Performance Rating
The Arc A730M was a mobile graphics chip by Intel, launched in 2022. Built on the 6 nm process, and based on the DG2-512 graphics processor, in its ACM-G10 variant, the chip supports DirectX 12 Ultimate. This ensures that all modern games will run on Arc A730M. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The DG2-512 graphics processor is a large chip with a die area of 406 mm² and 21,700 million transistors. Unlike the fully unlocked Arc A770, which uses the same GPU but has all 4096 shaders enabled, Intel has disabled some shading units on the Arc A730M to reach the product's target shader count. It features 3072 shading units, 192 texture mapping units, and 96 ROPs. Also included are 384 tensor cores which help improve the speed of machine learning applications. The card also has 24 raytracing acceleration cores. Intel has paired 12 GB GDDR6 memory with the Arc A730M, which are connected using a 192-bit memory interface. The GPU is operating at a frequency of 1100 MHz, which can be boosted up to 2050 MHz, memory is running at 1750 MHz (14 Gbps effective).
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering 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
Recommended PSU
Power Connector
TDP/TGP
Rendering
Texture Units (TMU)
ROP
L2 Cache
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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