NVIDIA Quadro 4000M
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Quadro 4000M Specifications
GPU Core
Shader units and compute resources
The NVIDIA Quadro 4000M 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.
Quadro 4000M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Quadro 4000M'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 4000M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Quadro 4000M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro 4000M'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.
Quadro 4000M by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Quadro 4000M, 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.
Quadro 4000M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro 4000M 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 Quadro 4000M 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 Quadro 4000M will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Quadro 4000M 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 4000M to maintain boost clocks without throttling.
Quadro 4000M by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Quadro 4000M 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 Quadro 4000M. 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.
Quadro 4000M Product Information
Release and pricing details
The NVIDIA Quadro 4000M 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 4000M by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA Quadro 4000M
The NVIDIA Quadro 4000M is a professional mobile GPU built on the Fermi architecture, fabricated by TSMC on a 40 nm process. It integrates 1,950 million transistors on a 332 mm² die, yielding a transistor density of 5.9M per square millimeter. The chip packs 336 shading units, 56 texture mapping units, and 32 raster output units. Memory duties are handled by 2 GB of GDDR5 across a 256-bit bus, providing 80.00 GB/s of bandwidth. In the Geekbench OpenCL benchmark, the Quadro 4000M scores 5,212 points, placing it in the 29th percentile of all GPUs. This analysis examines its performance relative to nearest rivals, its memory subsystem, and its feature set.
Benchmark Performance
The Quadro 4000M’s Geekbench OpenCL score of 5,212 is a representative measure of its compute throughput. This score places it at the 29th percentile among all GPUs in the database, indicating a below-median standing in the broader landscape, but the context of its immediate competitors tells a more nuanced story. The nearest rivals—NVIDIA GeForce 840M, NVIDIA GeForce GTX 760M, AMD Radeon HD 8570M, and AMD Radeon R7 M260X—all fall within a remarkably tight performance envelope. The Quadro 4000M edges out the GeForce 840M by 0.2% (5,212 vs. 5,200), trails the GeForce GTX 760M by 0.4% (5,212 vs. 5,235), and leads both AMD parts by 0.6% (5,212 vs. 5,183 for the HD 8570M and 5,212 vs. 5,179 for the R7 M260X). These deltas are sub-1% and effectively within run-to-run variance, meaning the Quadro 4000M is performance-equivalent to its immediate peers in compute workloads.
The raw compute specifications support this picture. The FP32 throughput of 638.4 GFLOPS is the primary driver of OpenCL performance, while the pixel rate of 6.650 GPixel/s and texture rate of 26.60 GTexel/s reflect its fill-rate capabilities. In a professional context, such numbers are modest by modern standards, but they were competitive in the 2011 timeframe. The 29th percentile ranking suggests that the Quadro 4000M sits below the median of all GPUs, which is expected given its age and mobile form factor. However, within its own generation and segment, it holds its own against the listed rivals, with the GeForce GTX 760M being the only one to claim a (very slight) advantage. The benchmark results indicate that the Quadro 4000M is a balanced mid-range part, neither a performance outlier nor a laggard.
Memory Subsystem
The Quadro 4000M is equipped with 2 GB of GDDR5 memory, a configuration that was common for professional mobile GPUs of its era. The memory interface is a 256-bit bus, which, combined with a memory clock of 625 MHz (2.5 Gbps effective), yields a bandwidth of 80.00 GB/s. This bandwidth figure is a critical metric for memory-bound workloads, such as high-resolution texture rendering or large dataset processing. The 256-bit bus width is wider than what many mainstream mobile GPUs of the time used, and it directly contributes to the 80.00 GB/s throughput. For high-resolution scenarios, the bandwidth is adequate for 1080p and early 1440p workloads, but the 2 GB capacity may become a limiting factor when dealing with very large framebuffers or multi-monitor setups. The memory type and bus width are consistent with the Fermi architecture’s design goals, balancing capacity and speed for professional applications. The lack of any memory overclocking headroom is not addressed in the data, but the specified effective rate of 2.5 Gbps is a fixed characteristic. The 80.00 GB/s figure places the Quadro 4000M in the same bandwidth class as its nearest rivals, though exact comparisons are not available from the provided data.
