Mac mini (Late 2018)
Geekbench AI Score
968
Single Precision Score
117
Half Precision Score
94
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Birkin |
| Upload Date | April 01 2025 06:43 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
733
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
100% |
354
4.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
736
5.76 IPS |
|
|
Style Transfer (SP)
|
100% |
3871
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3081
3.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2409
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.4 IPS |
|
|
Text Classification (HP)
|
100% |
487
650.4 IPS |
|
|
Text Classification (Q)
|
93% |
487
653.1 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
613
10.6 IPS |
