AMD Radeon R8 M350DX
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Radeon R8 M350DX Specifications
Radeon R8 M350DX GPU Core
Shader units and compute resources
The AMD Radeon R8 M350DX 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.
R8 M350DX Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon R8 M350DX'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 R8 M350DX by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon R8 M350DX Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon R8 M350DX'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.
Radeon R8 M350DX by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the R8 M350DX, 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.
R8 M350DX Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon R8 M350DX 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 1.0 Architecture & Process
Manufacturing and design details
The AMD Radeon R8 M350DX is built on AMD's GCN 1.0 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 R8 M350DX will perform in GPU benchmarks compared to previous generations.
AMD's Radeon R8 M350DX Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon R8 M350DX 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 R8 M350DX to maintain boost clocks without throttling.
Radeon R8 M350DX by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon R8 M350DX 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 R8 M350DX. 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 R8 M350DX Product Information
Release and pricing details
The AMD Radeon R8 M350DX 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 R8 M350DX by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon R8 M350DX Benchmark Scores
No benchmark data available for this GPU.
About AMD Radeon R8 M350DX
The AMD Radeon R8 M350DX is an integrated graphics processor designed for portable devices, built on the GCN 1.0 architecture using a 28 nm process at TSMC. It is part of the Gem System Hybrid generation within the Rx M300 series, with a production status marked as end-of-life and a release date of December 11, 2015. This analysis examines its specifications and performance potential based solely on the provided data, noting that the benchmark database contains no direct scores for this part, leaving its percentile ranking at 50 among all GPUs.
Memory Subsystem
The Radeon R8 M350DX uses system-shared memory for all VRAM functions, meaning the size, type, and bus width are all classified as "System Shared". This is a fundamental design choice for an integrated processor, as it relies on the host system’s main memory rather than dedicated video memory. Consequently, the memory bandwidth is listed as "System Dependent", which varies entirely with the platform’s memory configuration—dual-channel high-speed system RAM will yield better performance than single-channel or slower memory.
For high-resolution workloads, the implications are significant. Without dedicated VRAM, the GPU must compete with the CPU for memory bandwidth, and the available bandwidth is not fixed by the graphics card itself but by the system’s memory controller. At high resolutions such as 1440p or 4K, the demand for memory bandwidth increases substantially, but the M350DX cannot guarantee any specific throughput. Benchmark results would show highly variable performance depending on the host system, making this part unsuitable for consistent high-resolution gaming or compute tasks. The lack of a dedicated bus width further underscores that this is a low-power, entry-level solution where memory performance is an afterthought rather than a strength.
Ray Tracing and Feature Set
The Radeon R8 M350DX does not include dedicated ray tracing cores or tensor cores, as these fields are null in the specification. Instead, it relies on the GCN 1.0 architecture, which predates hardware-accelerated ray tracing. The shading units total 384, with 24 texture mapping units and 8 raster output pipelines, providing the fundamental rendering throughput for traditional rasterization.
In terms of API support, the GPU supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. The DirectX 12 feature level is 11_1, which means it can run DirectX 12 titles but only at the 11_1 feature set, missing some of the more advanced DirectX 12 features like bindless resources or certain async compute optimizations. Vulkan 1.2.170 allows for modern cross-platform graphics development, and OpenGL 4.6 covers legacy applications. However, without RT cores, any ray tracing effects would be handled via software or compute shaders, which would be prohibitively slow given the low compute throughput. The pixel rate is 8.240 GPixel/s and the texture rate is 24.72 GTexel/s, indicating a fill-rate capacity suited for low-resolution or simple 3D scenes, not for feature-heavy workloads.
Benchmark Performance
The FACT PACK lists no benchmark scores for the Radeon R8 M350DX, with an average benchmark score of 0 and an empty nearestRivals array. The percentile rank against all GPUs is 50, which places it exactly in the middle of the distribution—but this is a neutral position based on the database’s ranking algorithm, not a performance measurement. Without actual scores or rival comparisons, quantitative analysis of its speed relative to other GPUs is impossible from this data.
What can be inferred comes from the raw compute figures. The FP32 performance is 791.0 GFLOPS, which is a theoretical peak for single-precision floating-point operations. This number, combined with the pixel rate of 8.240 GPixel/s and texture rate of 24.72 GTexel/s, suggests a part aimed at basic 2D acceleration, light 3D rendering, or video playback. The shading units (384) are modest, and the ROP count of 8 further limits resolution and anti-aliasing capabilities. In the absence of benchmarks, the data indicates that this GPU would be outperformed by any dedicated entry-level discrete GPU, but the exact deltas cannot be stated because no rival scores are provided. The 50th percentile rank is the only positioning metric, but it does not convey actual performance—it merely shows that the database has no specific score to rank against.
Power and Cooling
The Radeon R8 M350DX has no listed TDP, no suggested PSU, and no power connector requirements. Its slot width is classified as "IGP" (integrated graphics processor), and the bus interface is also "IGP". This means the GPU is embedded into a portable device’s chipset or CPU, drawing power from the same socket as the processor rather than from a dedicated power supply. There are no external power connectors, and the cooling solution is entirely dependent on the host device’s thermal design, which is not specified in the data.
Given the absence of a TDP figure, power consumption must be discussed qualitatively. As a 28 nm integrated part with 690 million transistors on a 56 mm² die, it is designed for low power operation, suitable for thin-and-light laptops or small-form-factor devices. The lack of a PSU recommendation confirms that users do not need to account for this GPU when sizing a power supply, as it uses system resources already in place. Thermal management is handled by the device’s internal fans or passive cooling, but the data does not provide specifics on heat output or cooling requirements.
How It Compares
Since the nearestRivals array is empty, there are no direct competitor comparisons available from the FACT PACK. The GPU’s position cannot be assessed against specific named rivals, nor can any percentage deltas be calculated. The only relative data point is the percentile rank of 50 against all GPUs, which suggests it sits in the middle of the database’s entire GPU collection—but this is a rank, not a score, and may reflect the lack of benchmark entries rather than actual mid-tier performance.
Without rival data, the comparison must rely on architectural context. The GCN 1.0 architecture is an older design, and the 28 nm process is dated compared to modern nodes. The 690 million transistors and 56 mm² die size are small, indicating a low-complexity chip. The system-shared memory and IGP classification place it firmly in the integrated category, where it would compete with other integrated solutions, but no names or scores are provided. The FP32 throughput of 791.0 GFLOPS is the only quantitative anchor, and it implies a performance level far below any discrete GPU from the same era, but specific rival deltas cannot be stated.
FAQ
Q: What is the memory configuration of the AMD Radeon R8 M350DX?
A: The GPU uses system-shared memory, with the size, type, and bus width all listed as "System Shared". The bandwidth is "System Dependent", meaning it varies with the host system’s memory.
Q: Does this GPU support hardware ray tracing?
A: No. The FACT PACK lists no ray tracing cores and no tensor cores, so hardware-accelerated ray tracing is not available.
Q: What is the FP32 performance of this GPU?
A: The FP32 compute performance is 791.0 GFLOPS, with a pixel rate of 8.240 GPixel/s and a texture rate of 24.72 GTexel/s.
Q: What APIs are supported?
A: The GPU supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170.
Q: Is this a discrete or integrated GPU?
A: It is integrated, with a slot width and bus interface both classified as "IGP". It has no power connectors and no suggested PSU.
Q: What is the production status and release date?
A: The production status is "End-of-life", and the release date is December 11, 2015.
The NVIDIA Equivalent of Radeon R8 M350DX
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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