How It Compares
vs. NVIDIA GeForce 840M: The Quadro 4000M scores 5,212, a 0.2% advantage over the GeForce 840M’s 5,200. This is a negligible difference, making the two effectively interchangeable in OpenCL compute tasks. The 840M is a consumer-oriented part, while the Quadro carries a professional designation, but the benchmark data shows no meaningful performance separation.
vs. NVIDIA GeForce GTX 760M: The GeForce GTX 760M leads with a score of 5,235, giving it a 0.4% edge over the Quadro 4000M’s 5,212. This is the only rival in the list that outperforms the Quadro, albeit by a margin that falls within typical benchmark noise. The GTX 760M’s slight lead does not translate into a practical advantage for most workloads.
vs. AMD Radeon HD 8570M: The Quadro 4000M posts a 0.6% higher score than the Radeon HD 8570M (5,212 vs. 5,183). This is a marginal lead, again within the noise band. The two GPUs are effectively tied, despite their different architectures and vendors.
vs. AMD Radeon R7 M260X: Similarly, the Quadro 4000M is 0.6% ahead of the Radeon R7 M260X (5,212 vs. 5,179). The performance gap is trivial, reinforcing the conclusion that all four rivals occupy the same performance tier. The Quadro 4000M’s position in this cluster is consistent with its mid-range professional status.
FAQ
Q: What is the Geekbench OpenCL score of the NVIDIA Quadro 4000M?
A: The Quadro 4000M scores 5,212 in the Geekbench OpenCL benchmark, placing it in the 29th percentile of all GPUs.
Q: How much memory bandwidth does the Quadro 4000M have?
A: It has a memory bandwidth of 80.00 GB/s, achieved via 2 GB of GDDR5 on a 256-bit bus with a 625 MHz memory clock (2.5 Gbps effective).
Q: What is the transistor count and die size?
A: The chip contains 1,950 million transistors on a 332 mm² die, fabricated on a 40 nm process by TSMC, with a transistor density of 5.9M per mm².
Q: Does the Quadro 4000M support ray tracing?
A: No. The data lists no ray tracing cores or tensor cores, so hardware-accelerated ray tracing is not supported. The GPU does support DirectX 12 (11_0) and OpenGL 4.6.
Q: What is the TDP and form factor?
A: The TDP is 100 W, and the slot width is MXM Module. It uses an MXM-B (3.0) bus interface and has no power connectors.
Q: When was the Quadro 4000M released?
A: It was released on 2011-02-21, and its production status is end-of-life. Its predecessor is the Quadro FX Mobile and its successor is the Quadro Kepler-M.
Ray Tracing and Feature Set
The Quadro 4000M does not include any dedicated ray tracing cores or tensor cores, as indicated by the null values in the fact pack. Consequently, any ray tracing workload would have to rely on software emulation or compute shaders, which is not a practical approach for real-time rendering. The GPU’s feature set is defined by its Fermi architecture and its API support. It supports DirectX 12 (11_0), which is notable because DirectX 12 is a modern API, but the (11_0) suffix indicates the feature level is limited to DirectX 11.0 capabilities. OpenGL 4.6 is also supported, which is a current version. Vulkan support is not listed, so it cannot be assumed. The display outputs are listed as “Portable Device Dependent,” meaning the actual connectors vary by laptop implementation. Power is supplied through the MXM slot, with no additional power connectors required. The TDP of 100 W is a moderate figure for a mobile GPU, reflecting the balance between performance and thermal constraints. The absence of RT and tensor cores is a clear limitation for modern workloads, but for the intended professional applications of the early 2010s, the feature set was adequate. The GPU’s end-of-life status and 2011 release date further underscore its legacy position in the market.
Detailed benchmark scores and charts for the NVIDIA Quadro 4000M are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro 4000M handles parallel computing tasks like video encoding and scientific simulations.
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