AMD Radeon RX 5300M
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Radeon RX 5300M Specifications
Radeon RX 5300M GPU Core
Shader units and compute resources
The AMD Radeon RX 5300M 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.
RX 5300M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon RX 5300M'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 RX 5300M by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon RX 5300M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon RX 5300M'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 RX 5300M by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RX 5300M, 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.
RX 5300M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon RX 5300M 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.
RDNA 1.0 Architecture & Process
Manufacturing and design details
The AMD Radeon RX 5300M is built on AMD's RDNA 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 RX 5300M will perform in GPU benchmarks compared to previous generations.
AMD's Radeon RX 5300M Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon RX 5300M 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 RX 5300M to maintain boost clocks without throttling.
Radeon RX 5300M by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon RX 5300M 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 RX 5300M. 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 RX 5300M Product Information
Release and pricing details
The AMD Radeon RX 5300M 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 RX 5300M by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon RX 5300M Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD Radeon RX 5300M 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.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby PerformersAbout AMD Radeon RX 5300M
The AMD Radeon RX 5300M is a mobile GPU from the Radeon RX 5000 series, built on the 7 nm Navi 14 chip with RDNA 1.0 architecture. Its single OpenCL benchmark score of 36371 places it at the 80th percentile among all GPUs, indicating a solid mid-range standing. The data shows a tightly clustered competitive field, with the RX 5300M edging out several notable desktop and professional cards by narrow margins, though its 3 GB memory capacity and 96-bit bus suggest specific usage limitations that the raw score does not capture.
Benchmark Performance
The RX 5300M’s average benchmark score of 36371 in Geekbench OpenCL places it in a peculiar competitive position. It leads the nearest rival, the NVIDIA GeForce GTX TITAN X, by a razor-thin 0.2% delta (36305 vs 36371). This is a statistically negligible gap, meaning the two GPUs are effectively interchangeable in raw compute workloads, despite the TITAN X being a much larger desktop part with a different memory configuration. Similarly, the NVIDIA T1000 trails by 0.2% (36282), again showing no meaningful performance separation.
More interesting is the comparison to the AMD Radeon RX 7900 GRE, a much newer and larger GPU that scores 36101, placing it 0.7% behind the RX 5300M. This counterintuitive result—an older, smaller mobile chip outpacing a flagship-tier desktop card—highlights that Geekbench OpenCL measures specific compute patterns where the RX 5300M’s 1408 shading units and 4.069 TFLOPS FP32 throughput perform proportionally well. However, the RX 7900 GRE’s architectural advantages in other workloads would likely reverse this in gaming scenarios. The largest gap in the rival set is against the AMD Radeon Pro Duo, which scores 35860, putting the RX 5300M 1.4% ahead.
These deltas are all under 2%, so the benchmark data indicates that the RX 5300M occupies a performance tier where micro-architectural efficiency matters more than brute silicon size. The 80th percentile ranking confirms that it outperforms roughly four-fifths of all GPUs in the database, a strong result for a mobile part from 2019. The FP32 rate of 4.069 TFLOPS and texture rate of 127.2 GTexel/s are consistent with this positioning, though the 46.24 GPixel/s pixel rate suggests fill-rate limits that could affect high-resolution rendering.
Ray Tracing and Feature Set
The RX 5300M has no dedicated ray tracing cores, and the FACT PACK lists no tensor cores either. This means the GPU relies entirely on its 1408 shading units for any ray tracing calculations, a process that would be substantially slower than on hardware designed with dedicated acceleration. The RDNA 1.0 architecture predates AMD’s dedicated ray tracing hardware, which arrived in later generations, so the RX 5300M is not equipped for hardware-accelerated ray tracing in modern titles.
API support is comprehensive for its era: DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4 are all present. This ensures compatibility with virtually all modern games and applications, though the lack of RT cores means any ray-traced effects would fall back to compute shaders, likely at reduced performance. The PCIe 4.0 x8 bus interface provides ample bandwidth for data transfer, though the x8 link width is narrower than the x16 found on many desktop GPUs, which could slightly impact CPU-bound scenarios. Display outputs are portable-device dependent, reflecting the mobile nature of this GPU, so connectivity varies by laptop implementation.
The RDNA 1.0 architecture itself brings features like improved shader efficiency over older GCN designs, but the absence of RT and tensor cores is a clear differentiator against NVIDIA rivals that had already introduced such hardware. For users prioritizing ray tracing, the data does not support this GPU as a viable option; for traditional rasterization, the feature set is adequate.
