Mac mini (Late 2020)
Geekbench AI Score
3220
Single Precision Score
16080
Half Precision Score
15722
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 10:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
6399
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6038
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9812
159.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10018
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
69429
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67048
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7353
584.9 IPS |
|
|
Object Detection (Q)
|
91% |
6747
539.1 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16919
201.0 IPS |
|
|
Face Detection (Q)
|
100% |
15510
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49116
378.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48915
382.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17016
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122729
157.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115703
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23567
870.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24834
917.0 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4070
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3801
65.7 IPS |
