AMD Radeon R5 M420
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD Radeon R5 M420 Specifications
Radeon R5 M420 GPU Core
Shader units and compute resources
The AMD Radeon R5 M420 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.
R5 M420 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon R5 M420'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 R5 M420 by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon R5 M420 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon R5 M420'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 R5 M420 by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the R5 M420, 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.
R5 M420 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon R5 M420 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 R5 M420 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 R5 M420 will perform in GPU benchmarks compared to previous generations.
AMD's Radeon R5 M420 Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon R5 M420 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 R5 M420 to maintain boost clocks without throttling.
Radeon R5 M420 by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon R5 M420 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 R5 M420. 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 R5 M420 Product Information
Release and pricing details
The AMD Radeon R5 M420 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 R5 M420 by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon R5 M420 Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD Radeon R5 M420 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
About AMD Radeon R5 M420
The AMD Radeon R5 M420 is a 28 nm GCN 1.0 part built for the mobile segment, specifically designed as an integrated graphics processor (IGP) for laptops from the Gem System (R5 M400) generation. Based on the Jet chip with 690 million transistors on a 56 mm² die, this end-of-life product targets entry-level computing rather than high-end gaming. Its single benchmark result in Geekbench OpenCL places it at the 22nd percentile of all GPUs, meaning it outperforms roughly a fifth of the database and lags behind the vast majority. The data indicates a part that is fundamentally limited by its modest specifications, and the following sections break down exactly where it stands.
Benchmark Performance
The Radeon R5 M420 delivers a Geekbench OpenCL score of 3911, which serves as its average benchmark score as well. This figure places it in a tight cluster of professional NVIDIA Quadro parts, with the nearest rival being the NVIDIA Quadro K2100M at 3912 — a negligible 0% delta. The practical takeaway is that these two GPUs are functionally interchangeable in raw compute workloads, with neither holding any meaningful edge.
Against the other rivals in its immediate vicinity, the deltas remain minimal. The R5 M420 trails the NVIDIA Quadro K2000D (3919) by 0.2%, a margin so small that run-to-run variance would likely erase it. It edges ahead of the NVIDIA Quadro P1000 (3900) by 0.3%, again a statistically insignificant difference. The largest gap is against the NVIDIA Quadro 2000D (3930), where the AMD part falls behind by 0.5%. In absolute terms, all four competitors sit within a 30-point range, making this a dead heat across the board.
The 544.0 GFLOPS of FP32 compute power translates to a pixel rate of 6.800 GPixel/s and a texture rate of 17.00 GTexel/s. These numbers explain the 22nd percentile ranking: the card is capable of basic 2D workloads and light 3D acceleration, but it will struggle with any modern game that demands sustained shader throughput. Benchmark results indicate that for general-purpose OpenCL tasks, this GPU performs at the level of a mid-range workstation card from several generations ago, which is consistent with its 2016 release date. Do not expect this score to translate into playable frame rates at high settings; it is a compute-oriented metric that reflects raw parallel processing, not gaming optimization.
Ray Tracing and Feature Set
This GPU does not include dedicated ray tracing or tensor cores — the FACT PACK lists both as null. That omission is expected for a GCN 1.0 architecture from 2016, which predates hardware-accelerated ray tracing by several years. Consequently, any ray-traced effects in games or applications would rely entirely on software fallbacks, which is impractical given the modest compute performance.
The API support tells a more nuanced story. The R5 M420 supports DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.170. This means it can run titles built on modern API foundations, but the DirectX 11_1 feature level is the key limitation — it does not access the full DirectX 12 feature set. For gaming, this translates to compatibility with a wide range of games, but at reduced settings and with potential feature downgrades. Vulkan 1.2.170 support is notably solid for a card of this era, which could help in certain Linux or Vulkan-based titles, though the underlying hardware constraints remain unchanged.
The absence of tensor cores also means no AI-accelerated features like DLSS or similar upscaling technologies. The shading units (320), texture mapping units (20), and render output units (8) are the only processing resources available, and they must handle all rendering tasks. In practice, this GPU is best suited for older titles or esports games with low graphical demands, where its DirectX 11_1 support is sufficient. For modern AAA releases, the feature set is adequate for entry, but the hardware will bottleneck long before API limitations become the primary issue.
Memory Subsystem
The R5 M420 is equipped with 4 GB of DDR3 memory on a 64-bit bus, yielding a memory bandwidth of 16.00 GB/s at a memory clock of 1000 MHz (2 Gbps effective). This is a critical bottleneck for the card. The 64-bit bus width is narrow, and DDR3 is slow compared to the GDDR5 or HBM used in higher-tier GPUs. The resulting 16.00 GB/s bandwidth is roughly one-tenth of what a modern mid-range card provides, which severely restricts performance at higher resolutions.
