AMD Radeon R9 M375X
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Radeon R9 M375X Specifications
Radeon R9 M375X GPU Core
Shader units and compute resources
The AMD Radeon R9 M375X 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.
R9 M375X Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon R9 M375X'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 R9 M375X by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon R9 M375X Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon R9 M375X'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 R9 M375X by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the R9 M375X, 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.
R9 M375X Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon R9 M375X 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 R9 M375X 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 R9 M375X will perform in GPU benchmarks compared to previous generations.
AMD's Radeon R9 M375X Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon R9 M375X 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 R9 M375X to maintain boost clocks without throttling.
Radeon R9 M375X by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon R9 M375X 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 R9 M375X. 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 R9 M375X Product Information
Release and pricing details
The AMD Radeon R9 M375X 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 R9 M375X by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon R9 M375X Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD Radeon R9 M375X handles parallel computing tasks like video encoding and scientific simulations.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how AMD Radeon R9 M375X performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
About AMD Radeon R9 M375X
The AMD Radeon R9 M375X is a 28 nm GCN 1.0 GPU built by AMD around the Tropo chip at TSMC. The die contains 1,500 million transistors across 123 mm², giving a transistor density of 12.2M / mm². Its compute configuration is 640 shading units, 40 texture units, and 16 ROPs, with a base clock of 925 MHz and a boost clock of 1015 MHz. Memory is 2 GB of GDDR5 on a 128-bit bus, operating at 1125 MHz / 4.5 Gbps effective and delivering 72.00 GB/s. In the benchmark database it averages 8480, which places it at the 42nd percentile of all GPUs, and its nearest rivals are all within a delta range of -1.4% to 1.9%.
Benchmark Performance
The performance data is built on two Geekbench records: OpenCL at 8288 and Vulkan at 8671. The Vulkan result is the higher of the two, but the difference between the APIs is small relative to the positioning of the card against its nearest rivals. What matters more is how the aggregate average of 8480 sits inside a very tightly packed competitor group.
The AMD FirePro W5170M leads that group with an average score of 8602, putting it 1.4% above the R9 M375X. The Intel Arc A380 follows at 8558, which is 0.9% above. The AMD Radeon HD 8870M is essentially a tie: its average is 8462, and the R9 M375X is 0.2% above it. At the lower end of the cluster, the AMD Radeon RX 550 averages 8324, leaving the R9 M375X 1.9% ahead. These four deltas are all under two percentage points in absolute value, and the entire rival set is compressed between 8324 and 8602.
In practical terms, the data does not support a clear hierarchy. A single driver version or workload type could easily move the R9 M375X past the FirePro W5170M or drop it behind the HD 8870M, because the margins are so thin. The 42nd-percentile rank is a more stable descriptor than any one head-to-head comparison. The card is below the database midpoint, but it is not in the bottom quartile. It trades places with the same class of hardware rather than being clearly faster or slower than its listed rivals.
The raw throughput figures align with that placement. FP32 compute is 1,299.2 GFLOPS, texture fill is 40.60 GTexel/s, and pixel fill is 16.24 GPixel/s. These are mid-range aggregate rates for the era represented by this GPU, and they reinforce the idea that the R9 M375X is a balanced but modest part. The pixel fill rate, in particular, is low enough that fill-heavy scenes will be more constrained than shader-heavy scenes.
Ray Tracing and Feature Set
The specification fields for this GPU contain no RT core count and no tensor core count. Those fields are absent from the data, and no ray tracing workload appears in the benchmark record. The architecture label is GCN 1.0, which is the basis for the feature set. API support is listed as DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. These APIs provide a baseline for modern applications, but the data does not indicate any dedicated hardware ray tracing capability.
The benchmark record includes Vulkan and OpenCL results, so the card has some demonstrated capability under both of those APIs. DirectX 12 (11_1) support is present in the feature list, though there is no corresponding DirectX benchmark in the supplied data. The absence of tensor cores also means that any AI-oriented workload, if considered, would have to rely on general shader hardware rather than dedicated tensor hardware. No such workload is measured in the data, so no performance conclusion can be drawn there. The feature set is, on paper, a conventional GCN 1.0 design with modern low-level API drivers.
The product data also records a release date of 2015-05-04 and a production status of end-of-life. Its predecessor is Solar System and its successor is Polaris Mobile, which places the R9 M375X in a previous-generation transition point rather than a current product stack. The host interface is PCIe 3.0 x16, which is the connection used for system-level data transfers.
