Mac mini (Late 2020)
Geekbench AI Score
2991
Single Precision Score
13506
Half Precision Score
13790
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lordhan |
| Upload Date | February 02 2025 07:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6404
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6035
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9737
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9826
159.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
71092
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55640
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
99% |
6991
556.1 IPS |
|
|
Object Detection (Q)
|
91% |
6788
542.4 IPS |
|
|
Face Detection (SP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
15351
182.4 IPS |
|
|
Face Detection (Q)
|
100% |
7173
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51110
393.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47517
371.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14730
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
99442
127.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117938
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20919
772.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23001
849.3 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2389
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3197
55.3 IPS |
