Mac mini (Late 2018)
Geekbench AI Score
919
Single Precision Score
110
Half Precision Score
88
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 15 2026 01:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8500B |
| 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 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 | 64.00 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% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
733
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
1378
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1055
8.13 IPS |
|
|
Depth Estimation (Q)
|
85% |
677
5.30 IPS |
|
|
Style Transfer (SP)
|
100% |
3893
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2764
3.55 IPS |
|
|
Style Transfer (Q)
|
96% |
2172
2.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.4 IPS |
|
|
Text Classification (HP)
|
100% |
442
590.2 IPS |
|
|
Text Classification (Q)
|
93% |
439
589.7 IPS |
|
|
Machine Translation (SP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
595
10.3 IPS |
