Mac mini (Late 2020)
Geekbench AI Score
3240
Single Precision Score
5273
Half Precision Score
4423
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 09:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13919
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12064
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5479
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5857
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11103
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7702
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16934
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26598
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22170
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3377
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3237
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4331
74.8 IPS |
