Performance Rating
The GeForce RTX 5070 Ti Mobile will be a mobile graphics chip by NVIDIA, that is expected to launch in 2025. Built on the 4 nm process, and based on the GB205 graphics processor, in its GB205 variant, the chip supports DirectX 12 Ultimate. This ensures that all modern games will run on GeForce RTX 5070 Ti Mobile. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. It features 6400 shading units, 200 texture mapping units, and 64 ROPs. Also included are 200 tensor cores which help improve the speed of machine learning applications. The card also has 50 raytracing acceleration cores. NVIDIA has paired 12 GB GDDR7 memory with the GeForce RTX 5070 Ti Mobile, which are connected using a 192-bit memory interface. The GPU is operating at a frequency of 2235 MHz, which can be boosted up to 2520 MHz, memory is running at 2000 MHz (25.4 Gbps effective).
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering 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
Benchmarks
Hashcat: MD5
Hashcat: SHA-256
Hashcat: SHA-512
Blender: Blend File: Barbershop - Compute: NVIDIA CUDA
Blender: Blend File: Barbershop - Compute: NVIDIA OptiX
Blender: Blend File: Fishy Cat - Compute: NVIDIA CUDA
Blender: Blend File: Fishy Cat - Compute: NVIDIA OptiX
Blender: Blend File: Junkshop - Compute: NVIDIA CUDA
Blender: Blend File: Junkshop - Compute: NVIDIA OptiX
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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