RADEON

AMD Radeon R7 M350

AMD graphics card specifications and benchmark scores

4 GB
VRAM
1015
MHz Boost
TDP
64
Bus Width

AMD Radeon R7 M350 Specifications

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Radeon R7 M350 GPU Core

Shader units and compute resources

The AMD Radeon R7 M350 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.

Shading Units
384
Shaders
384
TMUs
24
ROPs
8
Compute Units
6
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R7 M350 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the Radeon R7 M350'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 R7 M350 by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1000 MHz
Base Clock
1,000 MHz
Boost Clock
1015 MHz
Boost Clock
1,015 MHz
Memory Clock
1000 MHz 2 Gbps effective
GDDR GDDR 6X 6X

AMD's Radeon R7 M350 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon R7 M350'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.

Memory Size
4 GB
VRAM
4,096 MB
Memory Type
DDR3
VRAM Type
DDR3
Memory Bus
64 bit
Bus Width
64-bit
Bandwidth
16.00 GB/s
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Radeon R7 M350 by AMD Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the R7 M350, 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.

L1 Cache
16 KB (per CU)
L2 Cache
128 KB
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R7 M350 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the AMD Radeon R7 M350 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.

FP32 (Float)
779.5 GFLOPS
FP64 (Double)
48.72 GFLOPS (1:16)
FP16 (Half)
779.5 GFLOPS (1:1)
Pixel Rate
8.120 GPixel/s
Texture Rate
24.36 GTexel/s
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GCN 3.0 Architecture & Process

Manufacturing and design details

The AMD Radeon R7 M350 is built on AMD's GCN 3.0 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 R7 M350 will perform in GPU benchmarks compared to previous generations.

Architecture
GCN 3.0
GPU Name
Meso
Process Node
28 nm
Foundry
TSMC
Transistors
1,550 million
Die Size
125 mm²
Density
12.4M / mm²
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AMD's Radeon R7 M350 Power & Thermal

TDP and power requirements

Power specifications for the AMD Radeon R7 M350 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 R7 M350 to maintain boost clocks without throttling.

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Radeon R7 M350 by AMD Physical & Connectivity

Dimensions and outputs

Physical dimensions of the AMD Radeon R7 M350 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.

Bus Interface
PCIe 3.0 x8
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AMD API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the AMD Radeon R7 M350. 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.

DirectX
12 (12_0)
DirectX
12 (12_0)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.2.170
Vulkan
1.2.170
OpenCL
2.1
Shader Model
6.5
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Radeon R7 M350 Product Information

Release and pricing details

The AMD Radeon R7 M350 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 R7 M350 by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
AMD
Release Date
May 2015
Production
End-of-life
Predecessor
Solar System
Successor
Polaris Mobile

Radeon R7 M350 Benchmark Scores

geekbench_openclSource

Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD Radeon R7 M350 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.

geekbench_opencl #397 of 582
6,955
2%
Max: 380,114
Compare with other GPUs

geekbench_vulkanSource

Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how AMD Radeon R7 M350 performs with next-generation graphics and compute workloads.

geekbench_vulkan #331 of 386
5,625
1%
Max: 379,571

About AMD Radeon R7 M350

The AMD Radeon R7 M350, a mobile GPU built on the 28nm GCN 3.0 architecture, offers basic OpenCL compute capabilities suitable for entry-level parallel processing tasks. Its benchmark scores, such as an OpenCL result of 6,955 points, indicate it can handle lightweight GPU-accelerated workloads in applications that support this open standard. However, it lacks dedicated CUDA cores, as that is proprietary NVIDIA technology, meaning its performance in professional creative suites optimized for CUDA will be limited. This graphics processor is better suited for general-purpose computing on its stream processors through OpenCL or the Vulkan API, where it scored 5,625 points. For users in environments leveraging open standards for computation, this AMD offering provides a foundational level of acceleration, though its DDR3 memory and PCIe 3.0 x8 interface create bandwidth constraints that limit more demanding compute throughput.

Regarding content creation, this particular AMD mobile graphics card is not ideally suited for intensive professional workloads due to its architectural and bandwidth limitations. It can manage basic photo editing, light video timeline scrubbing, and simple 2D design tasks, but rendering times for complex projects or high-resolution media will be significant. The 4 GB of DDR3 VRAM, while ample in quantity for its era, suffers from lower bandwidth compared to GDDR5, hindering performance in texture-heavy applications. Creators using software that primarily leverages OpenCL, like some older versions of Adobe Premiere, may see some GPU acceleration benefit. However, for modern, demanding applications like Blender 3D rendering or DaVinci Resolve color grading, the R7 M350 lacks the compute horsepower and memory performance for a fluid experience, positioning it as a solution for only the most elementary creative tasks.

Software compatibility for this GPU is primarily driven by AMD's legacy graphics drivers and its support for DirectX 12, OpenGL, and Vulkan APIs. The AMD Radeon R7 M350 will function with standard creative and compute applications that utilize OpenCL 1.2 or 2.0, ensuring broad baseline support for acceleration features. However, users must be mindful of driver updates, as support for older mobile GPUs can be deprecated over time, potentially leading to compatibility issues with newer operating systems or application versions. Its Vulkan support, as evidenced by the benchmark, allows it to operate in modern low-overhead API environments, which can benefit some compute and gaming applications. While generally compatible, the experience is best within the ecosystem of applications that do not require high-speed memory or the latest GPU instruction sets, making it a candidate for legacy systems or very specific, lightweight use cases.

Multi-GPU considerations for the Radeon R7 M350 are largely impractical, as mobile GPUs of this class and generation rarely supported any form of CrossFire or explicit multi-adapter technologies in laptops. Even if a system featured two of these chips, the performance scaling would be minimal due to the constrained PCIe x8 interface per card and the inherent overhead of splitting a workload. Furthermore, the 4 GB DDR3 frame buffer would not stack, meaning each GPU would have its own separate memory, complicating data sharing. For any professional or compute scenario where performance is a concern, seeking a single, more powerful graphics solution is vastly preferable to attempting a multi-GPU setup with this adapter. Therefore, the R7 M350 from AMD should be viewed strictly as a standalone, entry-level graphics component with no viable path for performance expansion through additional cards.

The NVIDIA Equivalent of Radeon R7 M350

Looking for a similar graphics card from NVIDIA? The NVIDIA GeForce RTX 2080 offers comparable performance and features in the NVIDIA lineup.

NVIDIA GeForce RTX 2080

NVIDIA • 8 GB VRAM

View Specs Compare

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