Mac mini (Late 2018)
Geekbench AI Score
679
Single Precision Score
460
Half Precision Score
338
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 30 2024 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i3-8100B |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100B |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
96% |
146
27.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
213
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
437
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
92% |
164
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (Q)
|
100% |
276
3.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
1042
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.89 IPS |
|
|
Depth Estimation (Q)
|
85% |
524
4.10 IPS |
|
|
Style Transfer (SP)
|
100% |
2689
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1733
2.23 IPS |
|
|
Style Transfer (Q)
|
96% |
1450
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
276
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
394
526.2 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.9 IPS |
|
|
Text Classification (Q)
|
93% |
384
515.5 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
98% |
401
6.92 IPS |
