Mac mini (Late 2020)
Geekbench AI Score
3255
Single Precision Score
5352
Half Precision Score
4422
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 06:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2503
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6552
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
14002
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12109
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2449
195.0 IPS |
|
|
Object Detection (Q)
|
94% |
1804
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5495
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3199
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11105
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7687
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17035
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26716
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22194
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4707
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3439
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4111
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3963
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4361
75.4 IPS |
