Mac mini (Late 2020)
Geekbench AI Score
2680
Single Precision Score
4105
Half Precision Score
3358
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Markus2801A |
| Upload Date | August 16 2024 11:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (Q)
|
99% |
1677
312.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1196
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5810
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
12525
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11257
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
1921
152.9 IPS |
|
|
Object Detection (Q)
|
94% |
1506
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3877
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
2435
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7980
61.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3373
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14018
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25077
32.2 IPS |
|
|
Style Transfer (Q)
|
100% |
25119
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3372
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2993
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2606
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2577
44.5 IPS |
