Mac mini (Late 2018)
Geekbench AI Score
897
Single Precision Score
109
Half Precision Score
89
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | April 22 2025 10:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2771
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
650
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (Q)
|
100% |
346
4.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1011
7.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
678
5.30 IPS |
|
|
Style Transfer (SP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2640
3.39 IPS |
|
|
Style Transfer (Q)
|
96% |
2114
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
372
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
464
618.7 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.9 IPS |
|
|
Text Classification (Q)
|
93% |
470
631.4 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
98% |
580
10.0 IPS |
