Mac mini (Late 2020)
Geekbench AI Score
4969
Single Precision Score
5804
Half Precision Score
5107
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | heartcrazed |
| Upload Date | February 09 2025 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2494
463.8 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.5 IPS |
|
|
Image Classification (Q)
|
97% |
2313
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2723
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3655
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3736
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17168
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18941
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17462
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2788
221.2 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
91% |
2288
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
6883
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
8223
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
5687
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12341
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13998
107.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11408
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28981
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34847
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32826
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6647
245.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7589
280.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5739
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
715
12.4 IPS |
