AMD Radeon Vega 8
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD 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
AMD Radeon Vega 8 is an integrated GPU built around the Raven chip and GCN 5.0 architecture, belonging to the Vega IGP (Raven Ridge) generation. It is fabricated by GlobalFoundries on a 14 nm process, with 4,940 million transistors on a 210 mm² die at a density of 23.5M / mm². The GPU comprises 512 shading units, 32 texture mapping units, and 8 ROPs. Base clock is 300 MHz and boost clock is 1100 MHz. Pixel fill rate is 8.800 GPixel/s, texture fill rate is 35.20 GTexel/s, FP32 throughput is 1,126.4 GFLOPS, and FP16 throughput is 2.253 TFLOPS (2:1). Released in 2018 and now marked end-of-life, it sits in the product lineage between GCN 3.0 IGP and Vega II IGP. Its average benchmark score is 9215, and it places at the 44th percentile against all tracked GPUs.
How It Compares
AMD Radeon RX 5500M. The nearest rival by average score is the RX 5500M at 9233. Vega 8's average of 9215 is 0.2% below that score. The gap is small enough that benchmark noise or system memory configuration can change the ordering.
NVIDIA Quadro K5000. The Quadro K5000 averages 9235, also 0.2% ahead of the Vega 8. This is another virtual tie. The Vega 8 reaches the same performance band using an integrated form factor rather than a discrete expansion product.
AMD Radeon R7 M380. The R7 M380 averages 9313, making it 1.1% higher than the Vega 8. This is the largest delta among the four nearest rivals, yet still a modest margin. The two parts should feel similar in GPU-bound tasks.
NVIDIA GeForce MX330. The MX330 averages 9108, placing it 1.2% behind the Vega 8. This is the only listed rival that the Vega 8 leads. The margin is small, but it confirms that the Vega 8 sits inside the same narrow performance cluster as these rivals.
Ray Tracing and Feature Set
The specification data lists no RT cores and no tensor cores for the Vega 8. There is, therefore, no dedicated ray tracing acceleration and no hardware tensor unit. The GPU's feature set is expressed through API support: DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3. These are modern API levels, but advanced hardware acceleration is not backed by fixed-function RT or tensor blocks.
Compute rates provide some context. FP32 throughput is 1,126.4 GFLOPS, while FP16 throughput is 2.253 TFLOPS at a 2:1 rate. This allows conventional shader and general-purpose compute work. The absence of tensor cores means AI-style operations lack hardware acceleration and would fall back to shader or compute paths. The DirectX 12 (12_1) feature level indicates a capable but not current top-tier API tier.
Memory Subsystem
Memory size, type, bus width, and clock are all listed as "System Shared". The Vega 8 has no dedicated VRAM. Bandwidth is marked "System Dependent", so the memory interface is whatever the host platform provides. This makes memory performance a platform attribute rather than a fixed GPU specification.
For high-resolution rendering, the shared memory path is a limiting factor. The CPU and GPU contend for the same memory controller, and effective bandwidth can vary significantly depending on the host memory configuration. The lack of a fixed bus width also means that two systems with the same Vega 8 can produce different memory-bound results. In this sense, the Vega 8 is more dependent on surrounding hardware than a discrete GPU with its own memory subsystem.
Who Should Consider It
With an average score of 9215 and a 44th percentile rank, the Vega 8 is aimed at entry-level integrated graphics. It fits systems that need basic 3D acceleration without a discrete card.
The benchmark split matters. Geekbench Metal produces 10689, the highest of the three API tests. Geekbench OpenCL comes next at 8822, while Geekbench Vulkan trails at 8134. Users relying on Metal-accelerated workloads may see a more favorable result than those running Vulkan-based applications.
The data points toward lower resolutions and modest graphics settings. High-resolution, high-detail gaming and heavy GPU compute are not strongly indicated for a part in this percentile range. The nearest rivals are all within 1.1% higher or 1.2% lower in average score, so the Vega 8 is best treated as a baseline performer within its immediate peer group.
Benchmark Performance
The average benchmark score is 9215. Against nearest rivals, the deltas are tight: 0.2% below the RX 5500M, 0.2% below the Quadro K5000, 1.1% below the R7 M380, and 1.2% above the MX330.
The API-specific results reveal more than the average alone. Geekbench Metal yields 10689, while OpenCL yields 8822 and Vulkan yields 8134. The Metal result lifts the average; the Vulkan result is the weakest element of the profile. For users running Vulkan-based games, the practical performance may be lower than the average score suggests.
The 44th percentile vs all GPUs places the Vega 8 in the lower middle of the overall GPU distribution. Benchmark results indicate that it is competitive within a narrow band of lower-tier parts but lacks the headroom of faster discrete GPUs. Its position among the nearest rivals is defined by margins of roughly one percent or less, making run-to-run and platform-level variation relevant in any comparison.
Power and Cooling
The listed TDP is 25 W. Power connectors are listed as "None", and no suggested PSU value is provided. The slot width is IGP and the bus interface is IGP, confirming an integrated part rather than an add-in card.
Display outputs are motherboard dependent, so available connectors depend on the motherboard, not on the GPU itself. Because the Vega 8 is integrated, cooling and power delivery are handled at the system level. The 14 nm process and 25 W TDP place it in a low-power segment. No separate cooling hardware or cooler dimensions are listed in the data.
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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