SYSTEM ANALYZER

Rate My PC: Intel Core i9-14901TE + NVIDIA RTX 4000 SFF Ada Generation

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

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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70 Score

Top 30% Ranking

70 / 100

HIGH-END

Power Build

Top 30% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

CPU Bottleneck

CPU

41%

GPU

99%

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

PROCESSOR

Intel Core i9-14901TE

0 Benchmark Score

Top 59% Market Ranking

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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

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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.

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

# CPU Analysis

The Intel Core i9-14901TE is a desktop-class processor built on the Raptor Lake architecture, specifically the Raptor Lake-R refresh. It features 8 cores and 16 threads, with a base clock of 2.30 GHz and a boost clock of 5.50 GHz. This is a notably wide clock range, indicating that the chip can operate at very low power when idle but scale aggressively under load. The 45 W TDP is exceptionally low for a Core i9 part, positioning this as an efficiency-focused variant within the Core 14th Gen lineup.

The cache hierarchy is substantial: 80 KB of L1 per core, 2 MB of L2 per core, and 36 MB of shared L3 cache. With 8 cores, the total L2 cache reaches 16 MB, and the L3 is shared across all cores. This large cache pool is critical for workloads that exhibit temporal locality, such as database queries, compilation tasks, and certain scientific simulations. The die size is 257 mm², fabricated on Intel's 10 nm process node.

The processor supports both DDR4 and DDR5 memory in a dual-channel configuration, which provides flexibility for system builders. ECC memory support is enabled, a feature typically reserved for workstation and server platforms. This makes the i9-14901TE suitable for error-sensitive workloads like financial modeling, rendering farms, and data processing where a single bit flip could corrupt hours of computation. The integrated UHD Graphics 770 provides basic display output and hardware acceleration, though the system's primary graphics workload will be handled by the dedicated GPU.

The processor uses the Intel Socket 1700 platform and supports PCIe Gen 5 with 16 lanes from the CPU. This provides ample bandwidth for a modern GPU and high-speed NVMe storage. The multiplier is locked, meaning overclocking is not officially supported, but the boost behavior is well-defined by Intel's default algorithms. The production status is Active, and the release date is June 30, 2024.

Benchmark data for the CPU is sparse—the average benchmark score is 0, and the percentile versus all CPUs is 50. This places the chip at the median of all CPUs in the database, which is interesting given its Core i9 branding. The lack of nearest rivals data and benchmark scores means we must interpret its performance qualitatively from the architectural specifications. The 5.50 GHz boost clock is among the highest in the database, which suggests strong single-threaded performance for lightly-threaded tasks. The 8-core/16-thread configuration is balanced for both single-threaded responsiveness and moderate multi-threaded throughput. For real workloads, this translates to snappy application launches, fast web browsing, and competent performance in productivity suites. The 45 W TDP, however, suggests the sustained multi-core performance may be limited by thermal and power constraints compared to higher-TDP parts.

# Balance and Bottleneck

The system pairs the i9-14901TE with the NVIDIA RTX 4000 SFF Ada Generation GPU. The combined percentile is 73, placing this build above the majority of systems in the database. The CPU's percentile is 50, while the GPU's percentile is 95. This asymmetry indicates that the GPU is the dominant component in terms of overall performance ranking, and the CPU is likely to be the limiting factor in GPU-bound workloads.

The RTX 4000 SFF Ada Generation GPU has a TDP of 70 W, while the CPU has a TDP of 45 W. The total system power demand is modest, with the suggested PSU rating at 250 W. This suggests a balanced power envelope where neither component is disproportionately power-hungry. The GPU's benchmark scores—124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan—demonstrate strong compute capabilities that can easily saturate the CPU's ability to feed it in gaming scenarios.

For gaming, the bottleneck analysis points to the CPU at lower resolutions and the GPU at higher resolutions. The CPU's 5.50 GHz boost clock helps mitigate CPU-bound scenarios, but the 8-core configuration may limit frame rates in highly-threaded game engines. The GPU's 95th percentile ranking means it can produce very high frame rates, but the CPU must keep up with draw calls, physics, and game logic. In practice, expect the CPU to limit frame rates in esports titles at 1080p, while the GPU becomes the constraint at 4K or with heavy ray tracing.

