Mac mini (Late 2020)
Geekbench AI Score
3208
Single Precision Score
16101
Half Precision Score
15739
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
6333
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5996
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10092
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
69631
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67022
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7448
592.5 IPS |
|
|
Object Detection (Q)
|
91% |
6904
551.7 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16991
201.9 IPS |
|
|
Face Detection (Q)
|
100% |
15407
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49977
385.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49114
383.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122410
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115565
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23666
873.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24849
917.6 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3806
65.8 IPS |
