NVIDIA Quadro K610M
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Quadro K610M Specifications
Quadro K610M GPU Core
Shader units and compute resources
The NVIDIA Quadro K610M 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 K610M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Quadro K610M'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 K610M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Quadro K610M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro K610M'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 K610M by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Quadro K610M, 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 K610M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro K610M 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.
Kepler 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA Quadro K610M is built on NVIDIA's Kepler 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 K610M will perform in GPU benchmarks compared to previous generations.
NVIDIA's Quadro K610M Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Quadro K610M 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 K610M to maintain boost clocks without throttling.
Quadro K610M by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Quadro K610M 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 K610M. 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 K610M Product Information
Release and pricing details
The NVIDIA Quadro K610M 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 K610M by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Quadro K610M Benchmark Scores
geekbench_metalSource
Geekbench Metal tests GPU compute using Apple's Metal API. This shows how NVIDIA Quadro K610M performs in macOS and iOS applications that leverage GPU acceleration. Metal provides low-overhead access to Apple silicon GPUs.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro K610M handles parallel computing tasks like video encoding and scientific simulations.
Top 5 Performers
Nearby Performers
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA Quadro K610M performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
Top 5 Performers
Nearby Performers
About NVIDIA Quadro K610M
NVIDIA’s Quadro K610M is a 28 nm Kepler-generation mobile workstation GPU built around the GK208 chip, featuring 192 shading units, 16 texture mapping units, and 8 raster output pipelines. Its average benchmark score of 1671 places it in the 9th percentile of all GPUs, indicating entry-level performance aimed at portability and basic professional tasks rather than heavy compute. The GPU operates at a fixed 954 MHz base and boost clock, with 1024 MB of GDDR5 memory on a 64-bit bus delivering 20.80 GB/s of bandwidth. Peak theoretical rates include 3.816 GPixel/s pixel fill, 15.26 GTexel/s texture fill, and 366.3 GFLOPS of FP32 compute. The card is an MXM Module with MXM-A (3.0) bus interface, requires no power connectors, and carries a 30 W TDP, making it suitable for thin-and-light mobile workstations.
Benchmark Performance
The Quadro K610M’s average benchmark score of 1671 is a modest figure, and the data shows it sits at the 9th percentile overall, meaning roughly 91% of all GPUs in the database outperform it. Breaking down individual workloads, the GPU scores 1150 in Geekbench Metal, 1996 in Geekbench OpenCL, and 1867 in Geekbench Vulkan. The OpenCL result is notably stronger than the Metal score, suggesting that compute-heavy OpenCL workloads are relatively better served than Apple-centric Metal tasks, though both remain firmly in entry-level territory.
Against its nearest rivals, the K610M’s aggregate performance is nearly identical to two NVIDIA consumer parts: it edges the GeForce 810M by 0.3% (1671 vs. 1666) and the GeForce GT 710 by the same 0.3% margin (1671 vs. 1665). These deltas are within noise, indicating that for raw compute, the K610M offers no measurable advantage over these budget GeForce chips. The picture changes slightly when compared to AMD’s Radeon 550, which posts an average score of 1707, the K610M trails by 2.1%, a small but consistent deficit. Conversely, the K610M leads its direct predecessor-class sibling, the Quadro K1000M, by 2.4% (1671 vs. 1632), showing a modest generational uplift within the Quadro mobile lineup.
Interpreting the scores, the K610M’s performance profile is characterized by low absolute throughput, the 366.3 GFLOPS FP32 figure and 20.80 GB/s memory bandwidth constrain it to light workloads. The 2.1% gap to the Radeon 550, while small, is consistent across the average, and the 2.4% lead over the K1000M suggests that the K610M is a mild upgrade for users coming from that older Quadro part. However, the near-tie with the GeForce 810M and GT 710 underscores that the K610M’s value lies not in speed but in its professional feature set and low power envelope.
How It Compares
NVIDIA GeForce 810M (avg score 1666, delta +0.3%): The K610M is statistically indistinguishable from the 810M in average benchmark performance, with just a 0.3% margin. For compute tasks, these two GPUs are effectively equals, meaning users should base any choice on factors like driver certification or display support rather than raw speed. The K610M’s Quadro drivers and workstation validation are its differentiators, not performance.
