SYSTEM ANALYZER

Rate My PC: Intel Core i5-12600 + NVIDIA RTX 4000 SFF Ada Generation

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

94 / 100
ULTIMATE READY

Apex Performer

Top 6% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
88%
VS
GPU
99%
PROCESSOR

Intel Core i5-12600

28,646 Benchmark Score
Top 12% 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

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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 i5-12600 and NVIDIA RTX 4000 SFF Ada Generation pairing represents a highly specialized desktop configuration, combining a mainstream 12th-gen Intel processor with a professional-grade, low-profile workstation GPU. The benchmark data indicates a system that sits in the 88th combined percentile of all desktop builds, driven almost entirely by the GPU’s exceptional compute performance. While the CPU is a solid mid-range performer, the RTX 4000 SFF Ada is the dominant component, making this build a compute-focused workstation rather than a balanced gaming rig. The data shows a clear performance hierarchy where the GPU’s capabilities far outstrip the CPU’s, a fact that dictates the system’s suitability for professional rendering and AI workloads over high-refresh-rate gaming.

CPU Analysis

The Intel Core i5-12600 is a 6-core, 12-thread desktop processor based on the Alder Lake architecture, manufactured on Intel’s 10 nm process. It features a base clock of 3.30 GHz and a boost clock of 4.80 GHz, with a 65 W TDP. The cache layout includes 80 KB of L1 and 1.25 MB of L2 per core, alongside a shared 18 MB L3 cache. The chip supports dual-channel DDR4 and DDR5 memory and connects via a Gen 5 PCIe interface with 16 CPU lanes. It also includes integrated UHD Graphics 770, though the presence of a discrete GPU makes this largely redundant.

Benchmark results place the i5-12600 in the 80th percentile of all CPUs, with an average benchmark score of 28646. Its multi-core performance is demonstrated by a Cinebench R23 score of 18105, while the single-core score of 2556 indicates strong per-thread performance. In integer math, the PassMark score reaches 66123, and floating-point operations score 50838, showing a capable general-purpose compute unit. The data compression score of 252160 and encryption score of 13084 are notable, suggesting solid performance in data-heavy tasks. Compared to its nearest rivals, the i5-12600 is effectively tied with the Intel Core i5-13500T, showing a deltaPct of -0.1, and with the AMD EPYC 7203P at a deltaPct of 0.2. This means the chip is statistically indistinguishable from these alternatives in average benchmark terms.

Real-world implications show that the i5-12600 is a dependable mid-range CPU. The single-core score of 3823 in PassMark ensures snappy responsiveness in everyday applications and light gaming. The multi-thread score of 21399 makes it capable of handling compile jobs or moderate video encoding, but it is not a high-core-count workstation part. The data suggests the CPU will not bottleneck the GPU in compute-heavy tasks, but it also will not push frame rates to the extremes in gaming. The 18 MB L3 cache is adequate for most workloads, but the 10 nm process node is a generation behind the GPU’s 5 nm process, indicating a slight architectural mismatch in efficiency.

Usage Scenarios

For high-refresh gaming, this configuration is suboptimal. The RTX 4000 SFF Ada has a boost clock of 1560 MHz and 19.17 TFLOPS of FP32 performance, which is significant, but its 70 W TDP and workstation drivers are not tuned for frame generation. The i5-12600’s single-core score of 2556 in Cinebench R23 is good, but the lack of measured FPS data means estimates are based on GPU compute. Expect playable frame rates at 1080p, but the system’s strengths lie elsewhere.

Streaming is a mixed scenario. The CPU’s 12 threads and a PassMark multi-thread score of 21399 can handle x264 encoding, but the GPU’s lack of consumer-oriented NVENC optimization for this specific SKU means software encoding may be necessary. The data suggests the system is not designed for this use case, with the GPU’s compute focus leaving less headroom for concurrent encoding tasks.

