Performance Rating
The GeForce RTX 5080 is an enthusiast-class graphics card by NVIDIA, launched on January 30th, 2025. Built on the 5 nm process, and based on the GB203 graphics processor, in its GB203-400-A1 variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on GeForce RTX 5080. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The GB203 graphics processor is a large chip with a die area of 378 mm² and 45,600 million transistors. It features 10752 shading units, 336 texture mapping units, and 112 ROPs. Also included are 336 tensor cores which help improve the speed of machine learning applications. The card also has 84 raytracing acceleration cores. NVIDIA has paired 16 GB GDDR7 memory with the GeForce RTX 5080, which are connected using a 256-bit memory interface. The GPU is operating at a frequency of 2295 MHz, which can be boosted up to 2617 MHz, memory is running at 1875 MHz (30 Gbps effective).
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering NVENC / NVDEC Benchmarks AdditionalMemory
Memory Size
Memory Type
Memory Bandwidth
Memory Bus Width
ML Performance
FP16 (Half Precision)
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
FP64 (Double Precision)
CUDA Cores
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
PCIe Version
ML Software Support
CUDA Version
Clocks & Performance
Base Clock
Boost Clock
Memory Clock
Power Consumption
TDP/TGP
Recommended PSU
Power Connector
NVENC / NVDEC
NVENC Generation
NVENC Chips
Max Encoding Sessions
Encoding (NVENC)
NVDEC Generation
NVDEC Chips
Decoding (NVDEC)
Benchmarks
Hashcat: MD5
Hashcat: SHA-256
Hashcat: SHA-512
Additional
Slots
Release Date
Display Outputs
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Флагманская GPU на архитектуре Hopper с 80 ГБ памяти HBM3 в форм-факторе SXM. Создана для обучения и инференса больших языковых моделей, HPC задач. Поддерживает FP64, FP32, TF32, FP16, BF16, FP8 и INT8 вычисления с Tensor Cores 4-го поколения.
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