Who Should Consider It
The R9 M375X is a below-median performer in the database, with a 42nd-percentile rank. That means most GPUs in the benchmark set score above it. For workloads that fit within its memory configuration, the card can still be usable, but the data points toward lower resolutions and reduced texture settings rather than high-resolution or high-texture workloads. The 2 GB GDDR5 frame buffer and 72.00 GB/s bandwidth are the most restrictive specifications. A 16-ROP configuration at 16.24 GPixel/s further limits pixel throughput, while 40 TMUs keep texture work at 40.60 GTexel/s.
Vulkan 1.2.170 support is worth attention because the card’s highest recorded benchmark score, 8671, comes from a Vulkan workload. OpenGL 4.6 support covers a wide range of older applications. DirectX 12 (11_1) provides a baseline for DX12-era titles, but the 11_1 feature level is not a top-tier DX12 implementation. None of the supplied benchmarks are game traces, so the data cannot confirm how the card behaves in a specific title. The nearest rivals are all close enough that application-specific testing would be required to separate them: the deltas are -1.4%, -0.9%, 0.2%, and 1.9% for the FirePro W5170M, Arc A380, HD 8870M, and RX 550 respectively.
The card is best suited to scenarios where the 2 GB memory capacity is not challenged and where the workload is compute- or shader-bound rather than bandwidth-bound. The FP32 rate of 1,299.2 GFLOPS offers more headroom than the memory subsystem can consistently feed, so memory-heavy settings are more likely to become the limiting factor. Users who only need modest API coverage and a mid-pack synthetic score can consider this GPU, but the data does not suggest it as a high-end choice.
FAQ
Q: What are the benchmark scores of the AMD Radeon R9 M375X?
A: The Geekbench OpenCL score is 8288, the Geekbench Vulkan score is 8671, and the average benchmark score is 8480. The GPU sits at the 42nd percentile of all GPUs in the database.
Q: How does the R9 M375X compare to its nearest rivals?
A: It is 0.2% above the AMD Radeon HD 8870M, whose average is 8462. It is 0.9% below the Intel Arc A380, which averages 8558. It is 1.4% below the AMD FirePro W5170M, which averages 8602. It is 1.9% above the AMD Radeon RX 550, which averages 8324.
Q: What memory configuration does the R9 M375X use?
A: The card uses 2 GB of GDDR5 on a 128-bit bus. The memory clock is 1125 MHz, the effective data rate is 4.5 Gbps, and the resulting bandwidth is 72.00 GB/s.
Q: Does the R9 M375X support ray tracing?
A: No ray tracing core count is listed in the data, and no benchmark record in the supplied data is a ray tracing workload. The API support is DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170.
Q: What are the core specifications of the chip?
A: The chip is Tropo, built on GCN 1.0 at 28 nm on TSMC. It has 1,500 million transistors on a 123 mm² die at a density of 12.2M / mm². It includes 640 shading units, 40 texture units, and 16 ROPs, with a base clock of 925 MHz and a boost clock of 1015 MHz.
Q: Is the R9 M375X still in production?
A: No, the production status is end-of-life. It was released on 2015-05-04. Its predecessor is Solar System and its successor is Polaris Mobile.
Memory Subsystem
The memory subsystem is the most constrained part of the R9 M375X. It pairs 2 GB of GDDR5 with a 128-bit bus. The memory clock is 1125 MHz, and the effective transfer rate is 4.5 Gbps, producing exactly 72.00 GB/s of bandwidth. That is a modest pipe by the standards of the score range, and it is the specification most likely to limit high-resolution rendering.
The compute side of the GPU is not especially large, but it is still ahead of what the memory interface can comfortably support in bandwidth-sensitive workloads. FP32 throughput is 1,299.2 GFLOPS, while the memory bus provides 72.00 GB/s. In situations where textures must be streamed quickly, the 72.00 GB/s figure will be the ceiling. The 2 GB capacity is a separate ceiling: large texture sets or high-resolution frame buffers can exceed that capacity quickly, forcing data to move across the PCIe 3.0 x16 host interface.
The composition of the render pipeline also matters. The 16 ROPs produce a pixel fill rate of 16.24 GPixel/s, which is a conservative number for a GPU with 640 shading units. The 40 TMUs deliver 40.60 GTexel/s, meaning texture fetching is less constrained than pixel output. That combination suggests a workload that is heavy on texture work but relatively light on final pixel throughput will be more comfortable than one that demands high pixel fill rates. The memory clock of 1125 MHz and 4.5 Gbps effective data rate are the defining inputs for the card’s bandwidth figure, and all other performance characteristics in the data need to be read against that 72.00 GB/s ceiling.
The NVIDIA Equivalent of Radeon R9 M375X
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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