Mac mini (Late 2020)
Geekbench AI Score
2853
Single Precision Score
5139
Half Precision Score
4273
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 02:43 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
96% |
1398
261.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2318
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5366
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
13773
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11915
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2375
189.1 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5317
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10389
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7333
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14595
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26263
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20470
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3413
126.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4598
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4137
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3776
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4625
79.9 IPS |