Video editing benefits from the GPU’s 20 GB of VRAM and 280.0 GB/s bandwidth. The Geekbench OpenCL score of 124812 indicates strong GPU acceleration for effects and timeline rendering. The CPU’s Cinebench R23 multi-core score of 18105 will handle 4K timeline scrubbing, but export times will be limited by the CPU’s 6 cores. This is a capable but not top-tier editing machine.

3D rendering is where this system excels. The GPU’s 6144 shading units and 48 RT cores provide massive parallel compute power. The RTX 4000 SFF Ada’s average benchmark score of 117088 places it in the 95th percentile of all GPUs, making it a rendering monster. The CPU’s 18105 Cinebench R23 score will feed the GPU adequately, but render times will be GPU-bound, which is ideal for this workload.

Software development sees the CPU shine relative to the GPU. The i5-12600’s PassMark integer math score of 66123 and data encryption score of 13084 support fast compilation and cryptographic operations. The 12 threads are sufficient for most build tools, and the single-core performance ensures quick IDE responsiveness. This is a solid, if not spectacular, development machine.

Student and office work is overkill. The i5-12600’s single-core performance is more than enough for word processing and spreadsheets, but the GPU’s power is wasted. The system’s 70 W GPU TDP and 65 W CPU TDP mean low power draw, but the professional GPU cost is unjustified for basic tasks. The data shows this is a specialized tool, not a general-purpose office PC.

Upgrade Path and Platform

The platform is built around the Intel Socket 1700, which supports the i5-12600. Memory support includes both DDR4 and DDR5, but the dual-channel bus means users must choose one standard; the FACT PACK does not specify which is faster, but the option provides flexibility. The CPU offers Gen 5 PCIe with 16 lanes, which is sufficient for the RTX 4000 SFF Ada’s PCIe 4.0 x16 interface, ensuring no bandwidth bottleneck.

The GPU’s suggested PSU is 250 W, and the CPU’s TDP is 65 W, giving a combined peak power of 315 W, well within most standard power supplies. The GPU has no power connectors, drawing all its power from the PCIe slot, which simplifies installation. A sensible next upgrade would be a higher-core-count CPU on the same socket, such as a 13th-gen part, but the FACT PACK does not list compatibility, so this is speculative. The 20 GB VRAM on the GPU is substantial, and the 160-bit bus width at 280.0 GB/s is adequate, meaning the GPU is likely to remain relevant for several years.

The platform’s limitation is the CPU. With only 6 cores, the i5-12600 is the weakest link in a build where the GPU is in the 95th percentile. Upgrading the CPU to a part with more threads would balance the system, but the data does not specify which CPUs are compatible beyond the socket. The 10 nm process node is also older, meaning the CPU may run hotter than newer parts, but the 65 W TDP keeps cooling requirements modest. Overall, the upgrade path is clear: ditch the CPU for more cores, keep the GPU.

Balance and Bottleneck

The data clearly indicates a GPU-dominated system. The RTX 4000 SFF Ada’s average benchmark score of 117088 is 80.4% higher than the CPU’s 28646 average score. This disparity means that in any workload using both components, the GPU will be the limiting factor in terms of raw compute output, but the CPU will limit the rate at which tasks are dispatched. In gaming, the CPU’s single-core score of 3823 in PassMark will determine maximum frame rates, while the GPU’s 19.17 TFLOPS will handle resolution scaling. The percentile difference is stark: the CPU is in the 80th percentile, while the GPU is in the 95th percentile, indicating a 15-point gap in performance ranking.

FPS scaling in games would be constrained by the CPU at lower resolutions, where the GPU has headroom. At higher resolutions, the GPU’s 20 GB VRAM and 280.0 GB/s bandwidth will become the bottleneck. The data shows no measured FPS values, but the benchmark scores suggest that at 1080p, the CPU may limit frame rates due to its 6 cores, while at 4K, the GPU’s compute power will be the primary driver. The GPU’s 64 ROPs and 99.84 GPixel/s pixel rate are modest for a 95th-percentile card, indicating that fill-rate-bound tasks may not scale as well as compute-bound ones.

