Mac mini (Late 2020)
Geekbench AI Score
5421
Single Precision Score
6252
Half Precision Score
5879
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tjticknor |
| Upload Date | April 17 2025 08:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2466
458.6 IPS |
|
|
Image Classification (HP)
|
100% |
2587
481.1 IPS |
|
|
Image Classification (Q)
|
96% |
2532
472.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3944
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16811
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18637
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17944
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (Q)
|
92% |
2477
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
6695
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8178
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
6688
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11907
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13545
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12415
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28975
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34525
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33929
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6586
243.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7281
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6343
234.2 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1497
25.9 IPS |
