Mac mini (Late 2020)
Geekbench AI Score
1970
Single Precision Score
12426
Half Precision Score
10080
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 10:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5709
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4255
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
524
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
68567
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65755
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
99% |
7158
569.4 IPS |
|
|
Object Detection (Q)
|
93% |
6653
530.9 IPS |
|
|
Face Detection (SP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12236
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
12384
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3565
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45019
346.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
51271
400.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10035
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119519
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113138
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18006
664.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20908
772.0 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2396
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2300
39.7 IPS |
