Mac mini (Late 2018)
Geekbench AI Score
621
Single Precision Score
643
Half Precision Score
388
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 11 2024 08:45 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
479
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
100% |
240
3.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
3272
3.82 IPS |
|
|
Pose Estimation (HP)
|
99% |
5910
6.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1599
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
94% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (Q)
|
100% |
224
2.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
641
4.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
620
4.78 IPS |
|
|
Depth Estimation (Q)
|
97% |
618
4.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1263
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1223
1.57 IPS |
|
|
Style Transfer (Q)
|
100% |
1216
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
291
10.8 IPS |
|
|
Text Classification (SP)
|
99% |
247
330.5 IPS |
|
|
Text Classification (HP)
|
99% |
229
306.2 IPS |
|
|
Text Classification (Q)
|
93% |
132
177.7 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
98% |
430
7.43 IPS |
