Mac mini (Late 2020)
Geekbench AI Score
4488
Single Precision Score
5541
Half Precision Score
4779
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
97% |
1985
370.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3032
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14885
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16687
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15627
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
2498
198.2 IPS |
|
|
Object Detection (Q)
|
91% |
2069
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
5581
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
7817
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
5100
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10673
82.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12869
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10047
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25658
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33013
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29390
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6790
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
