AMD Radeon HD 6310 IGP
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Radeon HD 6310 IGP Specifications
Radeon HD 6310 IGP GPU Core
Shader units and compute resources
The AMD Radeon HD 6310 IGP 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.
HD 6310 IGP Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon HD 6310 IGP'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 Radeon HD 6310 IGP by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon HD 6310 IGP Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon HD 6310 IGP'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.
HD 6310 IGP Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon HD 6310 IGP 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.
TeraScale 2 Architecture & Process
Manufacturing and design details
The AMD Radeon HD 6310 IGP is built on AMD's TeraScale 2 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 HD 6310 IGP will perform in GPU benchmarks compared to previous generations.
AMD's Radeon HD 6310 IGP Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon HD 6310 IGP 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 Radeon HD 6310 IGP to maintain boost clocks without throttling.
Radeon HD 6310 IGP by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon HD 6310 IGP 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.
AMD API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the AMD Radeon HD 6310 IGP. 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.
Radeon HD 6310 IGP Product Information
Release and pricing details
The AMD Radeon HD 6310 IGP is manufactured by AMD 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 Radeon HD 6310 IGP by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon HD 6310 IGP Benchmark Scores
No benchmark data available for this GPU.
About AMD Radeon HD 6310 IGP
The AMD Radeon HD 6310 IGP is a TeraScale 2 integrated graphics processor built on the Loveland chip. Fabricated on a 40 nm TSMC process, it packs 450 million transistors into a 75 mm² die, yielding a transistor density of 6.0M per mm². Released on 2010-11-08, this part is now end-of-life, sitting between the TeraScale IGP and the TeraScale 3 IGP in the product lineage. The database lists no benchmark scores for this unit, and its average benchmark score is 0, yet it holds a 50th percentile position across all GPUs, indicating a median standing in the absence of measured performance.
Benchmark Performance
The most striking aspect of the HD 6310 IGP's data profile is the absence of any recorded benchmark scores. The avgBenchmarkScore is 0, and the benchmarks array is empty. This does not mean the GPU is non-functional; rather, it indicates that no standardized benchmark results have been ingested for this specific part. Consequently, the only performance-related metric available is the percentileVsAllGpus value of 50. This percentile places the HD 6310 IGP exactly at the median, outperforming half of the GPUs tracked and being outperformed by the other half.
A percentile without a score is a positional statement, not a performance figure. To understand theoretical capabilities, we examine the raw throughput metrics. The GPU contains 80 shading units, 8 texture mapping units (TMUs), and 4 render output units (ROPs). From these, the pixel rate is 1.952 GPixel/s, the texture rate is 3.904 GTexel/s, and the FP32 compute throughput is 78.08 GFLOPS. These numbers represent the maximum theoretical output at the base clock, which is not specified. The FP32 figure of 78.08 GFLOPS is modest, indicating a part designed for basic graphical output rather than heavy compute workloads.
The pixel rate of 1.952 GPixel/s, derived from the 4 ROPs, limits the fill-rate. The texture rate of 3.904 GTexel/s, from 8 TMUs, constrains texture-heavy rendering. Because there are no nearest rivals listed, no direct percentage deltas can be computed against competing GPUs. The 50th percentile suggests a mid-pack standing, but without rival scores, we cannot state whether it is ahead of one part or behind another. The absence of rival data forces a reliance on theoretical rates as the sole quantitative descriptors of performance.
In the context of the database, the 50th percentile is a neutral indicator. It does not imply exceptional performance, nor does it indicate a bottom-tier part. Given the theoretical throughput, this position seems plausible for an IGP from the TeraScale 2 generation, but the lack of measured scores means the percentile is an unverified estimate. The data shows a low-throughput part, with its FP32 rate being a fraction of what contemporary discrete GPUs would offer, though no such rivals are named.
How It Compares
The nearestRivals field is empty. This means the database has not identified any specific GPUs to compare against the HD 6310 IGP. Without rival names, scores, or deltaPct values, any comparison to other hardware must remain qualitative. The only positional anchors are its predecessor, TeraScale IGP, and its successor, TeraScale 3 IGP. The HD 6310 IGP sits between these two generations. The predecessor and successor are not benchmarked in this dataset, so we cannot quantify the generational leap.
The 50th percentile vs all GPUs is the sole comparative metric. It tells us that the HD 6310 IGP is positioned at the median of the entire GPU population in the database. However, because the database does not list any rivals, we cannot say which specific GPUs it beats or loses to. The data implies a middling position, but the lack of a rival list means no concrete statements about relative performance against named competitors are possible.
Given the TeraScale 2 architecture and the 40 nm process, the HD 6310 IGP is an older part. Its 18 W TDP indicates a low-power design, typical of integrated graphics for portable devices. The generation field labels it as "TeraScale 2 IGP (Palm Mobile)", suggesting it was intended for mobile or compact systems. Compared to its predecessor, TeraScale IGP, it likely offers improved features and efficiency, but without data on the predecessor's specs, this remains an inference from the naming convention. The successor, TeraScale 3 IGP, would presumably offer further improvements, but again, no data is provided.
In the absence of nearest rivals, the analysis must rely on the architecture and the percentile. The 50th percentile is a neutral placement. It does not suggest a dominant or a weak part; it suggests a typical mid-range IGP. The lack of benchmark scores and rival data is a limitation, but it does not prevent a discussion of theoretical capabilities based on the raw hardware metrics.
