Mac mini (Late 2020)
Geekbench AI Score
3226
Single Precision Score
5429
Half Precision Score
4423
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.2 IPS |
|
|
Image Classification (Q)
|
96% |
1588
296.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2542
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6438
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14101
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12164
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2397
190.8 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5457
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3157
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10404
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7401
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17011
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27037
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22471
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4315
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4316
74.6 IPS |
