Mac mini (Late 2018)
Geekbench AI Score
873
Single Precision Score
654
Half Precision Score
461
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | John_ApplePark |
| Upload Date | November 10 2024 04:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
96% |
184
34.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
286
4.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
703
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (Q)
|
92% |
219
17.5 IPS |
|
|
Face Detection (SP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.71 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1299
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.63 IPS |
|
|
Depth Estimation (Q)
|
85% |
718
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
3373
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
2861
3.68 IPS |
|
|
Style Transfer (Q)
|
96% |
2243
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
394
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.2 IPS |
|
|
Text Classification (HP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (Q)
|
93% |
452
606.5 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
98% |
547
9.46 IPS |
