Mac mini (Late 2020)
Geekbench AI Score
3115
Single Precision Score
5291
Half Precision Score
4340
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 09:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14075
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12114
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2381
189.6 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5206
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
3099
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5541
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10352
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7314
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16573
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26439
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22119
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3474
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4061
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4031
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4005
69.2 IPS |
