Mac mini (Late 2018)
Geekbench AI Score
1902
Single Precision Score
2038
Half Precision Score
1081
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | jianglai |
| Upload Date | June 02 2025 10:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Vega Frontier Edition |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
542
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
96% |
142
26.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
3730
4.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
6746
7.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1781
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
94% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (Q)
|
100% |
258
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
14089
108.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17022
131.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
15813
123.6 IPS |
|
|
Style Transfer (SP)
|
100% |
67837
87.2 IPS |
|
|
Style Transfer (HP)
|
100% |
75320
96.8 IPS |
|
|
Style Transfer (Q)
|
96% |
92556
119.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7736
285.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9929
366.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8891
328.3 IPS |
|
|
Text Classification (SP)
|
100% |
461
614.7 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.1 IPS |
|
|
Text Classification (Q)
|
93% |
422
566.5 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
98% |
250
4.32 IPS |
