NVIDIA RTX 4000 Ada Generation
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA RTX 4000 Ada Generation Specifications
RTX 4000 Ada Generation GPU Core
Shader units and compute resources
The NVIDIA RTX 4000 Ada Generation GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
RTX 4000 Ada Generation Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX 4000 Ada Generation's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The RTX 4000 Ada Generation by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX 4000 Ada Generation Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX 4000 Ada Generation's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
RTX 4000 Ada Generation by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX 4000 Ada Generation, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
RTX 4000 Ada Generation Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX 4000 Ada Generation against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
RTX 4000 Ada Generation Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX 4000 Ada Generation includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the RTX 4000 Ada Generation capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ada Lovelace Architecture & Process
Manufacturing and design details
The NVIDIA RTX 4000 Ada Generation is built on NVIDIA's Ada Lovelace architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the RTX 4000 Ada Generation will perform in GPU benchmarks compared to previous generations.
NVIDIA's RTX 4000 Ada Generation Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX 4000 Ada Generation determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the RTX 4000 Ada Generation to maintain boost clocks without throttling.
RTX 4000 Ada Generation by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX 4000 Ada Generation are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA RTX 4000 Ada Generation. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
RTX 4000 Ada Generation Product Information
Release and pricing details
The NVIDIA RTX 4000 Ada Generation is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the RTX 4000 Ada Generation by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
RTX 4000 Ada Generation Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA RTX 4000 Ada Generation handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA RTX 4000 Ada Generation performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL. Modern games and applications increasingly use Vulkan for cross-platform GPU acceleration.
Top 5 Performers
Nearby Performers
About NVIDIA RTX 4000 Ada Generation
Who Should Consider It
The NVIDIA RTX 4000 Ada Generation is a workstation-oriented card that sits in a peculiar performance tier. Its benchmark data places it at the 97th percentile of all GPUs, meaning it outperforms roughly 97% of the graphics cards in the database. The 20 GB VRAM capacity and 360.0 GB/s memory bandwidth point toward high-resolution workloads, but the actual compute scores tell a more nuanced story about where this card fits.
For users working at 1440p and 4K resolutions in professional applications, the data suggests this card is a solid choice. The Geekbench OpenCL score of 146,593 and Vulkan score of 123,842 indicate strong raw compute throughput that can handle demanding rendering tasks. The 26.73 TFLOPS FP32 performance is substantial for simulation, rendering, and compute-heavy workloads. However, users who primarily game at 1080p may find this card overkill, as the workstation-oriented feature set and driver optimizations are not necessarily aligned with mainstream gaming scenarios.
The 5 nm process node and 35,800 million transistors on a 294 mm² die suggest efficiency gains over older architectures. This matters for users who run long-duration compute jobs where power draw and thermal management are concerns. The 130 W TDP is remarkably low for the performance tier this card occupies, making it suitable for compact workstation builds or multi-GPU configurations where power budgets are tight. Users with single-slot constraints will find the physical design accommodating, as the card occupies only one slot width.
For professionals in architecture, engineering, construction, and media production, the 20 GB VRAM is the headline feature. This capacity allows loading large models, textures, and datasets without hitting memory ceilings. The 160-bit bus width, while narrower than some competitors, is paired with GDDR6 memory running at 18 Gbps effective to deliver 360.0 GB/s bandwidth. This configuration suggests the card is optimized for capacity over raw bandwidth, favoring workloads that need large working sets rather than those that stream data at extreme velocities.
Ray Tracing and Feature Set
The RTX 4000 Ada Generation packs 48 RT cores and 192 tensor cores, indicating serious hardware-accelerated ray tracing and AI inference capabilities. The Ada Lovelace architecture brings third-generation RT cores and fourth-generation tensor cores, which the benchmark data indirectly supports through strong OpenCL and Vulkan scores. The 1:1 FP16 to FP32 ratio of 26.73 TFLOPS means half-precision workloads run at the same rate as full-precision, which is beneficial for AI training and inference tasks that leverage tensor core acceleration.
API support covers modern graphics standards comprehensively. DirectX 12 Ultimate (12_2) enables hardware ray tracing, variable rate shading, and mesh shaders in supported titles. Vulkan 1.4 support ensures broad compatibility across platforms and applications. OpenGL 4.6 remains relevant for legacy professional software that has not migrated to newer APIs. The display outputs include four DisplayPort 1.4a connectors, supporting multi-monitor workstation setups without requiring display stream compression at standard resolutions.
The tensor cores are particularly relevant for AI-accelerated features in professional applications. Denoising in ray-traced renders, AI upscaling, and machine learning inference all benefit from the 192 tensor cores. The data shows the card performs well in compute benchmarks, which reflects the synergy between tensor cores and standard shader units. For users running neural network training or inference locally, the 20 GB VRAM combined with tensor core acceleration creates a compelling package.
Benchmark Performance
The average benchmark score of 135,218 places this card in a tight cluster with its nearest rivals. The Geekbench OpenCL score of 146,593 is notably higher than the Vulkan score of 123,842, suggesting the card's compute performance is better optimized for OpenCL workloads. This gap of approximately 18% between the two API scores indicates that application developers using Vulkan may not extract the full compute potential of the hardware.
Against the NVIDIA A10M, which shares an identical average score of 135,230, the RTX 4000 Ada Generation shows a 0% deltaPct. This means the two cards perform statistically identically in aggregate benchmarks. The RTX 4000 Ada Generation is 0.6% ahead of the AMD Radeon RX 9070 GRE, which scores 134,417. This margin is within noise tolerance and suggests the two cards are effectively tied. The RTX 4000 Ada Generation leads the AMD Radeon PRO W6800 by 1.2%, with the latter scoring 133,588. Again, this is a minimal performance gap.
