Mac mini (Late 2020)
Geekbench AI Score
3218
Single Precision Score
16168
Half Precision Score
15775
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 10 2025 10:19 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
6345
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6103
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9718
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10227
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
70647
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66278
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7575
602.6 IPS |
|
|
Object Detection (Q)
|
91% |
6923
553.1 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16846
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15387
182.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50465
388.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49362
385.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17023
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122831
157.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115819
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23811
879.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24526
905.6 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4033
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3831
66.2 IPS |
