Mac mini (Late 2018)
Geekbench AI Score
899
Single Precision Score
108
Half Precision Score
87
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | remusn |
| Upload Date | October 19 2025 06:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8500B |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500B |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
653
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (Q)
|
100% |
317
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1038
8.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
665
5.20 IPS |
|
|
Style Transfer (SP)
|
100% |
4115
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2710
3.48 IPS |
|
|
Style Transfer (Q)
|
96% |
2138
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
364
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.1 IPS |
|
|
Text Classification (HP)
|
100% |
443
590.9 IPS |
|
|
Text Classification (Q)
|
93% |
442
592.9 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
98% |
567
9.80 IPS |
