Mac mini (Late 2018)
Geekbench AI Score
2098
Single Precision Score
2302
Half Precision Score
1176
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | ncsancsa |
| Upload Date | September 23 2025 10:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.2 IPS |
|
|
Image Classification (Q)
|
96% |
109
20.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
174
2.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
3720
4.34 IPS |
|
|
Pose Estimation (HP)
|
99% |
6662
7.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1572
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
94% |
118
9.41 IPS |
|
|
Face Detection (SP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
100% |
222
2.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
28690
221.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
30321
233.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
28551
223.1 IPS |
|
|
Style Transfer (SP)
|
100% |
130704
168.0 IPS |
|
|
Style Transfer (HP)
|
100% |
124177
159.6 IPS |
|
|
Style Transfer (Q)
|
96% |
147787
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8035
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16214
598.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14784
545.9 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.3 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.3 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.0 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.92 IPS |
