AMD Radeon R8 M445DX

The AMD Radeon R8 M445DX is an integrated graphics processor built on the 28 nm process node using the GCN 3.0 architecture, specifically the Meso chip. It carries 1,550 million transistors on a 125 mm² die, yielding a transistor density of 12.4M per mm². As an IGP with a base clock of 780 MHz and a boost clock of 1021 MHz, it relies entirely on system memory, and its production status is end-of-life, with a release date of May 14, 2016. Its single benchmark result is a Geekbench OpenCL score of 4670, placing it at the 25th percentile of all GPUs, which indicates a decidedly entry-level position in the performance hierarchy.

How It Compares

The nearest rival, the AMD Radeon R5 M255, posts an average score of 4680, which is just 0.2% higher than the R8 M445DX's 4670. This delta is effectively a statistical tie; the data shows the two parts are interchangeable in raw compute throughput, with neither offering a meaningful edge in real-world OpenCL workloads. For a user deciding between these two, the choice would come down to other factors like driver maturity or system integration, not performance.

Against the NVIDIA GeForce GTX 970M, the comparison is more striking despite the close scores. The GTX 970M averages 4655, which is 0.3% lower than the R8 M445DX's score. This means the integrated AMD part actually edges out a dedicated mobile GPU from a previous generation in this specific OpenCL test. However, this result should not be over-interpreted; the 970M was designed for gaming with different architectural strengths, and the single benchmark here does not capture the full scope of that GPU's capabilities.

The AMD Radeon R5 M335 scores 4700, which is 0.6% above the R8 M445DX. This is the largest delta among the rivals, yet still a marginal difference of roughly 30 points. Benchmark results indicate that the R8 M445DX trails the R5 M335 by a hair, but again, this is within the noise of typical benchmark variance. Both are low-end parts, and the performance gap is negligible for any practical application.

Finally, the NVIDIA Quadro M3000M, a professional mobile workstation GPU, averages 4635, which is 0.8% lower than the R8 M445DX. The data shows the R8 M445DX is ahead of the M3000M in this specific OpenCL test, a surprising outcome given the Quadro's professional positioning. Yet, the M3000M's value lies in certified drivers and reliability for CAD or scientific workloads, not raw compute scores, so the delta of 0.8% is not a meaningful indicator of overall suitability.

Ray Tracing and Feature Set

The Radeon R8 M445DX has no dedicated ray tracing cores and no tensor cores, as these fields are null in the specification. This is consistent with its GCN 3.0 architecture, which predates the hardware-accelerated ray tracing found in much later GPU generations. Consequently, any ray tracing workload would be handled via compute shaders or not at all, and the performance would be poor compared to any modern dedicated RT hardware.

API support is limited to DirectX 12 (12_0), OpenGL 4.6, and Vulkan 1.2.170. The DirectX 12 feature level 12_0 means the GPU can execute modern DirectX 12 titles, but without the higher feature levels like 12_1 or 12_2, it lacks some advanced features such as variable rate shading or mesh shaders. OpenGL 4.6 and Vulkan 1.2.170 provide broad compatibility for cross-platform applications, but the underlying hardware's modest compute power will constrain performance in any API.

The lack of tensor cores also means no hardware acceleration for AI or machine learning inference tasks, which are increasingly common in upscaling technologies. The GPU cannot leverage any DLSS-style feature, and any AI-based enhancement would have to run on the system CPU or via shader-based fallbacks, which would be slow. The feature set here is firmly rooted in the mid-2010s, offering basic modern API entry points but no forward-looking acceleration.

Benchmark Performance

The sole benchmark score for the R8 M445DX is 4670 in Geekbench OpenCL. This places it at the 25th percentile of all GPUs, meaning roughly three-quarters of all GPUs in the database score higher. This is a low-end result, and the data clearly indicates this is not a part for demanding compute tasks. The average benchmark score of 4670 is identical to its sole test score, confirming the lack of multiple data points.

Comparing to the nearest rivals, the deltas are uniformly tiny. The R8 M445DX is 0.2% behind the R5 M255, 0.3% ahead of the GTX 970M, 0.6% behind the R5 M335, and 0.8% ahead of the Quadro M3000M. None of these differences exceed 1%, which suggests that all five GPUs sit in the same performance band for this particular OpenCL workload. The practical takeaway is that the R8 M445DX offers compute performance that is indistinguishable from its closest peers, and any of these parts would deliver similar frame rates or compute times in real applications.

