Mac mini (Late 2020)
Geekbench AI Score
5405
Single Precision Score
6332
Half Precision Score
5897
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 08:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
2424
452.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4015
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4080
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17153
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18687
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2460
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
6824
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8537
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
7063
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12231
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14085
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12890
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29196
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35470
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34713
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6571
242.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7566
279.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6323
233.5 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1403
24.3 IPS |
