NVIDIA T400
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA T400 Specifications
GPU Core
Shader units and compute resources
The NVIDIA T400 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.
T400 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the T400'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 T400 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's T400 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The T400'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.
T400 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the T400, 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.
T400 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA T400 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.
Turing Architecture & Process
Manufacturing and design details
The NVIDIA T400 is built on NVIDIA's Turing 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 T400 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA T400 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 T400 to maintain boost clocks without throttling.
T400 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA T400 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 T400. 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.
T400 Product Information
Release and pricing details
The NVIDIA T400 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 T400 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA T400
The NVIDIA T400 is an entry-level workstation GPU built on the Turing architecture and manufactured on TSMC's 12 nm process. It packs 384 shading units, 24 texture mapping units, and 16 ROPs, with a base clock of 420 MHz and a boost clock of 1425 MHz, yielding 1,094.4 GFLOPS of FP32 performance. In the benchmark database, it holds a 59th percentile ranking among all GPUs, with an average score of 16,486 across OpenCL and Vulkan tests. This places it in the lower-mid range, marginally ahead of several competing integrated and mobile GPUs, but far from high-end workstation parts.
Benchmark Performance
The T400's benchmark results show a narrow but consistent advantage over its nearest rivals. In Geekbench OpenCL, it scores 17,040, while in Vulkan it scores 15,932, producing an average of 16,486. This average is 0.5% higher than the AMD Radeon 680M (16,407), 0.6% higher than the AMD Radeon PRO W7500 (16,388), and 0.8% higher than both the AMD Radeon Pro 5700 and AMD Radeon Pro 5600M (each at 16,351). These deltas are small—under one percentage point—indicating that the T400 is effectively performance-equivalent to those four cards in synthetic workloads. The percentile rank of 59 means the card outperforms 59% of all GPUs in the database, which is a modest position; it is not a strong performer for compute-heavy tasks, but it is not at the very bottom either.
The FP32 throughput of 1,094.4 GFLOPS and FP16 throughput of 2.189 TFLOPS (at a 2:1 ratio) further contextualize its compute capability. These figures are typical of a low-power, entry-level part, and they align with the benchmark deltas—the card is competitive with integrated graphics and older professional mobile GPUs, but it will not challenge modern discrete workstation cards. The pixel rate of 22.80 GPixel/s and texture rate of 34.20 GTexel/s are similarly modest, reflecting the 384 shading units and 24 TMUs. For tasks that rely heavily on raw shader throughput or fill rates, the T400 will lag far behind higher-tier products.
Ray Tracing and Feature Set
The T400 does not include dedicated ray tracing cores or tensor cores—both fields are null in the specifications. This means the card has no hardware acceleration for real-time ray tracing or AI-based features such as DLSS. Despite being based on the Turing architecture, which introduced RT and tensor cores in higher-end GeForce and Quadro parts, the T400 omits these units entirely. Consequently, any ray-traced workload must be handled by the standard shading units, which is inefficient and impractical for real-time use.
On the API front, the T400 supports DirectX 12 (feature level 12_1), OpenGL 4.6, and Vulkan 1.4. This ensures compatibility with modern graphics APIs and allows the card to run contemporary applications that require these interfaces. The lack of RT and tensor cores, however, means that features like hardware-accelerated ray tracing, variable rate shading, or AI denoising are unavailable. For professional use cases such as CAD, 3D modeling, or video editing, the absence of these specialized units is not a major drawback, as those workloads typically rely on standard compute and rasterization. But for any ray-traced visualization or machine learning inference, the T400 is not a suitable choice.
Memory Subsystem
The T400 is equipped with 2 GB of GDDR6 memory on a 64-bit bus, providing a memory bandwidth of 80.00 GB/s. The memory clock runs at 1250 MHz, which translates to 10 Gbps effective. This configuration is extremely limited by modern standards—2 GB is insufficient for large textures, complex 3D scenes, or high-resolution displays. The 64-bit bus and 80 GB/s bandwidth further constrain the card's ability to move data quickly, which will become a bottleneck in memory-intensive applications.