The most substantial lead is against the NVIDIA GeForce RTX 3090 Ti, which the RTX 4000 Ada Generation beats by 2.5%. The RTX 3090 Ti scores 131,911. This is notable because the RTX 3090 Ti is a flagship-class card from the previous generation, and the RTX 4000 Ada Generation achieves this lead while consuming far less power. The 2.5% advantage is modest but consistent across the benchmark suite.
In interpreting these deltas, the data shows that the RTX 4000 Ada Generation does not dominate its rivals by large margins. Instead, it sits in a competitive performance band where the differences between cards are measured in single-digit percentages. Users should not expect transformative performance gains over these rivals, but rather incremental improvements that may matter in specific workloads.
FAQ
Q: What is the memory capacity and type of the RTX 4000 Ada Generation?
A: The card features 20 GB of GDDR6 memory on a 160-bit bus, delivering 360.0 GB/s of bandwidth.
Q: How does this card compare to the NVIDIA A10M?
A: The two cards have nearly identical average benchmark scores at 135,218 and 135,230 respectively, showing a 0% deltaPct.
Q: What power supply is recommended for this GPU?
A: NVIDIA suggests a 300 W power supply, and the card requires a single 16-pin power connector.
Q: Does this card support ray tracing?
A: Yes, it includes 48 RT cores dedicated to hardware-accelerated ray tracing.
Q: What APIs are supported?
A: The card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.
Q: How much faster is this card than the GeForce RTX 3090 Ti?
A: The RTX 4000 Ada Generation scores 2.5% higher on average than the RTX 3090 Ti.
How It Compares
NVIDIA A10M: The A10M matches the RTX 4000 Ada Generation almost exactly, with a 0% deltaPct and an average score of 135,230 versus 135,218. These cards are functionally interchangeable in aggregate performance, though they may differ in specific workload characteristics. The RTX 4000 Ada Generation offers 20 GB VRAM, which is identical to the A10M, but the newer architecture may provide better feature support.
AMD Radeon RX 9070 GRE: The RTX 4000 Ada Generation edges ahead by 0.6%, with the AMD card scoring 134,417. This negligible difference means users should base their choice on other factors like driver support, software ecosystem, and feature set rather than raw performance. The RX 9070 GRE is a strong competitor in this segment.
AMD Radeon PRO W6800: The lead expands slightly to 1.2% against the PRO W6800, which scores 133,588. This is still a narrow margin, but the RTX 4000 Ada Generation's 20 GB VRAM capacity gives it an advantage in memory-intensive workloads. The PRO W6800 may offer better value in specific AMD-optimized applications.
NVIDIA GeForce RTX 3090 Ti: The RTX 4000 Ada Generation outperforms the RTX 3090 Ti by 2.5%, with the latter scoring 131,911. This is the largest performance gap among the nearest rivals. The RTX 3090 Ti is a power-hungry card from the previous generation, and the RTX 4000 Ada Generation achieves this lead while consuming significantly less power at 130 W TDP.
Memory Subsystem
The memory configuration is one of the defining characteristics of this card. The 20 GB GDDR6 capacity is substantial for professional workloads, allowing large datasets, complex 3D scenes, and extensive texture libraries to reside entirely in VRAM. The 160-bit bus width is narrower than what some competitors offer, but the memory runs at 2250 MHz with 18 Gbps effective speed, resulting in 360.0 GB/s of bandwidth.
This bandwidth figure is moderate by modern standards. For context, the card's aggregate performance is competitive with rivals that may have wider memory buses, suggesting that the capacity and bandwidth balance works well for the intended workloads. High-resolution rendering and large model loading benefit more from capacity than raw bandwidth, and 20 GB provides ample headroom for 4K textures and complex geometry.
The pixel rate of 139.2 GPixel/s and texture rate of 417.6 GTexel/s indicate that the memory subsystem can feed the 64 ROPs and 192 TMUs effectively. Users working at 4K and above will appreciate the capacity, while those pushing extreme frame rates at lower resolutions may find the bandwidth limiting in certain scenarios. The memory configuration clearly prioritizes professional capacity needs over gaming bandwidth demands.
Power and Cooling
The RTX 4000 Ada Generation has a TDP of 130 W, which is remarkably efficient for the performance tier it occupies. This low power draw is a direct benefit of the 5 nm TSMC process node and Ada Lovelace architecture. The suggested power supply is 300 W, which is modest and compatible with most workstation power supplies. The card requires a single 16-pin power connector, simplifying installation.
The single-slot cooling design is a defining physical characteristic. At 245 mm (9.6 inches) in length and 112 mm (4.4 inches) in height, the card fits in most workstation chassis. The single-slot form factor is particularly valuable for dense multi-GPU configurations where space is at a premium. The low 130 W TDP means thermal management is less demanding than with higher-powered cards, and the single-slot cooler should handle the heat output adequately in well-ventilated cases.
The PCIe 4.0 x16 interface provides sufficient bandwidth for the card's data transfer needs. The combination of low power draw, single-slot design, and modest PSU requirements makes this card unusually flexible for system integration. Users upgrading from older workstation cards will find the power and cooling requirements refreshingly modest, potentially allowing reuse of existing power supplies and chassis. The 4x DisplayPort 1.4a outputs support multi-monitor setups without requiring additional display adapters.
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