Mac mini (Late 2018)
Geekbench AI Score
698
Single Precision Score
720
Half Precision Score
382
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Birkin |
| Upload Date | April 01 2025 06:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
3764
4.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
6749
7.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1717
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
94% |
153
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
100% |
255
3.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
748
5.76 IPS |
|
|
Depth Estimation (Q)
|
85% |
727
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1449
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1405
1.81 IPS |
|
|
Style Transfer (Q)
|
96% |
1357
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
351
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.6 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.6 IPS |
|
|
Text Classification (Q)
|
93% |
290
389.4 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
98% |
400
6.90 IPS |
