AMD Radeon RX 7900M
AMD graphics card specifications and benchmark scores
Ray TracingAt a Glance
AMDAMD Radeon RX 7900M Specifications
Radeon RX 7900M GPU Core
Shader units and compute resources
The AMD Radeon RX 7900M 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 7900M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Radeon RX 7900M'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 7900M by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's Radeon RX 7900M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Radeon RX 7900M'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 7900M by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RX 7900M, 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 7900M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD Radeon RX 7900M 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.
Radeon RX 7900M Ray Tracing & AI
Hardware acceleration features
The AMD Radeon RX 7900M includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the RX 7900M capable of delivering both stunning graphics and smooth frame rates in modern titles.
RDNA 3.0 Architecture & Process
Manufacturing and design details
The AMD Radeon RX 7900M is built on AMD's RDNA 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 RX 7900M will perform in GPU benchmarks compared to previous generations.
AMD's Radeon RX 7900M Power & Thermal
TDP and power requirements
Power specifications for the AMD Radeon RX 7900M 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 7900M to maintain boost clocks without throttling.
Radeon RX 7900M by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD Radeon RX 7900M 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 7900M. 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 7900M Product Information
Release and pricing details
The AMD Radeon RX 7900M 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 7900M by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Radeon RX 7900M Benchmark Scores
3dmark_3dmark_steel_nomad_dx12Source
3DMark Steel Nomad is the latest GPU benchmark running at native 4K with DirectX 12. It's roughly 3x more demanding than Time Spy, testing AMD Radeon RX 7900M with cutting-edge rendering techniques. The benchmark uses state-of-the-art graphics technologies to stress modern hardware.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD Radeon RX 7900M handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
Top 5 Performers
Nearby Performers
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how AMD Radeon RX 7900M performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL. Modern games and applications increasingly use Vulkan for cross-platform GPU acceleration.
Top 5 Performers
Nearby Performers
About AMD Radeon RX 7900M
The AMD Radeon RX 7900M is a mobile flagship built on the RDNA 3.0 architecture, leveraging the Navi 31 chip with 57,700 million transistors on a 5 nm TSMC process. It sits in the 95th percentile of all GPUs, indicating top-tier performance, with an average benchmark score of 91,713 across its tested workloads. The data positions it as a high-end solution for laptops, though its exact placement relative to professional and workstation-class competitors reveals a nuanced competitive landscape.
How It Compares
The RX 7900M’s closest rival is the NVIDIA RTX A4500, which posts an average score of 92,145. The delta is a mere -0.5%, meaning the RX 7900M trails by half a percentage point—a statistical tie in practical terms. Benchmark results indicate that in mixed workloads, these two cards are effectively interchangeable, with the NVIDIA part holding a razor-thin edge that would be imperceptible in real-world usage.
Against the NVIDIA RTX A4500 Mobile, the RX 7900M takes a slight lead. The rival averages 91,134, and the deltaPct of 0.6% shows the AMD part is ahead by just over half a percent. This is another near-parity result, suggesting that both mobile and desktop variants of the A4500 land within the same performance envelope as the RX 7900M, with no clear winner emerging from the aggregate data.
The gap widens when comparing to the AMD Radeon Pro VII, which scores 88,961. Here, the RX 7900M holds a 3.1% advantage. While this is not a dominant lead, it is consistent across the benchmark suite, indicating that the Radeon Pro VII—a workstation-oriented card from the same manufacturer—cannot match the mobile part’s overall throughput. The RX 7900M’s newer architecture and higher memory bandwidth contribute to this edge.
The largest margin is against the NVIDIA Quadro GP100, which averages 88,528. The RX 7900M leads by 3.6%, a modest but measurable difference. The Quadro GP100 is an older professional card, and the data shows the RX 7900M outperforms it in aggregate, though the delta is not so large as to suggest a generational leap. Instead, it reflects incremental gains in raw compute and memory efficiency.
Ray Tracing and Feature Set
The RX 7900M is equipped with 72 ray accelerators, which are the RDNA 3.0 implementation of dedicated ray tracing hardware. This count is substantial for a mobile GPU, providing dedicated circuitry for bounding volume hierarchy traversal and ray intersection tests. The inclusion of these cores means the card can handle ray-traced effects without relying entirely on shader-based approximations, though the raw RT throughput is not quantified in the data.
API support is comprehensive for modern and forward-looking titles. The card supports DirectX 12 Ultimate with feature level 12_2, which encompasses hardware ray tracing, mesh shaders, and variable rate shading—key features for current AAA games. Vulkan 1.4 is also supported, offering low-overhead access to the GPU for both gaming and compute workloads. OpenGL 4.6 is present as well, ensuring compatibility with older applications and professional software.
Notably, the data does not list tensor cores for this GPU. Unlike NVIDIA rivals that employ dedicated tensor hardware for AI acceleration and DLSS, the RX 7900M relies on its standard compute units for such tasks. This is not a deficiency in the benchmark scores presented, but it means any AI-driven upscaling or denoising would operate through general-purpose shaders rather than specialized silicon. The feature set is robust for rasterization and RT, but lacks the dedicated AI acceleration found on competing parts.
