NVIDIA RTX 4000 SFF Ada Generation
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA RTX 4000 SFF Ada Generation Specifications
RTX 4000 SFF Ada Generation GPU Core
Shader units and compute resources
The NVIDIA RTX 4000 SFF 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 SFF Ada Generation Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX 4000 SFF 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 SFF Ada Generation by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX 4000 SFF Ada Generation Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX 4000 SFF 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 SFF Ada Generation by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX 4000 SFF 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 SFF Ada Generation Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX 4000 SFF 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 SFF Ada Generation Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX 4000 SFF 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 SFF 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 SFF 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 SFF Ada Generation will perform in GPU benchmarks compared to previous generations.
NVIDIA's RTX 4000 SFF Ada Generation Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX 4000 SFF 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 SFF Ada Generation to maintain boost clocks without throttling.
RTX 4000 SFF Ada Generation by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX 4000 SFF 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 SFF 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 SFF Ada Generation Product Information
Release and pricing details
The NVIDIA RTX 4000 SFF 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 SFF 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 SFF Ada Generation Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA RTX 4000 SFF 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 SFF 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 SFF Ada Generation
The NVIDIA RTX 4000 SFF Ada Generation is a dual-slot, 70 W workstation graphics card built on the 5 nm Ada Lovelace architecture, featuring the AD104 chip with 35,800 million transistors on a 294 mm² die. It targets compact workstation builds, offering 20 GB of GDDR6 memory on a 160-bit bus, and its benchmark scores place it in the 96th percentile of all GPUs, with an average benchmark score of 117,088.
Memory Subsystem
The RTX 4000 SFF Ada Generation is equipped with 20 GB of GDDR6 memory, a capacity that stands out in the small-form-factor workstation segment. This memory operates across a 160-bit bus interface, delivering a total bandwidth of 280.0 GB/s. The effective memory speed is 14 Gbps, which is a modest figure relative to the card's compute capabilities, but the large frame buffer is the defining characteristic here.
For high-resolution workloads, the 20 GB capacity is the primary asset. At 4K and beyond, datasets and textures for rendering, simulation, and AI inference can easily exceed 8 GB or 16 GB, and this card's 20 GB allocation prevents out-of-memory errors that would otherwise stall production work. The 280.0 GB/s bandwidth, while not class-leading, is sufficient to feed the 19.17 TFLOPS of FP32 compute and the 299.5 GTexel/s texture rate without creating a systemic bottleneck in most professional applications. The pixel rate stands at 99.84 GPixel/s, which, combined with the 64 ROPs, supports high-resolution display output through the four mini-DisplayPort 1.4a connectors. However, for memory-intensive tasks that rely heavily on raw bandwidth—such as certain types of real-time ray tracing with large acceleration structures—the 160-bit bus may show limitations compared to wider-memory rivals, though the capacity mitigates this in practice.
Who Should Consider It
The data indicates that the RTX 4000 SFF Ada Generation is engineered for professionals who require substantial memory capacity in a physically constrained chassis. Given its 70 W TDP and dual-slot design with a 168 mm length and 69 mm height, it fits into compact workstations where larger cards cannot be accommodated. The card's performance profile, with an average benchmark score of 117,088, suggests it is well-suited for 1440p and 4K workloads in rendering, video editing, and scientific computing, where the 20 GB frame buffer is more critical than raw pixel throughput.
Users running AI inference or training models with moderate batch sizes will benefit from the 20 GB capacity and the 192 tensor cores, which accelerate FP16 operations at a 1:1 ratio with FP32 (19.17 TFLOPS). The card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it compatible with modern graphics APIs. For professionals who work with large point clouds, complex CAD assemblies, or multi-layer compositing in video post-production, the memory capacity and 96th percentile ranking ensure smooth interaction. Conversely, gamers or users focused on high-refresh-rate 1080p gaming would find the 280.0 GB/s bandwidth and 1560 MHz boost clock limiting, but that is not the target audience for this workstation part. The absence of power connectors and a suggested 250 W PSU further reinforce its role in low-power, dense computing environments.
How It Compares
AMD Radeon Pro Vega II Duo: The RTX 4000 SFF Ada Generation leads the Radeon Pro Vega II Duo by a margin of 1.9% in average benchmark score (117,088 vs. 114,878). This is a narrow victory, indicating that the NVIDIA card achieves a similar level of compute performance while using significantly less power (70 W vs. the dual-GPU Vega II Duo's substantially higher draw, though that figure is not in the pack). The RTX 4000's advantage lies in its modern architecture and larger 20 GB memory pool, which may offer better scaling in memory-bound tasks despite the close overall score.
