NVIDIA Quadro 4000
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Quadro 4000 Specifications
GPU Core
Shader units and compute resources
The NVIDIA Quadro 4000 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 4000 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Quadro 4000'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 4000 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Quadro 4000 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro 4000'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 4000 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Quadro 4000, 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 4000 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro 4000 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 4000 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 4000 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Quadro 4000 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 4000 to maintain boost clocks without throttling.
Quadro 4000 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Quadro 4000 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 4000. 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 4000 Product Information
Release and pricing details
The NVIDIA Quadro 4000 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 4000 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 4000
Launched in late 2010 for the professional workstation market, the NVIDIA Quadro 4000 is a Fermi-architecture card built on TSMC's 40 nm process. With 3,100 million transistors on a 529 mm² die, this single-slot card was designed for CAD, DCC, and scientific visualization. Benchmark results place it at the 28th percentile of all GPUs, indicating that while it is far from modern performance levels, it remains a functional entry point for legacy professional workloads. The following analysis examines its position against direct contemporaries, its feature set, and the practical implications of its specifications.
How It Compares
The Quadro 4000's closest rival is the AMD Radeon HD 8670M, which averages 5,012 points in Geekbench OpenCL. The Quadro trails by a mere 0.2%, a statistically negligible margin. This effectively places the two cards at performance parity, despite the Quadro being a desktop workstation part and the Radeon being a mobile chip. The data suggests that in raw compute throughput, the architectural advantages of Fermi have been fully eroded by the efficiency of younger mobile silicon.
Against the AMD Radeon R5 M430, the Quadro 4000 holds a 0.4% lead, with the Radeon scoring 4,981. This is another near-identical result, reinforcing the notion that the Quadro 4000's compute capability sits in a very narrow band around the 5,000-point mark. The delta is small enough to be considered noise, yet it consistently favors the Quadro by a hair.
The AMD Radeon R7 M360 also scores 4,978, putting the Quadro 0.4% ahead. This pattern of sub-1% margins across all rivals indicates that the Quadro 4000 is not meaningfully faster or slower than any of these parts; it simply occupies the same performance tier. The consistency of these results is notable, as it suggests a performance ceiling shared across architectures and market segments.
The Intel HD Graphics 630, an integrated solution, scores 4,977, with the Quadro leading by 0.5%. This is the largest margin in the rival group, yet it remains trivial in absolute terms. The implication is that a modern integrated GPU can match a professional workstation card from 2010 in OpenCL compute, which underscores how far the low end has advanced.
Ray Tracing and Feature Set
The Quadro 4000 is built on the Fermi architecture and contains no dedicated ray tracing cores and no tensor cores. Its feature set is rooted in the compute and graphics capabilities of 2010-era GPUs. The card supports DirectX 12 (11_0) and OpenGL 4.6, providing broad API compatibility for legacy applications. Vulkan support is absent, which limits its usefulness in modern cross-platform titles and compute frameworks that rely on this API.
The absence of hardware ray tracing means that any ray-traced workloads would fall back to compute shaders, a method that is significantly slower and not supported in most professional applications of the era. For users evaluating this card today, the lack of RT and tensor cores is a fundamental limitation, as modern rendering pipelines and AI-accelerated tasks cannot leverage any specialized hardware. The card's professional positioning at launch relied on certified drivers and ECC memory, though the latter is not specified in the data, rather than on hardware-accelerated novel features.
Display output is limited to 1x DVI and 2x DisplayPort, which is adequate for multi-monitor workstation setups but lacks modern connectivity options like HDMI 2.1 or USB-C. The bus interface is PCIe 2.0 x16, which is backward compatible with modern slots but offers lower bandwidth than PCIe 4.0 or 5.0, potentially bottlenecking data transfers in memory-intensive tasks.
Benchmark Performance
In Geekbench OpenCL, the Quadro 4000 scores 5,000 points. This places it at the 28th percentile of all GPUs, meaning 72% of tested devices perform better. The data shows a tightly clustered rival group, with all four competitors within a 35-point range (4,977 to 5,012). The Quadro's position is essentially dead center of this cluster.
The deltaPct values reveal the narrow margins: -0.2% against the Radeon HD 8670M, and +0.4% against both the R5 M430 and R7 M360, and +0.5% against the Intel HD 630. These are not meaningful performance differences in real-world terms; they are within run-to-run variance. The takeaway is that the Quadro 4000 offers compute performance indistinguishable from these rivals, which is a sobering result for a card that was once a high-end workstation product.
The texture rate is 15.20 GTexel/s, and the pixel rate is 7.600 GPixel/s, figures that were competitive in 2010 but are now dwarfed by integrated graphics. The FP32 throughput of 486.4 GFLOPS is the headline compute number, yet it translates to only a 5,000 OpenCL score, confirming that modern drivers and architectures extract far more performance per FLOP. For professional workloads that rely on OpenCL, this card will struggle with modern datasets, but it remains usable for lightweight or legacy tasks.
