NVIDIA GeForce GT 430
NVIDIA graphics card specifications and benchmark scores
NVIDIA GeForce GT 430 Specifications
GeForce GT 430 GPU Core
Shader units and compute resources
The NVIDIA GeForce GT 430 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.
GT 430 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GeForce GT 430'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 GeForce GT 430 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GeForce GT 430 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce GT 430'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.
GeForce GT 430 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GT 430, 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.
GT 430 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce GT 430 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.
Fermi Architecture & Process
Manufacturing and design details
The NVIDIA GeForce GT 430 is built on NVIDIA's Fermi 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 GT 430 will perform in GPU benchmarks compared to previous generations.
NVIDIA's GeForce GT 430 Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GeForce GT 430 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 GeForce GT 430 to maintain boost clocks without throttling.
GeForce GT 430 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GeForce GT 430 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 GeForce GT 430. 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.
GeForce GT 430 Product Information
Release and pricing details
The NVIDIA GeForce GT 430 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 GeForce GT 430 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
GeForce GT 430 Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA GeForce GT 430 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
About NVIDIA GeForce GT 430
The Radeon NVIDIA GeForce GT 430, launched in 2010, is a relic in today’s GPU landscape but still holds niche relevance for light professional workloads. Its 512MB of DDR3 VRAM and Fermi architecture make it suitable for basic CAD modeling or low-resolution 3D rendering, though modern software often outpaces its capabilities. Content creators might use it for photo editing or 720p video workflows, but 4K tasks or complex simulations will cripple performance. The 40nm process and 49W TDP keep power consumption low, but thermal efficiency isn’t a strong suit. For users needing a secondary card in a multi-GPU setup, the GT 430’s PCIe 2.0 x16 interface offers minimal bandwidth, limiting scalability in SLI configurations.
Software compatibility is a mixed bag for the GT 430. CUDA and OpenCL support means it can handle light machine learning or data-parallel tasks, but its ancient architecture struggles with modern frameworks. Developers targeting legacy systems might appreciate its stability with older APIs, though driver updates are sparse. Multi-GPU setups are possible but impractical pairing two GT 430s adds negligible power due to VRAM constraints and poor scaling in most applications. Creative tools like Adobe Premiere or Blender will run, but only at reduced settings. The $79 launch price was budget-friendly in 2010, but today’s hardware dwarfs its performance, making it a footnote in software compatibility testing rather than a viable option.
Benchmark data, like the 2,211 OpenCL points, underscores the GT 430’s limitations in modern workloads. It’s best suited for retro gaming or running legacy applications where newer GPUs overkill. Multi-GPU scenarios remain a curiosity rather than a solution, with little gain beyond dual-GPU setups for trivial tasks. While the Radeon NVIDIA GeForce GT 430’s low TDP and PCIe 2.0 interface were cutting-edge in 2010, today it serves as a budget placeholder or a collector’s item. For content creation, it’s a stepping stone to more capable hardware, and for professionals, a reminder of how far GPU tech has evolved in a decade.
The AMD Equivalent of GeForce GT 430
Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.
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