution-dependent. At 1080p, the CPU is more likely to be the bottleneck, as it must process game logic and draw calls at a high rate. At 1440p or 4K, the GPU becomes the bottleneck, as it is tasked with rendering more pixels. The estimated FPS scaling would show higher frame rates at lower resolutions, but with the CPU limiting the maximum frame rate. This is a classic mid-range CPU paired with a high-end GPU, resulting in a system that is excellent for GPU-intensive tasks but leaves performance on the table in CPU-intensive scenarios.