Who Should Consider It
Given its 28th percentile ranking and OpenCL score of 5,000, the Quadro 4000 is only suitable for users with very specific legacy needs. At 1080p resolution, the card can handle older CAD applications and 2D design work, where pixel rate and texture rate are sufficient. However, for any modern 3D rendering or simulation at 1080p, the performance will be marginal.
At 1440p or higher, the 2 GB GDDR5 memory and 89.86 GB/s bandwidth become a significant bottleneck. The data suggests that users attempting high-resolution professional visualization will see severe frame rate drops and long computation times. The card is best suited for secondary display output, basic office productivity, or running software that requires a Quadro-certified driver but has minimal GPU demands.
Enthusiasts building a retro workstation or testing legacy Fermi-era software may find value, provided they accept the 28th percentile performance. It is not viable for gaming, as modern titles require more VRAM and higher compute throughput. The 0.5% lead over Intel HD Graphics 630 demonstrates that even the most basic modern iGPU matches this card, so users with any newer hardware already have equivalent or better performance.
FAQ
Q: How does the Quadro 4000 compare to the AMD Radeon HD 8670M?
A: The Quadro 4000 scores 5,000, while the Radeon HD 8670M scores 5,012, resulting in the Quadro being 0.2% slower. This is a negligible difference, indicating performance parity.
Q: Does the Quadro 4000 support hardware ray tracing?
A: No. The card has no RT cores or tensor cores, and its Fermi architecture predates dedicated ray tracing hardware. Any ray tracing would have to be done via compute shaders, which is impractical.
Q: What is the memory configuration of the Quadro 4000?
A: It features 2 GB of GDDR5 memory on a 256-bit bus, delivering 89.86 GB/s of bandwidth. This is sufficient for 1080p legacy workloads but limiting for high-resolution textures.
Q: What APIs does the Quadro 4000 support?
A: It supports DirectX 12 (11_0) and OpenGL 4.6. Vulkan is not supported, which restricts compatibility with modern cross-platform applications.
Q: How does the Quadro 4000 fare against the Intel HD Graphics 630?
A: The Quadro leads by 0.5%, with scores of 5,000 versus 4,977. This margin is trivial, showing that a modern integrated GPU is essentially equivalent in OpenCL performance.
Q: Is the Quadro 4000 suitable for modern professional workloads?
A: No. Its 28th percentile ranking and 486.4 GFLOPS FP32 performance place it far below current entry-level hardware, making it only viable for legacy software or basic display tasks.
Memory Subsystem
The Quadro 4000 is equipped with 2 GB of GDDR5 memory, a capacity that was generous in 2010 but is now considered minimal. The 256-bit memory interface provides a bandwidth of 89.86 GB/s, which is derived from a memory clock of 702 MHz (2.8 Gbps effective). This bandwidth is a critical limiting factor for high-resolution workloads, as modern GPUs typically exceed 200 GB/s even at the entry level.
For professional applications that handle large textures, point clouds, or scientific datasets, the 2 GB capacity will cause frequent out-of-memory errors or forced fallbacks to system memory, which severely impacts performance. At 1080p, the bandwidth is adequate for simple CAD and 2D tasks, but at 1440p or 4K, the data throughput becomes a bottleneck. The pixel rate of 7.600 GPixel/s and texture rate of 15.20 GTexel/s are also constrained by this memory subsystem, meaning that fill-rate-bound operations will see diminishing returns as resolution scales.
The 89.86 GB/s figure places the Quadro 4000 in the same league as the integrated graphics in its rival group, which is why the benchmark scores are so closely clustered. Users requiring large memory pools for GPU compute should look elsewhere, as this card's memory subsystem was designed for a different era of workstation software.
Power and Cooling
The Quadro 4000 has a thermal design power (TDP) of 142 W, which is modest by modern standards but notable for a single-slot card of its generation. The suggested power supply is 300 W, a figure that is easily met by virtually any contemporary PSU, but the requirement for a single 6-pin power connector must be checked against available cables. The card's physical dimensions are 241 mm in length (9.5 inches), 111 mm in height (4.4 inches), and 20 mm in width (0.8 inches), fitting it into a single-slot bracket.
Cooling is handled by a blower-style cooler, as implied by the single-slot design, which exhausts hot air outside the chassis. This is beneficial for multi-GPU or densely packed systems. The 142 W TDP means that the card does not require exotic cooling, and a standard case fan configuration should suffice. Given its end-of-life status, thermal performance may degrade over time due to dried thermal paste, but the low power draw keeps temperatures manageable.
The power connector requirement of 1x 6-pin is straightforward, and the 300 W PSU recommendation suggests this card is not power-hungry. For users integrating this into a modern system, the main consideration is not power delivery but rather the PCIe 2.0 interface, which is older and slower than current standards. The data indicates a modest power footprint, making it an easy addition to any system with a free 6-pin connector and a single slot.
Detailed benchmark scores and charts for the NVIDIA Quadro 4000 are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro 4000 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
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