GEFORCE

NVIDIA Quadro M500M

NVIDIA graphics card specifications and benchmark scores

2 GB
VRAM
1124
MHz Boost
30W
TDP
64
Bus Width

At a Glance

NVIDIA
VRAM 2 GB
Boost Clock 1,124 MHz
Shaders 384
Bus Width 64-bit
TDP 30W
Memory Type DDR3
Architecture Maxwell
nm
Process 28 nm
Released Apr 2016

NVIDIA Quadro M500M Specifications

GPU Core

Shader units and compute resources

The NVIDIA Quadro M500M 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
384
Shaders
384
TMUs
16
ROPs
8

Quadro M500M Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the Quadro M500M'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 Quadro M500M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1029 MHz
Base Clock
1,029 MHz
Boost Clock
1124 MHz
Boost Clock
1,124 MHz
Memory Clock
900 MHz 1800 Mbps effective
GDDR GDDR 6X 6X

NVIDIA's Quadro M500M Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro M500M'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
64 bit
Bus Width
64-bit
Bandwidth
14.40 GB/s

Quadro M500M by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the Quadro M500M, 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 SMM)
L2 Cache
1024 KB

Quadro M500M Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro M500M 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)
863.2 GFLOPS
FP64 (Double)
26.98 GFLOPS (1:32)
Pixel Rate
8.992 GPixel/s
Texture Rate
17.98 GTexel/s

Maxwell Architecture & Process

Manufacturing and design details

The NVIDIA Quadro M500M is built on NVIDIA's Maxwell 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 Quadro M500M will perform in GPU benchmarks compared to previous generations.

Architecture
Maxwell
GPU Name
GM108S
Process Node
28 nm
Foundry
TSMC
Transistors
1,020 million
Die Size
77 mm²
Density
13.2M / mm²

Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA Quadro M500M 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 Quadro M500M to maintain boost clocks without throttling.

TDP
30 W
TDP
30W
Power Connectors
None

Quadro M500M by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA Quadro M500M 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
MXM Module
Bus Interface
MXM-A (3.0)
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 Quadro M500M. 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
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
5.0
Shader Model
6.7 (5.1)

Quadro M500M Product Information

Release and pricing details

The NVIDIA Quadro M500M 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 Quadro M500M 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
Apr 2016
Production
End-of-life
Predecessor
Quadro Kepler-M
Successor
Quadro Pascal-M

About NVIDIA Quadro M500M

The NVIDIA Quadro M500M is a Maxwell-generation professional mobile GPU built on TSMC's 28 nm process, featuring 384 shading units and a 64-bit memory interface. Its benchmark results place it in the 32nd percentile of all GPUs, with an average score of 5665 across OpenCL and Vulkan tests—a figure that positions it as a competent entry-level solution for specific workloads rather than a performance powerhouse.

Who Should Consider It

The M500M is best suited for users whose primary tasks involve light to moderate GPU acceleration in professional applications, particularly at 1080p resolution with modest settings. Its OpenCL score of 6107 and Vulkan score of 5222 indicate that the card can handle compute-oriented workloads like basic CAD viewport rendering, photo editing, or entry-level video transcoding without significant strain. For gaming, the data suggests it is only viable at lower resolutions and reduced graphical presets—the 32nd percentile ranking across all GPUs means it trails the vast majority of modern discrete graphics solutions.

At 1080p, users should expect playable frame rates only in older or less demanding titles when settings are turned down to low or medium. The card's 2 GB DDR3 memory and 14.40 GB/s bandwidth create a bottleneck for texture-heavy scenes or high-resolution assets, so higher settings will likely produce stuttering or texture pop-in. For 1440p or 4K workloads, the M500M is not recommended; the memory subsystem and raw compute throughput are insufficient for smooth performance at those resolutions. This GPU also suits users who need a low-profile MXM module for portable or compact systems, as its form factor is designed for such deployments rather than desktop towers.

Ray Tracing and Feature Set

The M500M does not include dedicated ray tracing cores or tensor cores, as these technologies were introduced in later architectures. Its Maxwell architecture relies on traditional rasterization techniques, meaning ray-traced effects such as reflections, shadows, or global illumination are not hardware-accelerated. Users requiring ray tracing will need to rely on software-based implementations, which typically deliver significantly lower frame rates, or consider a newer GPU.

In terms of API support, the card offers DirectX 12 (11_0), OpenGL 4.6, and Vulkan 1.4. The DirectX 12 feature level of 11_0 is an important limitation—it does not support some of the more advanced features found in full DirectX 12 Ultimate implementations, such as mesh shaders or variable rate shading. Vulkan 1.4 support is more current, providing a solid foundation for modern cross-platform titles that leverage this API. OpenGL 4.6 is fully supported, which benefits professional applications that rely on this API for CAD, scientific visualization, or content creation. The absence of tensor cores also means no hardware-accelerated AI features like DLSS or neural network inference, which are increasingly common in newer software.