For productivity workloads, the balance shifts. The GPU's 20 GB VRAM and 280.0 GB/s bandwidth are designed for large datasets, and the 6144 shading units provide massive parallel throughput. The CPU's 16 threads and 36 MB L3 cache are adequate for feeding the GPU in rendering and simulation tasks, but the 45 W TDP may throttle sustained multi-threaded CPU workloads. The data shows a system that favors GPU-accelerated tasks over CPU-heavy computation.

# Usage Scenarios

High-refresh gaming: The RTX 4000 SFF Ada Generation GPU, with its 95th percentile ranking, is capable of driving high frame rates. However, the CPU's 50th percentile means it may not consistently deliver the frame pacing required for 240 Hz monitors in CPU-bound titles. The 5.50 GHz boost clock helps, but expect the CPU to be the bottleneck in esports at 1080p.

Streaming: The GPU's 192 tensor cores and 48 RT cores provide hardware acceleration for encoding and AI-enhanced streaming features. The CPU's 16 threads can handle encoding workloads if software encoding is preferred, but the GPU's NVENC (inferred from Ada Lovelace architecture) is more efficient. The 45 W CPU TDP leaves thermal headroom for sustained streaming sessions.

Video editing: The GPU's 19.17 TFLOPS of FP32 performance and 20 GB VRAM handle 4K timelines and effects smoothly. The CPU's 36 MB L3 cache accelerates timeline scrubbing and preview rendering. The dual-channel memory support, while not as fast as quad-channel, is adequate for proxy editing and moderate multi-stream timelines.

3D rendering: The GPU's 6144 shading units and 192 tensor cores provide substantial rendering throughput, with benchmark scores 2.4% above the Tesla V100 SXM2 16 GB. The CPU's 16 threads handle scene management and physics simulation, but the 45 W TDP may limit CPU-side rendering performance compared to higher-TDP workstation CPUs.

Software development: The CPU's 8 cores and 16 threads handle compilation tasks with the 36 MB L3 cache reducing recompilation times. The 5.50 GHz boost clock accelerates single-threaded tooling like linters and parsers. The GPU is less relevant here, but its CUDA capabilities (inferred from architecture) can accelerate code testing and simulation.

Student and office work: The 45 W TDP makes this an energy-efficient choice for all-day computing. The integrated UHD Graphics 770 provides backup display output. The CPU's 50th percentile ranking indicates average performance for office tasks, but the 5.50 GHz boost clock ensures responsive UI interactions. The GPU is overkill for this scenario, but its low 70 W TDP means it does not significantly increase power draw.

# Gaming Performance

No measured FPS data exists for this exact CPU+GPU combination—the dataset contains no measuredFpsUltraByGame entries. All frame rate discussions are therefore estimates derived from the benchmark scores and component specifications. The RTX 4000 SFF Ada Generation GPU ranks in the 95th percentile of all GPUs, with an average benchmark score of 117088. This places it slightly below the NVIDIA GB10 (0.3% slower) and AMD Radeon PRO W7700 (1.6% slower), but above the Tesla V100 SXM2 16 GB (2.4% faster than that rival) and RTX A5500 Mobile (2.8% faster).

Based on these scores, the GPU should deliver high frame rates at 1080p and 1440p in most titles. The 20 GB VRAM is ample for textures at high resolutions. The CPU, with its 50th percentile ranking, may limit performance in games that are heavily dependent on single-thread performance, despite the 5.50 GHz boost clock. At 4K, the GPU becomes the primary determinant of frame rates, and the CPU's influence diminishes. Expect playable frame rates at 4K in most titles, with ultra settings possible in less demanding games. In ray-traced workloads, the 48 RT cores provide dedicated hardware acceleration, but the 70 W GPU TDP may limit sustained boost clocks. Overall, this is a capable 1440p gaming system with 4K potential in optimized titles.

