Mac mini (Late 2018)
Geekbench AI Score
676
Single Precision Score
697
Half Precision Score
358
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | MikeWard1701 |
| Upload Date | November 10 2024 12:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
152
2.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6657
7.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1597
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
94% |
152
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
771
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
85% |
716
5.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1424
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1390
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1341
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
347
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.0 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.3 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.6 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
98% |
353
6.10 IPS |
