Apple Mac Pro 16-Core (2019)
Technical data and benchmarks

Apple Mac Pro 16-Core (2019)

Device

Colours: Silver
Price from: 7,999 $ / 8,899 €
Release date: Q2/2019

Processor

Name: Intel Xeon W-3245
Manufacturer: Intel
Cores / Threads: 16 / 32
Frequency: 3.20 (4.60) GHz
Structure: 14 nm
Architecture: Cascade Lake SP
Release date: Q2/2019

Memory

Memory Size: 32 - 768 GB
Memory Type: DDR4 2933
Memory Bandwith: --
Upgradeable? Yes

Graphic card

Name: AMD Radeon Pro 580X
Type: Dedicated
Frequency: 1.10 (1.20) GHz
Memory Size: 8.00 GB
Memory Type: GDDR5
Structure: 14 nm
Release date: Q1/2019

Screen

Size: --
Resolution:
Ratio: --
Technology: --
Max. Brightness: --
HDR support: No
Always On Display: No
1. external display: 6016 x 3384 @ 60 Hz
2. external display: 6016 x 3384 @ 60 Hz
3. external display: --

Storage

Size: 256 - 8,192 GB
Type: SSD
Interface: PCIe
Upgradeable? Yes
2. drive: --
Card reader: --

Network

Wireless LAN: 802.11ac
LAN: --
Bluetooth: Bluetooth 5.0
Cellular: --

Camera

Front camera: --
%%c_camera_back1_name%%: %%c_camera_back1%%
%%c_camera_back2_name%%: %%c_camera_back2%%
%%c_camera_back3_name%%: %%c_camera_back3%%

Ports

HDMI: --
DVI: --
DisplayPort: --
Thunderbolt: 2x USB-C (Thunderbolt 3, DisplayPort, USB 3.1 Gen 2)
USB: 2x USB 3.0
USB-C: 2x (Thunderbolt 3)
Lightning: --
Other: --

Dimensions / Housing

Height: 529 mm
Width: 450 mm
Depth: 218 mm
Weight: 18,000 g
Housing Material: --
Glas Type: --
IP Protection Class: --

Additional data

Part-no: A1991
Ident-No: MacPro7,1
EMC-No: 3203
Security features: Apple T2 Security Chip
data sheet: Link to manufacturer

Benchmark results

Geekbench 6 - Single Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 6 benchmark results



Geekbench 6 - Multi Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

Apple MacBook Air 13" M3 10-GPU (2024)
8 - 24 GB LPDDR5
11,863
Amazon
Apple MacBook Pro 14" M3 8-CPU 10-GPU (2023)
8 - 24 GB LPDDR5
11,863
Amazon
Apple MacBook Air 15" M3 10-GPU (2024)
8 - 24 GB LPDDR5
11,863
Amazon
Apple MacBook Pro 14" M1 Pro 8-CPU 14-GPU (2021)
16 - 32 GB LPDDR5
10,412
Amazon
Apple Mac Pro 16-Core (2019)
32 - 768 GB DDR4
10,362
Amazon
Apple Mac Pro 28-Core (2019)
32 - 1,536 GB DDR4
10,350
Amazon
Apple MacBook Air 13" M2 8-GPU (2022)
8 - 24 GB LPDDR5
10,062
Amazon
Apple MacBook Air 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
10,062
Amazon
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
10,062
Amazon
View all Geekbench 6 benchmark results



Geekbench 5 - Single Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 5 benchmark results



Geekbench 5 - Multi Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 5 benchmark results



FP32 Performance (Single-precision TFLOPS) - FP32 (TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS. TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second. The larger this number, the faster the graphics card is.

View all FP32 Performance (Single-precision TFLOPS) benchmark results



More benchmarks for
Apple Mac Pro 16-Core (2019)

In order to determine the performance of a computer or a component in it, so-called "benchmarks" are carried out. The benchmark software carries out special calculations and measures the time it takes for the computer to complete the calculations. Since the benchmarks always run the same, the performance of several computers can be reliably compared with one another.

For this we use so-called theoretical or synthetic benchmarks such as Geekbench or Cinebench, as these support both x86 and ARM instruction sets in the current versions. We guarantee real comparability of the results by ensuring that the benchmarks are executed identically and correctly as well as by the condition of the system.

We currently use the following benchmarks to assess the performance of the products listed on our website:

Apple Devices




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