Mac mini (Late 2020)
Geekbench AI Score
3165
Single Precision Score
16056
Half Precision Score
15708
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tjticknor |
| Upload Date | April 17 2025 08:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
6394
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6021
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9695
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10282
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6431
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
69485
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66968
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
7523
598.4 IPS |
|
|
Object Detection (Q)
|
91% |
6859
548.1 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
16858
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
14997
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48740
375.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49356
385.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16455
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122336
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116348
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3652
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24046
887.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24616
908.9 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3717
64.2 IPS |