For 1080p gaming, the 4 GB frame buffer is sufficient for texture-heavy titles, but the bandwidth constraint means that high-resolution textures will cause stuttering or frame drops when the memory subsystem is saturated. At 1440p or above, the card is simply not viable for gaming — the bandwidth would choke on the increased pixel throughput. The pixel rate of 6.800 GPixel/s reinforces this: even if the GPU cores could keep up, the memory cannot feed them fast enough. In compute workloads, the 16.00 GB/s bandwidth limits OpenCL performance, which is why the score sits near parity with older Quadro parts that also have modest memory systems.
The 4 GB capacity, however, is a point in its favor for non-gaming tasks. Running multiple monitors or handling large desktop environments is fine, and the VRAM is unlikely to be exhausted in typical productivity use. But for any 3D application that requires frequent texture streaming, the bandwidth will be the limiting factor. The data suggests that this card is best used at 720p or 1080p with low-to-medium settings, where the memory subsystem can keep pace with the GPU cores.
How It Compares
NVIDIA Quadro K2100M: The R5 M420 and the K2100M are tied at 3911 vs 3912, a 0% difference. These cards are effectively identical in compute performance. The choice between them would come down to driver preferences or platform compatibility, not speed. For users with legacy applications that favor NVIDIA's OpenGL drivers, the K2100M might be preferable, but raw numbers show no winner.
NVIDIA Quadro K2000D: The R5 M420 trails the K2000D by 0.2% (3911 vs 3919). This is a negligible margin that falls within measurement error. Both cards are from similar eras and target the same entry-level professional segment. The AMD card offers a larger 4 GB frame buffer compared to the K2000D's typical 2 GB, which could help in memory-constrained workloads, but the bandwidth is equally limited.
NVIDIA Quadro P1000: The R5 M420 leads the P1000 by 0.3% (3911 vs 3900). The P1000 is a newer Pascal-based card, yet its OpenCL score is slightly lower. This highlights that synthetic benchmarks do not always reflect architectural age — the AMD part holds its own in this specific test. However, the P1000 likely has better driver optimization for professional applications, which this benchmark does not capture.
NVIDIA Quadro 2000D: The R5 M420 falls behind the 2000D by 0.5% (3911 vs 3930). This is the largest delta in the group, but still minor. The 2000D is an older Fermi-based card, so the AMD part being slightly slower is notable. It suggests that the R5 M420's GCN 1.0 architecture is comparable to two-generations-old NVIDIA professional hardware, which is a reasonable expectation for a 2016 integrated GPU.
Overall, the R5 M420 sits in a performance dead zone. It is not faster than any rival by more than 0.3%, and not slower by more than 0.5%. This is a card that trades blows with low-end workstation GPUs from the early-to-mid 2010s, and it does not break out of that pack.
Who Should Consider It
Given the 22nd percentile ranking and the 3911 OpenCL score, the R5 M420 is for users with very modest graphical needs. At 1080p, this card can handle esports titles like older MOBAs or CS:GO-style shooters on low settings, where the 544.0 GFLOPS of FP32 power is sufficient. The 4 GB VRAM is a plus for running multiple browser tabs or office applications, but it will not help gaming performance beyond what the bandwidth allows.
For 720p gaming, the R5 M420 is more viable. The lower pixel count reduces the strain on the 16.00 GB/s memory bandwidth, allowing the GPU cores to operate closer to their peak. Older games from the early 2010s or indie titles with simple graphics should run acceptably. However, the lack of ray tracing and tensor cores means no future-proofing for modern rendering techniques — this is a card for playing the past, not the present.
Users who primarily need a GPU for video playback, basic photo editing, or office productivity will find the R5 M420 adequate. The DirectX 12 (11_1) and Vulkan 1.2.170 support ensure compatibility with current operating systems and applications. But for any serious gaming, the data is clear: this card ranks in the bottom 22% of all GPUs, and its nearest rivals are all 0.5% or less away in performance, meaning there is no hidden headroom. If you have this card in a laptop, keep expectations at "casual use" and you will not be disappointed.
Power and Cooling
The FACT PACK lists the TDP as null, the slot width as IGP, and no power connectors or suggested PSU. This indicates that the R5 M420 is an integrated graphics processor designed to draw power from the motherboard or system power delivery, not from a dedicated PCIe power connector. As such, there is no standalone PSU recommendation — the laptop's existing power supply is sufficient.
The 28 nm process node and 690 million transistors suggest a relatively low power draw, but without a TDP figure, precise consumption cannot be quoted. The IGP designation means cooling is handled by the laptop's shared thermal solution, typically a heat pipe and fan assembly. Since it is an integrated part, there is no aftermarket cooler compatibility or slot width consideration — it is soldered or embedded into the motherboard.
The PCIe 3.0 x8 bus interface is the only connection requirement, which is standard for mobile IGPs. This narrow interface does not bottleneck the GPU given its memory bandwidth and compute limits. For upgrade considerations, the end-of-life production status means no future driver optimizations are likely, but the low power footprint makes it a safe component for thin-and-light laptops where thermal headroom is scarce. Users should not attempt to overclock or modify this GPU, as the integrated design limits any such adjustments.
The NVIDIA Equivalent of Radeon R5 M420
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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