Mac mini (Late 2020)
Geekbench AI Score
4883
Single Precision Score
5743
Half Precision Score
5077
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | paulofduarte |
| Upload Date | November 13 2024 09:23 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
2314
430.4 IPS |
|
|
Image Classification (Q)
|
97% |
2087
389.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3645
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3720
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17012
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18782
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17483
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
91% |
2217
177.2 IPS |
|
|
Face Detection (SP)
|
100% |
6865
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8330
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
5942
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12037
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13685
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11413
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29293
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35252
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33119
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6436
237.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7212
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5432
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
813
14.0 IPS |
