Mac mini (Late 2020)
Geekbench AI Score
5537
Single Precision Score
6551
Half Precision Score
6075
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 10:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2446
454.9 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.2 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4031
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4264
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4102
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17234
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19398
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18810
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2716
215.4 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
92% |
2678
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
8642
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
6944
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12447
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14134
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13023
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29217
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35405
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34527
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6635
245.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7517
277.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6503
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1681
29.1 IPS |
