Mac mini (Late 2020)
Geekbench AI Score
5801
Single Precision Score
6730
Half Precision Score
6291
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 06:27 AM |
| Views | 3 |
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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.3 IPS |
|
|
Image Classification (Q)
|
96% |
2800
522.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4237
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17257
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19569
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18860
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (HP)
|
100% |
2986
236.8 IPS |
|
|
Object Detection (Q)
|
92% |
2630
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
7068
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
8672
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
7360
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12664
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14759
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13296
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29401
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35612
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35035
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8157
301.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6939
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1782
30.8 IPS |
