Mac mini (Late 2018)
Geekbench AI Score
929
Single Precision Score
111
Half Precision Score
90
Quantized Score
Geekbench AI 1.7.0 Corporate for macOS AVX2
Result Information
| Upload Date | February 11 2026 06:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2954
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
697
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.40 IPS |
|
|
Depth Estimation (Q)
|
85% |
707
5.53 IPS |
|
|
Style Transfer (SP)
|
100% |
4278
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2841
3.65 IPS |
|
|
Style Transfer (Q)
|
96% |
2253
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
475
633.9 IPS |
|
|
Text Classification (HP)
|
100% |
475
633.4 IPS |
|
|
Text Classification (Q)
|
93% |
475
637.2 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.64 IPS |
|
|
Machine Translation (Q)
|
98% |
559
9.66 IPS |
