RTX 4000 SFF Ada Generation vs Apple M1 Max 32-Core GPU

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Primary details

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

Place in the rankingnot rated48
Place by popularitynot in top-100not in top-100
Power efficiencyno data52.91
Architectureno dataAda Lovelace (2022−2024)
GPU code nameno dataAD104
Market segmentLaptopWorkstation
Release date10 November 2020 (4 years ago)21 March 2023 (1 year 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 cores326144
Core clock speed1296 MHz720 MHz
Boost clock speedno data1560 MHz
Number of transistorsno data35,800 million
Manufacturing process technology5 nm5 nm
Power consumption (TDP)44 Watt70 Watt
Texture fill rateno data299.5
Floating-point processing powerno data19.17 TFLOPS
ROPsno data80
TMUsno data192
Tensor Coresno data192
Ray Tracing Coresno data48

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 4.0 x16
Lengthno data168 mm
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 typeLPDDR5-6400GDDR6
Maximum RAM amountno data20 GB
Memory bus width512 Bit160 Bit
Memory clock speedno data1750 MHz
Memory bandwidthno data280.0 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 data4x mini-DisplayPort 1.4a

API compatibility

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

DirectXno data12 Ultimate (12_2)
Shader Modelno data6.8
OpenGLno data4.6
OpenCLno data3.0
Vulkan-1.3
CUDA-8.9

Pros & cons summary


Recency 10 November 2020 21 March 2023
Power consumption (TDP) 44 Watt 70 Watt

Apple M1 Max 32-Core GPU has 59.1% lower power consumption.

RTX 4000 SFF Ada Generation, on the other hand, has an age advantage of 2 years.

We couldn't decide between M1 Max 32-Core GPU and RTX 4000 SFF Ada Generation. We've got no test results to judge.

Be aware that Apple M1 Max 32-Core GPU is a notebook card while RTX 4000 SFF Ada Generation 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 Max 32-Core GPU
M1 Max 32-Core GPU
NVIDIA RTX 4000 SFF Ada Generation
RTX 4000 SFF Ada Generation

Comparisons with similar GPUs

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Community ratings

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4.1 453 votes

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4.3 49 votes

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Questions & comments

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