Mac mini (Late 2020)
Geekbench AI Score
3229
Single Precision Score
5296
Half Precision Score
4399
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mafrmt00 |
| Upload Date | January 20 2025 04:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2167
402.9 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12066
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2429
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11106
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7683
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16761
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26097
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21986
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3357
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3793
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4274
73.9 IPS |
