Mac mini (Late 2018)
Geekbench AI Score
565
Single Precision Score
574
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | ocornielje |
| Upload Date | December 08 2024 02:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
164
2.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (HP)
|
99% |
6732
7.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
1695
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
94% |
167
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (Q)
|
100% |
237
2.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
759
5.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
746
5.75 IPS |
|
|
Depth Estimation (Q)
|
1% |
2
5.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1428
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1401
1.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1337
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
254
9.37 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
232
8.58 IPS |
|
|
Text Classification (SP)
|
98% |
79
105.5 IPS |
|
|
Text Classification (HP)
|
98% |
74
98.7 IPS |
|
|
Text Classification (Q)
|
89% |
44
59.6 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (Q)
|
98% |
239
4.13 IPS |
