Mac mini (Late 2020)
Geekbench AI Score
5621
Single Precision Score
6592
Half Precision Score
6070
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | April 10 2025 03:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2853
530.6 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.4 IPS |
|
|
Image Classification (Q)
|
96% |
2693
503.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3909
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4370
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4162
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17106
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18061
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
2856
226.6 IPS |
|
|
Object Detection (Q)
|
92% |
2636
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8783
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
7203
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12327
95.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13466
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12561
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29424
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35151
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34701
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7881
291.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6477
239.2 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1533
26.5 IPS |
