Mac mini (Late 2020)
Geekbench AI Score
4010
Single Precision Score
4851
Half Precision Score
4357
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Brixen |
| Upload Date | August 16 2024 08:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1884
350.3 IPS |
|
|
Image Classification (HP)
|
100% |
1951
362.9 IPS |
|
|
Image Classification (Q)
|
99% |
1870
348.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3461
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16769
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18324
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16455
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (Q)
|
92% |
2031
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
6360
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
7602
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
5466
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12058
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13410
103.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13555
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28452
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34232
44.0 IPS |
|
|
Style Transfer (Q)
|
100% |
34052
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6294
232.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5429
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
340
453.4 IPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
93% |
727
975.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1146
19.8 IPS |
