Mac mini (Late 2020)
Geekbench AI Score
4055
Single Precision Score
4690
Half Precision Score
1611
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 03:14 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1906
354.4 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.4 IPS |
|
|
Image Classification (Q)
|
97% |
1825
340.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16812
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18299
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
2542
201.6 IPS |
|
|
Object Detection (Q)
|
92% |
2034
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
6250
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
7481
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
5314
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11997
92.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13639
105.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28699
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34127
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31578
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6393
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5520
203.8 IPS |
|
|
Text Classification (SP)
|
100% |
358
477.4 IPS |
|
|
Text Classification (HP)
|
100% |
510
680.9 IPS |
|
|
Text Classification (Q)
|
93% |
505
677.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1159
20.0 IPS |
