Mac mini (Late 2018)
Geekbench AI Score
901
Single Precision Score
111
Half Precision Score
91
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AVX2
Result Information
| User | iPhil |
| Upload Date | April 23 2025 11:05 AM |
| Views | 3 |
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 | 8.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2787
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
707
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.80 IPS |
|
|
Face Detection (Q)
|
100% |
330
3.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
1393
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1088
8.38 IPS |
|
|
Depth Estimation (Q)
|
85% |
701
5.48 IPS |
|
|
Style Transfer (SP)
|
100% |
4275
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2893
3.72 IPS |
|
|
Style Transfer (Q)
|
96% |
2310
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
383
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.4 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.2 IPS |
|
|
Text Classification (Q)
|
93% |
488
655.1 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
98% |
556
9.60 IPS |
