Mac mini (Late 2018)
Geekbench AI Score
640
Single Precision Score
466
Half Precision Score
343
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | a0545 |
| Upload Date | January 05 2025 08:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| 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 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
96% |
149
27.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
221
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
1842
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
451
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.10 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
894
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.62 IPS |
|
|
Depth Estimation (Q)
|
85% |
508
3.97 IPS |
|
|
Style Transfer (SP)
|
100% |
2347
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1779
2.29 IPS |
|
|
Style Transfer (Q)
|
96% |
1492
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
272
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (HP)
|
100% |
373
497.5 IPS |
|
|
Text Classification (Q)
|
93% |
396
532.0 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
98% |
432
7.47 IPS |
