Mac mini (Late 2018)
Geekbench AI Score
920
Single Precision Score
673
Half Precision Score
470
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | KipR |
| Upload Date | October 07 2024 12:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.9 IPS |
|
|
Image Classification (Q)
|
96% |
183
34.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
290
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2687
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
743
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
92% |
218
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.96 IPS |
|
|
Face Detection (Q)
|
100% |
350
4.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
1363
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
726
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3759
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3026
3.89 IPS |
|
|
Style Transfer (Q)
|
96% |
2361
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.3 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.6 IPS |
|
|
Text Classification (Q)
|
93% |
463
620.7 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.71 IPS |
