Mac mini (Late 2020)
Geekbench AI Score
4932
Single Precision Score
5849
Half Precision Score
5221
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ijunghaertchen |
| Upload Date | January 06 2025 05:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2180
405.5 IPS |
|
|
Image Classification (HP)
|
100% |
2478
460.8 IPS |
|
|
Image Classification (Q)
|
97% |
2309
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3683
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3757
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18713
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17460
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.1 IPS |
|
|
Object Detection (HP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (Q)
|
91% |
2263
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
6841
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
8300
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
5749
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12339
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13879
106.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11518
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29007
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35030
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33098
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6613
244.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7352
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5626
207.8 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
881
15.2 IPS |
