Mac mini (Late 2020)
Geekbench AI Score
5206
Single Precision Score
6120
Half Precision Score
5735
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 09:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2400
446.4 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (Q)
|
96% |
2432
454.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4141
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16157
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18354
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17612
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (Q)
|
92% |
2458
196.2 IPS |
|
|
Face Detection (SP)
|
100% |
6202
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
5635
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9781
75.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10597
81.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12177
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27687
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33726
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32710
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6082
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1715
29.6 IPS |