NVIDIA RTX A5500 Mobile: The desktop SFF card outperforms the RTX A5500 Mobile by 2.8% (117,088 vs. 113,944). This delta is modest, but it highlights that the SFF Ada Generation delivers competitive performance in a desktop form factor versus a high-end mobile part. The A5500 Mobile may have a different thermal envelope, but the RTX 4000 SFF's 70 W TDP and dual-slot cooling make it a viable alternative for small workstations that would otherwise rely on laptop-grade hardware.
AMD Radeon PRO W7700: The Radeon PRO W7700 is the faster card, beating the RTX 4000 SFF by 5.1% (123,434 vs. 117,088). This is the most significant performance gap among the nearest rivals, indicating that the W7700 offers a clear compute advantage in raw benchmark terms. However, the RTX 4000 SFF counters with 20 GB of memory versus the W7700's unspecified capacity, and the NVIDIA card's 70 W power draw is notably low. The choice between these two hinges on whether the 5.1% performance lead or the memory capacity and power efficiency are more important for the specific workload.
AMD Radeon Pro Vega II: The RTX 4000 SFF Ada Generation is 6.5% faster than the Radeon Pro Vega II (117,088 vs. 109,967). This is a comfortable lead, showing that the Ada Lovelace architecture provides a meaningful generational improvement over the older Vega II. The RTX 4000 also offers superior features like ray tracing cores and tensor cores, which are absent or less capable in the Vega II, though the benchmark score alone does not capture those specialized capabilities.
FAQ
Q: What is the average benchmark score for the RTX 4000 SFF Ada Generation?
A: The average benchmark score is 117,088, based on Geekbench OpenCL (124,812) and Vulkan (109,364) tests. This places the card in the 96th percentile of all GPUs.
Q: How much memory does the card have, and what type is it?
A: It has 20 GB of GDDR6 memory on a 160-bit bus, providing 280.0 GB/s of bandwidth and operating at 14 Gbps effective speed.
Q: What is the power consumption and physical size?
A: The card has a 70 W TDP with no power connectors, a suggested 250 W PSU, and a dual-slot design measuring 168 mm in length and 69 mm in height.
Q: What display outputs are available?
A: It features four mini-DisplayPort 1.4a connectors, supporting high-resolution multi-monitor setups.
Q: How does it compare to the AMD Radeon PRO W7700?
A: The Radeon PRO W7700 is 5.1% faster in average benchmark score (123,434 vs. 117,088). The RTX 4000 SFF offers a larger 20 GB memory pool and lower 70 W power draw.
Q: Does the card support modern graphics APIs?
A: Yes, it supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, along with 48 ray tracing cores and 192 tensor cores.
Benchmark Performance
The RTX 4000 SFF Ada Generation's benchmark results show a balanced performance profile, with a Geekbench OpenCL score of 124,812 and a Vulkan score of 109,364. The OpenCL score is higher, suggesting that compute-heavy workloads that leverage this API will see better throughput, while Vulkan performance is comparatively lower but still robust. The average of these two scores is 117,088, which positions the card in the 96th percentile of all GPUs—a strong showing that indicates it outperforms the vast majority of graphics cards on the market.
Against its nearest rivals, the card's performance is tightly clustered. It leads the AMD Radeon Pro Vega II Duo by 1.9%, a marginal difference that falls within typical run-to-run variance for synthetic benchmarks. This suggests that for raw compute, the two cards are effectively equivalent, but the RTX 4000 SFF's 20 GB memory and modern feature set (ray tracing, tensor cores) provide qualitative advantages that the benchmark does not fully capture. Similarly, the 2.8% lead over the NVIDIA RTX A5500 Mobile is small, but it reinforces that the desktop SFF card can match or exceed a top-tier mobile GPU while operating in a more constrained power envelope.
The more substantial deltas come from the AMD rivals. The Radeon PRO W7700 is 5.1% faster, which is a measurable gap that would translate to visible differences in render times or compute tasks. This is the only rival in the list that the RTX 4000 SFF cannot beat outright, and users who prioritize peak benchmark performance over memory capacity or power efficiency would favor the W7700. Conversely, the RTX 4000 SFF is 6.5% ahead of the AMD Radeon Pro Vega II, a clear generational win that demonstrates the efficiency of the Ada Lovelace architecture on the 5 nm process. The 70 W TDP is a critical differentiator, as it allows this performance to be delivered in a dual-slot, compact form factor without external power connectors, which none of the rivals in this comparison offer at this performance level. The data shows a card that is not the fastest in its immediate peer group, but one that wins on the combination of memory capacity, power efficiency, and physical footprint.
The AMD Equivalent of RTX 4000 SFF Ada Generation
Looking for a similar graphics card from AMD? The AMD Radeon RX 7600 offers comparable performance and features in the AMD lineup.
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