Mac mini (Late 2018)
Geekbench AI Score
2025
Single Precision Score
2261
Half Precision Score
1207
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | edsinsi |
| Upload Date | December 07 2024 07:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.6 IPS |
|
|
Image Classification (Q)
|
96% |
150
28.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
167
2.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6503
7.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
1722
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (Q)
|
94% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
100% |
231
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
20958
161.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24403
188.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
22500
175.8 IPS |
|
|
Style Transfer (SP)
|
100% |
70614
90.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72579
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
88888
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8094
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13076
482.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12594
465.0 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.1 IPS |
|
|
Text Classification (HP)
|
100% |
438
584.6 IPS |
|
|
Text Classification (Q)
|
93% |
395
529.6 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
98% |
416
7.19 IPS |
