NVIDIA Tesla M6 Mobile
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla M6 Mobile Specifications
GPU Core
Shader units and compute resources
The NVIDIA Tesla M6 Mobile 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.
Tesla M6 Mobile Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla M6 Mobile'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 Tesla M6 Mobile by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla M6 Mobile Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla M6 Mobile'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.
Tesla M6 Mobile by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla M6 Mobile, 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.
Tesla M6 Mobile Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla M6 Mobile 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.
Maxwell 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA Tesla M6 Mobile 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 Tesla M6 Mobile will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla M6 Mobile 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 Tesla M6 Mobile to maintain boost clocks without throttling.
Tesla M6 Mobile by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla M6 Mobile 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 Tesla M6 Mobile. 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.
Tesla M6 Mobile Product Information
Release and pricing details
The NVIDIA Tesla M6 Mobile 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 Tesla M6 Mobile by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA Tesla M6 Mobile
The NVIDIA Tesla M6 Mobile is a professional-grade graphics module built on the 28 nm Maxwell 2.0 architecture, featuring the GM204 chip with 5,200 million transistors on a 398 mm² die. With a 50th percentile ranking among all GPUs and a compute capability of 3.625 TFLOPS FP32, this end-of-life product offers a balanced, if dated, feature set for mobile workstations. Its performance profile is defined by a 930 MHz base clock and 1180 MHz boost clock, coupled with 8 GB of GDDR5 memory on a 256-bit bus. The following analysis details its comparative standing, power requirements, and suitability for specific workloads based exclusively on the provided data.
How It Compares
The FACT PACK provides no nearest rival data for the Tesla M6 Mobile, leaving its competitive landscape undefined by direct numerical comparison. However, the 50th percentile ranking across all GPUs establishes a clear baseline: this is a median performer, neither a flagship nor an entry-level part. Without rival scores or delta percentages, the M6's position must be inferred from its absolute specifications, which indicate a design aimed at professional mobile rendering rather than raw gaming throughput.
In the absence of named competitors, the Tesla M6 Mobile's closest conceptual comparison is to other mobile workstation GPUs of its era, though no specific data is available. The data shows a configuration of 1536 shading units, 96 texture mapping units, and 64 ROPs, which produces a texture rate of 113.3 GTexel/s and a pixel rate of 75.52 GPixel/s. These figures suggest it was positioned to handle moderate professional workloads, but the lack of rival data prevents any quantitative verdict on its standing within its own market segment.
The production status is end-of-life, and the product's predecessor and successor are listed as Tesla Kepler and Tesla Pascal, respectively. This places the M6 within the Maxwell generation, a mid-point in NVIDIA's professional line that has since been superseded. Benchmark results, where available, would be necessary to establish exact deltas against successors, but the provided information confirms a generational step from Kepler and a clear transition toward the more efficient Pascal architecture.
Power and Cooling
The Tesla M6 Mobile has a thermal design power (TDP) of exactly 100 W, a figure that defines its cooling and power delivery requirements within a mobile chassis. The module uses an MXM form factor, which means it relies on the host laptop's cooling solution rather than an integrated cooler; the slot width is listed simply as "MXM Module." No dedicated power connectors are required, as the board draws power through the MXM interface, and the fact pack lists the power connector requirement as "None."
There is no suggested PSU wattage provided in the data, so any recommendation would be speculative. The absence of a PSU figure is typical for mobile modules, as power delivery is managed by the laptop's internal power system rather than an external supply. The 100 W TDP, however, indicates that the host system must be designed to dissipate this level of heat, making it suitable for larger mobile workstations with robust thermal solutions. The process node of 28 nm, produced by TSMC, contributes to this power envelope, and the transistor density of 13.1M per mm² reflects the manufacturing technology of the time.
Benchmark Performance
The benchmark section in the FACT PACK is empty, with no scores or average benchmark data provided. The only performance indicator available is the fp32 compute rating of 3.625 TFLOPS, which serves as a raw measure of single-precision floating-point throughput. This figure, combined with the 50th percentile ranking, suggests that the M6 delivers mid-tier computational performance in the broader GPU landscape.
The texture rate of 113.3 GTexel/s and pixel rate of 75.52 GPixel/s provide additional context for rendering workloads. These rates are direct results of the 96 TMUs and 64 ROPs operating at the boost clock of 1180 MHz. In the absence of rival comparisons, these numbers stand alone, but they indicate a capability for handling textures and pixels at a rate consistent with a professional mobile GPU of the Maxwell generation. The lack of benchmark scores means that no percentage deltas can be calculated, and any claim of being "30% faster" would be impossible to substantiate from the given data.
