Mac mini (Late 2018)
Geekbench AI Score
602
Single Precision Score
620
Half Precision Score
340
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 30 2024 07:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 8.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
99% |
147
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
5943
6.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
1603
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
94% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.5 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
682
5.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
656
5.06 IPS |
|
|
Depth Estimation (Q)
|
85% |
635
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1268
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1226
1.58 IPS |
|
|
Style Transfer (Q)
|
96% |
1188
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
308
11.4 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.5 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (Q)
|
93% |
244
327.6 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
98% |
387
6.69 IPS |