In compute workloads, the bottleneck is the CPU’s data feeding capability. The i5-12600’s memory bandwidth is not listed, but its dual-channel bus and 18 MB L3 cache may struggle to keep the GPU’s 6144 shading units fully occupied. The CPU’s PassMark find prime numbers score of 83 is low, indicating weak integer-heavy single-thread tasks, but the multi-thread score of 21399 suggests adequate parallel throughput. The balance is heavily skewed towards the GPU, making this a system that rewards compute-heavy tasks and punishes latency-sensitive ones.

Gaming Performance

No measured FPS rows exist for this exact CPU-GPU combination, and the FACT PACK contains no measuredFps data. Therefore, all gaming frame rates discussed here are estimates derived from the benchmark scores, not empirical measurements. The dataIsMeasured field is false, so these figures are qualitative expectations.

The RTX 4000 SFF Ada’s Geekbench Vulkan score of 109364 suggests strong DirectX 12 and Vulkan performance, but its workstation drivers may not prioritize game-specific optimizations. The i5-12600’s single-core Cinebench R23 score of 2556 is competitive with mid-range gaming CPUs, meaning it can drive frame rates at 1080p. At 1080p ultra settings, expect high frame rates in esports titles, but the GPU’s 70 W TDP limits its boost clocks, so sustained performance may dip. At 1440p, the GPU’s 19.17 TFLOPS will handle most games, but the 160-bit memory bus may cause stutters in texture-heavy scenes. At 4K, the 20 GB VRAM is a boon, but the 280.0 GB/s bandwidth is a constraint, likely resulting in medium-to-high settings rather than ultra.

The CPU’s 6 cores are a limitation for modern games that utilize more threads. With a PassMark multi-thread score of 21399, the i5-12600 is adequate, but not exceptional, for gaming. The lack of a multiplier unlock means no overclocking headroom to compensate. The GPU’s 48 RT cores will handle ray tracing, but the 1560 MHz boost clock is low, suggesting that ray-traced frame rates will be playable at 1080p but not at higher resolutions. Overall, this is a workstation GPU in a gaming scenario, and the estimates reflect that: competent but not elite.

Who Should Build It

This system is for professionals who need massive GPU compute in a small form factor. The RTX 4000 SFF Ada is a dual-slot, 168 mm card with no power connectors, making it ideal for compact workstations. The 20 GB VRAM is suited for large 3D scenes, machine learning models, and high-resolution video editing. The GPU’s 95th percentile ranking means it outperforms consumer cards in compute benchmarks, making it a choice for researchers and engineers running CUDA-accelerated applications.

Gamers at 1080p will find the system serviceable, but it is not optimized for them; the CPU’s single-core performance is good, but the GPU’s workstation drivers and low boost clock limit gaming potential. Content creators working in Blender or Maya will benefit from the 6144 shading units and 48 RT cores, which accelerate rendering beyond what a consumer GPU offers. Software developers doing machine learning training will appreciate the 20 GB VRAM, which is rare in this power class. Students and office workers should avoid this build; the price and performance are overkill for word processing, and the data does not support such a use case. Small business workstations for CAD or scientific computing are the target, where the GPU’s 280.0 GB/s bandwidth and 19.17 TFLOPS deliver tangible results.

Benchmark Performance

The CPU’s average benchmark score is 28646, placing it in the 80th percentile of all CPUs. Its nearest rival is the Intel Core i5-13500T with an average score of 28670, a deltaPct of -0.1, meaning the i5-12600 is essentially equal. The AMD EPYC 7203P scores 28583, a deltaPct of 0.2, also a tie. The GPU’s average benchmark score is 117088, placing it in the 95th percentile of all GPUs. Its nearest rival is the NVIDIA GB10 with a score of 117393, a deltaPct of -0.3, a statistical dead heat. The AMD Radeon PRO W7700 scores 118976, a deltaPct of -1.6, meaning the RTX 4000 SFF Ada is slightly slower.

