AMD Radeon Vega 8
AMD graphics card specifications and benchmark scores
AMD Radeon Vega 8 Specifications
Radeon Vega 8 GPU Core
Shader units and compute resources
The AMD Radeon Vega 8 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.
Vega 8 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon Vega 8'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 Vega 8 by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon Vega 8 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon Vega 8'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.
Vega 8 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon Vega 8 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.
GCN 5.0 Architecture & Process
Manufacturing and design details
The AMD Radeon Vega 8 is built on AMD's GCN 5.0 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 Vega 8 will perform in GPU benchmarks compared to previous generations.
AMD's Radeon Vega 8 Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon Vega 8 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 Vega 8 to maintain boost clocks without throttling.
Radeon Vega 8 by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon Vega 8 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 Vega 8. 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 Vega 8 Product Information
Release and pricing details
The AMD Radeon Vega 8 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 Vega 8 by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon Vega 8 Benchmark Scores
geekbench_metalSource
Geekbench Metal tests GPU compute using Apple's Metal API. This shows how AMD Radeon Vega 8 performs in macOS and iOS applications that leverage GPU acceleration. Metal provides low-overhead access to Apple silicon GPUs. Creative applications on Mac heavily utilize Metal for rendering and video processing.
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD Radeon Vega 8 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how AMD Radeon Vega 8 performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL. Modern games and applications increasingly use Vulkan for cross-platform GPU acceleration.
About AMD Radeon Vega 8
The AMD Radeon Vega 8 graphics solution delivers a balanced blend of performance and power efficiency for compact platforms. Built on a 14 nm process, it integrates 8 compute units within the GCN 5.0 architecture to accelerate modern workloads. Its base clock of 300 MHz and boost frequency of up to 1.1 GHz provide sufficient headroom for light rasterization tasks. Memory is shared system RAM, allowing flexible allocation without dedicated VRAM constraints. With a TDP of 25 W, the chip is optimized for low‑profile designs and fan‑less implementations. These specifications position it as a viable option for entry‑level workstations and thin client environments.
In benchmark testing, the AMD Radeon Vega 8 GPU achieves 10,689 points in Metal, 8,822 in OpenCL, and 8,134 in Vulkan, reflecting its capability for contemporary graphics APIs. Frame‑rate measurements indicate comfortable performance at 1080p resolution for office productivity and media consumption workloads. Modern rendering features such as hardware‑accelerated decoding and Vulkan support enable smoother video playback and light 3D rendering. The shared memory model limits raw bandwidth compared to discrete solutions, yet it suffices for typical office applications and low‑intensity graphics. Power consumption remains well below 30 W, simplifying thermal design and reducing overall system cost. Consequently, the chip is best suited for environments where cost‑effectiveness and modest graphical demands dominate.
Vega 8 integrated graphics excel in scenarios that prioritize energy‑efficient processing over raw raster performance. They provide adequate frame rates for 4K video playback and multi‑monitor setups without dedicated graphics cards. Video memory is dynamically allocated from system RAM, supporting up
The NVIDIA Equivalent of Radeon Vega 8
Looking for a similar graphics card from NVIDIA? The NVIDIA GeForce RTX 2080 offers comparable performance and features in the NVIDIA lineup.
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