Mac mini (Late 2020)
Geekbench AI Score
4954
Single Precision Score
5780
Half Precision Score
5179
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | November 01 2024 10:47 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
2265
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
97% |
2212
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3652
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3728
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17111
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18669
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17306
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.5 IPS |
|
|
Object Detection (Q)
|
91% |
2209
176.5 IPS |
|
|
Face Detection (SP)
|
100% |
6918
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
8432
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5760
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12165
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13687
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11340
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29141
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35018
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32482
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6478
239.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7264
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