NVIDIA GeForce GT 710 (avg score 1665, delta +0.3%): Similar to the 810M, the GT 710 sits 0.3% behind the K610M in average score. This is a negligible difference, and benchmark results indicate the K610M does not outclass this entry-level desktop part in raw throughput. The K610M’s advantage is its mobile MXM form factor and 30 W TDP, which are irrelevant for desktop GT 710 users but critical for laptop integration.
AMD Radeon 550 (avg score 1707, delta -2.1%): The K610M trails the Radeon 550 by 2.1%, a small but real margin. This means the AMD part holds a consistent edge in average compute performance, likely due to higher memory bandwidth or shader throughput. For users comparing these two, the Radeon 550 offers slightly better raw numbers, though the K610M counters with a lower TDP and the Quadro software ecosystem.
NVIDIA Quadro K1000M (avg score 1632, delta +2.4%): The K610M leads its older Quadro sibling by 2.4%, a modest but measurable improvement. This indicates that within the same professional lineup, the K610M delivers a tangible, if small, performance uplift over the K1000M. For existing K1000M users, upgrading to the K610M yields a slight compute boost without a major change in power characteristics.
Who Should Consider It
The K610M is suited for users whose primary need is a low-power, mobile workstation GPU for basic 3D CAD, light photo editing, or 2D professional applications, not for gaming or high-end rendering. Given its 9th percentile ranking and 366.3 GFLOPS FP32 throughput, benchmark data suggests it handles 1080p resolution at low to medium settings in older or non-demanding titles, but modern games at high settings are out of reach. For OpenCL-accelerated tasks, the 1996 Geekbench OpenCL score indicates acceptable performance for simple compute workloads, while the 1150 Metal score points to weaker macOS-oriented performance.
Users running professional software that leverages Quadro-specific driver optimizations, such as certified ISV applications, will find the K610M viable for 2D layouts, spreadsheet-heavy dashboards, and basic 3D navigation. The 1024 MB memory capacity is a limiting factor for large textures or multi-monitor setups, so it is best paired with compact projects. Conversely, the Radeon 550’s 2.1% average score advantage makes it a slightly better choice for pure compute workloads if driver certification is not a concern. The K610M is not recommended for 4K output, complex simulations, or GPU-accelerated machine learning, as its 20.80 GB/s bandwidth and 192 shading units are insufficient for such tasks.
FAQ
Q: How does the Quadro K610M perform in Geekbench Metal versus OpenCL?
A: The K610M scores 1150 in Geekbench Metal and 1996 in Geekbench OpenCL, indicating that OpenCL compute workloads are processed roughly 73% faster than Metal-based tasks in this benchmark.
Q: Is the Quadro K610M faster than the GeForce GT 710?
A: The average benchmark scores are nearly identical: the K610M posts 1671 while the GT 710 scores 1665, giving the K610M a 0.3% lead that is effectively a statistical tie.
Q: What is the performance gap between the K610M and the Quadro K1000M?
A: The K610M’s average score of 1671 is 2.4% higher than the K1000M’s 1632, showing a modest performance improvement for the newer part.
Q: Does the K610M support Vulkan and DirectX 12?
A: Yes, the GPU lists Vulkan 1.2.175 and DirectX 12 (11_0) support, along with OpenGL 4.6, making it compatible with modern API standards, though performance will be limited by its low compute throughput.
Q: What is the average benchmark score and percentile of the K610M?
A: The K610M has an average benchmark score of 1671 and sits in the 9th percentile of all GPUs, meaning it outperforms only a small fraction of the database.
Q: How does the K610M compare to the AMD Radeon 550?
A: The Radeon 550 has an average score of 1707, which is 2.1% higher than the K610M’s 1671, indicating a slight performance advantage for the AMD part in aggregate benchmarks.
Power and Cooling
The Quadro K610M is specified with a 30 W TDP, making it a very low-power GPU suited for thin mobile workstations. It uses an MXM Module slot width with an MXM-A (3.0) bus interface, and it requires no power connectors, power is drawn entirely from the MXM slot. The fact pack lists no suggested PSU rating, which is consistent with a mobile GPU that relies on the host laptop’s power delivery rather than a separate desktop power supply. For thermal management, the 30 W envelope means a capable air cooler is sufficient; the card’s 28 nm process and 1,020 million transistors on an 87 mm² die (11.7M transistors per mm²) help keep heat output low. Display outputs are portable-device dependent, so cooling and connectivity are dictated by the host system’s design. Given its end-of-life production status and 2013 release, users should ensure proper driver support for their specific OS, but the low TDP and connectorless design make integration straightforward for compatible MXM-A systems.
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