Mac mini (Late 2020)
Geekbench AI Score
3230
Single Precision Score
5345
Half Precision Score
4418
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TEARME |
| Upload Date | December 26 2024 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (Q)
|
96% |
1534
286.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2611
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13970
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12102
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5532
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10947
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7630
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17071
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26670
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22164
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3439
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4045
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4335
74.9 IPS |
