Mac mini (Late 2020)
Geekbench AI Score
2558
Single Precision Score
4446
Half Precision Score
3735
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | bestideas |
| Upload Date | December 22 2025 12:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1139
211.8 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (Q)
|
96% |
1394
260.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2291
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4984
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
12410
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
7859
9.21 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (HP)
|
97% |
1408
112.1 IPS |
|
|
Object Detection (Q)
|
94% |
1367
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
2134
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
2653
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4749
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8114
62.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6465
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13938
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22730
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19365
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3098
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4041
69.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3995
69.0 IPS |
