Mac mini (Late 2020)
Geekbench AI Score
3092
Single Precision Score
15103
Half Precision Score
14758
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 03:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
6304
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5826
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8856
143.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9357
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6026
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
68386
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64800
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
99% |
6843
544.4 IPS |
|
|
Object Detection (Q)
|
91% |
6380
509.8 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
14007
166.4 IPS |
|
|
Face Detection (Q)
|
100% |
12965
154.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5495
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45752
352.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46286
361.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16515
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121038
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113994
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24298
897.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24435
902.3 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4244
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4321
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3011
52.0 IPS |