FAQ
Q: What is the memory bandwidth of the NVIDIA Tesla M6 Mobile?
A: The memory bandwidth is 160.4 GB/s, achieved through 8 GB of GDDR5 memory on a 256-bit bus with a memory clock of 1253 MHz, running at 5 Gbps effective.
Q: Does the Tesla M6 Mobile support hardware ray tracing?
A: No. The FACT PACK lists no RT cores for this GPU, and the architecture is Maxwell 2.0, which predates dedicated ray tracing hardware. Ray tracing, if supported, would rely on software methods rather than dedicated cores.
Q: What APIs does the Tesla M6 Mobile support?
A: The GPU supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, according to the provided data.
Q: What is the thermal design power (TDP) of this GPU?
A: The TDP is exactly 100 W. The module requires no external power connectors and draws power through its MXM interface.
Q: Is the Tesla M6 Mobile still in production?
A: No. The production status is listed as "End-of-life," and the release date was August 29, 2015.
Q: What is the pixel fill rate of the Tesla M6 Mobile?
A: The pixel rate is 75.52 GPixel/s, and the texture rate is 113.3 GTexel/s, based on the 64 ROPs and 96 TMUs running at the boost clock.
Ray Tracing and Feature Set
The Tesla M6 Mobile does not include dedicated ray tracing cores, as the FACT PACK lists no RT cores for this GPU. Similarly, no tensor cores are present, which means the card lacks the specialized hardware for AI-accelerated workloads found in later architectures. The feature set is defined by the Maxwell 2.0 architecture, which supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, covering the standard graphics APIs of its generation.
The absence of RT and tensor cores positions this GPU as a traditional rasterization-focused part. For professional applications, this means that any ray-traced rendering or machine learning inference would fall back to compute shaders or general-purpose FP32 operations, which are limited to 3.625 TFLOPS. The API support for Vulkan 1.4 and DirectX 12_1 ensures compatibility with modern graphics frameworks, but the hardware lacks the forward-looking features of the subsequent Pascal generation, which is listed as its successor.
Memory Subsystem
The memory subsystem of the Tesla M6 Mobile consists of 8 GB of GDDR5 memory connected via a 256-bit bus, producing a bandwidth of 160.4 GB/s. The memory clock is 1253 MHz, with an effective data rate of 5 Gbps. This configuration is substantial for a mobile professional GPU of its era, providing enough capacity for large datasets and textures commonly found in CAD, scientific visualization, and content creation workloads.
At high resolutions, the 8 GB capacity is a meaningful asset, as it allows for large frame buffers without spilling into system memory. The 160.4 GB/s bandwidth, however, is a limiting factor when compared to higher-end parts, as it constrains the speed at which textures and geometry data can be fed to the 1536 shading units. For 4K workloads, the capacity is sufficient, but the bandwidth may bottleneck performance in scenes with heavy texture streaming or high polygon counts. The 256-bit bus width is a balanced design choice, offering a middle ground between the narrower buses of entry-level cards and the wider configurations of flagship GPUs.
Who Should Consider It
The Tesla M6 Mobile is a 50th percentile performer with 3.625 TFLOPS of FP32 compute, making it a reasonable choice for users with moderate professional rendering needs at resolutions up to 1440p. The 8 GB VRAM is adequate for high-resolution textures, but the 160.4 GB/s bandwidth may struggle with the most demanding 4K workloads. Given its end-of-life status and 100 W TDP, it is best suited for legacy mobile workstations where a reliable, mid-range Maxwell GPU is required for CAD, 3D modeling, or GPU-accelerated compute tasks that do not require ray tracing.
Users considering this GPU for modern gaming should note the absence of RT cores and the dated architecture, which will limit performance in titles that leverage DirectX 12 Ultimate features. For professional applications that rely on OpenGL 4.6 or Vulkan 1.4, the M6 remains functional, but the lack of tensor cores makes it unsuitable for AI-accelerated workflows. The data indicates a card that was a competent mid-tier option in 2015, but its 50th percentile standing in the current GPU landscape confirms that it is now a legacy product, best deployed in systems that cannot accommodate newer, more power-hungry modules.
Detailed benchmark scores and charts for the NVIDIA Tesla M6 Mobile are below.
Benchmark Scores
No benchmark data available for this GPU.
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