Power and Cooling

The M500M carries a TDP of 30 W, making it an exceptionally power-efficient solution for a mobile professional GPU. This low power envelope means it can be cooled by a simple passive heatsink or a small low-profile fan, which is ideal for thin-and-light laptops or compact MXM-based systems. There are no power connectors required—the card draws all its power from the MXM slot itself, simplifying installation and reducing cable clutter in portable chassis.

Because the suggested PSU is not specified in the data, no specific wattage recommendation can be made. However, given the 30 W TDP and the absence of auxiliary power connectors, it is clear that the M500M will place minimal strain on any system's power delivery. This makes it a suitable choice for upgrades in existing laptops where power supply headroom is limited. Thermal management is likewise straightforward; the low heat output allows for quiet operation, and the card's end-of-life status suggests that replacement fans or cooling kits may be harder to source over time.

How It Compares

The M500M sits within a tight cluster of rival GPUs, with performance deltas of roughly 1% or less across all comparisons. This indicates that users should not expect meaningful differences between these cards in real-world workloads.

Against the NVIDIA GeForce 940MX, the M500M is effectively tied, with a delta of 0.2%. The 940MX averages 5653 in benchmark scores, while the M500M's average is 5665—a negligible 12-point difference. In practice, this means both cards will deliver nearly identical frame rates in games and similar compute performance in professional applications. The choice between them would likely come down to driver support or specific feature availability, not raw speed.

The NVIDIA GeForce MX130 is another close competitor, with an average score of 5634 and a delta of 0.6% behind the M500M. This 31-point gap is well within noise margins for benchmark testing. Users transitioning from an MX130 to an M500M would see no tangible improvement in performance, making such an upgrade pointless from a speed standpoint. Both cards are entry-level mobile solutions with similar 2 GB memory configurations.

The Intel Iris Pro Graphics P6300 actually edges out the M500M by 0.8%, posting an average score of 5712. This integrated GPU solution from Intel outperforms the discrete M500M by 47 points, which is a notable result given that the Iris Pro does not have dedicated VRAM. This suggests that the M500M's 64-bit memory bus and DDR3 memory are a significant limiting factor, allowing a well-implemented integrated solution to match or exceed its performance in certain compute tasks.

The NVIDIA Quadro K4000 is the fastest rival in this group, with an average score of 5723 and a delta of 1% ahead of the M500M. The 58-point difference is small but consistent, indicating that the older K4000—which features a wider memory bus—holds a slight advantage in bandwidth-sensitive workloads. For professional users, this could translate to marginally better viewport performance in CAD or 3D modeling applications, though the difference is unlikely to be perceptible in everyday use.

Memory Subsystem

The M500M is equipped with 2 GB of DDR3 memory on a 64-bit bus, yielding a bandwidth of 14.40 GB/s. This memory configuration is a significant bottleneck for the GPU, particularly at higher resolutions where large textures and buffers must be swapped frequently. The 64-bit bus width is half of what many competing entry-level GPUs offered at the time, and the DDR3 memory type is slower than GDDR5 or GDDR6 found in more modern cards.

For 1080p gaming, 2 GB of VRAM is sufficient for older titles or those with low-resolution textures, but modern games often exceed this capacity, leading to asset streaming from system memory and noticeable stuttering. The low bandwidth of 14.40 GB/s compounds this issue, as even when textures fit within VRAM, the transfer rate between the GPU and memory is insufficient for high-detail scenes. This is particularly evident in open-world games or titles with large draw distances, where geometry and texture data must be loaded continuously.

At resolutions above 1080p, the memory subsystem becomes a hard limit. The pixel rate of 8.992 GPixel/s and texture rate of 17.98 GTexel/s are already modest, but the 14.40 GB/s bandwidth means that the GPU cannot feed its shaders quickly enough to maintain smooth frame rates at 1440p or 4K. The 2 GB capacity also prevents the use of high-resolution texture packs, which are common in modern game settings. For professional workloads, the memory is adequate for 2D tasks or light 3D modeling, but any project involving high-polygon scenes or large data sets will likely exceed the available VRAM, forcing the system to rely on slower system memory. The 64-bit bus also limits the effectiveness of any memory overclocking, as the bottleneck is the interface width rather than the memory clock speed.

Detailed benchmark scores and charts for the NVIDIA Quadro M500M are below.

Benchmark Scores

geekbench_openclSource

Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro M500M handles parallel computing tasks like video encoding and scientific simulations.

geekbench_opencl #470 of 650
5,986
2%
Max: 388,405
Compare with other GPUs

geekbench_vulkanSource

Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA Quadro M500M performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.

geekbench_vulkan #384 of 446
5,222
1%
Max: 376,915

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