Mac mini (Late 2020)
Geekbench AI Score
3052
Single Precision Score
14964
Half Precision Score
14559
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
6273
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5901
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8907
144.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9128
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
68361
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64919
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
6974
554.8 IPS |
|
|
Object Detection (Q)
|
91% |
6465
516.6 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
13787
163.8 IPS |
|
|
Face Detection (Q)
|
100% |
12697
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5441
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45944
354.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46241
361.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16399
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121729
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114884
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3423
126.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24134
891.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24284
896.7 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4163
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2776
48.0 IPS |
