GEFORCE

NVIDIA GeForce GT 635M

NVIDIA graphics card specifications and benchmark scores

2 GB
VRAM
MHz Boost
35W
TDP
128
Bus Width

NVIDIA GeForce GT 635M Specifications

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GeForce GT 635M GPU Core

Shader units and compute resources

The NVIDIA GeForce GT 635M 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.

Shading Units
96
Shaders
96
TMUs
16
ROPs
4
SM Count
2
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GT 635M Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the GeForce GT 635M'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 635M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

GPU Clock
475 MHz
Memory Clock
900 MHz 1800 Mbps effective
Shader Clock
950 MHz
GDDR GDDR 6X 6X

NVIDIA's GeForce GT 635M Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce GT 635M'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.

Memory Size
2 GB
VRAM
2,048 MB
Memory Type
DDR3
VRAM Type
DDR3
Memory Bus
128 bit
Bus Width
128-bit
Bandwidth
28.80 GB/s
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GeForce GT 635M by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the GT 635M, 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.

L1 Cache
64 KB (per SM)
L2 Cache
256 KB
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GT 635M Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce GT 635M 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.

FP32 (Float)
182.4 GFLOPS
FP64 (Double)
15.20 GFLOPS (1:12)
Pixel Rate
1.900 GPixel/s
Texture Rate
7.600 GTexel/s
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Fermi Architecture & Process

Manufacturing and design details

The NVIDIA GeForce GT 635M 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 635M will perform in GPU benchmarks compared to previous generations.

Architecture
Fermi
GPU Name
GF108
Process Node
40 nm
Foundry
TSMC
Transistors
585 million
Die Size
116 mm²
Density
5.0M / mm²
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NVIDIA's GeForce GT 635M Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA GeForce GT 635M 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 635M to maintain boost clocks without throttling.

TDP
35 W
TDP
35W
Power Connectors
None
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GeForce GT 635M by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA GeForce GT 635M 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.

Slot Width
IGP
Bus Interface
PCIe 2.0 x16
Display Outputs
Portable Device Dependent
Display Outputs
Portable Device Dependent
🎮

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA GeForce GT 635M. 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.

DirectX
12 (11_0)
DirectX
12 (11_0)
OpenGL
4.6
OpenGL
4.6
OpenCL
1.1
CUDA
2.1
Shader Model
5.1
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GeForce GT 635M Product Information

Release and pricing details

The NVIDIA GeForce GT 635M 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 635M by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Mar 2012
Production
End-of-life
Predecessor
GeForce 500M
Successor
GeForce 700M

GeForce GT 635M Benchmark Scores

geekbench_openclSource

Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA GeForce GT 635M handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.

geekbench_opencl #520 of 582
2,504
1%
Max: 380,114

About NVIDIA GeForce GT 635M

What role did the NVIDIA GeForce GT 635M play in the 2012 mobile GPU landscape, and how does its Fermi architecture position it among contemporaries? Released on March 22, 2012, this mid-tier GPU targeted budget laptops needing balanced performance for casual gaming and productivity. With a 35W TDP, it offered thermal efficiency for thinner chassis, though its 40nm process and PCIe 2.0 x16 interface hint at limitations for modern workloads. Could its 2GB DDR3 VRAM and Fermi architecture still justify relevance in today’s high-resolution gaming or compute tasks? The GT 635M’s release date places it in a transitional era, where it competed against early Kepler and GCN designs, raising questions about its longevity in professional or gaming environments.

How do the GT 635M’s 2GB DDR3 memory and memory bandwidth affect its ability to handle 1080p gaming or video editing by current standards? While DDR3 was cost-effective in 2012, its lower bandwidth compared to GDDR5 or GDDR6 could bottleneck performance in memory-intensive tasks. The 35W TDP ensures moderate power consumption, but does this come at the cost of computational headroom for modern APIs like DirectX 12 or Vulkan? Its 40nm fabrication, though reliable, lacks the power efficiency of later 28nm or 7nm nodes. For businesses evaluating legacy systems, would the GT 635M’s thermal profile and memory configuration suffice for lightweight AI inference or 3D rendering?

The GT 635M’s OpenCL benchmark score of 2,504 points paints a stark picture of its compute capabilities relative to modern GPUs. How does this score reflect its real-world utility in machine learning, video transcoding, or GPU-accelerated simulations? At less than 10% of flagship GPUs’ performance, the 635M struggles with parallel workloads requiring high core counts and memory throughput. Its Fermi architecture, while pioneering in 2012, lacks the SM efficiency and ray-tracing support of later NVIDIA generations. Could such a score still be acceptable for non-critical tasks, or is the GT 635M obsolete even for basic compute demands? For IT departments, this raises concerns about future-proofing hardware investments.

  • Supports up to 1080p resolution at playable frame rates for mid-2010s games
  • DDR3 VRAM limits performance in texture-heavy or 4K workflows
  • 35W TDP suits thin laptops but restricts overclocking potential
  • Lacks modern features like GDDR6, PCIe 4.0, or DLSS support
  • Optimal for legacy applications, light gaming, or budget workstations

For which scenarios might the NVIDIA GeForce GT 635M still be a viable option in 2023, and what trade-offs does its design necessitate? While it can handle older titles at medium settings or basic photo/video editing, its lack of modern rendering features like ray tracing or variable-rate shading makes it unsuitable for AAA or VR workloads. The 635M’s DDR3 memory and Fermi architecture also hinder its ability to process large datasets or high-resolution textures efficiently. Could businesses with minimal graphical demands or strict budgets justify its use for non-graphics tasks? As a secondary GPU for background processing or in embedded systems, the GT 635M might persist, albeit with significant performance caveats compared to newer alternatives.

The AMD Equivalent of GeForce GT 635M

Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 480

AMD • 8 GB VRAM

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