Mac mini (Late 2020)
Geekbench AI Score
3096
Single Precision Score
5421
Half Precision Score
4476
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.5 IPS |
|
|
Image Classification (Q)
|
96% |
1584
295.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6044
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14153
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12165
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5469
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5484
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10422
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7392
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16522
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26371
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21962
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4330
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4694
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4710
81.4 IPS |