The combined percentile is 88, indicating that this build outperforms 88% of all desktop configurations in the database. The GPU’s Geekbench OpenCL score of 124812 is 14.1% higher than its Vulkan score of 109364, suggesting better compute API performance. The CPU’s Cinebench R23 multi-core score of 18105 is 7.1 times its single-core score of 2556, showing good multi-threading scaling. The overall picture is a system that is GPU-bound, with the GPU contributing 80.4% of the combined benchmark weight. The CPU is a competent mid-ranger, but the GPU is a top-tier professional part. This imbalance makes the system exceptional for compute and underwhelming for general consumer tasks.

FAQ

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

A: The build has a combined percentile of 88, meaning it outperforms 88% of desktop configurations in the database.

Q: How does the Intel Core i5-12600 compare to its nearest rival, the Intel Core i5-13500T?

A: The i5-12600 has an average benchmark score of 28646, while the i5-13500T scores 28670. The deltaPct is -0.1, indicating the two processors are effectively equal in performance.

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 a 160-bit bus width and GDDR6 memory with a 14 Gbps effective speed.

Q: Does the i5-12600 support DDR5 memory?

A: Yes, the CPU supports both DDR4 and DDR5 memory, with a dual-channel memory bus, but the FACT PACK does not specify which is preferred.

Q: What is the TDP of the RTX 4000 SFF Ada, and what PSU is suggested?

A: The GPU has a TDP of 70 W, and the suggested PSU rating is 250 W, with the card drawing power entirely from the PCIe slot and requiring no power connectors.

Q: How does the GPU's OpenCL score compare to its Vulkan score?

A: The GPU scores 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, making the OpenCL score 14.1% higher, indicating better performance in compute-oriented APIs.

Q: What is the CPU's single-thread PassMark score?

A: The i5-12600 has a PassMark single-thread score of 3823, which is strong for everyday responsiveness and lightly-threaded applications.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a professional workstation GPU based on the Ada Lovelace architecture, built on TSMC’s 5 nm process. It uses the AD104 chip with 35,800 million transistors on a 294 mm² die, yielding a transistor density of 121.8M per mm². The GPU features 6144 shading units, 192 texture mapping units, and 64 ROPs, along with 48 RT cores and 192 tensor cores. Its base clock is 720 MHz, boosting to 1560 MHz, with a memory clock of 1750 MHz (14 Gbps effective). The 20 GB of GDDR6 memory is connected via a 160-bit bus, providing 280.0 GB/s of bandwidth. The card is dual-slot, 168 mm long, and has a 70 W TDP with no power connectors, drawing power solely from the PCIe slot.

Benchmark results are stellar. The GPU’s average benchmark score of 117088 places it in the 95th percentile of all GPUs. Its Geekbench OpenCL score of 124812 and Vulkan score of 109364 highlight its compute strength. Compared to the NVIDIA GB10, which scores 117393, the RTX 4000 SFF Ada is 0.3% slower, a negligible difference. Against the AMD Radeon PRO W7700 at 118976, it is 1.6% slower, and it is 2.4% faster than the NVIDIA Tesla V100 SXM2 16 GB at 114395. The FP32 performance of 19.17 TFLOPS and FP16 performance of 19.17 TFLOPS (1:1 ratio) are identical, indicating no consumer-grade half-rate penalty. The pixel rate is 99.84 GPixel/s, and the texture rate is 299.5 GTexel/s.

For rendering, the 48 RT cores accelerate ray tracing, and the 192 tensor cores accelerate AI denoising and DLSS-like features. The 20 GB VRAM is a standout feature, allowing large scenes and datasets to fit entirely in memory, avoiding PCIe transfers. The 280.0 GB/s bandwidth is modest for the VRAM size, which may limit performance in bandwidth-heavy applications like 4K texture streaming. The GPU’s 70 W TDP is revolutionary for this performance level, enabling quiet, low-power workstations. The display outputs are 4x mini-DisplayPort 1.4a, supporting multiple monitors. The GPU is a compute powerhouse, but its low clock speed and narrow memory bus mean it is not designed for rasterization-heavy gaming. It is a specialized tool for professionals who need CUDA compute, and the benchmark data confirms its top-tier status.