Mac mini (Late 2018)
Geekbench AI Score
818
Single Precision Score
668
Half Precision Score
539
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 24 2024 08:27 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
401
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
99% |
295
55.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
100% |
281
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2493
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1829
2.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
1407
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
92% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (Q)
|
100% |
319
3.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1315
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.96 IPS |
|
|
Depth Estimation (Q)
|
97% |
934
7.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3410
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3291
4.23 IPS |
|
|
Style Transfer (Q)
|
100% |
3352
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
390
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.8 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.4 IPS |
|
|
Text Classification (Q)
|
93% |
444
596.5 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