The FP32 throughput is listed as 653.4 GFLOPS, with FP16 also at 653.4 GFLOPS, indicating a 1:1 ratio. This means there is no half-precision boost, so workloads that could benefit from FP16 acceleration will see no advantage here. The texture rate is 20.42 GTexel/s and the pixel rate is 8.168 GPixel/s, figures that align with the low shading unit count of 320 and the small ROP count of 8. These numbers confirm that the GPU is bandwidth and fill-rate limited, which will cap its performance in gaming scenarios.

Who Should Consider It

Given the 25th percentile ranking and the 4670 OpenCL score, the R8 M445DX is suitable only for light, legacy gaming or basic productivity tasks. At 720p resolution with low settings, it can handle older titles from the early 2010s or esports games like League of Legends or CS:GO at playable frame rates, though the data does not provide specific frame rate figures. For 1080p gaming, the scores indicate the GPU would struggle with anything beyond very low settings and older titles, and it is not a viable option for modern AAA games.

Users who require GPU acceleration for video encoding, photo editing, or general office work will find the R8 M445DX adequate for 2D tasks, but any 3D rendering or heavy compute will expose its limitations. The 8 ROPs and 20 TMUs are a severe bottleneck, and the system-shared memory means performance is also dependent on the CPU's memory bandwidth. This is a part for a basic laptop that needs to display the desktop and occasionally play a light game, not for a gaming or workstation machine.

For anyone with a workload that involves OpenCL compute, the benchmark results indicate that the R8 M445DX will perform almost identically to the R5 M255 or R5 M335. If a system already has one of those GPUs, there is no reason to upgrade to the R8 M445DX. Conversely, if a laptop comes with this GPU, expectations should be set extremely low, and the user should plan to limit themselves to 720p gaming or non-GPU-intensive applications.

Memory Subsystem

The memory configuration for the R8 M445DX is entirely system-shared, meaning the GPU uses a portion of the laptop's main system RAM for both framebuffer and texture storage. There is no dedicated VRAM, no fixed bus width, and no specified bandwidth. The memory type is listed as "System Shared," and the bandwidth is "System Dependent," which means performance scales directly with the speed and channel configuration of the installed system memory.

In practice, this makes the GPU's memory performance highly variable. A laptop with dual-channel DDR4-2400 memory will provide significantly more bandwidth than a single-channel DDR3-1600 configuration, and the benchmark scores could shift accordingly. However, even the best-case system memory bandwidth will be far lower than that of a dedicated GPU with GDDR5, and the 8 ROPs will still limit fill-rate at high resolutions.

For high resolutions like 1440p or 4K, the system-shared memory is a critical weakness. The GPU must compete with the CPU for memory bandwidth, and the lack of a dedicated bus means textures and framebuffers are transferred over the same bus as normal system traffic. This will cause stuttering and low frame rates in any 3D application, even at low settings. The data does not provide specific bandwidth figures, but the architecture alone dictates that this is a major constraint for any resolution above 1080p.

Power and Cooling

The TDP for the R8 M445DX is not specified in the data, and the slot width is listed as IGP, indicating it is an integrated graphics processor built into the motherboard or APU. There are no power connectors required, and no suggested PSU is provided. This is because the GPU draws its power directly from the motherboard's power delivery system, which is shared with the CPU.

As an integrated part, the cooling solution is also shared with the CPU. The laptop or system's existing cooling fan and heatsink must handle the thermal output of both components, and the R8 M445DX adds to the overall heat load. The 28 nm process node is not particularly efficient by modern standards, so the GPU will contribute noticeable heat under load, but the absence of a TDP figure means the exact contribution cannot be quantified from the data.

For a system builder or buyer, the practical implication is that no additional power supply or cooling is needed. The GPU is entirely self-contained within the motherboard, and any laptop or mini-PC that includes it will already have the necessary power and thermal infrastructure. The lack of a suggested PSU also confirms that this is not a part for a desktop build, as it cannot be installed as a discrete card. The end-of-life status means it is only found in older systems, and users should not seek it out for new builds.