Mac mini (Late 2020)
Geekbench AI Score
2821
Single Precision Score
4269
Half Precision Score
3556
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 20 |
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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
1690
314.3 IPS |
|
|
Image Classification (Q)
|
99% |
1684
314.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1155
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5832
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13452
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11519
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
1940
154.5 IPS |
|
|
Object Detection (Q)
|
94% |
1516
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2628
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8187
63.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3993
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15833
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24755
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
24778
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3347
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3049
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3036
52.5 IPS |