# Who Should Build It

The target users for this build are professionals and enthusiasts who need workstation-class GPU compute in a small-form-factor desktop. The RTX 4000 SFF Ada Generation's 20 GB VRAM, 160-bit bus, and 280.0 GB/s bandwidth support large datasets in scientific visualization, machine learning inference, and 3D modeling. The CPU's ECC memory support and 36 MB L3 cache make it suitable for financial analysis, data processing, and server-like workloads.

Gamers at 1440p and 4K will find this system capable, though the CPU's median ranking may require lowering settings in CPU-bound titles. Content creators working with 4K video or complex After Effects compositions will benefit from the GPU's 19.17 TFLOPS and 192 tensor cores for AI-assisted effects. Software developers building large C++ or Rust projects will appreciate the 5.50 GHz boost clock and 16 threads, though the 45 W TDP may not sustain all-core boosts for long compilations. Students in engineering or data science fields will find the ECC memory support and GPU compute capabilities useful for coursework. Small business workstations running database servers or virtual machines can leverage the CPU's efficiency and the GPU's parallel processing for reporting and analytics.

# GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture with a 5 nm TSMC process. The AD104 chip contains 35,800 million transistors on a 294 mm² die, resulting in a transistor density of 121.8 million per mm². The GPU has 6144 shading units, 192 texture mapping units, and 64 render output units. The 48 RT cores handle ray tracing workloads, while the 192 tensor cores accelerate AI and deep learning operations.

Memory configuration includes 20 GB of GDDR6 on a 160-bit bus, yielding 280.0 GB/s of bandwidth. The memory clock is 1750 MHz with 14 Gbps effective transfer rate. The base clock is 720 MHz with a boost clock of 1560 MHz. Pixel rate is 99.84 GPixel/s, and texture rate is 299.5 GTexel/s. FP32 performance is 19.17 TFLOPS, with FP16 also at 19.17 TFLOPS (1:1 ratio), indicating no consumer-oriented FP16 acceleration.

The power envelope is remarkably low at 70 W TDP, with no power connectors required—the card draws power solely from the PCIe slot. The dual-slot design measures 168 mm in length and 69 mm in height, making it suitable for small-form-factor cases. Display outputs include four mini-DisplayPort 1.4a connectors. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Benchmark performance is strong: the Geekbench OpenCL score of 124812 and Vulkan score of 109364 average to 117088. This places the GPU in the 95th percentile of all GPUs. Compared to nearest rivals, it is 0.3% slower than the NVIDIA GB10, 1.6% slower than the AMD Radeon PRO W7700, 2.4% faster than the Tesla V100 SXM2 16 GB, and 2.8% faster than the RTX A5500 Mobile. These results indicate that the RTX 4000 SFF Ada Generation sits at the upper mid-range of workstation GPUs, offering strong compute performance but not flagship-level throughput.

For rendering workloads, the 20 GB VRAM is critical for large scenes and high-resolution textures. The 280.0 GB/s bandwidth may be a limiting factor for data-intensive tasks, but the 192 tensor cores provide acceleration for DLSS and other AI-based rendering features. The 48 RT cores deliver hardware-accelerated ray tracing, which is beneficial for architectural visualization and product design.

# Benchmark Performance

The GPU's benchmark scores are well-documented: 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, averaging to 117088. This places the GPU in the 95th percentile of all GPUs. The nearest rival, the NVIDIA GB10, scores 117393, a delta of -0.3%; the AMD Radeon PRO W7700 scores 118976, a delta of -1.6%; the Tesla V100 SXM2 16 GB scores 114395, a delta of +2.4%; and the RTX A5500 Mobile scores 113944, a delta of +2.8%. These deltas indicate that the RTX 4000 SFF Ada Generation is competitive with its immediate rivals, performing within a narrow margin of ±3% across the board.

The CPU benchmark data is less informative: the average benchmark score is 0, and the percentile versus all CPUs is 50. There are no nearest rivals listed and no benchmark entries. This absence of data means we cannot quantify the CPU's performance relative to other processors. The percentile of 50 suggests median performance, but the 5.50 GHz boost clock and 36 MB L3 cache indicate potential for above-median single-threaded performance. The combined percentile for the system is 73, driven largely by the GPU's 95th percentile ranking.

