Mac mini (Late 2020)
Geekbench AI Score
5085
Single Precision Score
6072
Half Precision Score
5371
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 06:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2467
458.9 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.8 IPS |
|
|
Image Classification (Q)
|
97% |
2312
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3680
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3745
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17200
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18777
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17644
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2899
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
2756
218.6 IPS |
|
|
Object Detection (Q)
|
91% |
2298
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
8421
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
6171
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12371
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14107
108.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11709
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29231
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35216
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33135
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6716
248.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7507
277.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5646
208.5 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
