Mac mini (Late 2018)
Geekbench AI Score
694
Single Precision Score
715
Half Precision Score
348
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 24.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.5 IPS |
|
|
Image Classification (Q)
|
96% |
141
26.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
162
2.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
3695
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6632
7.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1715
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
94% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
775
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
744
5.73 IPS |
|
|
Depth Estimation (Q)
|
85% |
715
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
1437
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1395
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1349
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
349
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
326
435.2 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.1 IPS |
|
|
Text Classification (Q)
|
93% |
157
211.3 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
