GEFORCE

NVIDIA Quadro M3000M

NVIDIA graphics card specifications and benchmark scores

4 GB
VRAM
924
MHz Boost
75W
TDP
256
Bus Width

At a Glance

NVIDIA
VRAM 4 GB
Boost Clock 924 MHz
Shaders 1,024
Bus Width 256-bit
TDP 75W
Memory Type GDDR5
Architecture Maxwell 2.0
nm
Process 28 nm
Released Aug 2015

NVIDIA Quadro M3000M Specifications

GPU Core

Shader units and compute resources

The NVIDIA Quadro M3000M 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
1,024
Shaders
1,024
TMUs
64
ROPs
32

Quadro M3000M Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the Quadro M3000M'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 M3000M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
823 MHz
Base Clock
823 MHz
Boost Clock
924 MHz
Boost Clock
924 MHz
Memory Clock
1253 MHz 5 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's Quadro M3000M Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro M3000M'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
4 GB
VRAM
4,096 MB
Memory Type
GDDR5
VRAM Type
GDDR5
Memory Bus
256 bit
Bus Width
256-bit
Bandwidth
160.4 GB/s

Quadro M3000M by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the Quadro M3000M, 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
48 KB (per SMM)
L2 Cache
2 MB

Quadro M3000M Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro M3000M 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)
1.892 TFLOPS
FP64 (Double)
59.14 GFLOPS (1:32)
Pixel Rate
29.57 GPixel/s
Texture Rate
59.14 GTexel/s

Maxwell 2.0 Architecture & Process

Manufacturing and design details

The NVIDIA Quadro M3000M is built on NVIDIA's Maxwell 2.0 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 M3000M will perform in GPU benchmarks compared to previous generations.

Architecture
Maxwell 2.0
GPU Name
GM204
Process Node
28 nm
Foundry
TSMC
Transistors
5,200 million
Die Size
398 mm²
Density
13.1M / mm²

Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA Quadro M3000M 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 M3000M to maintain boost clocks without throttling.

TDP
75 W
TDP
75W
Power Connectors
None

Quadro M3000M by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA Quadro M3000M 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
PCIe 3.0 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 Quadro M3000M. 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 (12_1)
DirectX
12 (12_1)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
5.2
Shader Model
6.8

Quadro M3000M Product Information

Release and pricing details

The NVIDIA Quadro M3000M 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 M3000M 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
Aug 2015
Production
End-of-life
Predecessor
Quadro Kepler-M
Successor
Quadro Pascal-M

About NVIDIA Quadro M3000M

NVIDIA’s Quadro M3000M is a mobile workstation graphics solution built on the Maxwell 2.0 architecture, featuring the GM204 chip fabricated on a 28 nm process at TSMC. The GPU integrates 5,200 million transistors on a 398 mm² die, with a transistor density of 13.1M per mm². The card operates at a base clock of 823 MHz and a boost clock of 924 MHz, paired with 1,024 shading units, 64 texture mapping units, and 32 raster operation pipelines. It delivers a pixel rate of 29.57 GPixel/s, a texture rate of 59.14 GTexel/s, and peak FP32 performance of 1.892 TFLOPS. The board is configured as an MXM Module with a 75 W TDP and no power connectors, relying on the host system for power delivery. Its production status is end-of-life, released on August 17, 2015, positioned between the Quadro Kepler-M predecessor and the Quadro Pascal-M successor. The bus interface is PCIe 3.0 x16, and display outputs are portable device dependent.

Benchmark Performance

The Quadro M3000M’s aggregate benchmark results place it in the 25th percentile of all GPUs, with an average benchmark score of 4,635. This positioning indicates a mobile part that sits firmly in the entry-to-mid range of the performance spectrum, not intended for high-end compute or gaming workloads but rather for professional CAD and visualization tasks where reliability and driver certification matter more than raw speed. The data shows a wide variance across different API tests, which reveals the card’s architectural strengths and weaknesses.

In compute-oriented workloads, the GPU posts a Geekbench OpenCL score of 16,646 and a Geekbench Vulkan score of 16,792. These figures are relatively close, suggesting consistent throughput across these two modern APIs. However, the Passmark suite tells a more nuanced story. The DirectX 9 score is 98, which is far higher than any other DirectX test, indicating that the Maxwell 2.0 architecture retains strong legacy performance. The DirectX 11 score drops to 42, and DirectX 10 falls to 26, while DirectX 12 is the lowest at 23. This pattern suggests that the M3000M’s driver and hardware are optimized for older shading models, and its performance degrades significantly as API complexity increases. The compute-oriented Passmark GPU compute score is 2,139, which is modest when compared to the OpenCL results, reflecting the card’s limited FP32 throughput of 1.892 TFLOPS.

