Explore the complete details of Moore Threads MTT S80, including specs, performance benchmarks
features a MUSA architecture. with 4096 CUDA cores. It offers GDDR6 memory with 16 GB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 448.0 GB/s GB/s. With a power consumption (TDP) of 255W. it supports DirectX 12 Ultimate (12_2), Vulkan 1.4 for enhanced performance.
Basic details about the Moore Threads MTT S80, including manufacturer, ranking, and release date.
Title | Moore Threads MTT S80 |
---|---|
Manufacturer | |
Ranking | 614 |
Popularity Rank | not in top-100 |
Architecture | MUSA |
GPU code name | Chunxiao |
Market Segmente | Desktop |
Length - Width | 285 mm - 2-slot |
Release Date | no data |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of Moore Threads MTT S80.
Core Clock Speed | 1800 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 14.75 TFLOPS |
No of Transistors | 22,000 million |
CUDA Cores | 4096 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 460.8 |
ROPs | 256 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 5.0 x16 |
---|---|
Display Connectors | 1x HDMI 2.1, 3x DisplayPort 1.4a |
HDMI | 1 |
DirectX | 12 Ultimate (12_2) |
Shader Model | 6.5 |
OpenGL | 4.6 |
OpenCL | 3.0 |
Vulkan | 1.4 |
CUDA | N/A |
DLSS | N/A |
TMUs | 256 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR6 |
---|---|
Maximum RAM | 16 GB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 1750 MHz |
Memory Bandwidth | 448.0 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 255 W |
---|---|
Power Efficiency | 1.76 |
Manufacturing Process | 12 nm |
Supplementary Power Connectors | 1x 8-pin |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.