NVIDIA GeForce GT 640M LE
NVIDIA graphics card specifications and benchmark scores
NVIDIA GeForce GT 640M LE Specifications
GeForce GT 640M LE GPU Core
Shader units and compute resources
The NVIDIA GeForce GT 640M LE 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 640M LE Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GeForce GT 640M LE'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 640M LE by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GeForce GT 640M LE Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce GT 640M LE'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 640M LE by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GT 640M LE, 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 640M LE Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce GT 640M LE 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 640M LE 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 640M LE will perform in GPU benchmarks compared to previous generations.
NVIDIA's GeForce GT 640M LE Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GeForce GT 640M LE 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 640M LE to maintain boost clocks without throttling.
GeForce GT 640M LE by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GeForce GT 640M LE 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 640M LE. 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 640M LE Product Information
Release and pricing details
The NVIDIA GeForce GT 640M LE 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 640M LE by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
GeForce GT 640M LE Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA GeForce GT 640M LE 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 GeForce GT 640M LE performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
About NVIDIA GeForce GT 640M LE
The NVIDIA GeForce GT 640M LE arrived in early May 2012, targeting the mid‑range notebook market with a modest 32 W TDP and a 40 nm Fermi core. Built on the PCIe 2.0 x16 interface, it offers a respectable 2 GB of GDDR5 memory that runs at a bandwidth sufficient for most legacy titles. Its 2 GB VRAM capacity, coupled with a 128‑bit memory bus, provides enough headroom for texture‑heavy workloads without overwhelming the thermal envelope of thin‑and‑light laptops. While the architecture is already a generation behind the Kepler and Maxwell families, the card still benefits from NVIDIA’s mature driver stack and hardware video decoding support. The combination of a low power envelope and a full‑size memory module makes it a practical upgrade for older Ultrabooks that need a slight graphics boost.
When put through the Geekbench OpenCL suite, the GT 640M LE clocks in at roughly 2,345 points, a figure that places it squarely between integrated Intel HD graphics and the entry‑level GeForce 750M. Its Vulkan score of 2,240 points demonstrates that the card can still handle modern APIs, albeit at reduced settings and lower resolutions. The performance gap becomes evident in compute‑intensive tasks, where the 640M LE’s 96 CUDA cores struggle to keep pace with newer GPUs that feature higher core counts and more efficient architectures. Nevertheless, the card’s OpenCL efficiency is respectable for its age, delivering decent frame times in titles that are not heavily shader‑bound. For users who primarily run productivity applications with occasional light gaming, the GT 640M LE offers a balanced mix of compute and graphics capability.
In gaming scenarios, the GT 640M LE typically sustains playable frame rates at 720p with medium texture detail in older DirectX 9/10 titles such as Battlefield 2 or Far Cry 2. Modern rendering features like tessellation and HDR are either unsupported or severely limited, meaning that newer DirectX 12 games will require aggressive downscaling to maintain smooth gameplay. The 2 GB GDDR5 pool helps mitigate texture pop‑in, but the 128‑bit bus can become a bottleneck when pushing higher resolutions or anti‑aliasing. Users can still enjoy decent visual fidelity in esports titles like League of Legends or CS:GO, where the GPU’s modest compute power is sufficient. Overall, the card shines when paired with a 1366×768 display, delivering a consistent 30‑40 fps experience in less demanding games.
Cooling on the GT 640M LE is typically handled by a dual‑fan solution that leverages the low 32 W thermal design power to keep temperatures under 80 °C under load. Because the GPU does not generate excessive heat, manufacturers can afford thinner heat sinks, which is why the card fits comfortably in slim chassis without sacrificing acoustic performance. The 640M LE is best suited for users who need a reliable graphics boost for multimedia playback, light gaming, and occasional GPU‑accelerated workloads, rather than hardcore gamers seeking high‑refresh‑rate performance. Its modest power draw also makes it an attractive option for battery‑conscious laptops that still want a dedicated graphics processor. In short, the NVIDIA’s 640M LE remains a viable solution for legacy systems that require a gentle but noticeable uplift in visual capability.
The AMD Equivalent of GeForce GT 640M LE
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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