Ray Tracing and Feature Set
The HD 6310 IGP has no dedicated ray tracing cores. The rtCores field is null, indicating that this hardware does not support ray tracing acceleration. Similarly, tensor cores are absent, with the tensorCores field also null. This is expected for a TeraScale 2 architecture, which predates the introduction of dedicated RT and tensor hardware in GPUs. The architecture relies on traditional shader-based rendering.
The API support is limited to DirectX 11.2 (11_0) and OpenGL 4.4. The Vulkan API is not supported, as the vulkan field is null. DirectX 11.2 (11_0) indicates that the GPU supports the DirectX 11 feature level 11_0. This includes support for tessellation, compute shaders, and other DirectX 11 features. OpenGL 4.4 support allows for compatibility with a range of applications. The absence of Vulkan means that modern cross-platform applications relying on Vulkan will not run on this GPU.
The feature set is characteristic of its era. Released in November 2010, the HD 6310 IGP was designed before ray tracing became a standard feature. The lack of RT and tensor cores means that any workload requiring those features is unsupported. The 80 shading units handle all compute and graphics tasks, with no specialized hardware for acceleration. The FP32 rate of 78.08 GFLOPS is the total compute throughput, shared across all shader operations.
The DirectX 11.2 (11_0) support is notable, as it allows the GPU to run games and applications that require DirectX 11. However, the absence of Vulkan limits compatibility with newer titles that have dropped DirectX 11 support. The OpenGL 4.4 support provides a fallback. Overall, the feature set is adequate for its time but lacks modern acceleration technologies. The data shows no ray tracing or tensor capabilities, and the API list is fixed to the specified versions.
Who Should Consider It
The HD 6310 IGP is an integrated graphics processor, as indicated by its slot width of IGP. Its display outputs are described as "Portable Device Dependent", meaning it is designed for laptops or other portable systems. The TDP is 18 W, which is low, making it suitable for power-constrained devices. The production status is end-of-life, so it is only relevant for legacy systems or as a reference point.
Given the theoretical throughput of 78.08 GFLOPS FP32, 1.952 GPixel/s pixel rate, and 3.904 GTexel/s texture rate, this GPU is suited for basic graphical tasks. It is not designed for high-end gaming or compute workloads. The 50th percentile ranking suggests a mid-tier part, but without benchmark scores, we cannot recommend specific resolutions or settings. The raw numbers indicate it would struggle with modern, demanding games. The pixel rate of 1.952 GPixel/s limits the fill-rate, critical at high resolutions. At lower resolutions, the load is reduced, but the GPU's capabilities remain modest.
The memory subsystem is system shared, meaning it uses the host system's RAM. The bandwidth is "System Dependent", so performance will vary significantly based on the system's memory configuration. This dependency means the GPU's performance is not fixed; it is tied to the rest of the system. For users with a system that has fast memory, the GPU might perform better, but the data does not specify any memory speeds.
This GPU is appropriate for users who need basic display output for office work, web browsing, or light media playback. It is not suited for gaming at high settings or resolutions. The lack of ray tracing and tensor cores further limits its use in modern applications that rely on these features. The DirectX 11.2 (11_0) and OpenGL 4.4 support allow for older games and applications, but the absence of Vulkan is a drawback. In summary, the HD 6310 IGP is a low-power, entry-level IGP for legacy portable systems, with performance characteristics that place it at the median of the database but with no measured scores to confirm real-world behavior.
Memory Subsystem
The memory subsystem of the HD 6310 IGP is entirely system shared. The memory size, type, and bus width are all listed as "System Shared". This means the GPU does not have dedicated VRAM; it relies on the host system's main memory for all graphics data. The bandwidth is listed as "System Dependent", indicating that the effective bandwidth is not a fixed specification but depends on the system's memory controller and RAM configuration.
This design has significant implications for performance. Because the GPU shares memory with the CPU, the available bandwidth is limited by the system's memory bus. A system with a single-channel, slow memory configuration will provide lower bandwidth than one with dual-channel, faster memory. The data does not specify any particular memory speed or bus width, so the exact bandwidth cannot be quantified. The "System Dependent" label is a placeholder for this variability.
For high resolutions, a shared memory subsystem is a bottleneck. High resolutions require larger framebuffers and higher bandwidth to move pixel data. The pixel rate of 1.952 GPixel/s is the maximum rate at which the ROPs can output pixels, but this rate is only achievable if the memory can supply the necessary data. With a shared memory system, the bandwidth is often insufficient to sustain high resolutions at high refresh rates. The 4 ROPs further limit the fill-rate, making high resolutions particularly challenging.
The absence of dedicated VRAM also means that the GPU competes with the CPU for memory bandwidth. This contention can reduce overall system performance, especially in memory-intensive tasks. The memory type being "System Shared" means there is no separate pool of high-speed VRAM like GDDR5 or GDDR6. Instead, the GPU uses standard system RAM, which is typically slower and has higher latency. The bus width is also system shared, so the effective bus width is whatever the system's memory bus provides.
In summary, the memory subsystem is a critical limiting factor. The system-dependent bandwidth and shared nature mean that performance is highly variable and generally lower than what a discrete GPU with dedicated VRAM would offer. For high resolutions, the combination of a low pixel rate and a shared, system-dependent memory bandwidth makes the HD 6310 IGP unsuitable for demanding visual workloads. The data provides no fixed bandwidth figure, only the "System Dependent" descriptor, which underscores the reliance on the host platform.
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