Mac mini (Late 2020)
Geekbench AI Score
3088
Single Precision Score
5136
Half Precision Score
4328
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Emile39154 |
| Upload Date | December 31 2024 07:44 AM |
| Views | 3 |
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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
96% |
1533
286.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2573
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13780
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11936
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1743
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5514
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3009
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8072
62.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16392
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26189
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21799
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3119
115.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4441
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3402
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3710
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4164
72.0 IPS |
