Mac mini (Late 2020)
Geekbench AI Score
3147
Single Precision Score
5263
Half Precision Score
4345
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | petergraening |
| Upload Date | January 17 2025 04:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2149
399.7 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2564
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13761
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11904
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5287
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3051
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5725
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10934
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7642
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16625
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26111
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21889
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3381
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3822
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4115
71.1 IPS |
