Mac mini (Late 2020)
Geekbench AI Score
3244
Single Precision Score
16091
Half Precision Score
15565
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 06:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
6479
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6051
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9785
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9724
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
68202
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60278
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7495
596.2 IPS |
|
|
Object Detection (Q)
|
91% |
7022
561.1 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16524
196.3 IPS |
|
|
Face Detection (Q)
|
100% |
15375
182.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49155
378.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49748
388.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17104
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
122574
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114827
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24033
887.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24749
913.9 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3831
66.2 IPS |
