Mac mini (Late 2018)
Geekbench AI Score
620
Single Precision Score
643
Half Precision Score
385
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 18 |
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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
483
90.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (Q)
|
100% |
242
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
99% |
5941
6.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
1575
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
94% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1516
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
100% |
222
2.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
619
4.77 IPS |
|
|
Depth Estimation (Q)
|
97% |
618
4.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1268
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1221
1.57 IPS |
|
|
Style Transfer (Q)
|
100% |
1216
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
288
10.7 IPS |
|
|
Text Classification (SP)
|
99% |
245
328.6 IPS |
|
|
Text Classification (HP)
|
99% |
228
304.9 IPS |
|
|
Text Classification (Q)
|
93% |
122
163.2 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
98% |
434
7.50 IPS |
