Mac mini (Late 2018)
Geekbench AI Score
977
Single Precision Score
679
Half Precision Score
474
Quantized Score
Geekbench AI 1.5.0 Corporate for macOS AVX2
Result Information
| Upload Date | September 02 2025 08:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
96% |
187
34.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
293
4.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
3250
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
730
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
92% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (Q)
|
100% |
351
4.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
1508
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1150
8.86 IPS |
|
|
Depth Estimation (Q)
|
85% |
727
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
4442
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2912
3.74 IPS |
|
|
Style Transfer (Q)
|
96% |
2337
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
401
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
481
641.7 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.7 IPS |
|
|
Text Classification (Q)
|
93% |
467
626.6 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
98% |
577
9.97 IPS |
