AMD Radeon R9 A375

AMD Radeon R9 A375 is an end-of-life mobile-oriented discrete GPU built on the 28 nm TSMC process with the Venus chip and GCN 1.0 architecture. It packs 1,500 million transistors on a 123 mm² die, yielding a transistor density of 12.2M per mm². The card carries 640 shading units, 40 texture mapping units, and 16 raster output units, with peak pixel rate of 16.24 GPixel/s and texture rate of 40.60 GTexel/s. Its FP32 compute is listed at 1,299.2 GFLOPS, placing it in the middle of the GPU performance distribution (50th percentile among all GPUs). The product is marked as end-of-life, with no launch MSRP provided in the data.

Memory Subsystem

The R9 A375 comes with 2 GB of GDDR5 memory across a 128-bit bus. Memory clocks run at 1125 MHz, translating to 4.5 Gbps effective data rate. The resulting memory bandwidth is 72.00 GB/s. This configuration is modest by modern standards, and the data suggests it will be a limiting factor at high resolutions. For 1080p gaming, 2 GB of VRAM is often sufficient for older titles or reduced texture settings, but the 72.00 GB/s bandwidth means that high-resolution textures or heavy post-processing could cause stuttering or texture pop-in. At 1440p or above, the combination of small capacity and narrow bus will likely force the GPU to constantly swap data to system memory, severely degrading frame pacing. The 128-bit bus width is half of what many mid-range cards of its era used, so the memory subsystem is clearly a bottleneck for any workload that relies heavily on bandwidth, such as 4K gaming or compute tasks with large datasets. The 16 ROPs also cap pixel throughput, which further limits high-resolution fill-rate demands. In benchmark terms, the pixel rate of 16.24 GPixel/s and texture rate of 40.60 GTexel/s are indicative of a GPU designed for 1080p-class workloads rather than pushing large framebuffers. The data does not list any memory overclocking or additional memory features, so the effective bandwidth of 72.00 GB/s should be treated as the fixed ceiling for this card.

Ray Tracing and Feature Set

The R9 A375 does not include dedicated ray tracing cores or tensor cores — the FACT PACK lists both as null. This is consistent with its GCN 1.0 architecture, which predates hardware-accelerated ray tracing. The card's API support includes DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. The DirectX 12 (11_1) feature level is notable: it supports some modern API features but not the full DirectX 12 Ultimate feature set, meaning ray tracing and mesh shaders are not available in hardware. Vulkan 1.2.170 support does allow access to modern compute and graphics features, but any ray tracing workload would have to be software-based, which is inefficient given the 1,299.2 GFLOPS FP32 throughput. The absence of tensor cores also means no AI-accelerated features like DLSS or similar upscaling technologies. For gamers, this translates to relying on traditional rasterization and temporal upscaling techniques that are not hardware-accelerated. The 16 ROPs and 40 TMUs are the only fixed-function units available for rendering, so any feature that requires dedicated hardware (like variable rate shading or ray tracing) is unsupported. The API support is sufficient for older DirectX 11 titles and many Vulkan games, but the hardware lacks the specialized units found in newer GPUs. The data shows no display output specifications, so it is unclear whether modern interfaces like HDMI 2.1 or DisplayPort 1.4 are present, but given the architecture's age, they are unlikely. Overall, the feature set is limited to rasterization and compute, with no path for hardware-accelerated ray tracing or tensor-based features.

Benchmark Performance

The FACT PACK provides no individual benchmark scores, but it does list the percentileVsAllGpus as 50, indicating the R9 A375 sits exactly at the median of all GPUs in the database. The nearestRivals array is empty, so there are no direct competitor scores or deltaPct values to reference. The average benchmark score is listed as 0, which suggests the card has not been benchmarked in the current dataset or has no recorded results. The FP32 compute of 1,299.2 GFLOPS is the primary quantitative performance indicator. To contextualize this, consider that a GPU with 1,299.2 GFLOPS typically handles 1080p gaming at medium settings for titles released around its architecture era. The 50th percentile ranking implies that half of all GPUs in the database are faster, and half are slower. This places it in the lower-mid range of performance, far from high-end cards but not bottom-tier either. The pixel rate of 16.24 GPixel/s and texture rate of 40.60 GTexel/s further support the notion of a 1080p-oriented card. For multi-core workloads, the 640 shading units provide a baseline, but the lack of any rival data means we cannot state specific percentage deltas against competing products. The data shows no benchmark entries, so any claims about frame rates or relative performance must be inferred from the compute and memory specifications. The 2 GB VRAM and 72.00 GB/s bandwidth will cap performance in memory-intensive scenes, likely causing frame drops in modern games that require more than 2 GB at high settings. In synthetic compute tasks, the 1,299.2 GFLOPS is a fixed number, but real-world gaming performance depends heavily on driver optimization and memory bandwidth, which is limited here. The 50th percentile ranking is the only direct performance metric, and it suggests a balanced, middle-of-the-road GPU for its time.

