Mac mini (Late 2020)
Geekbench AI Score
4094
Single Precision Score
4666
Half Precision Score
4159
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (Q)
|
99% |
1919
358.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3488
56.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16307
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18026
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16263
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (Q)
|
92% |
1999
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
6272
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
7549
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
5083
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11665
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13063
100.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13181
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28366
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34368
44.2 IPS |
|
|
Style Transfer (Q)
|
100% |
33626
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5306
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.3 IPS |
|
|
Text Classification (HP)
|
100% |
552
736.5 IPS |
|
|
Text Classification (Q)
|
93% |
550
738.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1119
19.3 IPS |
