NVIDIA GeForce GT 640
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA GeForce GT 640 Specifications
GeForce GT 640 GPU Core
Shader units and compute resources
The NVIDIA GeForce GT 640 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 640 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GeForce GT 640'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 640 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GeForce GT 640 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce GT 640'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 640 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GT 640, 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 640 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce GT 640 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.
Kepler Architecture & Process
Manufacturing and design details
The NVIDIA GeForce GT 640 is built on NVIDIA's Kepler 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 640 will perform in GPU benchmarks compared to previous generations.
NVIDIA's GeForce GT 640 Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GeForce GT 640 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 640 to maintain boost clocks without throttling.
GeForce GT 640 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GeForce GT 640 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 640. 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 640 Product Information
Release and pricing details
The NVIDIA GeForce GT 640 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 640 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
GeForce GT 640 Benchmark Scores
geekbench_metalSource
Geekbench Metal tests GPU compute using Apple's Metal API. This shows how NVIDIA GeForce GT 640 performs in macOS and iOS applications that leverage GPU acceleration. Metal provides low-overhead access to Apple silicon GPUs. Creative applications on Mac heavily utilize Metal for rendering and video processing.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA GeForce GT 640 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
Top 5 Performers
Nearby Performers
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA GeForce GT 640 performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL. Modern games and applications increasingly use Vulkan for cross-platform GPU acceleration.
Top 5 Performers
Nearby Performers
About NVIDIA GeForce GT 640
The NVIDIA GeForce GT 640 is a Kepler-architecture graphics card from the GeForce 600 generation, built on TSMC's 28 nm process with 1,270 million transistors on a 118 mm² die. It carries a launch MSRP of 99 USD and is now end-of-life, occupying the 18th percentile of all GPUs in the benchmark database. Its average benchmark score of 3082 places it in entry-level territory, where it competes closely with a cluster of older and mobile-oriented parts.
Benchmark Performance
The GT 640's aggregate benchmark data shows a card that sits at the edge of modern usability, with an average score of 3082 across Geekbench compute tests. In OpenCL workloads, it scores 3721, while Vulkan results come in at 3717, showing near-parity between these two APIs. Metal performance is notably lower at 1808, which reflects the card's age and lack of optimization for Apple's modern compute framework.
The deltaPct values against its nearest rivals reveal a tight, competitive grouping. The GT 640 is just 2.2% ahead of the GTX 750 Ti's average score of 3016, a margin that is essentially noise in real-world terms. It leads the GeForce 820A by 3.3% (that card scores 2983) and the GT 730M by 3.6% (2975). The largest gap is against the GTX 860M, where the GT 640 holds a 4.2% advantage (2959 for the rival). These are small margins, no rival in this group is more than 5% behind, meaning the GT 640 does not decisively outperform any of them.
What these numbers suggest is that the GT 640's 692.7 GFLOPS of FP32 compute and 28.86 GTexel/s texture rate put it in a performance class where generational improvements in the competition have been incremental. The 18th percentile ranking confirms that this is a bottom-quartile part by today's standards, but the benchmark deltas show it is not obsolete relative to its direct peers. A builder comparing these cards would see effectively identical compute performance, making other factors like power draw and connectivity more important in a purchasing decision.
Ray Tracing and Feature Set
The GT 640 has no dedicated ray tracing cores and no tensor cores, as these were introduced in later architectures. Its feature set is defined by the Kepler architecture's baseline capabilities, which include support for DirectX 12 at the 11_0 feature level, not full DirectX 12 Ultimate, along with OpenGL 4.6 and Vulkan 1.2.175. This means the card can run modern API titles, but it will lack hardware-accelerated ray tracing and AI-based upscaling features found in newer GPUs.
For practical purposes, the 384 shading units and 32 texture mapping units provide enough throughput for legacy DirectX 11 games and esports titles at low settings, but the absence of RT/tensor hardware precludes any ray-traced effects. The display outputs, 1x DVI, 1x HDMI 1.4a, and 1x DisplayPort 1.2, offer flexible monitor connectivity for its era, with the DisplayPort 1.2 supporting higher resolutions than the HDMI 1.4a. The PCIe 3.0 x16 bus interface is adequate for this card's bandwidth needs, as its memory subsystem is the limiting factor rather than the bus.
