NVIDIA T500 Max-Q
NVIDIA graphics card specifications and benchmark scores
NVIDIA T500 Max-Q Specifications
T500 Max-Q GPU Core
Shader units and compute resources
The NVIDIA T500 Max-Q 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.
T500 Max-Q Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the T500 Max-Q'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 T500 Max-Q by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's T500 Max-Q Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The T500 Max-Q'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.
T500 Max-Q by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the T500 Max-Q, 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.
T500 Max-Q Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA T500 Max-Q 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 T500 Max-Q 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 T500 Max-Q will perform in GPU benchmarks compared to previous generations.
NVIDIA's T500 Max-Q Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA T500 Max-Q 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 T500 Max-Q to maintain boost clocks without throttling.
T500 Max-Q by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA T500 Max-Q 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 T500 Max-Q. 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.
T500 Max-Q Product Information
Release and pricing details
The NVIDIA T500 Max-Q 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 T500 Max-Q by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
T500 Max-Q Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA T500 Max-Q
The GeForce NVIDIA T500 Max‑Q is a compact mobile GPU built on the 12 nm Turing silicon. It offers 4 GB of GDDR6 memory accessed through a 128‑bit bus, delivering sufficient bandwidth for light workstation tasks. With a base clock of 795 MHz and a boost clock of 1.425 GHz, the chip balances power efficiency and performance within an 18 W TDP envelope. The PCIe 3.0 x16 interface ensures compatibility with most modern laptops while keeping thermal output modest. Its architecture supports the full CUDA 8.6 toolkit, enabling developers to offload parallel workloads without sacrificing battery life. OpenCL 2.2 is also natively available, providing cross‑vendor flexibility for scientific and media pipelines. Despite the lack of published benchmark scores, the card’s specifications place it firmly in the entry‑level professional segment.
The NVIDIA T500 Max‑Q brings a respectable set of compute features to thin‑and‑light machines. CUDA cores can be programmed through common frameworks such as TensorFlow, PyTorch, and Blender’s Cycles engine. OpenCL support allows integration with legacy codebases that rely on vendor‑agnostic kernels. For creators, the GPU’s 4 GB memory cap is adequate for 1080p video editing, color grading, and basic 3D modeling. The following three capabilities highlight why this card is attractive to content producers:
- Hardware‑accelerated video encode/decode for H.264 and HEVC, reducing render times on Premiere Pro and DaVinci Resolve.
- DirectX 12 and Vulkan drivers that maintain frame stability in real‑time viewport previews.
- CUDA‑enabled AI denoise and upscaling plugins that improve image quality without heavy CPU load.
While it does not target ultra‑high‑resolution workflows, the balance of power draw and performance makes it a viable option for on‑the‑go creators.
Professional certifications such as NVIDIA® Quadro Optimized Driver (QOD) and ISV validation are bundled with the GeForce T500 Max‑Q, ensuring compatibility with industry‑standard suites. Enterprise features include support for Virtual GPU (vGPU) deployment, allowing multiple remote users to share the GPU resources securely. The card also integrates NVIDIA’s RTX‑Ready drivers, which provide stable updates and security patches for business environments. With its low thermal design power, the T500 Max‑Q can be deployed in dense workstation clusters where heat density is a concern. Management tools like NVIDIA Control Panel and nvidia‑smi give administrators granular control over power limits and compute allocation. The combination of certified drivers, vGPU support, and robust driver lifecycle makes this GPU a practical choice for small‑to‑medium enterprises. In summary, the device offers a compelling blend of CUDA/OpenCL capability, creator‑focused features, and enterprise‑grade reliability for mobile workstations.
The AMD Equivalent of T500 Max-Q
Looking for a similar graphics card from AMD? The AMD Radeon RX 6800 XT offers comparable performance and features in the AMD lineup.
Popular NVIDIA T500 Max-Q Comparisons
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