Mac mini (Late 2020)
Geekbench AI Score
5434
Single Precision Score
6361
Half Precision Score
5962
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 10 2025 10:07 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2177
404.8 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3994
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16951
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18875
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18085
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (Q)
|
92% |
2511
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
6660
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8364
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
6971
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12090
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13641
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12771
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29185
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35203
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34172
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6725
248.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7423
274.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6154
227.2 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1631
28.2 IPS |