How It Compares
NVIDIA GeForce GTX 750 Ti: The GT 640 leads by 2.2% in average benchmark score (3082 vs 3016), but this is a negligible margin. The GTX 750 Ti is a more efficient architecture, and the data suggests these cards are functionally interchangeable in compute tasks. The GT 640's advantage is purely numerical, not experiential.
NVIDIA GeForce 820A: With a 3.3% lead over the 820A (2983), the GT 640 is marginally faster, but the 820A is a mobile part with different power characteristics. In a desktop context, the GT 640's 65 W TDP and single-slot design give it a form-factor advantage, while the performance gap is too small to matter in gaming scenarios.
NVIDIA GeForce GT 730M: The GT 640 outperforms the GT 730M by 3.6% (2975), a similar story to the 820A. Both are older mobile GPUs, and the GT 640's desktop positioning means it avoids the thermal constraints that typically limit laptop parts. The benchmark delta does not translate into a meaningful frame rate difference in most titles.
NVIDIA GeForce GTX 860M: The largest delta in this group is against the GTX 860M, where the GT 640 is 4.2% ahead (2959). Despite the GTX 860M being a higher-tier mobile part, the GT 640's desktop clocks and dedicated cooling allow it to edge ahead in raw compute. This is the only comparison where the GT 640's lead exceeds 4%, and it is still well within the range of run-to-run variance.
FAQ
Q: Does the GT 640 support hardware ray tracing?
A: No. The card has no ray tracing cores and no tensor cores, so all ray-traced effects are unavailable regardless of driver support.
Q: What is the GT 640's average benchmark score and percentile ranking?
A: Its average benchmark score is 3082, which places it in the 18th percentile of all GPUs in the database.
Q: How does the GT 640 compare to the GTX 750 Ti?
A: The GT 640 is 2.2% faster in average benchmark score, with scores of 3082 and 3016 respectively.
Q: What APIs does the GT 640 support?
A: It supports DirectX 12 (11_0 feature level), OpenGL 4.6, and Vulkan 1.2.175.
Q: What is the memory configuration of the GT 640?
A: It has 2 GB of DDR3 memory on a 128-bit bus, with 28.51 GB/s of bandwidth and a memory clock of 1782 Mbps effective.
Q: Is the GT 640 still in production?
A: No, it is end-of-life, having been released on June 4, 2012, as part of the GeForce 600 generation.
Memory Subsystem
The GT 640 ships with 2 GB of DDR3 memory on a 128-bit bus, yielding a bandwidth of 28.51 GB/s. The memory clock runs at 891 MHz (1782 Mbps effective). This is a modest configuration by any standard, and it directly constrains the card's performance at higher resolutions. The 28.51 GB/s bandwidth is sufficient for 1080p gaming in older titles with reduced texture quality, but it becomes a bottleneck in modern games that demand more than 32 GB/s for smooth operation.
At 1440p or 4K, the GT 640's memory subsystem will struggle regardless of the compute capability. The 2 GB capacity is adequate for low-detail 1080p, but high-resolution texture packs will exceed it, forcing the driver to spill to system memory over the PCIe 3.0 x16 bus. The 128-bit bus width is typical for this class of card, but it limits the potential for bandwidth scaling that wider buses (256-bit or 384-bit) would offer. For a builder considering this card, the memory subsystem is the primary reason to keep expectations at 720p or 1080p with conservative settings.
Power and Cooling
The GT 640 has a TDP of 65 W, which is modest even by 2012 standards. This power envelope allows for a single-slot cooler and requires no external power connectors, the card draws all its power from the PCIe slot. NVIDIA recommends a 250 W power supply, which is a low bar that most modern PSUs exceed by a wide margin.
The card's physical dimensions are 145 mm (5.7 inches) in length, and it occupies a single slot, making it suitable for small form factor builds or secondary systems where space is at a premium. The absence of power connectors simplifies installation, and the 65 W TDP means cooling is a non-issue in most chassis. The 28 nm process node from TSMC contributes to this efficiency, as does the GK107 chip's relatively low transistor count of 1,270 million.
For a builder, the GT 640's power and cooling requirements are its most attractive features, it is a drop-in card that works in almost any system with a 250 W or larger PSU. The single-slot design and lack of connectors also make it easy to install in legacy pre-built systems with limited clearance. However, the low TDP is a double-edged sword: it implies a low performance ceiling, which the benchmark data confirms. This is a card for basic display output or very light gaming, not for demanding workloads.
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