The 2D performance is captured by a Passmark G2D score of 402, and the overall 3D performance is represented by a Passmark G3D score of 5,543. The 3D score is the most representative of real-world graphics workloads, and it aligns with the card’s position among its nearest rivals. The deltaPct values in the nearestRivals data show that the M3000M is essentially neck-and-neck with the AMD Radeon R7 M260 and the AMD Radeon R5 M320, both of which are within 0.1% of its average score. The NVIDIA GeForce GTX 970M is 0.4% faster, and the AMD Radeon R8 M445DX is 0.7% faster. These margins are negligible in real-world terms, meaning the M3000M performs at parity with these mobile parts despite being a workstation-oriented product.

Ray Tracing and Feature Set

The Quadro M3000M is built on the Maxwell 2.0 architecture, which predates dedicated ray tracing hardware. The fact pack lists no RT cores and no tensor cores, meaning the GPU relies entirely on traditional rasterization techniques for rendering. Consequently, there is no hardware-accelerated ray tracing support, and any ray-traced workloads would run on the shader units, albeit at significantly reduced performance compared to dedicated RT hardware found in later architectures. The card’s FP32 performance of 1.892 TFLOPS provides the raw compute ceiling for such software-based approaches, but benchmark results indicate this is not a viable path for real-time ray tracing.

The feature set is instead defined by its API support. The GPU supports DirectX 12 (12_1), which includes feature level 12_1, enabling advanced rasterization features like conservative rasterization and rasterizer-ordered views. OpenGL 4.6 is supported, which is crucial for professional applications like CAD and simulation software that rely heavily on this API. Vulkan 1.4 is also listed, providing modern low-level access for cross-platform workloads. The absence of tensor cores means no AI-accelerated features such as DLSS or neural network inference, which are absent from this generation entirely. The card’s 32 ROPs and 64 TMUs provide the texture and pixel throughput necessary for professional viewport rendering, but the lack of any specialized compute units limits its utility in emerging fields like machine learning or real-time ray tracing.

Memory Subsystem

The M3000M is equipped with 4 GB of GDDR5 memory on a 256-bit bus, yielding a memory bandwidth of 160.4 GB/s. The memory clock is 1,253 MHz, which translates to 5 Gbps effective data rate. This memory configuration is typical for a mid-range mobile workstation GPU from the 2015 era, and it provides a balanced ratio between compute capacity and bandwidth. The 160.4 GB/s bandwidth is sufficient for 1080p professional workloads, but it becomes a limiting factor at higher resolutions where texture fetch and framebuffer access demand more throughput.

For high-resolution displays, the data suggests the card can handle 4K viewport rendering in non-textured or lightly textured scenes, but heavy multi-sample anti-aliasing or complex shader workloads will saturate the memory bus quickly. The 4 GB capacity is adequate for most professional applications of the time, though larger datasets or multi-display configurations could exceed this limit. The 256-bit bus width is a positive indicator, as it provides a wider path for data movement compared to narrower 128-bit configurations found in lower-tier mobile parts. However, the bandwidth of 160.4 GB/s is modest when compared to desktop workstation cards of the same generation, and it directly impacts the GPU’s ability to sustain high frame rates in memory-intensive scenarios.

How It Compares

AMD Radeon R7 M260: The M3000M edges out the R7 M260 by a mere 0.1% in average benchmark score, with 4,635 versus 4,630. This effectively puts the two cards at performance parity. The Quadro distinguishes itself through its workstation-oriented feature set, including OpenGL 4.6 support and higher transistor count, but in raw compute and graphics tests, the data shows no meaningful advantage.

AMD Radeon R5 M320: The delta against the R5 M320 is also 0.1%, with the M3000M scoring 4,635 versus 4,629. This is a statistical tie. The M3000M’s Maxwell architecture provides better DirectX 9 performance, but the overall average is nearly identical, suggesting that the two cards compete in the same performance tier despite different architectural approaches.

