Mac mini (Late 2018)
Geekbench AI Score
692
Single Precision Score
690
Half Precision Score
372
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AVX2
Result Information
| User | iPhil |
| Upload Date | April 23 2025 11:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.1 IPS |
|
|
Image Classification (Q)
|
96% |
148
27.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
157
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
3726
4.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
6732
7.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
1598
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
94% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
745
5.74 IPS |
|
|
Depth Estimation (Q)
|
85% |
721
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
1438
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1396
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1352
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
349
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.2 IPS |
|
|
Text Classification (Q)
|
93% |
286
383.9 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (Q)
|
98% |
396
6.84 IPS |
