Mac mini (Late 2020)
Geekbench AI Score
3092
Single Precision Score
5482
Half Precision Score
4478
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | December 31 2025 06:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (Q)
|
96% |
1591
297.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2545
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14149
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12164
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5452
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10363
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7402
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16564
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26330
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21874
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4347
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4343
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4666
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
81.0 IPS |