NVIDIA GeForce GTX 970M: The GTX 970M is 0.4% faster, scoring 4,655 compared to the M3000M’s 4,635. This is a negligible difference, but the GTX 970M is a consumer gaming part, whereas the M3000M targets professional workflows. The Quadro’s advantage lies in its certified drivers and ISV support, not in raw performance metrics.

AMD Radeon R8 M445DX: The R8 M445DX leads by 0.7%, with a score of 4,670 versus 4,635. This is the largest delta among the nearest rivals, but still well within the margin of error for benchmark variance. The data indicates that the M3000M performs consistently with other mid-range mobile GPUs of its era, and its positioning is defined more by its professional feature set than by any performance leadership.

FAQ

Q: What is the average benchmark score for the Quadro M3000M?

A: The average benchmark score is 4,635, placing the GPU in the 25th percentile of all GPUs.

Q: How does the M3000M compare to the NVIDIA GeForce GTX 970M?

A: The GTX 970M is 0.4% faster in average benchmark score, with 4,655 versus 4,635 for the M3000M.

Q: What API versions does the M3000M support?

A: The GPU supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.

Q: What is the memory bandwidth and bus width of the M3000M?

A: The card has 4 GB of GDDR5 memory on a 256-bit bus, providing 160.4 GB/s of bandwidth.

Q: Does the M3000M have dedicated ray tracing cores?

A: No, the fact pack lists no RT cores or tensor cores, indicating no hardware-accelerated ray tracing support.

Q: What is the FP32 performance of the M3000M?

A: The peak FP32 performance is 1.892 TFLOPS, with a pixel rate of 29.57 GPixel/s and a texture rate of 59.14 GTexel/s.

Detailed benchmark scores and charts for the NVIDIA Quadro M3000M are below.

Benchmark Scores

geekbench_openclSource

Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro M3000M handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.

geekbench_opencl #334 of 650
16,646
4%
Max: 388,405
Compare with other GPUs

Top 5 Performers

#1 NVIDIA RTX 6000D
388,405
#2 NVIDIA B300 SXM6 AC
369,831
#3 NVIDIA B200
345,482
#4 NVIDIA H200 NVL
334,891

geekbench_vulkanSource

Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA Quadro M3000M 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.

geekbench_vulkan #298 of 446
16,668
4%
Max: 376,915
Compare with other GPUs

passmark_directx_10Source

DirectX 10 tests NVIDIA Quadro M3000M with the graphics API introduced with Windows Vista. This shows performance in games from the 2007-2009 era that targeted this feature level.

passmark_directx_11Source

DirectX 11 tests NVIDIA Quadro M3000M with the widely-used graphics API powering most current games. This shows mainstream gaming performance across the majority of today's titles. DX11 remains the most common rendering path even in newer games.

passmark_directx_12Source

DirectX 12 tests NVIDIA Quadro M3000M with the modern low-overhead graphics API. This shows performance in next-gen games that leverage DX12 features like ray tracing and mesh shaders. DX12 offers better CPU efficiency through reduced driver overhead. AAA games increasingly require DX12 for advanced graphical features and optimal performance.

passmark_directx_9Source

DirectX 9 tests NVIDIA Quadro M3000M performance with the legacy graphics API still used by older games. This shows compatibility and performance with classic titles from the 2000s era. Many indie games and older titles still rely on DirectX 9. Emulators and legacy software also benefit from good DX9 performance.

passmark_g2dSource

PassMark G2D tests 2D graphics performance for desktop rendering, UI elements, and productivity applications. This shows how NVIDIA Quadro M3000M handles everyday visual tasks. Higher scores mean smoother desktop experience and faster UI rendering. Multi-monitor setups and high-DPI displays benefit from strong 2D performance.

passmark_g3dSource

PassMark G3D measures overall 3D graphics performance of NVIDIA Quadro M3000M across DirectX 9 through 12 tests. This provides a comprehensive gaming capability score.

passmark_g3d #157 of 186
5,543
13%
Max: 44,065

passmark_gpu_computeSource

GPU compute tests parallel processing capability of NVIDIA Quadro M3000M using OpenCL. This shows performance in video encoding, scientific computing, and AI workloads. Non-gaming applications increasingly leverage GPU compute for acceleration. Video editing, 3D rendering, and machine learning all benefit from strong GPU compute scores.

passmark_gpu_compute #158 of 184
2,139
8%
Max: 28,396

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