Apple Mac mini i7 3.2 (2018)
- vs -
Apple MacBook Pro 13" M2 10-GPU (2022)
Product comparison with benchmarks
-VS-
Device Information |
||
| Space Grey | Colours | Silver, Space Gray |
| 1,299 $ / 1,489 € | Price from | 1,299 $ / 1,599 € |
| Q4/2018 | Release date | Q2/2022 |
Processor |
||
| Intel Core i7-8700B | Name | Apple M2 |
| Intel | Manufacturer | Apple |
| 6 / 12 | Cores / Threads | 8 / 8 |
| 3.20 (4.60) GHz | Frequency | 3.50 GHz |
| 14 nm | Structure | 5 nm |
| Coffee Lake S | Architecture | M2 (Avalanche / Blizzard) |
| Q2/2018 | Release date | Q2/2022 |
Memory |
||
| 8 - 64 GB | Memory Size | 8 - 24 GB |
| DDR4 2666 | Memory Type | LPDDR5 6400 |
| -- | Memory Bandwith | 102.4 GB/s |
| Yes | Upgradeable? | No |
Graphic card |
||
| Intel UHD Graphics 630 | Name | Apple M2 - 10 GPU Cores |
| Internal | Type | Internal |
| 0.35 (1.15) GHz | Frequency | 1.40 GHz |
| 1.50 GB | Memory Size | 24.00 GB |
| -- | Memory Type | LPDDR5 |
| 14 nm | Structure | 5 nm |
| Q4/2017 | Release date | Q2/2022 |
Screen |
||
| -- | Size | 13.3 inch |
| Resolution | 2560 x 1600 @ 60 Hz (227 ppi) | |
| -- | Ratio | 16:10 |
| -- | Technology | IPS |
| -- | Max. Brightness | 1000 nits |
| No | HDR support | Yes (1600 nits) |
| No | Always On Display | No |
| 5120 x 2880 @ 60 Hz | 1. external display | 6016 x 3384 @ 60 Hz |
| 4096 x 2160 @ 60 Hz | 2. external display | -- |
| -- | 3. external display | -- |
Storage |
||
| 256 - 2,048 GB | Size | 256 - 2,048 GB |
| SSD | Type | SSD |
| PCIe | Interface | PCIe |
| No | Upgradeable? | No |
| -- | 2. drive | -- |
| -- | Card reader | -- |
Battery |
||
| -- | Type | Lithium-Polymer |
| -- | Capacity | 58.20 Wh |
| -- | Battery life | 20.00 h |
| -- | Charging | USB-C @ 67 W |
Network |
||
| 802.11ac | Wireless LAN | 802.11ax (WLAN 6) |
| 1 Gbit | LAN | -- |
| Bluetooth 5.0 | Bluetooth | Bluetooth 5.0 |
| -- | Cellular | -- |
Camera |
||
| -- | Front camera | 0.9 MP, 720p |
| -- | Back camera 1 | -- |
| -- | Back camera 2 | -- |
| -- | Back camera 3 | -- |
Ports |
||
| 1x HDMI 2.0 | HDMI | -- |
| -- | DVI | -- |
| -- | DistplayPort | -- |
| 4x USB-C (Thunderbolt 3, DisplayPort, USB 3.1 Gen 2) | Thunderbolt | 2x USB-C (Thunderbolt 3, DisplayPort, USB 3.1 Gen 2) |
| 2x USB 3.0 | USB | -- |
| 2x (Thunderbolt) | USB-C | 2x (Thunderbolt 3 / USB 4.0) |
| -- | Lightning | -- |
| -- | Other | -- |
Dimensions / Housing |
||
| 36 mm | Height | 16 mm |
| 197 mm | Width | 304 mm |
| 197 mm | Depth | 212 mm |
| 1,300 g | Weight | 1,400 g |
| -- | Housing Material | Aluminum |
| -- | Glas Type | -- |
| -- | IP Protection Class | -- |
Additional data |
||
| A1993 | Part-no | -- |
| Macmini8,1 | Ident-No: | -- |
| 3213 | EMC-No: | -- |
| -- | Security features | TouchID |
| Link to manufacturer | data sheet | Link to manufacturer |
Intel Core i7-8700B, 8 - 64 GB DDR4
Buy this product at amazon!
Apple M2, 8 - 24 GB LPDDR5
Buy this product at amazon!
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.
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
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 Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
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.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
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.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
Cinebench 2024 - Single Core
The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in the 3D program Cinema 4D from the manufacturer Maxon. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation. Cinebench 2024 runs on Windows (x86-64 and arm) and macOS. He can also test the new Apple M processors.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
Cinebench 2024 - Multi Core
The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in the 3D program Cinema 4D from the manufacturer Maxon. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation. Cinebench 2024 runs on Windows (x86-64 and arm) and macOS. He can also test the new Apple M processors.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
Cinebench R23 - Single Core
Cinebench R23 is the latest version of Maxon's render benchmark. It is based on the Cinema 4D application, which is used to generate 3D shapes. We use the single-core as well as the multi-core test.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
Cinebench R23 - Multi Core
Cinebench R23 is the latest version of Maxon's render benchmark. It is based on the Cinema 4D application, which is used to generate 3D shapes. We use the single-core as well as the multi-core test.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
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.|
|
Apple Mac mini i7 3.2 (2018)
8 - 64 GB DDR4 |
|
|
|
|
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5 |
|
|
Popular comparisons
