Apple M4 16-core GPU vs RTX 4000 SFF Ada Generation

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Primary details

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

Place in the ranking47not rated
Place by popularitynot in top-100not in top-100
Power efficiency53.18no data
ArchitectureAda Lovelace (2022−2024)no data
GPU code nameAD104no data
Market segmentWorkstationDesktop
Release date21 March 2023 (1 year ago)no data (2024 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 cores614416
Core clock speed720 MHzno data
Boost clock speed1560 MHzno data
Number of transistors35,800 millionno data
Manufacturing process technology5 nmno data
Power consumption (TDP)70 Wattno data
Texture fill rate299.5no data
Floating-point processing power19.17 TFLOPSno data
ROPs80no data
TMUs192no data
Tensor Cores192no data
Ray Tracing Cores48no data

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).

InterfacePCIe 4.0 x16no data
Length168 mmno data
Width2-slotno data
Supplementary power connectorsNoneno data

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 typeGDDR6LPDDR5x-8533
Maximum RAM amount20 GBno data
Memory bus width160 Bitno data
Memory clock speed1750 MHzno data
Memory bandwidth280.0 GB/sno data

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 Connectors4x mini-DisplayPort 1.4ano data

API compatibility

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

DirectX12 Ultimate (12_2)no data
Shader Model6.8no data
OpenGL4.6no data
OpenCL3.0no data
Vulkan1.3-
CUDA8.9-

Pros & cons summary


We couldn't decide between RTX 4000 SFF Ada Generation and Apple M4 16-core GPU. We've got no test results to judge.

Be aware that RTX 4000 SFF Ada Generation is a workstation graphics card while Apple M4 16-core GPU is a desktop 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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NVIDIA RTX 4000 SFF Ada Generation
RTX 4000 SFF Ada Generation
Apple M4 16-core GPU
M4 16-core GPU

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Community ratings

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