Who Should Consider It
The benchmark scores indicate that the RX 7900M is suited for high-refresh-rate gaming at 1440p and comfortable 4K performance in less demanding titles. Its 16 GB of GDDR6 memory and 576.0 GB/s bandwidth provide ample headroom for texture-heavy scenes at high resolutions, and the 38.52 TFLOPS of FP32 compute power handles modern rasterized workloads with ease. Users targeting maximum settings at 1440p will find the card capable of maintaining high frame rates in most games.
For ray tracing, the 72 RT cores offer a baseline capability, but the lack of tensor cores suggests that heavy RT workloads may require compromises in resolution or quality settings. Gamers who prioritize RT effects should expect playable, but not exceptional, performance at 1440p, while 4K RT may necessitate lower settings. The card’s 95th percentile ranking places it above the vast majority of GPUs, so it is a strong choice for enthusiasts who want a top-tier mobile solution.
Those with professional or content-creation workloads will also benefit. The Geekbench OpenCL score of 117,665 and Vulkan score of 153,274 indicate strong compute throughput for rendering and simulation tasks. The 3DMark Steel Nomad DX12 score of 4,201 further confirms its gaming prowess. However, the near-parity with workstation cards like the RTX A4500 means it offers no significant advantage in professional applications, making it a balanced but not specialized tool.
FAQ
Q: How does the RX 7900M perform in DirectX 12 gaming compared to its nearest rival?
A: In the 3DMark Steel Nomad DX12 test, the RX 7900M scores 4,201. Its closest rival, the NVIDIA RTX A4500, has an average score of 92,145, with a delta of -0.5%, indicating the AMD card is essentially on par in aggregate, though the specific DX12 score is not directly comparable to the average.
Q: What is the memory bandwidth of the RX 7900M?
A: The card features a 256-bit memory bus with 16 GB of GDDR6 memory, delivering a bandwidth of 576.0 GB/s. This is sufficient for high-resolution textures and 4K gaming, though the effective memory speed is 18 Gbps.
Q: Does the RX 7900M support hardware ray tracing?
A: Yes, it includes 72 RT cores dedicated to ray tracing. It also supports DirectX 12 Ultimate (12_2), which mandates hardware RT support, along with Vulkan 1.4 and OpenGL 4.6 for broader API compatibility.
Q: How does the RX 7900M compare to the AMD Radeon Pro VII?
A: The RX 7900M has an average benchmark score of 91,713, while the Radeon Pro VII scores 88,961. This gives the RX 7900M a 3.1% lead, making it faster in aggregate across the tested benchmarks.
Q: What is the power draw of the RX 7900M?
A: The thermal design power (TDP) is 180 W. As a mobile IGP, it uses no power connectors and relies on the laptop’s cooling solution, with a slot width of IGP, indicating it is soldered to the motherboard.
Q: Is the RX 7900M suitable for 4K gaming?
A: With 16 GB of VRAM and 576.0 GB/s bandwidth, it can handle 4K, but its 38.52 TFLOPS of FP32 compute suggests it is better suited for 1440p high-refresh-rate gaming. For 4K, users may need to adjust settings, especially when ray tracing is enabled.
Memory Subsystem
The RX 7900M is equipped with 16 GB of GDDR6 memory on a 256-bit bus, yielding a total bandwidth of 576.0 GB/s. This configuration is well-balanced for a mobile flagship, providing enough capacity for modern game assets at 4K without resorting to texture streaming. The 256-bit bus is narrower than some desktop flagships, but the high effective memory speed of 18 Gbps compensates, delivering a bandwidth figure that exceeds many workstation cards.
At high resolutions, the memory subsystem is a critical factor. The 576.0 GB/s bandwidth allows the GPU to feed its 4608 shading units and 192 ROPs efficiently, preventing bottlenecks in pixel-heavy scenes. The 16 GB capacity ensures that ultra-high-resolution texture packs and complex scenes do not exceed VRAM limits, which is particularly important for future titles. The pixel rate of 401.3 GPixel/s and texture rate of 601.9 GTexel/s indicate that the memory interface can sustain high fill rates, making the card capable of driving 4K displays with demanding settings.
Compared to its rivals, the memory configuration is a strong point. The RTX A4500 and A4500 Mobile, which are near-parity in performance, do not have their memory specs listed in the data, but the RX 7900M’s 576.0 GB/s bandwidth is a substantial figure. The 16 GB capacity also positions it well for professional workloads that require large datasets, though the lack of tensor cores means AI-accelerated tasks will be slower than on competing NVIDIA parts. Overall, the memory subsystem is a well-matched component for the GPU’s compute capabilities, offering no obvious weakness for gaming or rendering workloads.
The NVIDIA Equivalent of Radeon RX 7900M
Looking for a similar graphics card from NVIDIA? The NVIDIA GeForce RTX 4090 D offers comparable performance and features in the NVIDIA lineup.
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