For high-resolution work, such as 4K video editing or rendering with large assets, the T400 will quickly run out of VRAM, causing performance to plummet or forcing the system to rely on slower system memory. Even at 1080p, the memory capacity is marginal for modern games or professional software with heavy texture packs. The 80 GB/s bandwidth is also low compared to even entry-level gaming GPUs, which typically offer 128 GB/s or more. In practice, the memory subsystem limits the T400 to light 2D workloads, basic 3D CAD, or legacy applications that do not demand large framebuffers. It is not designed for high-resolution gaming or content creation.
Who Should Consider It
Given its benchmark scores and memory constraints, the T400 is best suited for users who need a basic, low-power display adapter for office productivity, 2D CAD drafting, or legacy software that requires a professional driver certification. The 59th percentile rank and the narrow deltas against rivals like the AMD Radeon 680M suggest that it performs on par with modern integrated graphics, meaning it offers no significant advantage over a good iGPU for most tasks. However, its 30 W TDP and single-slot design make it an easy drop-in for small form factor workstations or systems with limited power budgets.
At 1080p with modest settings, the T400 can handle older games or lightweight 3D applications, but the 2 GB VRAM will be a hard limit. For professional workloads, it is suitable for simple 2D/3D modeling, spreadsheets, and web browsing, but not for simulation, rendering, or any GPU-accelerated compute beyond basic OpenCL. Users who require ray tracing, AI features, or high-resolution texture work should look elsewhere. The card is also end-of-life, so new purchases are unlikely; it remains relevant only for legacy systems or as a replacement for even older Quadro cards.
How It Compares
AMD Radeon 680M: The T400 is 0.5% ahead of this integrated GPU in average benchmark score. The 680M is typically found in high-end APUs, and the T400's margin is negligible—real-world performance will be nearly identical. The T400 does offer dedicated GDDR6 memory, but the 680M benefits from shared system memory with much higher bandwidth potential in dual-channel configurations.
AMD Radeon PRO W7500: The T400 leads by 0.6% over this workstation card. The PRO W7500 is a more modern part, but its average score is only slightly lower. The T400's advantage is within the margin of error, so users should base their choice on other factors like driver support, memory size, and feature set. The PRO W7500 likely offers more VRAM and newer features, making it a better long-term investment.
AMD Radeon Pro 5700: The T400 is 0.8% ahead of this older professional GPU. The Pro 5700 is a mobile part, and the T400's higher score is marginal. Both cards have similar limitations in memory capacity, but the T400's Turing architecture may provide better API support (e.g., Vulkan 1.4) compared to the older GCN-based Pro 5700.
AMD Radeon Pro 5600M: Again, the T400 is 0.8% ahead of this mobile GPU. The 5600M is also a professional mobile part, and the performance gap is trivial. In practice, the T400's desktop form factor and low power draw give it an edge in stationary workstations, while the 5600M is designed for laptops.
Power and Cooling
The T400 has a TDP of just 30 W, which is exceptionally low for a discrete GPU. It requires no external power connectors—the card draws all power from the PCIe slot. The suggested power supply is 200 W, making it compatible with almost any desktop system, including small form factor builds. The card is single-slot, further simplifying installation. This combination of low power consumption and minimal cooling requirements means the T400 can be passively cooled or use a very small fan, though the specifications do not detail the cooler type. For system integrators, the T400 offers an easy way to add a professional-grade GPU without upgrading the PSU or altering the chassis layout.
FAQ
Q: Does the NVIDIA T400 support hardware ray tracing?
A: No. The T400 has no dedicated ray tracing cores; the RT core count is null. Ray-traced workloads must run on the standard shading units, which is inefficient.
Q: How much video memory does the T400 have, and what type?
A: It has 2 GB of GDDR6 memory on a 64-bit bus, with a bandwidth of 80.00 GB/s.
Q: What graphics APIs are supported?
A: The T400 supports DirectX 12 (feature level 12_1), OpenGL 4.6, and Vulkan 1.4.
Q: What power connector is required?
A: None. The card draws all power from the PCIe slot and has a TDP of 30 W; a 200 W PSU is suggested.
Q: Is the T400 still in production?
A: No, it is end-of-life. It was released on May 5, 2021.
Q: How does the T400 compare to the AMD Radeon 680M?
A: The T400 is 0.5% ahead in average benchmark score, making them effectively equivalent in performance.
Detailed benchmark scores and charts for the NVIDIA T400 are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA T400 handles parallel computing tasks like video encoding and scientific simulations.
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 T400 performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
Top 5 Performers
Nearby Performers
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