Mac mini (Late 2020)
Geekbench AI Score
1715
Single Precision Score
12543
Half Precision Score
9966
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 03:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
6505
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
5765
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
474
7.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68681
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66844
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
99% |
7249
576.7 IPS |
|
|
Object Detection (Q)
|
93% |
6806
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
11917
141.6 IPS |
|
|
Face Detection (Q)
|
100% |
10394
123.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3077
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44953
346.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51992
406.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9813
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120205
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116145
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18050
666.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21099
779.1 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.7 IPS |
|
|
Text Classification (HP)
|
100% |
2581
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2546
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2308
39.9 IPS |
