Tesla V100 SXM2 16 GB vs Apple M1 8-Core GPU

Primary details

GPU architecture, market segment, value for money and other general parameters compared.

Place in the ranking356not rated
Place by popularitynot in top-100not in top-100
Architectureno dataVolta (2017−2020)
GPU code nameno dataGV100
Market segmentLaptopWorkstation
Release date10 November 2020 (4 years ago)21 June 2017 (7 years ago)

Detailed specifications

General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.

Pipelines / CUDA cores85120
Core clock speed1278 MHz1312 MHz
Boost clock speedno data1530 MHz
Number of transistorsno data21,100 million
Manufacturing process technology5 nm12 nm
Power consumption (TDP)no data250 Watt
Texture fill rateno data489.6
Floating-point processing powerno data15.67 TFLOPS
ROPsno data128
TMUsno data320
Tensor Coresno data640

Form factor & compatibility

Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).

Interfaceno dataPCIe 3.0 x16
Widthno data2-slot
Supplementary power connectorsno dataNone

VRAM capacity and type

Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.

Memory typeno dataHBM2
Maximum RAM amountno data16 GB
Memory bus widthno data4096 Bit
Memory clock speedno data876 MHz
Memory bandwidthno data897.0 GB/s
Shared memory+-

Connectivity and outputs

Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.

Display Connectorsno dataNo outputs

API compatibility

List of supported 3D and general-purpose computing APIs, including their specific versions.

DirectXno data12 (12_1)
Shader Modelno data6.4
OpenGLno data4.6
OpenCLno data1.2
Vulkan-1.2.131
CUDA-7.0

Pros & cons summary


Recency 10 November 2020 21 June 2017
Chip lithography 5 nm 12 nm

Apple M1 8-Core GPU has an age advantage of 3 years, and a 140% more advanced lithography process.

We couldn't decide between Apple M1 8-Core GPU and Tesla V100 SXM2 16 GB. We've got no test results to judge.

Be aware that Apple M1 8-Core GPU is a notebook card while Tesla V100 SXM2 16 GB is a workstation one.


Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.

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Apple M1 8-Core GPU
M1 8-Core GPU
NVIDIA Tesla V100 SXM2 16 GB
Tesla V100 SXM2 16 GB

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Community ratings

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