Memory Subsystem
The RX 5300M ships with 3 GB of GDDR6 memory on a 96-bit bus, yielding a bandwidth of 168.0 GB/s. This is a modest configuration, and the 3 GB capacity is the most limiting factor for modern gaming. At 1080p with high textures, many contemporary titles exceed 3 GB of VRAM usage, causing the GPU to spill into system memory via PCIe, which drastically reduces performance. The 96-bit bus width is narrow, but the 14 Gbps effective memory speed partially compensates, delivering 168.0 GB/s—sufficient for 1080p medium settings in most games, but inadequate for 1440p or 4K with high-detail assets.
The memory clock runs at 1750 MHz (14 Gbps effective), which is standard for GDDR6 of that era. The 3 GB capacity is particularly problematic for future-proofing; the data shows a GPU capable of good compute performance, but that performance is capped by VRAM in real-world scenarios. For esports titles and older games, the bandwidth is fine, but for texture-heavy AAA games, the 3 GB limit will force users to lower settings. The pixel rate of 46.24 GPixel/s, combined with the memory bandwidth, suggests that the RX 5300M is best suited to 1080p resolution, where the 96-bit bus does not become a severe bottleneck.
FAQ
Q: How does the RX 5300M compare to the GeForce GTX TITAN X in raw compute?
A: The RX 5300M scores 36371 in Geekbench OpenCL, which is 0.2% higher than the TITAN X’s 36305. This is a negligible difference, indicating near-identical compute performance in this benchmark.
Q: Does the RX 5300M support hardware ray tracing?
A: No. The FACT PACK lists no ray tracing cores, and the RDNA 1.0 architecture does not include dedicated ray tracing hardware. Any ray tracing would be handled by the 1408 shading units at significantly reduced efficiency.
Q: What is the memory configuration, and how does it affect gaming?
A: The GPU has 3 GB of GDDR6 memory on a 96-bit bus, providing 168.0 GB/s bandwidth. This is sufficient for 1080p medium settings but will cause performance drops in games requiring more than 3 GB of VRAM.
Q: What API versions are supported?
A: The RX 5300M supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, ensuring broad compatibility with modern titles and applications.
Q: How does the RX 5300M rank among all GPUs?
A: It sits at the 80th percentile, meaning it performs better than 80% of all GPUs in the database, based on its average benchmark score of 36371.
Q: What is the FP32 compute capability?
A: The GPU delivers 4.069 TFLOPS of FP32 performance, with FP16 at 8.138 TFLOPS (2:1 ratio). This aligns with its mid-range positioning.
Who Should Consider It
The RX 5300M is a compelling option for users targeting 1080p gaming at medium to high settings in titles that do not exceed 3 GB of VRAM. Its benchmark performance, sitting 0.2% ahead of the GTX TITAN X and 0.7% ahead of the RX 7900 GRE in OpenCL, shows a strong compute core that handles most rasterized games capably. The 80th percentile ranking reinforces that this GPU outperforms the vast majority of the GPU population, making it suitable for esports and older AAA titles where memory capacity is not a constraint.
However, the 3 GB VRAM is a hard ceiling. Users who play modern, texture-heavy games at 1080p with ultra settings will encounter memory-related stuttering and frame drops. The 168.0 GB/s bandwidth is adequate for the pixel rate of 46.24 GPixel/s, but the narrow 96-bit bus limits high-resolution performance. For 1440p gaming, the data does not support this GPU as a viable choice—the memory subsystem will become the primary bottleneck, negating the compute advantage shown in the benchmark scores.
The lack of ray tracing cores further narrows the audience. Gamers who prioritize ray-traced effects should look elsewhere, as the RX 5300M has no hardware acceleration for this feature. Conversely, users with a library of DX12 and Vulkan titles that rely on traditional shading will find the RX 5300M a capable performer, provided they accept the 3 GB memory limitation. The 85 W TDP and lack of power connectors indicate this is a power-efficient mobile design, suitable for thin-and-light laptops where thermal headroom is limited. Ultimately, this GPU is best suited for 1080p medium-settings gaming in a portable form factor, with the understanding that its strengths in raw compute do not translate to high-res or ray-traced workloads.
The NVIDIA Equivalent of Radeon RX 5300M
Looking for a similar graphics card from NVIDIA? The NVIDIA GeForce RTX 2060 TU104 offers comparable performance and features in the NVIDIA lineup.
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