NVIDIA TITAN V
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA TITAN V Specifications
GPU Core
Shader units and compute resources
The NVIDIA TITAN V 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.
TITAN V Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the TITAN V'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 TITAN V by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's TITAN V Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The TITAN V'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.
TITAN V by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the TITAN V, 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.
TITAN V Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA TITAN V 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.
TITAN V Ray Tracing & AI
Hardware acceleration features
The NVIDIA TITAN V 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 TITAN V capable of delivering both stunning graphics and smooth frame rates in modern titles.
Volta Architecture & Process
Manufacturing and design details
The NVIDIA TITAN V is built on NVIDIA's Volta 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 TITAN V will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA TITAN V 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 TITAN V to maintain boost clocks without throttling.
TITAN V by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA TITAN V 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 TITAN V. 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.
TITAN V Product Information
Release and pricing details
The NVIDIA TITAN V 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 TITAN V by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA TITAN V
The NVIDIA TITAN V occupies a peculiar position in the hardware landscape, a product that was once a flagship but now sits in a statistical grey zone. The aggregate data shows an average benchmark score of 34,355, which places it at the 78th percentile of all GPUs. This is a strong showing, but not a dominant one. The most striking finding in the comparative data is that the TITAN V’s average score is nearly identical to several much older and less expensive AMD cards. Specifically, it trails the AMD Radeon RX 560 XT by a razor-thin 0.2%, and is 0.5% behind both the AMD Radeon PRO W6400 and the AMD Radeon HD 7970. Conversely, it is 0.9% ahead of the AMD Radeon RX 480. These deltas are within the margin of error for most testing, suggesting that in aggregate synthetic workloads, the TITAN V is performing on par with a diverse set of rivals from different eras. This is a surprising result for a card with a 12 nm Volta architecture, and it begs the question of whether raw average scores capture the card’s true character.
Benchmark Performance
The TITAN V’s performance profile is not monolithic. In the 3DMark Steel Nomad DX12 test, it scores 3,565 points. This is a modern, demanding workload, and the score reflects a card that is competent but not class-leading in contemporary DirectX 12 titles. The Geekbench results are more revealing: the OpenCL score of 157,265 is slightly higher than the Vulkan score of 152,117, indicating a marginal advantage in compute-heavy OpenCL applications. The PassMark suite provides a more granular view. The GPU Compute score of 9,263 is robust, aligning with the card’s theoretical FP32 throughput of 14.90 TFLOPS. However, the DirectX 12 score of just 81 is strikingly low, especially when compared to the DirectX 11 score of 152 and the DirectX 9 score of 213. This pattern suggests that the architecture’s strength lies in older API paths and raw compute, rather than in the optimized, multi-threaded draw calls of modern DX12 titles. The G3D score of 19,805 is solid, but the G2D score of 937 is unremarkable.
When interpreting these scores against the nearest rivals, the story becomes one of statistical parity rather than dominance. The 0.2% deficit against the RX 560 XT is a statistical tie. The data shows that in these aggregate tests, the TITAN V is not the clear victor one might expect from a 2017 flagship. The 0.9% lead over the RX 480 is equally negligible. The benchmark results indicate that the card’s massive memory bandwidth and compute resources do not translate into a decisive win in these specific synthetic workloads. The implications are clear: the TITAN V is a card that excels in specific compute tasks, but its gaming performance, as measured by these aggregate suites, has been surpassed or matched by far more accessible hardware. The data does not support a narrative of overwhelming performance; it supports a narrative of specialized capability that is often underutilized in general benchmark tests.
Ray Tracing and Feature Set
The TITAN V is a Volta-generation product, and its feature set reflects that era. Critically, the data lists no dedicated ray tracing cores. This is a significant omission. The card relies entirely on its standard shader units and tensor cores for any ray tracing work, which is not a dedicated hardware path. The tensor cores, of which there are 640, are present and accounted for. These are designed for matrix math, which is beneficial for AI and deep learning inference, but they do not accelerate the bounding volume hierarchy traversal required for real-time ray tracing in the same way dedicated RT cores do. The API support is modern, with DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4 all listed. This means the card can technically run ray tracing workloads via DirectX 12 Ultimate’s DXR or Vulkan’s ray tracing extensions, but the performance would be entirely dependent on the shader units and tensor cores handling the brunt of the work, a process that is likely to be slow compared to dedicated hardware.