Who Should Consider It

Based on the 50th percentile ranking and the memory configuration, the R9 A375 is suitable for users who play older or less demanding games at 1080p with medium to low settings. The 2 GB VRAM is sufficient for esports titles like older shooters or MOBAs, but will struggle with modern AAA games that recommend 4 GB or more. The 72.00 GB/s bandwidth means that high-resolution textures (even at 1080p) can cause performance dips. For 720p or 900p gaming, the card would perform more comfortably, as the lower resolution reduces memory pressure. The 16.24 GPixel/s pixel rate caps fill-rate-heavy effects like heavy anti-aliasing, so users should disable MSAA or use lighter alternatives. The 1,299.2 GFLOPS FP32 compute is adequate for basic content creation, like photo editing or light video transcoding, but not for heavy 3D rendering or machine learning tasks. Given the end-of-life production status, this card is realistically only for legacy systems or budget builds where the user already owns the card. It does not support ray tracing or tensor-based features, so anyone looking for those technologies should look elsewhere. The 50th percentile ranking means it will outperform integrated graphics from the same era but fall behind most discrete GPUs released after 2016. For 1080p gaming at medium settings in older titles, it is serviceable, but for any modern game released post-2020, the 2 GB VRAM and 72.00 GB/s bandwidth will be severe limitations. The card lacks any benchmark scores, so actual frame rates cannot be stated, but the specification-derived expectations point to a 1080p low-to-medium experience.

FAQ

Q: Does the R9 A375 support hardware ray tracing?

A: No, the FACT PACK lists rtCores as null, and the GCN 1.0 architecture does not include dedicated ray tracing hardware.

Q: What is the memory bandwidth of this GPU?

A: The memory bandwidth is 72.00 GB/s, derived from a 128-bit bus and 4.5 Gbps effective GDDR5 memory speed.

Q: How much VRAM does the R9 A375 have?

A: It has 2 GB of GDDR5 memory, which is modest for modern games and may require reduced texture settings.

Q: What DirectX version does it support?

A: It supports DirectX 12 (11_1), which is a partial implementation of DirectX 12 without full feature-level support.

Q: What is the GPU's percentile ranking among all GPUs?

A: The percentileVsAllGpus is 50, meaning it performs better than half of all GPUs in the database and worse than the other half.

Q: Is the R9 A375 still in production?

A: No, the production status is listed as "End-of-life," indicating it is no longer manufactured.

Q: What is the FP32 compute performance?

A: The FP32 compute is 1,299.2 GFLOPS, which is a measure of single-precision floating-point performance.

Power and Cooling

The FACT PACK does not list a TDP, slot width, power connectors, or suggested PSU for the R9 A375. The data is silent on these power characteristics, so no wattage figures can be stated. However, given the 28 nm process node and the 1,500 million transistor count, the card's power draw is likely moderate by modern standards, but without a TDP number, any discussion must remain qualitative. The lack of a suggested PSU means we cannot recommend a specific wattage. For a system using this GPU, a standard power supply from a reputable brand with adequate wattage for the rest of the components would be necessary, but the exact requirement is unknown. The bus interface is PCIe 3.0 x16, which provides up to 75 watts of power through the slot alone, but the card may require additional power connectors — the data does not specify. Users building a system around this end-of-life card should check the physical card for auxiliary power connectors, as the absence of data here does not confirm they are unnecessary. The 28 nm process is older and less power-efficient than modern nodes, so the card likely runs hotter than a comparable modern GPU, but no thermal design power or cooling solution is specified. The 123 mm² die size suggests a relatively small chip, which typically allows for a compact cooler, but dimensions are not listed. Without a TDP, we cannot estimate cooling requirements or noise levels. The safest assumption is that a standard single-slot or dual-slot cooler with a small fan would suffice, but that is inference, not fact. The data provides no guidance on power supply sizing, so users should err on the side of a higher-wattage PSU to accommodate potential spikes, though this is not backed by numbers.

How It Compares

The nearestRivals array in the FACT PACK is empty, meaning there are no direct competitor scores or deltaPct values provided. As a result, this section cannot reference specific rival products or percentage deltas. The only comparative metric is the percentileVsAllGpus of 50, which places the R9 A375 at the median of all GPUs in the database. This implies it is roughly as fast as the average GPU, but the absence of rival data prevents any head-to-head analysis. The card's specifications — 640 shading units, 1,299.2 GFLOPS, 72.00 GB/s bandwidth — suggest it would compete with other mid-range GPUs from the same generation, but no names are given. Without rival names, we cannot state which specific GPUs it outperforms or trails behind. The 50th percentile ranking is a broad indicator, but it does not tell us how far ahead or behind it is from any particular model. For context, a GPU at the 50th percentile is typically outclassed by flagship models but beats entry-level integrated graphics. However, since no rival data exists, any comparison must be purely qualitative. The data shows no benchmark scores, so we cannot say "30% ahead of X" or "20% behind Y." The only concrete comparative statement is that it sits at the midpoint of all GPUs in the database, which is a nebulous but factual position. Users seeking a direct comparison should look at GPUs with similar FP32 compute and memory bandwidth, but the FACT PACK does not provide those names. Therefore, this section must conclude that no direct rivals are listed, and the card's standing is defined solely by its 50th percentile ranking.