Mac mini (Late 2020)
Geekbench AI Score
3204
Single Precision Score
5284
Half Precision Score
4382
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | seancuttlefish |
| Upload Date | March 04 2025 04:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13919
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5372
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5836
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11081
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26240
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21899
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3376
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3971
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3662
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4204
72.7 IPS |