The absence of RT cores is a defining characteristic. For a card that once held a premium position, the lack of dedicated ray tracing hardware is a major functional gap. The data implies that any ray tracing capability is a software-level compromise. The presence of tensor cores does offer a path for DLSS-like upscaling, though the specific implementation is not detailed in the facts. The feature set is also defined by its display outputs: 1x HDMI 2.0 and 3x DisplayPort 1.4a. This allows for multi-monitor setups and high refresh rates at 1440p or 4K, given the DisplayPort 1.4a supports the necessary bandwidth. The card supports PCIe 3.0 x16, which is a standard interface. The data suggests a card that is feature-complete for its era but is missing the key modern gaming acceleration feature: ray tracing.
Who Should Consider It
The benchmark data suggests a very specific user profile. For gamers targeting 4K resolution, the TITAN V’s 651.3 GB/s of memory bandwidth and 12 GB of HBM2 memory are substantial assets. The high bandwidth allows for large textures and high-resolution assets to be streamed efficiently. However, the low DirectX 12 score of 81 is a red flag for modern game engines that heavily rely on this API. The data implies that the card will perform better in older DirectX 11 titles or Vulkan-based games, where the 152 and 152,117 scores respectively indicate stronger relative performance. For a user playing a mix of older AAA titles and esports games at 1440p, the card is more than capable, offering a smooth experience. The 14.90 TFLOPS of FP32 compute is ample for pixel shading.
The card is a poor recommendation for users who play the latest DirectX 12 titles, as the data shows a severe performance deficit in that specific API. The 78th percentile ranking indicates that most modern GPUs perform better in general aggregate terms. The card is also end-of-life, which means driver optimizations for new games are likely minimal. Therefore, the ideal user is one who prioritizes compute performance for tasks like machine learning or scientific simulations, where the tensor cores and FP16 performance of 29.80 TFLOPS (2:1) are highly relevant. For gaming, it is a niche product for a user with a library of older titles or who plays Vulkan-based games. The data does not support it as a primary choice for a new high-end gaming build. It is a card for a specific workload, not a general gaming champion.
FAQ
Q: How does the TITAN V perform in DirectX 12 gaming workloads?
A: The PassMark DirectX 12 score is 81, which is significantly lower than its DirectX 11 score of 152. This indicates a substantial performance regression in modern DirectX 12 titles, making it a weak choice for those games.
Q: Does the card support hardware-accelerated ray tracing?
A: No. The data lists no dedicated ray tracing cores. The card has 640 tensor cores, but these are not designed for ray tracing acceleration, so any ray tracing workload is handled by general-purpose shaders.
Q: What is the aggregate performance position of the TITAN V?
A: The average benchmark score is 34,355, placing it at the 78th percentile of all GPUs. This means it performs better than 78% of GPUs in the database, but it is not a top-tier performer.
Q: Is the TITAN V better than the AMD Radeon RX 480?
A: The data shows the TITAN V has an average score that is 0.9% higher than the RX 480. This is a very small margin, indicating near-identical aggregate performance.
Q: What memory configuration does the TITAN V use?
A: It uses 12 GB of HBM2 memory on a 3072-bit bus, providing a bandwidth of 651.3 GB/s. This is a high-bandwidth configuration suited for large data sets.
Q: What is the card’s production status?
A: The production status is listed as "End-of-life," meaning NVIDIA has stopped manufacturing this GPU. The release date was December 2017, and it is a predecessor to the GeForce 20 series.
Power and Cooling
The TITAN V is a power-hungry component. The thermal design power (TDP) is rated at 250 W, which is substantial. To feed this, the card requires a 1x 6-pin and 1x 8-pin power connector configuration. The data suggests a recommended system power supply of 600 W. This is a firm requirement; users with smaller power supplies will need to upgrade. The card is a dual-slot design, which is standard for high-end GPUs of its era. The physical dimensions are 267 mm in length (10.5 inches), 112 mm in height (4.4 inches), and 40 mm in width (1.6 inches). This is a long card, and users must ensure their case has adequate clearance. The cooling solution is a dual-slot air cooler, which is designed to dissipate the 250 W of heat generated. The data does not specify noise levels or cooling performance under load, but the physical design suggests a robust, if potentially loud, cooling solution. The power requirements are not trivial, and the data makes it clear that a high-quality 600 W PSU is the minimum for a stable system.
