Mac mini (Late 2020)
Geekbench AI Score
2818
Single Precision Score
4267
Half Precision Score
3552
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 05:18 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (Q)
|
99% |
1686
314.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1155
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13454
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
1939
154.4 IPS |
|
|
Object Detection (Q)
|
94% |
1516
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2352
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2584
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5213
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8189
63.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4009
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15609
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24742
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
24695
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3345
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3059
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3048
52.7 IPS |
