Mac mini (Late 2020)
Geekbench AI Score
3240
Single Precision Score
5288
Half Precision Score
4384
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ijunghaertchen |
| Upload Date | January 06 2025 05:11 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
2203
409.8 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13951
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12109
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5482
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11091
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7705
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17124
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26724
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22102
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4415
163.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3186
117.6 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3638
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4270
73.8 IPS |
