Mac mini (Late 2018)
Geekbench AI Score
932
Single Precision Score
111
Half Precision Score
91
Quantized Score
Geekbench AI 1.6.1 Corporate for macOS AVX2
Result Information
| Upload Date | December 22 2025 05:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
462
7.50 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
781
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
711
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
100% |
335
3.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1441
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.42 IPS |
|
|
Depth Estimation (Q)
|
85% |
710
5.55 IPS |
|
|
Style Transfer (SP)
|
100% |
4324
5.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2831
3.64 IPS |
|
|
Style Transfer (Q)
|
96% |
2292
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
390
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.9 IPS |
|
|
Text Classification (HP)
|
100% |
477
637.2 IPS |
|
|
Text Classification (Q)
|
93% |
477
640.7 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (Q)
|
98% |
558
9.64 IPS |
