NVIDIA GeForce GT 640M LE
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA 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.
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 GeForce GT 640M LE performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
Top 5 Performers
Nearby Performers
About NVIDIA GeForce GT 640M LE
The NVIDIA GeForce GT 640M LE is a mobile graphics processor from the GeForce 600M generation, built on the Fermi architecture with a 40 nm process from TSMC. It packs 96 shading units, 16 texture mapping units, and 4 ROPs, with a 128-bit memory interface and 2 GB of GDDR5 memory. The chip carries 585 million transistors on a 116 mm² die, giving a transistor density of 5.0M per mm². The GPU is now end-of-life, with an average benchmark score of 2293 and a 13th percentile ranking across all GPUs, indicating that it sits in the lower performance tier of the current landscape.
Memory Subsystem
The GT 640M LE is equipped with 2 GB of GDDR5 memory across a 128-bit bus. The memory clock is 785 MHz, which translates to an effective data rate of 3.1 Gbps and a peak bandwidth of 50.24 GB/s. For high-resolution workloads, this bandwidth figure is a key limiting factor. A 128-bit bus is narrow by modern standards, and 50.24 GB/s is modest even for the generation it belongs to. When rendering at high resolutions, the GPU will likely hit memory bandwidth constraints before shader throughput becomes the bottleneck, especially with high-resolution textures or anti-aliasing enabled. The 2 GB capacity is sufficient for moderate detail settings at typical laptop resolutions, but it may prove restrictive for large texture packs or multi-monitor setups. The pixel rate of 3.012 GPixel/s and texture rate of 12.05 GTexel/s further illustrate that the memory subsystem is the more constrained component relative to the compute resources.
Who Should Consider It
Benchmark results place the GT 640M LE in the 13th percentile of all GPUs, meaning it outperforms only a small fraction of the broader GPU population. The average benchmark score of 2293 (Geekbench OpenCL 2345, Vulkan 2240) suggests that this is a low-end part, suitable for light productivity and casual gaming at modest settings. Users who primarily engage with older titles, 2D applications, or light 3D workloads at reduced resolutions will find it adequate. For high-resolution gaming or modern AAA titles, the GPU will struggle to maintain playable frame rates. The 2 GB VRAM and 50.24 GB/s bandwidth are adequate for 720p-class rendering with conservative texture quality, but not for 1440p or above. The low TDP (32 W) makes it attractive for thin-and-light laptops where thermal headroom is limited, but the performance ceiling is correspondingly low. It is not a candidate for enthusiast workloads, but it can handle everyday computing and light gaming.
Power and Cooling
The GT 640M LE has a TDP of 32 W, which is notably low for a discrete GPU. This power envelope allows for compact cooling solutions and enables integration into portable devices where space and thermal dissipation are constrained. The FACT PACK lists no dedicated power connectors and no suggested PSU, which is consistent with a mobile part that draws power from the system's main rail. The display outputs are described as "Portable Device Dependent," meaning the actual connectors (HDMI, DisplayPort, etc.) vary by laptop implementation. Because the GPU is end-of-life, thermal performance will depend heavily on the original laptop's cooling design. The 40 nm process node, while old, contributes to the low power draw; the 585 million transistors are packed into a 116 mm² die, yielding a transistor density of 5.0M per mm². For users considering a used laptop with this GPU, the 32 W TDP suggests that battery life impact is modest, but sustained loads may still cause thermal throttling in poorly ventilated chassis.
How It Compares
The nearest rivals provide a clear picture of the GT 640M LE's standing. Against the NVIDIA GeForce GT 640M (non-LE), the LE is marginally ahead: the GT 640M has an average score of 2291, and the LE's 2293 is 0.1% higher. This difference is negligible, effectively making the two identical in performance. The Quadro M1000M, a professional mobile card, scores 2326, which is 1.4% higher than the LE. While the delta is small, the Quadro's driver optimizations for professional applications may give it an edge in specific workloads. The GeForce GT 550M scores 2363, putting it 3% ahead of the LE. This is a more noticeable gap, likely due to the GT 550M's higher clock speeds or memory configuration. The GeForce GT 630M, with an average score of 2367, is 3.1% faster than the LE. The LE's position is thus at the bottom of this cluster, with only the GT 640M (non-LE) being essentially equal. All four rivals are within a 3.1% performance window, so the LE is not drastically slower than any of them, but it is consistently the least performant except for the tie with the GT 640M.
Benchmark Performance
The GT 640M LE achieves a Geekbench OpenCL score of 2345 and a Vulkan score of 2240, yielding an average of 2293. The Vulkan score is notably lower than the OpenCL score, which may reflect driver maturity or architectural limitations in compute-heavy workloads. The percentile ranking of 13 indicates that the GPU falls in the bottom 13% of all GPUs tested, reinforcing its entry-level status. When compared to its nearest rivals, the deltas are small but consistent. The LE is 0.1% ahead of the GT 640M, a difference of just 2 points (2293 vs 2291). Against the Quadro M1000M, the LE trails by 1.4%, a 33-point gap. The GT 550M is 3% faster, a 70-point difference, and the GT 630M is 3.1% faster, a 74-point gap. These figures suggest that the LE is not far behind its immediate peers, but the pattern of lower scores across multiple benchmarks indicates a slightly reduced capability in both compute and graphics tasks. The FP32 throughput of 289.0 GFLOPS, combined with a texture rate of 12.05 GTexel/s and pixel rate of 3.012 GPixel/s, provides a baseline for theoretical performance. In practice, the benchmark scores show that the LE can handle light to moderate workloads, but it will not excel in anything demanding.
FAQ
Q: What is the memory bandwidth of the GeForce GT 640M LE?
A: The memory bandwidth is 50.24 GB/s, achieved via a 128-bit bus with GDDR5 memory running at 785 MHz (3.1 Gbps effective).
Q: How does the GT 640M LE compare to the GT 630M?
A: The GT 630M has an average benchmark score of 2367, which is 3.1% higher than the LE's 2293, making the GT 630M the faster card.
Q: What is the TDP of the GT 640M LE?
A: The TDP is 32 W, a low figure that suits thin-and-light portable devices.
Q: Does the GT 640M LE support Vulkan?
A: The FACT PACK lists Vulkan as null, meaning no Vulkan support is specified; however, it supports DirectX 12 (11_0) and OpenGL 4.6.
Q: What is the average benchmark score of the GT 640M LE?
A: The average benchmark score is 2293, based on Geekbench OpenCL (2345) and Vulkan (2240) results.
Q: Is the GT 640M LE faster than the Quadro M1000M?
A: No, the Quadro M1000M scores 2326, which is 1.4% higher than the LE's 2293, so the Quadro is the faster GPU.
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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