Mac mini (Late 2020)
Geekbench AI Score
5501
Single Precision Score
6330
Half Precision Score
5896
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | atlasnull |
| Upload Date | April 22 2025 01:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2411
448.3 IPS |
|
|
Image Classification (HP)
|
100% |
2492
463.4 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4094
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4152
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17042
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18723
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18086
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (Q)
|
92% |
2506
200.0 IPS |
|
|
Face Detection (SP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
6832
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12113
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13766
106.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12791
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28996
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34812
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33742
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6630
244.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7342
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6258
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1592
27.5 IPS |