Memory Subsystem
The memory subsystem is one of the TITAN V’s most defining features. It is equipped with 12 GB of HBM2 memory, which is a high-bandwidth, low-latency memory type. The bus width is a massive 3072 bits, which is exceptionally wide. This combination yields a memory bandwidth of 651.3 GB/s. This is a significant figure. For context, this bandwidth is the key to the card’s compute performance, allowing the 5,120 shading units to be fed with data at a very high rate. The implications for high-resolution gaming are clear: the card can handle large texture maps and complex scenes at 4K without stuttering due to memory bottlenecks. The 12 GB capacity is also ample for modern games at high settings. However, the high bandwidth is not fully utilized in gaming due to the API inefficiencies mentioned earlier. In compute workloads, such as deep learning training or scientific simulations, this bandwidth is a critical asset. The memory clock is 848 MHz, which translates to 1696 Mbps effective. The data shows that the memory subsystem is a high-end component that is well-matched to the GPU’s compute capabilities, but it cannot overcome the card’s weaknesses in DirectX 12 gaming. The 3072-bit bus and HBM2 technology are superior to the GDDR5 or GDDR6 found on the rival cards listed, yet the aggregate scores do not reflect this advantage, suggesting that the bottleneck lies elsewhere in the architecture for gaming tasks.
How It Compares
AMD Radeon RX 560 XT: The TITAN V is statistically tied with this rival, being 0.2% slower in average benchmark score. This is a shocking result, as the RX 560 XT is a mainstream card with far less memory bandwidth and compute power. The data implies that the TITAN V’s high-end specifications do not translate into real-world performance gains in these aggregate tests, likely due to poor driver optimization for modern workloads.
AMD Radeon PRO W6400: The TITAN V is 0.5% slower than this workstation-oriented card. The W6400 is a low-profile, low-power card, yet it matches the TITAN V’s average score. This suggests that the TITAN V is not efficient in general-purpose benchmark tasks, and its expensive HBM2 memory and tensor cores are not being leveraged effectively in these tests.
AMD Radeon HD 7970: The TITAN V is 0.5% slower than this card from 2012. The HD 7970 is a relic of a bygone era, but its average score is higher. This is a damning comparison, indicating that the TITAN V’s architectural advantages in compute are irrelevant to the aggregate benchmark score, which likely weights gaming and general graphics tasks heavily.
AMD Radeon RX 480: The TITAN V is 0.9% faster than this rival. While this is a lead, it is a negligible one. The RX 480 is a mid-range card from 2016, and the TITAN V barely edges it out. This comparison reinforces the narrative that the TITAN V’s performance is not commensurate with its flagship status, and it has been effectively outclassed by subsequent generations of hardware in terms of efficiency and gaming performance.
Detailed benchmark scores and charts for the NVIDIA TITAN V are below.
Benchmark Scores
3dmark_3dmark_steel_nomad_dx12Source
3DMark Steel Nomad is the latest GPU benchmark running at native 4K with DirectX 12. It's roughly 3x more demanding than Time Spy, testing NVIDIA TITAN V with cutting-edge rendering techniques.
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA TITAN V handles parallel computing tasks like video encoding and scientific simulations.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA TITAN V performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
passmark_directx_10Source
DirectX 10 tests NVIDIA TITAN V with the graphics API introduced with Windows Vista. This shows performance in games from the 2007-2009 era that targeted this feature level. DX10 introduced geometry shaders and other features still used today. Some games from this period remain popular and benefit from good DX10 performance.
passmark_directx_11Source
DirectX 11 tests NVIDIA TITAN V with the widely-used graphics API powering most current games. This shows mainstream gaming performance across the majority of today's titles.
passmark_directx_12Source
DirectX 12 tests NVIDIA TITAN V with the modern low-overhead graphics API. This shows performance in next-gen games that leverage DX12 features like ray tracing and mesh shaders. DX12 offers better CPU efficiency through reduced driver overhead.
passmark_directx_9Source
DirectX 9 tests NVIDIA TITAN V performance with the legacy graphics API still used by older games. This shows compatibility and performance with classic titles from the 2000s era. Many indie games and older titles still rely on DirectX 9.
passmark_g2dSource
PassMark G2D tests 2D graphics performance for desktop rendering, UI elements, and productivity applications. This shows how NVIDIA TITAN V handles everyday visual tasks. Higher scores mean smoother desktop experience and faster UI rendering.
passmark_g3dSource
PassMark G3D measures overall 3D graphics performance of NVIDIA TITAN V across DirectX 9 through 12 tests. This provides a comprehensive gaming capability score. The combined result predicts performance across various game engines and API versions. Results can be compared against millions of GPU submissions in the PassMark database.
passmark_gpu_computeSource
GPU compute tests parallel processing capability of NVIDIA TITAN V using OpenCL. This shows performance in video encoding, scientific computing, and AI workloads. Non-gaming applications increasingly leverage GPU compute for acceleration.
Popular NVIDIA TITAN V Comparisons
See how the TITAN V stacks up against similar graphics cards from the same generation and competing brands.
Compare with Other GPUs
Select another GPU to compare specifications and benchmarks side-by-side.
Browse GPUs