The combined picture is a system where the GPU carries the performance weight. The CPU's median ranking does not bottleneck the GPU in all scenarios, but it may in CPU-intensive tasks. For GPU-accelerated workloads—rendering, deep learning, video encoding—the system performs near the top tier. For CPU-bound workloads—single-threaded applications, light compilation—the system performs at the median. The 73rd combined percentile indicates an above-average system overall, suitable for most professional and enthusiast use cases.

# Build Overview

This is a desktop-class build pairing the Intel Core i9-14901TE (a Raptor Lake-R refresh processor) with the NVIDIA RTX 4000 SFF Ada Generation workstation GPU. The build class is desktop, and the combined percentile is 73. This places the system in the upper quartile of all builds in the database, driven primarily by the GPU's 95th percentile ranking. The CPU's 50th percentile ranking moderates the overall position, but the combination is well-suited for GPU-accelerated workloads.

The RTX 4000 SFF Ada Generation is a dual-slot, 70 W GPU that requires no external power connectors, making it unique in the workstation segment. The CPU's 45 W TDP complements this efficiency, resulting in a system that can be powered by a 250 W PSU. The physical dimensions—GPU at 168 mm length and 69 mm height—allow for compact builds without sacrificing performance. This pairing is best described as a compact workstation with strong GPU compute capabilities and modest CPU throughput.

# FAQ

Q: What is the CPU's core and thread configuration?

A: The Intel Core i9-14901TE has 8 cores and 16 threads, with a base clock of 2.30 GHz and a boost clock of 5.50 GHz.

Q: How much VRAM does the RTX 4000 SFF Ada Generation have?

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

Q: What is the GPU's benchmark performance relative to its nearest rivals?

A: The GPU's average benchmark score is 117088 (Geekbench OpenCL: 124812, Vulkan: 109364). It is 0.3% slower than the NVIDIA GB10 and 1.6% slower than the AMD Radeon PRO W7700, but 2.4% faster than the Tesla V100 SXM2 16 GB and 2.8% faster than the RTX A5500 Mobile.

Q: Does this system support ECC memory?

A: Yes, the Intel Core i9-14901TE supports ECC memory, which is valuable for error-sensitive workloads.

Q: What is the power consumption of the GPU?

A: The GPU has a 70 W TDP and requires no power connectors, drawing power from the PCIe slot. The suggested PSU for the system is 250 W.

Q: What is the GPU's architecture and process node?

A: The GPU uses the Ada Lovelace architecture on TSMC's 5 nm process, with 35,800 million transistors on a 294 mm² die.

Q: What is the combined performance percentile of this build?

A: The combined percentile is 73, placing this system above 73% of builds in the database.

# Upgrade Path and Platform

The Intel Core i9-14901TE uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. The CPU provides PCIe Gen 5 with 16 lanes, allowing for high-bandwidth peripherals. The integrated UHD Graphics 770 offers a fallback display output. The CPU's 45 W TDP means that cooling solutions are not heavily stressed, and the locked multiplier prevents overclocking.

The GPU uses a PCIe 4.0 x16 interface, which is backward compatible with the CPU's PCIe Gen 5 slots. The 70 W TDP and lack of power connectors mean the GPU is limited to 75 W from the PCIe slot, which is sufficient for its specifications. The suggested PSU of 250 W provides headroom for additional drives or peripherals, but upgrades to higher-TDP components would require a more robust PSU.

A sensible next upgrade would be a higher-TDP GPU, but the 250 W PSU and the GPU's slot-powered design constrain this path. For CPU upgrades, the Socket 1700 platform supports newer Raptor Lake Refresh parts, though the 45 W TDP may limit options. The DDR5 memory support allows for future memory speed upgrades if the motherboard supports them. For most users, the current configuration is well-balanced for GPU-accelerated workloads, and upgrades should focus on storage (PCIe Gen 5 NVMe) or memory capacity rather than core components.

Rate My PC: Intel Core i9-14901TE + NVIDIA RTX 4000 SFF Ada Generation

Power Build

System Balance Analysis

Intel Core i9-14901TE

NVIDIA RTX 4000 SFF Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

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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